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Some ancient Chinese paper artifacts dyed with amur cork tree bark extracts are currently preserved to different extents in museums and libraries worldwide. As traditional natural plant dyes, the long-term performance of the amur cork tree bark extract-dyed handmade paper has been questioned under a preserved environment. The photodegradation process of the extract-dyed papers was examined under accelerating artificial UVA irradiation conditions according to China national standard-paper and board- accelerated aging (exposure to light). Changes during aging were analyzed by optical observation and scanning electron microscopy (SEM), X-ray diffraction (XRD), thermogravimetric analysis (TGA), Fourier transform infrared spectrometry (FTIR), pH, and tensile strength and folding endurance tests. The results showed that the main components from extracted dyes played an important role in affecting the photodegradation properties of dyed paper. The changes in surface color, pH, morphology and mechanical properties after the artificial UVA accelerated degradation tests revealed that a suitable concentration of the extract dyes for maintaining the long-term irradiation stability of the paper is important. [ABSTRACT FROM AUTHOR]

As the carrier of enterprise water resources management disclosure, water information disclosure is a means of expression of enterprises' environmental responsibility. First, a corporate water information disclosure quality evaluation index system and evaluation method are established, and with the help of the projection tracing method of accelerated genetic algorithm, 27 paper companies in China are selected as a sample and the disclosure quality level is analyzed empirically. Then, the analysis is carried out in terms of three changes in vertical trends, horizontal trends and changes in laws, regulations and policies, and the results show that Chinese paper and paper product enterprises have low quality of water information disclosure, weak disclosure content and low voluntary disclosure. Finally, feasible suggestions are made based on the evaluation of disclosure issues. [ABSTRACT FROM AUTHOR]

Computer-based testing (CBT), which refers to delivering assessments with computers, has been widely used in large English proficiency tests worldwide. Despite an increasing CBT in China, limited research is available concerning whether CBT can be used for the Test for English Majors-Band 4 (TEM 4). The current study investigated whether testing mode impacted TEM 4 score and factors (i.e., computer familiarity level and attitude towards CBT) that might correlate with performance on CBT of TEM 4. Overall 92 Chinese undergraduate students were randomly assigned to one of the groups, i.e., CBT or paper-based testing (PBT), and took the test. A mixed method was employed, including (1) quantitative and qualitative analysis of test performance in two modes, as well as CBT group participants' computer familiarity and attitudes towards the mode; and (2) thematic analysis of semi-structured interviews. The results revealed that (1) test scores in CBT and PBT were comparable; (2) two items in the computer familiarity questionnaire, i.e., comfort level of reading articles on the computer and forgetting time when using computers, positively correlated with CBT scores; and (3) participants' attitude towards CBT did not impact test performance. [ABSTRACT FROM AUTHOR]

The continuous expansion of the construction scale of smart city has reconstructed the urban information pattern. How to maintain the stability of information security while giving full play to the role of information sharing is a practical problem that must be solved for the sustainable development of smart city. Based on the information ecology theory, this paper construct the smart city information security risk evaluation system from six aspects. Then, zGT2FSs is established based on type-2 fuzzy set theory and IAA method, which fully considers the internal and external uncertainty of expert decision-making. According to the calculation results, the key influencing factors of information security risk of smart city are analyzed to provide suggestions and guidance for the formulation of information security control in the process of smart city construction in China. [ABSTRACT FROM AUTHOR]

Compared with financial information, whether corporate social responsibility disclosure has impacts on debt financing cost has obviously become a heated topic in the academic. This paper selects A-share listed companies in Shanghai and Shenzhen stock markets of China from 2013 to 2017 as sample to study the impact of corporate social responsibility disclosure on debt financing cost, including bond financing cost and bank loan cost. In addition, this paper divides the sample into voluntary corporate social responsibility disclosure group and mandatory corporate social responsibility disclosure group and studies whether the effects of voluntary corporate social responsibility disclosure and mandatory corporate social responsibility disclosure on bond financing cost and bank loan cost are different. The empirical results are presented as follows: Firstly, enterprise disclosing high-quality corporate social responsibility report is more conducive to reducing the debt financing cost. Specifically, corporate social responsibility disclosure significantly lowers both the bond financing cost and bank loan cost. Moreover, the reduction impact of corporate social responsibility disclosure on bond financing cost is greater than that of bank loan cost. Secondly, enterprises voluntarily disclosing corporate social responsibility reports are more conducive to reducing the debt financing cost than that of enterprises mandatorily disclosing corporate social responsibility reports. Thirdly, non-state-owned enterprises are more conducive to reducing debt financing cost than that of state-owned enterprise. The enterprises with more market competition are more conducive to reducing the debt financing cost than the oligopolistic enterprises. Finally, this paper concludes and gives policy implications. This paper amplifies the literature regarding the economic consequences of corporate social responsibility disclosure and improves the understanding of the impact of corporate social responsibility disclosure on debt financing cost. [ABSTRACT FROM AUTHOR]

Energy shortage and excessive carbon emissions have become the main constraints to the sustainable development of China's logistics industry. Improving the efficiency of the logistics industry is crucial to promoting regional ecological environment protection and sustainable development of the logistics industry. In this paper, the efficiency of China's logistics industry in 2013–2019 is evaluated by using the non-oriented EBM model considering the unexpected output, and then the influencing factors of the efficiency of the logistics industry in the central region are analyzed by using the panel Tobit model. The results show that the logistics industry in the central region is at a low efficiency level. Factors, such as the level of economic development, industrial structure and technical level have a significant positive impact on the efficiency of the logistics industry in the central region, while factors such as government support and logistics infrastructure have a significant negative impact on the efficiency of the logistics industry in the central region. Finally, the paper puts forward some targeted recommendations for the sustainable development of the logistics industry in the central region. [ABSTRACT FROM AUTHOR]

