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From the perspective of configuration, this paper takes the region of manufacturing efficiency as the explanatory variable, selects eight antecedent conditions, and applies fuzzy set qualitative comparative analysis (fsQCA) to study the paths and methods of improving manufacturing emission efficiency. The results of the study show that there are two configuration paths of carbon emission efficiency in manufacturing industry, namely, research frontier and technological innovation level and labour force structure, R&D investment, science and technology innovation level, manufacturing output value, and environmental regulation synergistic path. [ABSTRACT FROM AUTHOR]

Background: Ensuring that the scale and hierarchical structure of health human resources are rational, and that medical services are efficient and fair, is an important task of practical significance. On this basis, examining the impact of health human resources on the level of medical services presents a new and formidable challenge. This study aims to delve into how the scale and hierarchical structure of health human resources in China's four major economic regions affect the fairness and efficiency of medical services, and to identify optimization strategies. Methods: This study utilizes provincial panel data from China's four major economic regions spanning the years 2009 to 2021. Initially, it provides a statistical description of the current state of health human resources and the level of medical services. Subsequently, it employs a fixed-effects model to analyze the impact of the scale and hierarchical structure of health human resources, as well as their interactive effects, on the fairness and efficiency of medical services, and discusses the interactive mechanisms between medical service fairness and medical service efficiency. Furthermore, after conducting a comprehensive evaluation of the level of medical services using the entropy weight method, it explores the regional heterogeneity and temporal dynamics in the influence of the scale and hierarchical structure of health human resources on the level of medical services. Finally, the study examines the scientific validity and rationality of the research findings through various robustness checks, including the substitution of research variables and models. Results: The study found that the scale of health human resources has a promoting effect on the equity of medical services (β ≤ 0.643, p ≤ 0.01), but exhibits an inhibitory effect on the efficiency of medical services (β ≥ -0.079, p ≤ 0.1); the hierarchical structure of health human resources shows a positive impact on both the equity and efficiency of medical services (βequity ≤ 0.160, p ≤ 0.01; βefficiency ≤ 0.341, p ≤ 0.05); at the same time, the results indicate that the interactive effect of the scale and hierarchical structure of health human resources promotes equity in medical services (β = 0.067, p ≤ 0.01), but restricts the efficiency of medical services (β ≥ -0.039, p ≤ 0.01); the mechanism by which health human resources affect the level of medical services in China's western and northeastern regions is more pronounced than in the central and eastern regions; after the implementation of the "Healthy China 2030" Planning Outline, the role of health human resources in the level of medical services has been strengthened; in the robustness tests, the model remains robust after replacing the core explanatory variables, with R2 maintained between 0.869 and 0.972, and the dynamic GMM model test shows a significant second-order lag in the level of medical services (βequity ≤ 0.149, p ≤ 0.01; βefficiency ≤ 0.461, p ≤ 0.01); the channel test results prove that managerial personnel and other technical personnel are key pathways in regulating the impact of medical staff on the level of medical services. Conclusion: This study provides an in-depth analysis of the impact of health human resources on the level of medical services, revealing that both the scale and hierarchical structure of health human resources significantly affect the equity and efficiency of medical services. Furthermore, the influence of health human resources on the level of medical services exhibits regional heterogeneity and temporal characteristics. Robustness tests ensure the scientific validity and robustness of the research conclusions. This provides effective references for optimizing the allocation of health human resources and improving the level of medical services. [ABSTRACT FROM AUTHOR]

Introduction: The rapid aging of the labor force has serious implications for socioeconomic development and poses challenges to food sustainability. Existing studies have focused on the impact of labor force aging on land productivity, but little attention has been paid to the comprehensive capacity of agricultural production, namely the total factor productivity of agriculture. Methods: We estimate the impact of labor force aging on total factor productivity in agriculture using data from 170,506 sample farm households from the National Fixed Point Survey data from 2003 to 2020. We estimate the results using a panel fixed effects approach and mitigate the endogeneity problem using an instrumental variables approach to ensure the robustness of the estimates. Results and discussion: The results show that labor force aging has an adverse effect on the agricultural total factor productivity of farm households and remains robust after addressing endogeneity and substituting explanatory variables. The aging effect shows significant heterogeneity across different food functional areas with different types of farm households. The negative impact of labor force aging on total factor productivity in agriculture is mainly concentrated in the main grain-production and grain-producing and marketingbalanced areas. We also find that the negative impact of labor force aging is more significant among large-scale farmers. The mechanism analysis finds that the aging of the labor force adversely affects the agricultural total factor productivity by inhibiting technological progress and reducing the efficiency of agricultural resource allocation. These insights, when considered in the light of global trends towards agricultural labor aging, suggest that policy interventions aimed at promoting technological adoption, enhancing resource allocation efficiency, and supporting the transitioning of older farmers may hold promise for maintaining food sustainability and addressing the challenges posed by an aging agricultural workforce in numerous developing nations. [ABSTRACT FROM AUTHOR]

Assessments of farmer satisfaction can be a crucial tool for effectively implementing an appropriate ecological compensation policy. This study evaluates the effectiveness of an ecological compensation policy for crop rotation in China's black soil regions from the perspective of farmer satisfaction. Specifically, utilizing an improved entropy TOPSIS, logistic regression, and the obstacle degree model, this empirical study analyzes the performance of the ecological compensation policy for crop rotation in black soil regions and identifies barriers in Heilongjiang Province. The findings indicate that gender significantly and positively affects outcomes at the 10% level, while age has a notable influence at the 5% level. Additionally, the family labor force and the quality of cultivated land, both significant at the 5% level with negative coefficients, suggest a diminished likelihood of farmers participating in these ecological compensation projects. The family's source of income, significantly influential at the 1% level, also indicates a lower propensity among farmers to engage. Performance analysis reveals that the values for variables of satisfaction with the project's publicity (A1), satisfaction with the protection of farmers' rights and interest (A3), overall satisfaction with the effectiveness of the project (B1), satisfaction with ecological compensation methods (B3), and satisfaction with household income after the implementation of the project (C1) are above the average. In contrast, values for variables of satisfaction with the supervision and management (A2), satisfaction with the payment of ecological compensation funds (A4), satisfaction level with black soil rotation ecological compensation standards (B2), satisfaction with the welfare level of family life after the implementation of the project (C2), and satisfaction with farmers' proactive participation in the project (D1) fall below the average of 3.03. Therefore, this study provides a comprehensive framework for assessing the effectiveness of the ecological compensation policy for crop rotation in China's black soil regions and offers recommendations for enhancing its performance. [ABSTRACT FROM AUTHOR]

There is growing interest in the impact of climate change on agricultural labor supply in China, rigorous empirical evidence for this issue is insufficient. This potentially important channel through which climate change may affect agricultural labor supply has not received attention. Using a panel survey data of 100 administrative villages and 2977 farmers in China, we find that temperature and precipitation do affect farmers' labor allocation, 1°C increase from the current average temperature will reduce agricultural labor supply by 0.252%, and 1mm increase from the current average rainfall will reduce agricultural labor supply by 0.001%. Climate change also leads to the decline of net agricultural income, which creates distorted incentives for households to over-supply labor to non-agriculture. Moreover, farmers with relatively lower risk tolerance preferred to reduce the current supply of agricultural labor when net agricultural income is projected to decrease under climate change scenarios. [ABSTRACT FROM AUTHOR]