In order to clarify the suction characteristics of unsaturated clay under different conditions of water and salt, taking soil in western Jilin province, China as the research object, the suctions (matrix suction and osmotic suction) of samples with different water content, salt type, and salt content were determined by filter paper method. The results indicate that salt type and content have insignificant influence on the matrix suction. With the increase of water content, the matrix suction decreases at different rates in different suction regimes. When water content is constant, the osmotic suction increases with the increase of salt content, and under the condition of a constant salt content, the osmotic suction first increases and then decreases with the increase of ion concentration of the pore water, and can reach tens of MPa. The concept of suction equilibrium water content is proposed. When water content of sample is higher than this value, the magnitude of osmotic suction will always be greater than that of matrix suction. This indicates the necessity to consider osmotic suction in the presence or change of salt in soil. The applicability of the traditional models of matrix suction and osmotic suction in the full suction range of clay is discussed, and it is found that the traditional models cannot make a full explanation to the variation in suction. Based on the experimental data, an improved van Genuchten matrix suction model and an osmotic suction model, transformed by the Planck blackbody radiation formula, are proposed. [ABSTRACT FROM AUTHOR]

Cloud model similarity algorithm is an important part of cloud modelling theory. Most of the existing cloud model similarity algorithms suffer from poor discriminability, poor classification, unstable results, and low time efficiency. In this paper, a new similarity algorithm is proposed that considers the triangular cloud model distance and shape. First, according to the D T distance formula, a new exponential closeness measure is defined, with which the distance similarity of cloud models is characterized. Then, the shape similarity is calculated according to the variance of the cloud model cloud drops. Finally, the two similarities are synthesized to define a similarity algorithm for determining the distance from the D T distance formula and shape based on the triangular cloud model (DDTSTCM). In this paper, discriminability, stability, efficiency and theoretical interpretability are taken as the evaluation indices. Equipment security system capability evaluation experiment, cloud model differentiation simulation experiment and time series classification accuracy experiment are set up to verify the effectiveness of the algorithm in terms of the four above aspects. The experimental results show that DDTSTCM has good differentiation and excellent classification effects. In the classification experiment for the time series, the average classification accuracy of DDTSTCM reaches 91.78%, which is at least 2.78% higher than those of the other seven commonly used algorithms. The CPU running efficiency of DDTSTCM is also extremely high, and the average CPU running time of group training is always on the order of milliseconds, which effectively reduces the time cost. Finally, a case study is conducted to analyse a risk assessment problem for China's island microgrid industry, and the evaluation results based on DDTSTCM are in line with human cognition and have good value for engineering applications. [ABSTRACT FROM AUTHOR]

In order to evaluate the beneficiation plant environment in a more scientific and reasonable way, this paper took the workshop environment of the beneficiation plant as the research object. This paper divided the beneficiation plant into 7 evaluation units according to its functions. The evaluation indices are dust, noise, light environment, microclimate, benzene, toluene and xylene. This paper combines the G1 method and the entropy weight method to evaluate the weight of each evaluation index, the element extension model of the concentrator working environment is established by the element analysis method, and the matter element analysis method is used to establish an evaluation index system of a beneficiation plant in East China. The results show that the evaluation level of the breaking workshop and the auxiliary facilities are unqualified, the auxiliary facility is qualified, the culling workshop, culled yard and accessory building are medium, the screening workshop and grinding workshop are good. [ABSTRACT FROM AUTHOR]

In China, there exists a huge debate for a long time on whether a double dividend, reducing pollution emissions and boosting employment, can be achieved by intensifying environmental regulations. In this paper, we use two data sets on provincial environmental legislation and Chinese manufacturing firms during 1998–2013, to estimate the impact of provincial environmental legislation on the firms' employment growth with a difference-in-difference (DID) model. Results showed that (1) after the implementation of environmental legislation, the employment growth of regulated manufacturing firms decreases significantly by 3.07%, and this result is robust to alternative tests. (2) Local environmental legislation reduces employment growth mainly via the influencing mechanism of the firm's entry and exit, export, and innovation. (3) The local environmental legislation has heterogeneous impacts on employment growth in different industries and different regions, and the estimated effect is more obvious in high-pollution industries and areas with strong enforcement. (4) Environmental legislation significantly improves job destruction and reduces job creation, resulting in a − 3.86% job net increase. Due to the long-term implementation of extensive economic growth mode, China's ecological environment has been deteriorating since the 1990s, and environmental pollution has attracted more and more social attention. Until 2013, the Communist Party of China put forward 'ecological civilization', and building a beautiful new China with harmonious coexistence between man and nature has become an important development strategy. Meanwhile, starting from the implementation of the Two-Control-Zone policy in 1998, China has implemented numerous environmental policies in just ten years. These environmental policies have greatly improved the quality of China's ecological environment, but their economic effects have been controversial. Given the special historical period, this paper helps assess the impact of Chinese environmental policies on employment and provides a more objective policy evaluation and implications for improving existing laws and regulations to achieve higher social welfare. To achieve this goal of balancing the improvement of the ecological environment and high employment level, environmental policies firstly should be flexible to ensure that the environmental standards follow the firm's characteristics and regional characteristics to avoid "one size fits all". Particularly, for regions with poor economic development or having a single industrial structure, the implementation cycle of the environmental policies should be extended to ensure that they have enough time to achieve industrial restructuring and complete the environmental protection goals. Secondly, we find that environmental legislation hurts employment growth by limiting export decisions, so the government should use multiple channels to stabilize export when implementing environmental legislation. Thirdly, technological R&D and innovation play an important role in the effect of environmental legislation on firms' employment growth. Therefore, the government should provide a more flexible environment for firms' R&D and innovation with appropriate fiscal policies and technical support. [ABSTRACT FROM AUTHOR]

This research aims to enlighten current and future research trends on political connections by providing complete bibliometric mapping through network studies on political connections. Utilizing Biblioshiny, the Bibliometrics R package, multi-perspective research publications on political connections from 2003 to the third quarter of 2023 were discovered and analyzed. This bibliometric analysis provides valuable insights regarding current and future publications on political connections. The most prolific contributors, the most used keywords, the most productive countries and sources, the most cited publications, and the most productive sources of information are network analysis data about co-occurrence networks. The discourse revolves around issue mapping data on political connection studies. The search method used to find related literature is the Scopus database. This research contributes valuable information to help other researchers map ongoing and future investigations into political connections. This bibliometric analysis of 294 documents is the first regarding political connections known to researchers. This evaluation emphasizes annual publication trends, authors, publications, countries, organizations, and most productive sources, determining potential future research objectives. The research on political connections was published in early 2003. No papers were released on this subject for 3 years after 2003 (2003–2005), which shows that the growth of this academic field slowed down for ten years. There were significant changes in 2011, and many more linked papers have been released. Authors from the USA and China significantly contributed to the initial scientific journal papers on their political connections. Hong Kong, China, and Australia are recognized as leading nations in scholarly contributions to studying political connections. Chinese scholars spearheaded the collaborative publication effort focused on political connections, with the USA and Australian experts following suit. Based on indexed terms, political connections, sustainable development, and financial performance are trending keywords. These results show possible directions for further research into political connections. [ABSTRACT FROM AUTHOR]