With more and more loss caused by forest biological disasters (FBDs) in China, forest farmers, as one of the most important stakeholders, are participating in the control. In this study, the ordinary least squares model, simultaneous equation model, and propensity score matching method were used with the data from 818 surveys conducted in the typical FBD outbreak provinces, to reveal the FBD control behaviors of forest farmers and their differences between western and eastern regions of China. The results indicated the following. (1) Household factors: forest farmers could timely take control measures. An increase of 1 ha in the area of occurrence would increase the control measures by 3.26 ha. However, the control measures can only reduce 50% of the economic loss caused by FBDs and cannot effectively control the spread trend of FBDs. There are issues, including an insufficient and old labor force, insufficient technology support, and low consciousness of ecology protection. (2) External factors: forest farmers would increase control when the temperature rises, and reduce control when rainfall increases. After village committees unify organizing the control, their participation enthusiasm would increase, which would have a substitution relationship with the household investment. (3) Regional difference: the eastern region of China has higher figures than the western in terms of outbreak area, economic losses, control measures, and pesticide cost. If the western forest farmers have the control funds as the eastern forest farmers have, and the eastern forest farmers have the control intensity as the western forest farmers have, the overall FBD control effect would be better. [ABSTRACT FROM AUTHOR]

The high cost of medical care and its association with poverty have given rise to a growing concern for developing countries, but how insurance plans affect household income and alleviate poverty has been rarely discussed. This study aims to bridge this research gap by examining a medical insurance reform in China, a major program of the targeted poverty alleviation (TPA) strategy, which offers higher reimbursement rates and lower medical deductibles for low‐income households. We use an administrative data set on impoverished people in a Chinese county to examine how exogenous changes in the medical insurance system affect the income structure of low‐income households. We apply a two‐part model to a Difference‐in‐Differences framework, with households that received reimbursement of the insurance reform as the treatment group and others as the control group. Our results imply that the medical insurance reform could increase the overall household income diversity. The mechanism analysis suggests that the medical insurance reform improves the health conditions of patients and encourages caregivers to engage more in off‐farm work. [ABSTRACT FROM AUTHOR]

Food security is a goal and means of global sustainable development, and an important component of China's national security. Based on grain production data from 2000 to 2020, 31 provinces (cities, autonomous regions) in China were used as research units to analyze the spatiotemporal differences and driving forces of grain production in China using a combination of local correlation index, center of gravity transfer model, and geographic detector. The results as follows, ① During the research period, China's total grain production showed a decrease followed by an increase, and the yield per unit area of grain showed an increasing trend. Corn has become the "largest staple food" in China; ② During the research period, the focus of China's grain production continued to shift northward, with Heilongjiang, Henan and Shandong provinces becoming the main grain production areas, with Henan being the province where China's grain production center was located. Among the factors affecting grain yield, the effective irrigation area (0.971) has the strongest explanatory power. Finally, countermeasures and suggestions were proposed from five aspects, stabilizing grain production, reducing grain inventory pressure, implementing regional grain security responsibilities, improving grain circulation efficiency, promoting high-quality grain engineering construction, adjusting grain production structure, strictly implementing farmland protection responsibilities, scientifically applying pesticides, fertilizers and other production materials, emphasizing agricultural infrastructure construction and stabilizing the number of agricultural labor force. [ABSTRACT FROM AUTHOR]

Tourism efficiency has become an important role in promoting tourism competitiveness and driving sustainable development. It is particularly important to identify and agnalyze the factors and mechanisms that affect efficiency. This paper firstly evaluates the tourism efficiency of 11 coastal provinces regions in China from 2010 to 2020 by using the DEA-BBC model that includes undesirable outputs. After that, it investigates the internal driving mechanism of the efficiency change through the Malmquist index and its decomposition. Finally, it analyzes the external influencing elements of tourist efficiency by the Tobit model. The results show that: (1) Although the average value of the tourism efficiency was changed from 0.727 to 0.707, it does not achieve the target. Its trend shows fluctuating from 2010–2020, which indicates that the tourism efficiency of most provincial regions is not optimal. The main factor that restricts tourism efficiency is scale efficiency. (2) By analyzing the dynamic trend, it is found that the average increase of technical efficiency is 14.0%, the average increase of technical change is 9.5%, and the average increase of MI index is 25.4%. It indicates that the overall tourism efficiency of 11 coastal provinces region in China is on the rise. (3) The spatial difference of tourism efficiency is significant, but there is no obvious spatial correlation. (4) The influencing factors of tourism efficiency are consumer demand, industrial structure, labor force and urbanization. [ABSTRACT FROM AUTHOR]

This study uses detailed population statistics and analyzes labor participation rates in China from the perspectives of education and retirement. It presents different hypothetical scenarios and predicts future labor participation rates using queue factors. The results indicate that under the baseline scenario, the overall labor participation rate (51.43%) is projected to significantly decrease by 2060 compared to 2020 (73.76%). The lock-in effect of education leads to a declining participation rate for the 15–24 age group, which persists until approximately the age of 50. Generally, women have higher labor participation rates than men prior to retirement. In the education-centered hypothetical scenario, the quantity impact of educational expansion is evident. Although the relative impact of additional education diminishes toward the end of working life (60–74) compared to the entire working life (15–74). The improvement in the labor market due to educational reform is sustainable across all scenarios. In the retirement-centered hypothetical scenario, reducing retirement rates across age groups increases labor force participation, but this improvement mainly focuses on those under the age of 70 and is not sustained. Thus, delaying retirement policies is only effective in the short term. [ABSTRACT FROM AUTHOR]

The labor force constitutes a paramount factor of production in the realm of business operations. In the past, China’s abundant labor force significantly boosted productivity for firms. However, as the demographic dividend gradually wanes, concerns have arisen regarding a scarcity of labor force, exacerbating worries about rising labor costs. Therefore, focusing on enhancing firms’ labor investment efficiency becomes pivotal. Using a sample of A-stock listed firms in China from 2013 to 2020, we examine the impact of customer concentration on the labor investment efficiency of supplier firms. Prior literature provides mixed results regarding the effect of concentrated customers. They can act as a governance mechanism for reducing agency problems, thus, increasing investment efficiency. Conversely, agency problems are aggravated in suppliers with concentrated customers, consequently, reducing investment efficiency. Our results suggest that customer concentration reduces labor investment efficiency, and this effect is more pronounced when customers possess high bargaining power. Additionally, the mechanism analysis reveal that customer concentration leads to less accurate information disclosure, higher operating risk, and an incentive to “empire building”, reducing labor investment efficiency. The cross-sectional analysis reveals that customer concentration results in both over- and under-investment in labor, thereby reducing investment efficiency. In addition, we employ augmented models to rule out the possibility of a U-shaped relationship between customer concentration and labor investment efficiency. Furthermore, we adopt the instrumental variables approach as well as a two-stage regression model to address potential endogeneity concerns and mitigate the omitted variable concern. Our results hold after the robustness tests and endogeneity tests. The findings of this paper imply that firms should strategically diversify their customer bases, thereby reducing their reliance on a few large customers. Simultaneously, governments should actively encourage firms to broaden their customer base. It can help enhance labor investment efficiency by spreading the risks associated with customer concentration. Moreover, it is crucial to acknowledge that substantial customer bargaining power can negatively impact supplier firms. Thus, policymakers should promote antitrust regulations and fair trade practices to mitigate the high bargaining power of large customers. [ABSTRACT FROM AUTHOR]

Background: Feminization of health workforce has been globally documented, but it has not been investigated in China. This study aims to analyze changes in the gendered composition of health workforce and explore the trend in different types of health workforce, health organizations and majors within China's health system. Methods: The data were collected from China Health Statistical Yearbook from 2002 to 2020. We focused on health professionals including doctors, nurses, and pharmacists in health organizations. Trend analysis was employed to examine the change in the ratio of female health workforce over 18 years. The estimated average annual percent change (AAPC) was estimated, and the reciprocals of variances for the female ratios were used as weights. Results: In China, health professionals increased from 4.7 million in 2002 to 10.68 million in 2020. Health professionals per 1000 population increased from 3.41 in 2002 to 7.57 in 2020. The ratio of female health professionals significantly increased from 63.85% in 2002 to 72.4% in 2020 (AAPC = 1.04%, 95% CI 0.96–1.11%, P < 0.001). Female doctors and pharmacists increased 4.7 and 7.9 percentage points from 2002 to 2020. Female health workers at township health centers, village clinics, centers for disease control and prevention had higher annual increase rate (AAPC = 1.67%, 2.25% and 1.33%, respectively) than those at hospital (0.70%) and community health center (0.5%). Female doctors in traditional Chinese medicine, dentistry and public health had higher annual increase rate (AAPC = 1.82%, 1.53% and 1.91%, respectively) than female clinical doctor (0.64%). Conclusions: More women are participating in the healthcare sector in China. However, socially lower-ranked positions have been feminizing faster, which could be due to the inherent and structural gender norms restricting women's career. More collective and comprehensive system-level actions will be needed to foster a gender-equitable environment for health workforce at all levels. [ABSTRACT FROM AUTHOR]

Accurately tracking the changes in rice cropping intensity is a critical requirement for policymakers to formulate reasonable land-use policies. Southern China is a traditional region for rice multi-cropping, yet less is known about its spatial–temporal changes under the background of rapid urbanization in recent decades. Based on images from Landsat and MODIS and multiple land cover products, the gap-filling and Savitzky–Golay filter method (GF-SG), the enhanced pixel-based phenological features composite approach (Eppf-CM), random forest (RF), and the difference in NDVI approach (DNDVI) were combined to map the rice cropping pattern with a spatial resolution of 30 × 30 m over Southern China in 2000 and 2020 through Google Earth Engine (GEE). Subsequently, the spatial–temporal changes in rice cropping intensity and their driving factors were examined by Getis-Ord Gi* and geographical detector. The results showed that the produced rice cropping pattern maps exhibited high accuracy, with kappa coefficients and overall accuracies exceeding 0.81 and 90%, respectively. Over the past two decades, the planting areas of double-season rice in Southern China decreased by 54.49%, and a reduction was observed across eight provinces, while only half of the provinces exhibited an increase in the planting areas of single-season rice. Compared to the year 2000, the planting area of the conversion from double- to single-season rice cropping systems in 2020 was 2.71 times larger than that of the conversion from single- to double-season rice cropping systems. The hotspots of the change in rice cropping intensity were mainly located in the central part of Southern China (excluding the Poyang Lake Plain). The decline in the rural labor force, coupled with ≥10 °C accumulated temperature and topographical factors, plays a crucial role in the decreased intensity of rice cropping. Our findings can be beneficial for realizing regional agricultural sustainability and food security. [ABSTRACT FROM AUTHOR]

Background: Team-based care is an essential part of primary health care (PHC), and its team service delivery process is a systematic one involving multiple and complex influences. Research on the formation mechanism can help improve the effectiveness of primary health care teams (PHCTs). Methods: First, based on the Donabedian model, we explored the theoretical framework of a PHC team's effectiveness formation mechanism. Semi-structured interviews were conducted with 23primary health care team members in Hangzhou, Zhejiang Province, China. A total of seven factors were then included as conditional variables using the crisp set qualitative comparative analysis (csQCA) to explore the complex influences between them and the outcome variable through univariate necessity analysis and path configuration analysis. Results: Univariate necessity analysis showed that only "Clear Goals" in the structural dimension were necessary for team effectiveness perception. Six pathways to good primary health care team perception of effectiveness were identified. Two of these paths were more typical. Conclusion: "Clear Goals" was the core variable that should be emphasized when exploring the mechanism of PHCT formation. The results suggest that human resources in the management team should be rationally allocated, goal-oriented, and given good attention. Future studies should explore complex combinations of PHCT factors to improve the effectiveness of PHCTs. [ABSTRACT FROM AUTHOR]

As Chinese women become more educated and participate in the labor force, they earn more money independently. At the same time, thanks to China's one-child policy, women have gained more intergenerational wealth. The economic foundation allowed Chinese women to play bigger power in the consumer market, and a phenomenon called "Her Economy" since 2007. The improvement of discourse power and economic empowerment of Chinese women in the consumer market rendered them better achieve self-empowerment. However, female behavior is also shaped by society, and female consumption is more likely to be influenced by consumer culture and become the background board of consumer society, and women find it difficult to achieve real empowerment through consumption. Although the existing literature has explored this issue, the research field has not been extended to Chinese female consumers, and the theoretical perspective of empowerment is lacking. Thus, this paper reviews women's consumption and empowerment in China from a critical perspective. [ABSTRACT FROM AUTHOR]

There is a growing literature documenting the link between parental migration and children's health. However, few studies have explained the underlying mechanism of this observed relationship. This paper examines the effect of parental migration on children's health through dietary diversity, using survey data collected in a less developed prefecture in South Central China in 2018. To overcome the potential endogeneity of parental migration, we instrument parental migration with the proportion of households with migrated labor force at the village level, and find that parental migration reduces children's dietary diversity at home. Moreover, we provide suggestive evidence that the reduction in dietary diversity may attribute to significant negative separation effects whereas minimal positive income effects in migrant-sending households. This study highlights the negative effects of labor migration on the next generation's nutrition. In those developing countries with a high prevalence of labor migration, policies that facilitate access to dietary diversity of those left-behind children are warranted. [ABSTRACT FROM AUTHOR]

The rapid development of China's digital economy has promoted industrial structure upgrading and further affected the quality structure of the labor force across industries. This study conducts a theoretical derivation by building a task-based theoretical model and uses panel data of 30 Chinese provinces from 2001 to 2020 to conduct empirical research on the relationship between industrial digitalization, industrial structure upgrading, and structural changes in labor quality. The study results show that industrial digitalization and industrial structure upgrade affect changes in the quality structure of China's industrial labor. The industrial structure upgrading index plays a mediating role in influencing industrial digitalization on the educational structure of labor employment. When industrial structure upgrading is considered as the threshold variable, the impact of industrial digitalization on the employment and educational structure of different labor forces in China's industries has diverse threshold characteristics. In the process of digital industrial development, China needs to focus on protecting labor with secondary education at different stages of digital development and accelerate the development of a skilled labor force to drive the high-quality development of China's industrial economy. [ABSTRACT FROM AUTHOR]