Green development is the main theme of modern development in China and even the world. Green development depends on green technology innovation (GTI). Therefore, for developing countries like China in the stage of economic transition, it is urgent to accelerate GTI to gain sustained advantages in the new round of international competition. As an important representative of contemporary rapid transportation, high-speed railway (HSR) can not only alleviate the rapidly growing transportation demand of the public, but also have potential benefits to the energy consumption structure and environmental quality. Whether and how HSR affects GTI has become the focus of this paper. Hence, by employing the panel data of 286 cities in China from 2007 to 2018 with the time-varying DID model, this paper verifies that HSR development can contribute to GTI. The main findings of this paper are as follows: (1) The operation of HSR can not only make the incremental development of GTI, but also improve the quality of GTI simultaneously. Moreover, the quality improvement effect of HSR is greater than the quantity increment effect. (2) Heterogeneity analysis shows that the positive effect of HSR on GTI is more significant for cities that have implemented LCCP. (3) This paper verifies the mediating effect of high-quality human capital. The opening of HSR further stimulates GTI by improving the level of high-quality human capital in cities and increasing the opportunities for knowledge exchange and diffusion. Based on the above findings, this paper proposes some policy recommendations to help developing countries achieve GTI with positive externalities. [ABSTRACT FROM AUTHOR]

This paper uses the exogenous shock of China's formal implementation of the environmental information disclosure system in 2008 to construct a quasi-natural experiment. Based on the panel data of prefecture-level cities from 2003 to 2019, the propensity score matching and difference in difference (PSM-DID) approach was used to systematically evaluate the impact of environmental information disclosure on energy efficiency. Overcoming the difficulties in measuring environmental information disclosure and the endogenous problem, this paper investigates the energy-saving effect of environmental information disclosure and illustrates its mechanism for the first time. The results show that environmental information disclosure significantly improved energy efficiency, and public participation played an important role in energy conservation, a conclusion that remained true after a series of robustness tests. The test of the impact mechanism shows that environmental information disclosure can achieve the goal of improving energy efficiency by promoting industrial structure upgrading and technological innovation. This paper enriches the discussion on the relationship between environmental information disclosure and energy efficiency, and provides useful policy inspiration for improving the level of energy efficiency and achieving sustainable economic development. [ABSTRACT FROM AUTHOR]

Objective: To understand the current status of research in the field of metaverse, and to analyze the research progress and evolutionary trends in this field. Methods: Based on the bibliometric analysis, a total of 921 papers were obtained by searching the Web of science core database for the keyword "metaverse". CiteSpace was used to visualize and analyze the current status and trends of metaverse research in China. Results: Ireland is currently the country with the highest research impact. China is currently the country with the largest number of publications in this field, but the impact of the research is insufficient. The current research in the highly cited literature focuses on technical and history reviews of the metaverse as well as its development in the field of education. Artificial Intelligence and utaut2 are the underlying clusters of cited literature in this research area. Several research hotspots have been formed, such as virtual reality, augmented reality, mixed reality, digital twins and artificial intelligence. Conclusion: The current research on metaverse in various fields is basically in its infancy, but has a great potential for future development and will gradually penetrate into many different directions with many challenges. [ABSTRACT FROM AUTHOR]

China's rapid economic development has attracted worldwide attention, but the resulting environmental problems also cannot be ignored. Whether environmental regulations can achieve a win–win situation between "green" and "economic growth" has become the focus of academic circles. While related studies have examined environmental regulation through the "Cost-following theory" and "Porter hypothesis", they have mostly focused on a particular region or province, thus neglecting the spatial effects. The spatial effects of environmental regulation are important to study because of the overall environmental correlation across regions and especially adjacent provinces. This paper extends the "cost-following theory" and the "Porter hypothesis" to the spatial perspective and proposes two hypotheses, respectively. Through the spatial expansion of environmental regulation theory, this paper not only analyses the direct effect of local environmental regulation on local economic growth, but also the spatial spillover effect of adjacent provinces' environmental regulation on local economic growth. The empirical results show that the relationship between environmental regulation and economic growth in China is consistent with the spatial perspective of "Cost-following theory", but not with the spatial perspective of "Porter hypothesis". Through the above analysis, this paper is able to address the issues of how to make environmental regulation policies in adjacent provinces or regions as a whole, and how to coordinate environmental regulation with economic growth in adjacent regions. The findings of this paper also suggest that spatial effects need to be sufficiently considered in future studies on environment-related issues. [ABSTRACT FROM AUTHOR]

How has China's privacy protection strategy been developed, with its broad scope and stringent requirements for data localization and cross-border data flows? What are the broader geopolitical implications of its divergence from Western models of data privacy? This paper argues that China's privacy protection strategy, characterized by its comprehensive regulatory framework and government access to data, is redefining the contours of global data governance and creating new geopolitical fault lines. Drawing on official documents, laws, regulations, and a case study, this paper highlights the evolution of the regulatory framework in response to emerging challenges posed by technological innovations and the wider geopolitical environment. This paper contributes to the broader discussion regarding the implications of China's privacy protection approach, highlighting potential normative clashes with countries that favor a more open digital economy. China's efforts in developing its own privacy protection strategy have also resulted in the formulation of global standards for data privacy. [ABSTRACT FROM AUTHOR]