Problem definition: With the rapid growth of the gig economy, on-demand staffing platforms have emerged to help companies manage their temporary workforce. This emerging business-to-business context motivates us to study a new form of supply chain coordination problem. We consider a staffing platform managing an on-demand workforce to serve multiple firms facing stochastic labor demand. Before demand realization, each individual firm can hire permanent employees, whereas the platform determines a compensation rate for potential on-demand workers. After knowing the realized demand, firms in need can request on-demand workers from the platform, and then, the platform operator allocates the available on-demand workforce among the firms. We explore how to maximize and distribute the benefits of an on-demand workforce through coordinating self-interested parties in the staffing system. Methodology/results: We combine game theory and online optimization techniques to address the challenges in incentivizing and coordinating the online workforce. We propose a novel and easily implementable fill rate-based allocation and coordination mechanism that enables the on-demand workforce to be shared optimally when individual firms and the platform operator make decisions in their own interest. We also show that the proposed mechanism can be adapted to the cases when contract terms need to be identical to all firms and when actual demand is unverifiable. Managerial implications: The proposed contract mechanism is in line with the performance-based contracting commonly used in on-demand staffing services. Our results suggest that under an appropriately designed performance-based mechanism, individual firms and the platform operator can share the maximum benefits of on-demand staffing. Funding: This work was supported by the National Natural Science Foundation of China [Grant 71871097] and the Fundamental Research Funds for the Central Universities, China. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2021.0327. [ABSTRACT FROM AUTHOR]

As the "pearl at the top of the manufacturing industry," the widespread use of robots is affecting the employment decisions of individual workers. This paper contributes to our understanding of this subject by analyzing the impact of imports of industrial robots on employment location choice at the inter-provinces level in China. The analysis applies a logit approach to microdata from the China Customs Database and China Labor Dynamics Survey. The results suggest that robot import positively affects employment location choice, supporting the theory of "coexistence" between intelligent robots and the labor force. Specifically, industrial robots attract skilled workers via the creation effect and drive away routine labor via the substitution effect, but the creation effect is greater than the substitution effect. Finally, the authors discuss the channels from the perspectives of "skill-biased" and "routine-biased." [ABSTRACT FROM AUTHOR]

In the spring of 2023, the world press was filled with articles about China’s declining population. In 2022 it would decrease for the first time since the years 1958-61, when Mao’s Great Leap Forward cost the country in the order of 45 million lives. It was certainly dramatic that the Chinese population started to decline, and that India’s population was now larger than China’s – in April 2023 both countries had a population of just over 1.4 billion, in China’s case declining, in India’s, with its young population, on the way up. However, China’s demographic decline should not really have been big news, since it has been obvious for a couple of decades that this would happen, as a direct result of China’s extreme one-child policy. China is probably the country in the world facing the biggest demographic challenges, with dramatic consequences in terms of both labor supply and aging, and society in general. However, China’s demographic challenge is not unique. Until 2050, according to UN forecasts, the size of the population is expected to decrease in 61 countries. No less than two-thirds of humanity lives today in countries where the fertility rate is below 2.1 children per woman, the level that is the prerequisite for a long-term stable population. In 2000, the figure was 2.7. The world is rapidly moving towards aging societies. The patter of children’s feet is drowned out by the clatter of sticks (The Economist 2023). ”In China’s case, this development is already a fact that no party decree rules over. In Shanghai, China’s “most modern” city, a “one-child culture” prevails today. China’s women, an increasingly important part of the country’s workforce, have gone on “birth strike”. Xi Jinping’s dream of China’s rebirth looks injured, and drastic measures can be expected to reverse the fertility curve. However, no biopolitical solution is in sight, and the country is becoming increasingly demographically inbalanced. What ultimately matters in the prevailing anthropocene era is that reforms are sustainable. [ABSTRACT FROM AUTHOR]

Background: The transformation from the quantity of labor supply to the quality of labor supply is an important measure to improve the self-development of migrant workers. Method: Based on the 2018 China Floating Population Dynamic Monitoring Survey data, this paper uses the 2SLS model based on instrumental variable estimation to analyze the impact of urban and rural integrated medical insurance on the quality of migrant workers' labor supply. Results: The study found that: First, urban and rural integrated medical insurance can significantly improve the quality of labor supply for migrant workers. Even with different instrumental variables and the use of propensity score matching for counterfactual inferences, the findings remain robust. Second, the impact of urban–rural integrated medical insurance on the quality of labor supply for migrant workers has nonlinear characteristics. At the low quantile, the impact of urban–rural integrated medical insurance on the quality of labor supply for migrant workers showed a downward trend, but with the increase of the quantile, the impact of urban and rural integrated medical insurance continued to increase, showing a U-shaped trend. Conclusion: Urban–rural integrated medical insurance can not only directly reduce the labor time of migrant workers and ease the labor burden of migrant workers, but also indirectly improve the quality of labor supply for migrant workers through the intermediary role of promoting the availability of public services such as family contracted doctor services and health education. [ABSTRACT FROM AUTHOR]

Governments worldwide have announced stimulus packages to remobilize the labor force after COVID-19 and therefore to cope with the COVID-19-related recession. However, it is still unclear how to facilitate large-scale work resumption. This paper aims to clarify the issue by analyzing the large-scale prefecture-level dataset of human mobility trajectory information for 320 million workers and about 500,000 policy documents in China. We model work resumption as a collective behavioral change due to configurations of capacity, motivation, and policy instruments by using qualitative comparative analysis. We find that the effectiveness of post-COVID-19 recovery stimulus varied across China depending on the fiscal and administrative capacity and the policy motivation of the prefecture. Subnational fiscal and procurement policies were more effective for the wholesale and retail sector and the hotel and catering sector, whereas the manufacturing and business services sectors required more effort regarding employment policies. Due to limited prefectural capacity and wavering policy motivation, the simultaneous adoption of fiscal, employment, and procurement policy interventions endangered post-COVID-19 work resumption. We highlight the necessity of tailored postcrisis recovery strategies based on local fiscal and administrative capacity and the sectoral structure. [ABSTRACT FROM AUTHOR]

As a typical green production technology, straw return affects environmental pollution control and waste recycling. However, in reality, farmers are not active in returning straw to the field. This study constructed a theoretical analysis of farmers' straw-returning behavior under the conditions of labor aging, socialization service, and environmental regulation. Based on the survey data from 540 households in the Province of Sichuan, we empirically study the relationship between labor aging and farmers' straw-returning behavior by using the binary logistic regression model and explore the moderating effects of socialization service and environmental regulation on labor aging and straw-returning behavior. The results show that: (1) Aging laborers in rural households constitute a higher proportion, accounting for 29% of the rural household labor force. However, there is limited enthusiasm among farmers to adopt straw returning to the field, with only 65% of farmers adopting this technology. (2) The labor aging hinders farmers' straw-returning behavior. Specifically, under other fixed conditions, the behavior of straw returning decreases by 0.647 units when the labor aging increases by one unit. (3) Socialization services and economic incentives can mitigate the adverse effects of labor aging on straw-returning behavior, while mandatory constraints do not. (4) The heterogeneity analysis shows that labor aging has a stronger inhibitory effect on straw-returning behavior when the land scale of farmers is lower than the average level and the area is not plain. [ABSTRACT FROM AUTHOR]

Under the "two-carbon" goal, the green and low-carbon development of agriculture is a critical way to consummate agricultural modernization and high-quality economic establishment. Digital inclusive finance eases credit restrictions. It enhances the availability of funds for farmers. It promotes the integration of agricultural industries and talent gathering through digitalization, improves the standard of agricultural production and promotes the development of green and low-carbon agricultural modernization in China. This paper uses panel data for 2011–2021, which includes 31 provinces in China. Green and low-carbon development indicators of agriculture were constructed and calculated, and the comprehensive horizontal spatial differentiation map of GIS technology was used for analysis. A spatial panel model was set up at the same time, to explore the impact and mechanism test of digital financial inclusion on the green and low-carbon development of agriculture, and regional heterogeneity was analyzed. (1) Digital financial inclusion can promote the green and low-carbon development of agriculture, and its influence has a positive spatial spillover effect. (2) The education level of the labor force plays an intermediary role and is the transmission mechanism of digital financial inclusion and the green and low-carbon development of agriculture. (3) The impact of digital financial inclusion on green and low-carbon agricultural development has regional heterogeneity. [ABSTRACT FROM AUTHOR]