Environmental protection supervision is an important manifestation of ecological accountability system reform. Taking the implementation of China's central environmental protection inspection (CEPI) policy as a quasi-natural experiment, this paper applies the time-varying difference-in-difference (DID) model to identify the impact of the CEPI policy on the likelihood of enterprises' environmental violations. The main conclusions include: (1) the implementation of CEPI policy is conducive to inhibiting environmental violations. After a series of robustness tests, including the parallel trend test, the placebo test, the exclusion of policy interference, and the replacement of explained variables, the result remains robust. In terms of dynamic perspective, there is a lag in the impact of CEPI policy on enterprises' environmental violations. (2) The effect of CEPI policy is more prominent on samples of large enterprises, enterprises with highly concentrated equity, enterprises that polluted heavily, enterprises owned by executives with a political background, and enterprises that are situated in regions with higher level of marketization and more developed information infrastructure. (3) The CEPI policy can restrain the environmental violations of enterprises by a dual mechanism of releasing punishment and deterrence signals from the external governance, and forcing enterprises to enhance environmental management system from the internal governance. [ABSTRACT FROM AUTHOR]

Carrying out low-carbon economic cooperation under the belt and road initiative (BRI) is an important measure to actively respond to climate change and maintain global ecological security. With the continuous development of national strength, the Chinese government should actively fulfill environmental responsibility in the BRI economic cooperation. Existing studies have pointed out that the Chinese government can promote low-carbon economic cooperation in BRI through outward foreign direct investment (OFDI), and emphasized the significance of the Chinese government's participation. However, they have not revealed the relationship between China's environmental responsibility and the construction of a green BRI. To fill this gap, this paper analyzes the strategic choices and relevant influencing factors of the Chinese government, governments of countries along the BRI, and Chinese OFDI enterprises in the BRI low-carbon economic cooperation. Through parameter assignment and simulation, this paper draws the following conclusions: (1) The Chinese government should decide whether to take the initiative to fulfill environmental responsibility according to the economic development level of countries along the BRI; (2) The Chinese government fulfilling environmental responsibility is positive and effective for the responsible investment of Chinese OFDI enterprises; (3) The Chinese government fulfilling environmental responsibility can enhance the initiative of countries along the BRI to positive governance, but this enhancement is not last. More importantly, the environmental responsibility of the Chinese government is not simply to provide subsidies to countries along the BRI. Various measures must be taken by the Chinese government to fulfill its environmental responsibility in the BRI economic cooperation. [ABSTRACT FROM AUTHOR]

Durability is one of the technical bottlenecks restricting fuel cell electric vehicle development. As a result, significant time and resources have been invested in research related to this area worldwide. Current durability research mainly focuses on the single cell and stack levels, which is quite different from the usage scenarios of actual vehicles. There is almost no research on developing durability test cycles on the fuel cell system level. This paper proposes a universal model for developing a durability test cycle for fuel cell system based on the China automotive test cycle. Large-scale comparison tests of the fuel cell systems are conducted. After 1000 h test, the output performance degradation of three mass-produced fuel cell system is 14.49%, 9.59%, and 4.21%, respectively. The test results show that the durability test cycle proposed in this paper can effectively accelerate the durability test of the fuel cell system and evaluate the durability performance of the fuel cell system. Moreover, the methodology proposed in this paper could be used in any other test cycles such as NEDC (New European Driving Cycle), WLTC (Worldwide Harmonized Light Vehicles Test Procedure), etc. And it has comprehensive application value and are significant for reducing the cost of durability testing of fuel cell systems and promoting the industrialization of fuel cell electric vehicles. [ABSTRACT FROM AUTHOR]

Effective forecasting of energy consumption structure is vital for China to reach its "dual carbon" objective. However, little attention has been paid to existing studies on the holistic nature and internal properties of energy consumption structure. Therefore, this paper incorporates the theory of compositional data into the study of energy consumption structure, which not only takes into account the specificity of the internal features of the structure, but also digs deeper into the relative information. Meanwhile, based on the minimization theory of squares of the Aitchison distance in the compositional data, a combined model based on the three single models, namely the metabolism grey model (MGM), back-propagation neural network (BPNN) model, and autoregressive integrated moving average (ARIMA) model, is structured in this paper. The forecast results of the energy consumption structure in 2023–2040 indicate that the future energy consumption structure of China will evolve towards a more diversified pattern, but the proportion of natural gas and non-fossil energy has yet to meet the policy goals set by the government. This paper not only suggests that compositional data from joint prediction models have a high applicability value in the energy sector, but also has some theoretical significance for adapting and improving the energy consumption structure in China. [ABSTRACT FROM AUTHOR]

In the process of global urban development, there are urgent ecological security and environmental pollution problems, green development is the fundamental way for urban sustainable development, economic transformation and mitigation of ecological and environmental problems. Based on the panel data of 283 cities at prefecture level and above in China from 2003 to 2017, this paper analyzes spatial–temporal evolution characteristics of urban green development efficiency (UGDE) and the peer effects of UGDE between cities of different grades. It is found that during the study period, in terms of temporal evolution, the average UGDE in China increased from 0.47 in 2003 to 0.61 in 2017, with a cumulative growth rate of 29.79%, showing a rising trend in general. In terms of spatial evolution, the number of low-efficiency cities and medium-efficiency cities continued to decrease. The eastern region has always been the main distribution area of higher-efficiency cities and high-efficiency cities; in the central region, UGDE in most cities improved significantly; in the western region, UGDE has always lagged behind that in the eastern and central regions. In addition, the center of gravity of UGDE presented a trend of northwest migration in general, with a total displacement of 100.07 km, and UGDE showed a spatial dispersion trend. The empirical results indicate that the improvement of UGDE in large cities has a driving effect on that in neighboring medium cities and small cities through the positive peer effect, and the growth of UGDE in medium cities has a promoting effect on that in neighboring small cities through the positive peer effect; the increase of UGDE in medium cities has a positive peer effect on that in neighboring large cities, and the growth of UGDE in small cities has a positive peer effect on that in neighboring medium cities; UGDE promotes each other between large cities through the positive peer effect. [ABSTRACT FROM AUTHOR]

The Ming Great Wall Military Defense System is the most complete ancient military cultural heritage in China, which is of great significance to the study of China's ancient military defense mechanism and pattern. Military settlement is an important carrier of this mechanism. The estimation and in-depth understanding of its value can further excavate the profound connotation of the military defense system and the Great Wall spatial pattern in the Ming Dynasty. This paper adopts the AHP-CRITIC weighting approach to determine the weights of the historical value, scientific value, social value, cultural value and artistic value of the settlement heritage, so as to construct the value evaluation model of military settlements, and takes 34 Ming Great Wall military settlements in the Liaoxi Corridor as an example for evaluation. The results of the evaluation identified the priority settlements for conservation and development, and also explored their relationship with historical status, urbanization processes and official policies. The evaluation model constructed in this paper has a certain universality, and can also be followed in the evaluation of other military settlements in the Ming Great Wall Defense System, so as to obtain the overall cognition of the settlement system. [ABSTRACT FROM AUTHOR]