Based on the annual average climate data and economic and social data from 262 prefecture-level cities in China from 2001 to 2019, this paper explores the impact of climate change on urban–rural income inequality and its mechanisms using fixed-effects (FEs) and mediated-effects (MEs) models. This study finds that (1) climate change has an inverted U-shaped relationship with the urban–rural income disparity; (2) climate change can affect the urban–rural income disparity by influencing urban and rural income levels, the regional degree of urbanization, and the labor force employment structure; (3) the impact of climate change on the urban–rural income gap is heterogeneous in East, Center, and West China; and (4) extreme heat can widen the urban–rural income gap, and extreme drought can narrow the urban–rural income gap. Climate change has a significant impact on the urban–rural income gap, and there is a need to continue to promote urbanization and the optimization of the employment structure of the workforce, reduce the vulnerability of rural residents to climate change, and narrow the urban–rural income gap. [ABSTRACT FROM AUTHOR]

Population shrinkage has had a certain negative impact on urban and rural development in many aspects. The impact of population shrinkage on urban–rural integration has become one of the core scientific issues that needs to be addressed in the current research on promoting the goal of common prosperity in China. Northeast China is a typical region in China that is experiencing a decrease in population and economic activity. Investigating the integrated development of urban and rural areas in this region is highly important for revitalizing Northeast China. This research paper focuses on 32 prefecture-level cities in Northeast China and utilizes spatial correlation analysis and the Geographical Weighted Regression model to uncover the evolving spatial patterns and influential factors affecting integrated urban–rural development in the context of population decline. The findings revealed the following: (1) The level of integrated urban–rural development in Northeast China continues to rise despite the shrinking population. During the comprehensive population decline stage, the growth rate of the urban–rural coupling coordination degree surpasses that of the initial stage. The areas with high values of urban–rural coupling coordination degree shift from northeastern Heilongjiang to four sub-provincial cities. The spatial correlation between urban–rural coupling and coordinated development weakens, with the main type being low–low agglomeration. (2) Factors such as economic development level, labor force size, urbanization level, level of openness, urban–rural accessibility, and proportion of built-up areas significantly correlate with urban–rural coupling and coordination. The influence of each factor varies in magnitude and direction across different locations. Labor force size and urban–rural accessibility have the most-significant impact on integrated urban–rural development, with labor force size having a positive effect and urban–rural accessibility having a negative effect. The impact of the economic development level follows a pattern of initial increase and subsequent decrease as the population shrinks. (3) Although population decline does not hinder integrated urban–rural development in Northeast China, it is closely connected to changes in the factors influencing such development. To capitalize on the development opportunities presented by national policies, Northeast China should adopt a model of urban–rural development that promotes rural growth through cities. This entails attracting talented individuals to return, enhancing the flow of urban–rural development elements in both directions, and creating a spatial development pattern characterized by "big city, big agriculture, and big ecosystem". By doing so, the revitalization of Northeast China can be achieved. [ABSTRACT FROM AUTHOR]

• After a stronger-than-expected start to 2023, helped by lower energy prices and the reopening of China, global growth is expected to moderate. The impact of tighter monetary policy is becoming increasingly visible, business and consumer confidence have turned down, and the rebound in China has faded. • Global GDP growth is projected to remain sub-par in 2023 and 2024, at 3% and 2.7% respectively, held back by the macroeconomic policy tightening needed to rein in inflation. • Annual GDP growth in the United States is expected to slow from 2.2% this year to 1.3% in 2024, as tighter financial conditions moderate demand pressures. In the euro area, where demand is already subdued, GDP growth is projected to ease to 0.6% in 2023, and edge up to 1.1% in 2024 as the adverse impact of high inflation on real incomes fades. Growth in China is expected to be held back by subdued domestic demand and structural stresses in property markets, easing to 5.1% in 2023 and 4.6% in 2024. • Headline inflation is declining, but core inflation remains persistent in many economies, held up by cost pressures and high margins in some sectors. • Inflation is projected to moderate gradually over 2023 and 2024, but to remain above central bank objectives in most economies. Headline inflation in the G20 economies is projected to ease to 6% in 2023 and 4.8% in 2024, with core inflation in the G20 advanced economies declining from 4.3% this year to 2.8% in 2024. • Risks remain tilted to the downside. Uncertainty about the strength and speed of monetary policy transmission and the persistence of inflation are key concerns. The adverse effects of higher interest rates could prove stronger than expected, and greater inflation persistence would require additional policy tightening that might expose financial vulnerabilities. • A sharper-than-expected slowdown in China is an additional key risk that would hit output growth around the world. • Monetary policy needs to remain restrictive until there are clear signs that underlying inflation pressures have durably abated. Policy interest rates appear to be at or close to a peak in most economies, including the United States and the euro area, with policy judgements more finely balanced as the effects of higher interest rates become visible. • Governments are faced with mounting fiscal pressures from rising debt burdens and additional spending on ageing populations, the climate transition and defence. Enhanced near-term efforts to rebuild fiscal space and credible medium-term fiscal plans are needed to better align near-term macroeconomic policies and help ensure debt sustainability. • Structural policy efforts need to be reinvigorated to strengthen growth prospects. Reducing barriers in labour and product markets and enhancing skills development would help to boost investment, productivity and labour force participation, and make growth more inclusive. • A key priority is to revive global trade, which is an important source of long-term prosperity for both advanced and emerging-market economies. Concerns about economic security should not prevent advantage being taken of opportunities to lower trade barriers, especially in service sectors. • Enhanced international co-operation is needed to ensure better coordination and faster progress in carbon mitigation efforts. [ABSTRACT FROM AUTHOR]

High-quality regional development should be promoted by facilitating inter-regional mobility of heterogeneous labor force to optimize its spatial allocation. This study incorporates skill relatedness into spatial categorization and selection effects, and explores how skill-relatedness affects the location choice of heterogeneous labor force. To do so, we use labor force migration data and employee data by occupation subcategory from the 2000 National Population Census and 2015 National Population Sample Survey. The empirical evidence provides three major findings. First, there are significant regional differences in labor migration rates by the occupational group between cities in China, and the trend is increasing. Regional concentration of location choice is increasing and six significant agglomerations are formed. Second, skill relatedness positively affects the location choice of the heterogeneous labor force in Chinese cities. When cities' skill-relatedness is more robust, influence on labor location choice is more remarkable. In cities with high-size classes, the effect of high-skill relatedness on labor location choice is higher. Third, labor force with solid skill relatedness with regional employment moves to the location owing to the spatial sorting effect. Labor force without skill relatedness or weak relatedness moves out or does not move to the location owing to the spatial selection effect. [ABSTRACT FROM AUTHOR]