Through an ethnographic study of Chinese IT professionals who integrate a form of data culture into the digital platforms they design, maintain, and operate daily within one of China's tech giants, this paper reveals numerous overlaps and interrelations between the data practices of Chinese IT professionals and the broader social implications that arise from them. The aim is to foster a more productive dialogue between the social studies of quantification and platform studies. This original research proposes the backstage as a potent methodology for inquiring into the role of Chinese IT professionals and domestic tech giants in advancing measuring systems and audit culture. This paper concludes by suggesting that such an approach can also be applied to wider studies of the paradox in quantification between its general claims and specific effects. [ABSTRACT FROM AUTHOR]

Air pollution poses a great danger to human health and economic development, and understanding people's willingness to pay for improved air quality (WTPA) impacts environmental protection. This paper investigates WTPA based on the perspective of subjective well-being (SWB) and analyzes the mediating role of social interaction on the relationship between the two. This paper distinguishes social interactions into online and offline interactions and analyzes whether the mediating effect of the two different interactions on SWB and WTPA exists separately. Using data from the 2018 China General Social Survey (CGSS), we find that SWB has a significant positive effect on WTPA, individuals with higher well-being have higher pro-environmental willingness; there is no age, education level, sex of the person, or regional heterogeneity in the effect of SWB on WTPA; offline social interactions play a partially mediating role between SWB and WTPA, while online social interactions failed to mediate between the two. This paper's policy implication is that improving residents' subjective well-being is both an important development goal and an essential way to resolve the conflict between economic development and environmental protection. [ABSTRACT FROM AUTHOR]

Industrial ecology (IE) is the process of constructing industrial-ecological systems (IES) with the realization of the mutual benefits for industrial system (IS) and ecological system (ES). Therefore, the IE level depends on the IES development and the relationship between IS and ES. This paper calculated the development index of ES and IS to account for IES development and adopted the grey Lotka–Volterra to analyze the relationship between IS and ES. Choosing the π-shaped curve area in the Yellow River basin of China as the study area, this paper analyzed its IE level and influence factors from 2005 to 2019. Findings include: (1) The development level of IES in the Area presented significant spatial differentiation and could be classified into three levels. (2) IS and ES remained in the stage of isolated development or mutual restriction. (3) IE was found to be positively correlated with scientific innovation, economic development, openness degree, pollution control, and industrial structure while negatively correlated with urbanization, resource consumption, and government influence. [ABSTRACT FROM AUTHOR]

Although the effect of highways on economic growth has been widely discussed, its role in green technological innovation has not yet attracted attention facing today's strong emphasis on the green economy. To fill this gap, this paper aims to provide empirical evidence by investigating the effects of highways on regional green technological innovation in China. The paper elaborates theoretically on three mechanisms through which the development of highways may influence regional green technological innovation, namely the agglomeration effect, spatial spillover effect, and network effect. To advance the empirical analysis, this paper constructs a spatial Durbin model accounting for spatial interdependencies among regions. Unlike previous literature, this paper uses "the strength of economic linkage" to indicate the development of highways in each city and discusses geographic distance and time-distance effect (spatio-temporal effect) resulting from highways. Using panel data of 105 prefecture-level cities in China's Yangtze River Economic Belt from 2001 to 2013, we find that: (1) highway has a significant role in promoting regional green technological innovation; (2) significant spatial spillover effects resulting from highways exist and the magnitude of the influence varies with geographical and temporal distance effect. Our findings provide references for developing transportation infrastructure and green innovation in China. [ABSTRACT FROM AUTHOR]

The power industry's low carbon transition is pivotal for achieving carbon reduction and sustainable development. This study uses the super epsilon-based measurement (Super-EBM) model and the Malmquist index to evaluate the power industry's low carbon transition efficiency using data from 30 provinces in China from 2010 to 2020, and utilizes the Tobit model to comprehensively analyze the factors affecting the low carbon transition of power industry. In addition, this paper examines the spatial differences in the power industry's low carbon transition efficiency as well as its distributional characteristics and dynamic evolutionary patterns. Conclusion is drawn as follows this paper analyzes the regional differences, spatial distribution characteristics and dynamic evolutionary trends of the power industry's low carbon transition. The main conclusions are as follows: (1) The power industry's low carbon transition efficiency in China shows an uptrend, with the western China region having the highest overall level of efficiency, greater fluctuations in the central China region, and more stability in the eastern China region, technological progress is a central factor in increasing total factor productivity, the efficiency of the power industry's low carbon transition is positively influenced by the electricity prices, and negatively influenced by the energy structure, environmental regulations and economic structure; (2) the Intraregional differences and hypervariable density are the main reasons sources of the overall differences in the efficiency of the power industry's low carbon transition; Intraregional differences in the eastern, central, and western China regions are decreasing year by year, but the efficiency of the power industry's low carbon transition in the western China region is still distributed in a multipolar way; (3) The dynamic evolutionary trends of the efficiency distribution of the low carbon transition in power industry is influenced by the type of spatial lag in the neighboring area. Where areas with low efficiency makes it difficult to achieve short-term leapfrog development, and areas with a cluster of high-efficiency provinces are prone to "Siphon Effect". The findings provide a theoretical basis for promoting the efficiency of the power industry's low carbon transition and coordinating the strategic adjustment of economic and environmental green development. [ABSTRACT FROM AUTHOR]

Accurate prediction of regional terrestrial water storage change (TWSA) is of great significance for water resources planning and management, and early warning of extreme climate disasters. Aiming at the problem that the conventional methods on prediction of TWSA time series are difficult to be accurate, the six typical regions are selected in China as examples, including the upper reaches of the Yangtze River (UYR), the southwest region (SWR), the Liaohe River Basin (LRB), the North China Plain (NCP), the Qinghai-Tibet Plateau (QTP), and the Pearl River Basin (PRB). The mascon product from GRACE/GRACE-FO provided by CSR is used to extract TWSA time series in six typical areas. The improved Back Propagation (BP) neural network, Long Short-Term Memory (LSTM) neural network and the latest Bidirectional LSTM (BiLSTM-attention) neural network model based on attention mechanism are proposed to predict and analyze the regional TWSA. In the experiment, the selection of the optimal model parameters such as the number of hidden layer nodes and the number of hidden units of the neural network model is tested and analyzed in detail. Meanwhile, the model prediction results are compared with the traditional least squares method and random forest (RF) prediction method. The root mean square error (RMSE), determination coefficient (R2), Nash–Sutcliffe efficiency coefficient (NSE) and mean absolute percentage error (MAPE) were used to evaluate the accuracy of the predicted results. The results show that the improved BP, LSTM and Bi-LSTM-attention neural network models all achieve higher prediction accuracy in UYR and SWR areas. RMSE is less than 2.641 cm, R2 is as high as 0.8 or more, NSE is above 0.6, and MAPE is within 0.1. Compared with the least square method, the RMSE of the predicted results from three neural network decreased by 0.998 cm, 0.700 cm and 0.7563 on average, and the R2 increased by 81.75%, 69.89% and 72% on average. Compared with RFML method, the RMSE from three neural network is reduced by 0.601 cm, 0.316 cm and 0.360, and R2 is increased by 38.20%, 24.60% and 27.06% on average. NSE and RMSE are improved to varying degrees in the above regions. It shows that the improved BP, LSTM and BiLSTM-attention model used can effectively predict TWSA. The research methods and results in this paper can provide important reference for the rational utilization of regional water resources and disaster risk assessment. [ABSTRACT FROM AUTHOR]

The Yangtze River (hereafter referred to as the YZR), the largest river in China, is of paramount importance for ensuring water resource security. The Yangtze River Basin (hereafter referred to as the YRB) is one of the most densely populated areas in China, and complex human activities have a significant impact on the ecological security of water resources. Therefore, this paper employs theories related to ecological population evolution and the Driving Force-Pressure-State-Impact-Response (DPSIR) model to construct an indicator system for the ecological security of water resources in the YRB. The report evaluates the ecological security status of water resources in each province of the YRB from 2010 to 2019, clarifies the development trend of its water resource ecological security, and proposes corresponding strategies for regional ecological security and coordinated economic development. According to the results of the ecological population evolution competition model, the overall indicator of the ecological security of water resources in the YRB continues to improve, with the safety level increasing annually. Maintaining sound management of water resources in the YRB is crucial for sustainable socioeconomic development. To further promote the ecological security of water resources in the YRB and the coordinated development of the regional economy, this paper proposes policy suggestions such as promoting the continuous advancement of sustainable development projects, actively adjusting industrial structure, continuously enhancing public environmental awareness, and actively participating in international ecological construction and seeking cooperation among multiple departments. [ABSTRACT FROM AUTHOR]

In sedimentary basins, deep-seated overpressure conditions are frequently encountered. However, the precise origins of these overpressure conditions and the assessment of their formation times have long presented challenges. Previous studies have primarily relied on qualitative approaches to investigate overpressure origins, leading to substantial uncertainties in their findings. Based on theories such as the effective stress law, disequilibrium compaction, equilibrium depth, and nested fluid trapping containers in this paper, a new quantitative methodology is introduced for identifying the disequilibrium-compaction-induced origins of overpressure conditions. Additionally, the formation times of overpressure can be also estimated by nested fluid trapping container theory. This methodology is successfully applied to the northwestern Bozhong subbasin in the Bohai Bay Basin, China. The results indicate that the overpressure within the Dongying Formation of the northwestern Bozhong subbasin is primarily attributed to the disequilibrium compaction of mudstone, because the disequilibrium compaction of mudstone accounts for over 90% of the pressure in sandstone. Furthermore, the overpressure system in this area is not singular but comprises multiple nested relative fluid trapping containers. The application of nested fluid trapping container theory allows for an estimation of the overpressure's formation time, although further validation of these estimates is required. It should be noted that the method proposed in this paper is particularly suited for sedimentary basins with relatively weak tectonic activity. [ABSTRACT FROM AUTHOR]

The role of environment in promoting happiness has been well known, but the impact of the government's ecological environment policy on residents' happiness remains to be explored. This paper uses the first batch of pilot policies for the construction of eco-civilized cities in China (Jiangxi, Fujian, and Guizhou) as a quasi-natural experiment to empirically study the impact of ecological civilization construction in China on residents' subjective well-being. Using the data from the China Household Finance Survey and difference in difference method, we find that Chinese ecological civilization construction has significantly improved the happiness of local residents. Mechanism analysis shows that the "happiness effect" mechanism of Chinese ecological civilization construction by improving household income, health level, and the living environment of residents. In addition, the "happiness effect" of Chinese ecological civilization construction shows group heterogeneity, and ecological civilization construction plays a larger role in promoting the well-being of residents of low-asset families, urban families, and families that own their own houses. Finally, the "happiness effect" of Chinese ecological civilization construction shows regional heterogeneity, and the construction of ecological civilization has a more striking effect on improving the well-being of residents in Jiangxi province and Guizhou province. According to the authors' knowledge, the present study is the first to study the impact of China's macroeconomic environmental policies on residents' happiness, and the present study contributes to the research on residents' happiness. [ABSTRACT FROM AUTHOR]

Sustainability has become an extensive concern in biological and social research. As for urban–rural development, narrowing the disparities between urban and rural areas and leading to urban–rural integration is a tendency of urban–rural development worldwide and an inevitable way to create a sustainable human society. China is in a critical stage of significant challenges and opportunities with a scale and pace unique in history. Although some studies have begun to focus on sustainable urban and rural development, they have often neglected to assess issues related to rural areas. China has undergone the adjustment of rural structure and development policies, and the sustainable development of rural areas should be given enough attention. This study constructs a system of indicators related to rural public resources, aiming to assess whether there are distributional inequalities in spatial allocation. The calculations show that: (1) China's rural public resources allocation coefficient is stable at 0.2 to 0.3 at the national level. (2) Even under policy support, a significant decline rate change still occurs. (3) Western education resources are allocated relatively compared with eastern provinces, but resources are rarely in medical and social security. China has implemented a firm macro-control policy regarding resource allocation in rural areas. Furthermore, the government should continue to increase investment in human resources and public facilities to adjust regional differences. This paper analyzes the allocation structure of rural resources based on China's new policy theory. It has opened a new path in sustainable rural development governance and public resource allocation to provide constructive suggestions for sustainable rural development in China and other developing countries. [ABSTRACT FROM AUTHOR]