The aging of the agricultural labor force is an irreversible trend that has become an important issue in China's economic transformation. Previous studies on the effects of an aging population in developing countries on agriculture mainly focused on food crops, and the conclusions were mixed. Using data for apple growers in Shaanxi Province, China, we used ordinary least squares (OLS), stochastic frontier production function (SFA), and truncated regression to investigate how rural aging affects apple production under different landform conditions. We provided evidence that (i) aging leads apple growers to use hired labor to replace family labor in the flatlands, but not in mountainous and hilly areas, due to landform constraints on the factor substitution; (ii) aging has no significant impact on mechanical inputs in either the plains or the mountains, indicating that machinery cannot effectively replace the labor force; (iii) limited by a shortage of labor quantity and quality, apple growers respond to aging by reducing agricultural inputs in mountainous and hilly areas; (iv) changes in input structure cause aging to have little influence on yield and technical efficiency in flatlands, while aging significantly reduces yield in mountainous and hilly areas; (v) there is a nonlinear relationship between aging and technical efficiency and yield; and (vi) because the overall mechanization level of China's apple industry is low, mechanical substitution for labor is not common in apple production. [ABSTRACT FROM AUTHOR]

This essay explores how demographic change is influencing China's economic future and what it means for businesses operating within its borders. The undergoing demographic transition in China, implies pressure on labor supply for the industry over the coming decades. China's demographic landscape is transforming at a rapid pace, and it's essential to understand the key trends and perspectives driving this change. As population aged, the workforce shrinks, pressuring the policy planers to investigate other perspectives like technology adoption which has been a major driver of economic growth in recent years and can be the answer for the future. With the rise of e-commerce platforms, such as Alibaba and Tencent, Chinese consumers increasingly rely on digital services for everything from shopping to banking. This trend could reshape new Chinese mercantile realities that are both less labor intensive in the service sector and in manufacturing, allowing the entry of robotics in the distribution of goods. [ABSTRACT FROM AUTHOR]

Climate change and land-use change are making landscape fires worse, causing them to grow in intensity and spread in range across Earth's ecosystems. Extreme landscape fires can be devastating to people, ecosystems, and sociology. However, most research on landscape fires has not considered their potential impact on the economy, particularly with regard to entrepreneurial activity. Entrepreneurial activity includes the entry of new markets and the creation of new products or services, thereby facilitating the creation and expansion of economic activity. This manuscript empirically analyzes the impact of landscape fires on entrepreneurial activity, based on satellite monitoring data of landscape fires in China from 2014 to 2018. Different wind direction models and instrumental variable methods are used for empirical analysis. The results of the analysis show, first, that an increase in landscape fires in a county can significantly reduce local entrepreneurial activity. We further adopt the wind direction approach and instrumental variable approach to deal with potential endogeneity issues, and the regression results are consistent. Second, compared to eastern or high-economic-development areas, central and western or low-economic-development areas are more susceptible to exogenous landscape fires. Third, landscape fires have a negative impact on entrepreneurial activity through increasing air pollution, damaging human health, increasing risk aversion, and reducing the labor supply. It is important for both the government and the public to fully recognize the potential dangers that landscape fires pose to corporate behavior. This awareness can help reduce the impact of natural disasters such as landscape fires, protect the ecological environment, and provide solid support for corporate investment and regional development. [ABSTRACT FROM AUTHOR]

Surge pricing has been used to coordinate supply and demand in the ride‐sharing industry, but its causal effects on driver behavior remain unclear. This motivates us to examine how surge pricing causally affects driver earnings and labor supply by leveraging a unique quasi‐experiment, in which a leading ride‐sharing company in China introduced surge pricing in two cities at different times. Using a difference‐in‐differences design with the causal forest method, we find that surge pricing led to increases in drivers' weekly revenue. Decomposing the weekly revenue into "intensive margin" and "extensive margin" factors, we discover two countervailing effects at play: a cherry‐picking effect and a competition effect, and the daily revenue decreased because the latter dominated. Consequently, the increased weekly revenue can be explained by the extensive margin: drivers worked on more days to compensate for the decreased daily revenue, a result consistent with the income targeting behavior. Finally, we examine heterogeneous treatment effects across drivers, and find that surge pricing enticed more part‐time drivers to flood the market and crowd out full‐time drivers, and that the increase in the drivers' weekly revenue was primarily driven by part‐time drivers. Therefore, the benefit of surge pricing was unevenly distributed across drivers. Highlights: While surge pricing enlarged the size of the pie by enhancing overall operational efficiency, the induced increase in the driver pool resulted in a smaller slice per driver and decreased daily revenue for all drivers.The impact of surge pricing differed significantly across driver segments: full‐time drivers became worse off and earned less due to intensified competition from part‐time drivers; part‐time drivers earned more by increasing the weekly number of working days.When designing a new policy, platforms should be mindful of participants' bounded rationality and heterogeneous responses to the policy. [ABSTRACT FROM AUTHOR]

Rapid population aging has serious implications for socio-economic development and poses considerable challenges to food security and agricultural economic resilience, issues that are not well understood to date. Against the background of the aging agricultural labor force in China, this paper, based on the sample data of 30 provinces in China from 2011 to 2020, constructs a spatial autoregressive model and uses the generalized moment method to measure the development level of agricultural economic resilience in China. Moreover, the GMM model and intermediary effect model are used to empirically analyze the impact of rural labor aging on agricultural economic resilience in China and its role channels. The results show that the aging of China's rural labor force is on the rise, and the resilience level of China's agricultural economy is on the decline. The aging of the rural labor force significantly weakened the resilience of the agricultural economy; the aging level of the rural labor force increased by 1 unit, and the resilience of the agricultural economy decreased by 1.085 units. The results of this mechanistic analysis show that the aging of the rural labor force mainly weakens the resilience of the agricultural economy by reducing rural human capital and restraining agricultural scale management and agricultural technology progress. Our heterogeneity analysis shows that the aging of the rural labor force has a stronger inhibitory effect on the resilience of the agricultural economy in western regions, non-grain-producing areas, and areas with low economic development levels. This means that the government should pay attention to the impact of the aging rural labor force on the resilience of the agricultural economy, focusing on solving problems such as low agricultural production efficiency and insufficient rural human capital. [ABSTRACT FROM AUTHOR]

As the economy evolves and markets change after Covid-19, demand and competition in the labor market increase in China, and employees become increasingly concerned about their career opportunities, pay, and organizational commitment. This category of factors is often considered a key predictor of turnover intentions and job satisfaction, and it is important that companies and management have a good understanding of the factors that contribute to job satisfaction and turnover intentions. The purpose of this study was to investigate the factors that influence employees' job satisfaction and turnover intention and to examine the moderating role of employees' job autonomy. This cross-sectional study aimed to quantitatively assess the influence of perceived career development opportunity, perceived pay for performance, and affective organisational commitment on job satisfaction and turnover intention, as well as the moderating effect of job autonomy. An online survey, which involved 532 young workforce in China, was conducted. All data were subjected to partial least squares-structural equation modelling (PLS-SEM). The obtained results demonstrated the direct influence of perceived career development, perceived pay for performance, and affective organisational commitment on turnover intention. These three constructs were also found to have indirect influence on turnover intention through job satisfaction. Meanwhile, the moderating effect of job autonomy on the hypothesised relationships was not statistically significant. This study presented significant theoretical contributions on turnover intention in relation to the unique attributes of young workforce. The obtained findings may also benefit managers in their efforts of understanding the turnover intention of the workforce and promoting empowerment practices. [ABSTRACT FROM AUTHOR]