The amount of actively cultivated land in China is increasingly threatened by rapid urbanization and rural population aging. Quantifying the extent and changes of active cropland and cropping intensity is crucial to global food security. However, national-scale datasets for smallholder agriculture are limited in spatiotemporal continuity, resolution, and precision. In this paper, we present updated annual Cropland Use Intensity maps in China (China-CUI10m) with descriptions of the extent of fallow/abandoned, actively cropped fields and cropping intensity at a 10-m resolution in recent six years (2018–2023). The dataset is produced by robust algorithms with no requirements for regional adjustments or intensive training samples, which take full advantage of the Sentinel-1 (S1) SAR and Sentinel-2 (S2) MSI time series. The China-CUI10m maps have achieved high accuracy when compared to ground truth data (Overall accuracy = 90.88%) and statistical data (R2 > 0.94). This paper provides the recent trends in cropland abandonment and agricultural intensification in China, which contributes to facilitating geographic-targeted cropland use control policies towards sustainable intensification of smallholder agricultural systems in developing countries. [ABSTRACT FROM AUTHOR]

This paper systematically presents the development process of studying ancient Chinese ethnic scripts over the past seven decades since the founding of the People's Republic of China in 1949, including the establishment of related research institutions and academic disciplines. Firstly, it records the establishment of the Chinese Association for Ethnic Paleography, the emergence of ancient scripts of ethnic groups in China as an academic discipline, and the conduction of a comprehensive and in-depth study of ancient Chinese ethnic literature in history. Secondly, this paper outlines the establishment of the National Leading Group for Compilation and Publication Planning of Ancient Ethnic Books, the census of ancient books written in ethnic scripts, the specialized preservation and conservation of ancient ethnic books in Xizang and Xinjiang, the promotion of compiling and publishing ancient ethnic books, and how the promotion further drives the protection of and research on ancient books written in ethnic scripts. Thirdly, the paper lists many innovative outcomes in studying ancient ethnic books. Fourthly, the paper proposes to conduct further censuses and in-depth research in this area, establish a grading system for ancient ethnic books, and utilize the resource of ancient ethnic books written in ethnic scripts in a modern context to further promote the excellent cultural heritages of the Chinese nation and enhancing ethnic unity and national unity. [ABSTRACT FROM AUTHOR]

Research interest in organic food consumption has increased significantly worldwide, but a systematic analysis of this phenomenon in China is still lacking. The existing studies in this area are wide-ranging and fragmented, and there is a lack of comprehensive research into the drivers and barriers specific to the Chinese context. Based on a literature review of 26 articles spanning from 2011 to 2021, this article employs the consumption values theory and the innovation resistance theory to discern patterns on the drivers and barriers of organic food consumption in China. The findings show that the most explored drivers include the functional values of healthiness and safety. Within the social value realm, environmental concern and symbolic value emerge as important influences on Chinese consumers. Conditional values shed light on factors such as perceived healthiness and certification/organic labeling. Regarding barriers, an aspect of research less analyzed, the article finds key obstacles being price sensitivity, perceived uncertainty, lack of knowledge or information, lack of reliability, and lack of availability or visibility. [ABSTRACT FROM AUTHOR]

Systematic and comprehensive understanding of stakeholder relationships is the key component for achieving social sustainability of brownfield regeneration (BR), which has not been recognized by existing researches. Based on the widely acknowledged idea of social networks, this paper proposes a systematic research framework for the analysis of stakeholder relationships, with a focus on the dynamic and networked nature of relationships. The relationship network of stakeholders in BR is considered from three aspects: identifying the stakeholders and relationships among them, quantifying stakeholder relationships, and analyzing relationships network structure. The proposed stakeholder relationships analysis framework uses empirical methods (i.e., interviews and surveys), rationalistic methods (i.e., fuzzy analytic hierarchy process (FAHP) and social network analysis (SNA)) to analyze stakeholder relationships. To demonstrate the usability of the proposed framework, we apply it to the BR in China. The results show that: (1) it is feasible to mine the relationships of stakeholders from the social network perspective; (2) from the individual network aspect, the government, developers, government are at the core of the network with the highest network centrality during the recycling and contamination treatment stage, the construction stage and the use stage, respectively; (3) from the local network aspect, different cohesive subgroups with strong linkages are formed throughout the life cycle of BR; (4) from the overall network aspect, the highest density of the use stage means that there is good cohesion among stakeholders at this stage; the centralization of the construction stage is the highest, indicating that the stakeholders have relatively concentrated network power and loose relationships. The paper puts forward suggestions for improving the network structure of stakeholder relationships, including strengthening the network relationship between the government and environmental non-government organizations (ENGOs), improving the monitoring efficiency and network status of news media, establishing a construction consulting platform that effectively serves the public and end-users, forming the alliances among end-users, the public and ENGOs and enhancing the relationship network stability. Overall, this study helps to clarify stakeholder relationships by providing a systematic framework to encourage better stakeholder engagement. [ABSTRACT FROM AUTHOR]

Tourism has become a major driver of China's economic growth and consumes much energy causing environmental pollution problems. This paper combines the LMDI (logarithmic mean Divisia index) method and K-means clustering to analyze the factors influencing tourism energy consumption in seven Chinese provinces and discusses strategies for energy consumption in tourism. Specifically, firstly, this paper decomposes the tourism energy consumption factors in each province into six factors and identifies the driving forces of different factors on energy consumption. Secondly, K-means clustering method is used to classify different provinces into three categories using the latest dynamic influencing factors as clustering factors and provincial targeted suggestions are made according to the characteristics of different categories. This paper combines the LMDI model with cluster analysis to find targeted energy optimization strategies for the energy consumption of the Chinese tourism industry. [ABSTRACT FROM AUTHOR]