As China's population continues ageing, and the birth rate continues decreasing, the demographic dividend that the nation once had is gradually fading. Meanwhile, information technology is rapidly developing, and new forms of employment continue emerging, facilitating the diversification of China's traditional employment forms. This study investigates how the diversified employment environment affects labour competitiveness in China from the specific perspective of gender difference. From a theoretical standpoint, we examine the mechanism of informal employment on men's and women's employment decisions and labour market competitiveness. We then construct a multi-value labour supply decision model and a nonlinear employment difference decomposition model to identify the key factors that affect individuals' employment decisions, assessing those factors in terms of gender differences. We use microdata from the China Family Panel Studies, finding that women's labour competitiveness is lower than that of men. Family factors have a significant influence on women's decisions regarding labour market participation, informal employment provides more options for women to balance occupational life and homecare, and severe gender discrimination and inequality are the primary obstacle to women's entering the informal employment sector. In analysing these impacts, we seek to provide insights regarding how to elevate women's competitiveness in the labour market, particularly in the informal employment sector. [ABSTRACT FROM AUTHOR]

Utilizing panel data from 264 prefecture-level cities in mainland China between 2009 and 2017, this study employs a multi-period difference-in-differences model and propensity score matching to assess the effects of county-to-district transformation (CDT) on the scale, proportion, and price of the urban residential land supply. The findings reveal the following details: (1) CDT led to a short-term increase in the overall proportion and price of this land, whereas its influence on the scale of the supply exhibited a time lag; (2) the policy's impact on residential land supply varied across different types of cities, with a more pronounced effect on the scale, proportion, and price in large cities; and (3) the current implementation of CDT primarily modified the urban land's supply–demand relationship through the expansion of built-up space, conversion of spatial function, and agglomeration of population and the labor force, consequently affecting the supply of the aforementioned land. Finally, this paper puts forward relevant policy suggestions on how to adjust land supply and effectively regulate the land market during the process of promoting the withdrawal of counties in the future. [ABSTRACT FROM AUTHOR]

Food security is a national priority and a cornerstone for maintaining national and regional stability. Focusing on cropping structure directly related to food security, this paper estimates the causal effect of urbanization on cropping restructuring in China. We use provincial panel data between 2000 and 2019 and threshold regression models to identify potential structural mutation characteristics. This study is an attempt to fill the cognitive gap for the nonlinear relationship between urbanization and cropping restructure. Urbanization formed agricultural labor supply constraints that significantly increased the share of sown area of grain crops, but with obvious threshold characteristics, and the effect of urbanization on cropping structure was no longer significant after crossing the threshold. Urbanization in the main grain-producing regions and main grain-selling regions promoted the adjustment of cropping structure in the direction of grain but was not significant in balanced production and marketing regions. Short-distance urbanization did not bring significant effects on cropping restructuring. We propose several suggestions for cultivated land planting structure, urbanization, and food security. [ABSTRACT FROM AUTHOR]

Micro-credit for poverty alleviation is an important financial measure of targeted poverty reduction and rural revitalization in China. This paper employs the OLS model and Logit model to empirically test the effect of micro-credit for poverty alleviation on the income level and stability of income growth of farmers based on the field survey data of 458 registered poverty-stricken farmer households in Fuping County and Quyang County of Hebei Province. The results suggest that micro-credit for poverty alleviation can increase farmers' income, stabilize the growth of their income, and exert significant short-term and long-term effects on income growth and poverty alleviation. The specialized farmer cooperatives, the scale of production and operation, the proportion of family labor force, and the education level of the head of the farmer's household exert a significantly positive effect on the farmers' income and the stable growth of their income. There is a significant interaction between micro-credit for poverty alleviation and specialized farmer cooperatives. The physical conditions of family members exert a negative effect on the stable growth of their income, and other financing channels have no significant effect. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of local investments in education on the economic growth of different regions in China. It examines both the direct and indirect effects of financial investments in education. It analyzes the role of human capital and intellectual capital as mediators in the relationship between education and economic growth. The study utilizes a panel data model and a model of mediating effects to conduct an empirical analysis using data from China between 2000 and 2018. The findings indicate that local financial investment in education significantly impacts economic growth, although the magnitude of this effect varies across regions. Investing in education directly stimulates economic growth and indirectly promotes it by accumulating human and intellectual capital. Therefore, increasing investment in education and nurturing innovative, high-level talent are crucial steps towards achieving high-quality economic development in China. The literature review reveals that investment in education has been extensively studied concerning economic growth, with scholars emphasizing the role of human capital in the production process and the positive effects of education on worker productivity and income equality. However, educational investment's impact on economic growth has shown variations in different countries and regions. Some studies suggest that excessive development of higher education may hinder local economic development, while others highlight the positive impact of educational inputs on human capital quality and technological innovation. To examine the causal mechanism explicitly, this paper proposes a causal inference model based on mediating effects, considering both human capital and intellectual capital as mediating variables. The research methodology includes a baseline regression model and a model of mediating products, employing panel data techniques and instrumental variable estimation to address endogeneity issues. The results of the baseline regression analysis support the positive relationship between local financial investment in education and economic growth, controlling for other factors such as capital stock, labour force, urbanization rate, trade dependence, and population growth. Furthermore, the mediating effects model suggests that education investment indirectly influences economic growth by enhancing human capital and promoting technological innovation. These findings contribute to a better understanding of how education affects regional economies in China. In conclusion, this study highlights the significance of education in driving high-quality economic development in China. It emphasizes the importance of increasing investment in education and fostering the development of innovative and highly skilled individuals. The findings provide valuable insights for policymakers and stakeholders seeking to promote sustainable and inclusive economic growth through education reform and targeted investments in human capital. [ABSTRACT FROM AUTHOR]

High-speed rail has an important impact on the location choices of enterprises and the labor force, which is reflected in a complex space–time process. Previous studies have been unable to show the change characteristics between enterprises and the labor force at the county level. Therefore, based on the new economic geography theory, we first constructed a theoretical analysis framework to explore high-speed railway's impact on county economy development and then obtained the two economic subdivision factors' impacts: industrial enterprises and secondary labor force. Then, based on the panel data of 1791 county units in China from 2003 to 2019, the study constructed a multi-period PSM-DID model to empirically explore high-speed rail's impact on the county's agglomeration of industrial enterprises and secondary labor force. The results show that high-speed rail has a long-term negative effect on the county area's agglomeration of industrial enterprises. From the perspective of the labor force, high-speed rail has a long-term and continuous positive effect on the agglomeration of the secondary labor force in county units. [ABSTRACT FROM AUTHOR]

A study linking the two economic and social phenomena of rural labor force migration and energy transition can help analyze the underlying causes of rural "Energy Poverty". However, how off-farm employment affects household low-carbon energy consumption and its potential mechanisms requires further research. Using 1351 sampled rural households from the "Rural Energy, Population Transfer and Well-being" survey in 2018 and 2021 to explore response mechanisms through which off-farm employment can influence low-carbon energy intensity. Utilizing the multivariate regression, Sobel test, and moderating effect test, the results demonstrate that off-farm employment, including short-term and long-term off-farm employment, significantly increases the intensity of low-carbon energy use among rural households. Specifically, long-term off-farm employment tends to have a greater positive contribution to the low-carbon energy intensity than short-term off-farm employment. Furthermore, off-farm employment can affect household low-carbon energy intensity through the total income, and effect of the surrounding people in the off-farm employment process also increases their consumption intensity. The research reveals that the rural energy revolution under the constraints of "Carbon Neutral" and "Carbon Peak" should relate to the off-farm development of rural households to achieve "Precise Energy Poverty Alleviation". [ABSTRACT FROM AUTHOR]

Exploring the spatial differentiation and driving mechanism of labor flow can effectively promote the flow of urban and rural factors and provide a basis for rural revitalization. This paper used the theory of push and pull for reference to explain the role of push and pull in the process of labor migration. On this basis, the paper analyzed the social space characteristics of labor in Longxi County and explored the impact mechanism of local quality on labor migration. It was found that the characteristics of labor migration in Longxi County had a distance attenuation effect and gravitational effect, and the spatial agglomeration of labor attributes was obvious. This was closely related to local quality differences. The labor migration was conducted under the comprehensive effect of the local quality of the source and destination. The local quality of the source was the basic power of the labor migration. The difference in the local quality between destinations was the main reason for the spatial difference in the number and attributes of the labor force. Specifically, the degree of interconnection and cooperation affected the labor migration distance, and the relatively poor employment income-generating capacity and regional livability in the western underdeveloped regions affected the labor quantity. The young and middle-aged labor force was greatly affected by the regional environment. [ABSTRACT FROM AUTHOR]

Vocational education is an important way to accumulate human capital. Human capital is the core element of economic growth and has huge positive externalities. Building a scientific and effective human capital development system is an important driving force to improve workers' living standards and promote innovative development. Based on statistical techniques such as Lasso dimensionality reduction, stepwise regression, and partial least squares, as well as on the 2012–2016 China Labor Force Dynamics Survey (CLDS), this paper studies the impact of human capital on workers' wage income and capital income, and establishes an income-determining equation that can be used for interpretation and forecasting. The empirical results show that education, professional skills, health, and communication ability are important components of human capital and are significantly positively correlated with income. China should build a good and effective human capital development system to increase workers' income and narrow the income gap among residents. [ABSTRACT FROM AUTHOR]

The development of the digital economy has alternative and complementary effects on employment in the agricultural labor force. While replacing a large part of the agricultural labor force, digital agricultural technology is also expected to create new jobs and multiply the economic development effect. Finally, it will have a large number of positive spillover effects on rural development. To better understand the effects and relationships of digital agriculture on agricultural labor employment in this process, we gathered microdata from 1098 agricultural laborers in 122 counties (cities and districts) of 16 cities in Shandong Province, China. Compared with previous research, the advantage of our study is that structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) are jointly applied to assess the effects of digital agriculture on agricultural labor force employment and the combinatorial path of inter-effect relationships. The analysis results demonstrate that the effects of digital agriculture on agricultural labor force employment mainly include substitution, complementary, flywheel, agglomeration, structural, synergistic, and spillover effects. Through substitution and complementing effects in a chain reaction, which have effects through intermediate links, the first six effects can lead to spillover effects. We determine two modes with a total of eight configurations that can trigger the spillover effect of digital agriculture on agricultural labor force employment. Therefore, it is necessary to choose an effective combination of paths to improve the utilization rate of agricultural resources and promote the diffusion of improved agricultural technologies. If the positive effects of digital agriculture on agricultural labor force employment are reasonably exerted, the development of sustainable agriculture could be accelerated. This would promote the overall development of the agricultural labor force and lead to the revitalization of rural areas and the integration of urban and rural areas. [ABSTRACT FROM AUTHOR]

Apples, as a typical agricultural product with high added value, play a significant role in increasing farmers' income and promoting regional economic growth. They have become one of the main ways for farmers to develop agricultural and sideline products in China's Loess Plateau and Bohai Rim region. Based on panel data for provinces from 2007 to 2020, this study used stochastic frontier analysis to calculate the technical efficiency of apple production in China's major apple-producing areas and then introduced urbanization rate as the threshold variable. Based on the quantity, quality, and structure of the rural labor force, the threshold model was used to empirically analyze the effect of labor transfer at different stages of urbanization on industrial technical efficiency in the main apple-producing areas. The results showed that labor transfer had an obvious negative effect on apple production. The labor transfer at the national level has had an obvious negative impact on the output of the apple industry, and the impact of labor transfer on the technical efficiency of China's apple industry is significantly different; that is, the impact of labor outflow on the technical efficiency of apple production is different in different regions. In some areas, the technical efficiency of production in the main apple-producing areas can be significantly improved. Finally, the proportion of the labor force showed significant differences in its effect on technical efficiency in different stages of urbanization. [ABSTRACT FROM AUTHOR]

Based on the survey data of 540 peasants in Sichuan Province, the probit and unordered multi-classification logistic model regression models were used to explore peasants' differentiation on the transformation of willingness and behavior of land transfer and to provide a theoretical and empirical basis for promoting land intensification and large-scale management. The results show the following: (1) There is a significant negative correlation between the intention and behavior of part-time peasants, multiple occupations peasants, and non-agricultural peasants. (2) Part-time peasants and non-agricultural peasants promoted the change in willingness and behavior of land transfer out; part-time peasants, multiple occupations peasants, and non-agricultural peasants all promoted the willingness and behavior transformation of land transfer in. (3) The heterogeneity analysis results show that different household heads ages, the proportion of labor force in the total population of the household, and the terrain of cultivated land significantly impact peasants' willingness and behavior of land transfer. Peasants' non-agricultural differentiation is an important way to promote the rapid development of land transfer. The government should strengthen skills training and guidance services, broaden the channels for peasants to increase income, optimize the market environment of land transfer, and improve the social security system related to land transfer in order to promote the industrialization and large-scale development of agriculture. [ABSTRACT FROM AUTHOR]

Aging is an important trend in the global demographic, with rural population aging becoming a significant challenge due to its faster pace and profound implications. Although the most significant impact of the aging agricultural labor force occurs in agricultural production and land use, little is known about their relationship. Based on the 2010–2018 data from the Chinese Family Panel Studies, this study uses the panel probit model to analyze the impact of the aging agricultural labor force on land transfer and tests its influence mechanism from the aspects of health effect and pension insurance effect. The results show the following: (1) there is an inverted U-shaped relationship between the aging of the agricultural labor force and land rent-in—with the deepening of the aging of the agricultural labor force, the aging of the agricultural labor force shifts from promoting land rent-in to inhibiting it; (2) there is a U-shaped relationship between the aging of the agricultural labor force and land rent-out—with the deepening of the aging of the agricultural labor force, the aging of the agricultural labor force shifts from inhibiting land rent-out to promoting it; and (3) the impact of the aging agricultural labor force on land rent-in and rent-out is significantly affected by farmers' health levels, however pension insurance does not play a significant moderating role. Therefore, the government should strengthen the land transfer market and improve the level of pension insurance for the elderly rural agricultural labor force. [ABSTRACT FROM AUTHOR]

This paper summarizes the spatial–temporal characteristics of China's rural energy carbon emission efficiency and then uses the Tobit model to explore its influencing factors. The results show that the rural energy carbon emission efficiency had experienced a growing trend in China during 2005 and 2020, with an annual growth rate of 4.82%. The growth is more affected by technological changes than by improvements in technical efficiency. Although all 30 provinces were in a state of improvement in rural energy carbon productivity during the period under review, there were significant differences between them. Technological change played a significant important role in promoting rural energy carbon productivity in the majority of Chinese provinces, while technical efficiency not only played a slightly less important role but also deteriorated in many provinces. Rural energy carbon emission efficiency is positively influenced by the level of agricultural development, the structure of rural labor force, and the urbanization level. However, it is negatively affected by the structure of cultivated land use, the rural human capital and rural residents' consumption level. As such, policy formulation should support and promote the overall improvement of rural energy carbon emission efficiency. [ABSTRACT FROM AUTHOR]