Accurate prediction of sea level height is critically important for the government in assessing sea level risk in coastal areas. However, due to the nonlinear, time-varying and highly uncertain characteristics of sea level change data, sea level prediction is challenging. To improve the accuracy of sea level prediction, this paper uses a new swarm intelligence algorithm named the sparrow search algorithm (SSA), which can imitate the foraging behavior and antipredation behavior of sparrows, to determine optimal solutions. To avoid the algorithm falling into a local optimal situation, this paper integrates the sine–cosine algorithm and the Cauchy variation strategy into the SSA to obtain an algorithm named the SCSSA. The SCSSA is used to optimize the parameter values of the CNN-BiLSTM (convolutional neural network combined with bidirectional long short-term memory neural network) model; finally, a combined neural network model (named SCSSA-CNN-BiLSTM) is proposed. In this paper, the time series data of seven tidal stations located in coastal China are used for experimental analysis. First, the SCSSA-CNN-BiLSTM model is compared with the CNN-BiLSTM model to predict the time series data of SHANWEI Station. With respect to the training and test sets of data, the SCSSA-CNN-BiLSTM model outperforms the other models on all the evaluation metrics. In addition, the remaining six tide station datasets and five neural network models, including the SCSSA-CNN-BiLSTM model, are used to further study the performance of the proposed prediction model. Four evaluation indices including the root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and coefficient of determination (R2) are adopted. For six stations, the RMSE, MAE, MAPE and R2 of SCSSA-CNN-BiLSTM model are ranged from 20.9217 ~ 27.8427 mm, 9.4770 ~ 17.8603 mm, 0.1322% ~ 0.2482% and 0.9119 ~ 0.9759, respectively. The experimental analysis results show that the SCSSA-CNN-BiLSTM model makes effective predictions at all stations, and the prediction performance is better than that of the other models. Even though the combination of SCSSA algorithm may increase the complexity of the model, indeed the proposed model is a new prediction method with good accuracy and robustness for predicting sea level change. [ABSTRACT FROM AUTHOR]

In the last decade, biochar application research has emerged as a hot topic in water treatment studies, which made biochar adsorption one of the primary wastewater treatment strategies. This paper presents a global bibliometric analysis of 2673 publications from the Web of Science database, spanning 2011–2022. For a comprehensive understanding of the research status and trends in biochar adsorption for wastewater treatment, the advanced quantitative and visual analysis tools (i.e., CiteSpace and ArcGIS) were employed. The results showed that China emerged as the leading country with the most published articles. The key research area is on the magnetic adsorption of biochar in wastewater. The articles summarized in the review demonstrated unequivocally that biochar can treat a wide range of wastewater even though the adsorption mechanisms of biochar on heavy metals, inorganic salts and organic pollutants in wastewater are not entirely consistent. The review further analyzes the factors affecting the performance of biochar in adsorbing pollutants from wastewater and the improvement measures of biochar functional characteristics, proposing the future research directions focusing on the improvement of the adsorption capacity of biochar products. The information synthesis and discussion would provide valuable insights on the historical, current, and future trends in biochar research, beneficial to solve the practical problems of water pollution and improve the quality of the environment. [ABSTRACT FROM AUTHOR]

In recent years, disasters caused by climate change have brought marked losses to individual economic agents. To cope with fluctuating climate risks, climate policies have witnessed frequent adjustments worldwide, resulting in heightening uncertainty on climate policies that have become an important factor affecting business operations. This paper uses a fixed-effects model to study the role of climate policy uncertainty on the financialization of China's A-share listed enterprises. Our results find that a rise in climate policy uncertainty has a dampening effect on corporate financialization, while energy-intensive enterprises are most affected. Although climate policy uncertainty negatively impacts the size of enterprises' financial assets, the impact varies for different types of financial assets. We recommend that the government should maintain a robust climate policy to prevent frequent policy changes from harming company operations. This paper fills the gap by investigating the relationship between climate policy and corporate financialization. Under the backdrop of a rising climate policy uncertainty, our findings possess important implications for the improvement in enterprises' business strategies and policy effectiveness against global climate change. [ABSTRACT FROM AUTHOR]

Food consumption has resulted in great carbon emissions in recent years. China has been facing the new mitigation challenge of carbon emissions with its emerging middle-income groups, especially in urban areas. This paper analyzes and predicts carbon emissions from food consumption (CEFC) of middle-income groups in the Yangtze River Economic Belt (YREB), which has a higher emerging middle-income group and the highest economic corridor in China. Few studies address CEFC analysis from middle-income groups perspective; thus, this paper calculates urban–rural CEFC of middle-income groups spanning 2010–2018 and predicts them in 2025, 2030 and 2035 using the extended IPAT model. Results are as follows: (1) YREB's urban–rural CEFC of middle-income groups show an upward trend and present a spatial pattern of "low–high–low–high" from the western region to the eastern region. Urban CEFC of middle-income groups are significantly higher than that of rural areas; (2) rural CEFC of middle-income groups in the YREB will first increase in 2025 and then decrease in 2030 and 2035. The growing trend of urban CEFC of middle-income groups will show a significant downward from 2025 to 2035. The growing proportion of urban CEFC of middle-income groups will exhibit an objective growth in 2035. Understanding the changing trend of CEFC of middle-income groups provides governments with differentiated and forward-looking suggestions toward coordinating middle-income groups' expansion and carbon emissions reduction. [ABSTRACT FROM AUTHOR]

Mining user data and constructing web user profiles of older adults from the perspective of elderly services is conducive to understanding their behavioral habits, needs, and usage preferences on the web, which provides more targeted elderly care services. In this paper, IGA-SOMK + + , which is a novel clustering method for constructing web user profiles of older adults, is proposed based on the China Family Panel Studies (CFPS) survey data, which include 6596 older adults aged greater than 60 years. The selected data aspects include basic information, work situation, health situation, living habits, and web use services. To describe the web user profiles of older adults, a hybrid method based on improved genetic algorithm (IGA) feature selection, self-organizing feature maps (SOM), and K-means + + is proposed. Data on older adults' web use behaviors are first processed, and IGA is used for feature selection based on the adaptive crossover and mutation probabilities. SOM is then used to determine the initial center vectors of K-means + + for further clustering, which is referred to as SOMK + + (SOM-K-means + +). The results of IGA-SOMK + + are compared with those of the state-of-the-art methods, including the K-means, mini batch K-means, Agnes, K-modes, FCM, K-means + + , SOMK + + , and IHPSO-KM. In addition, the significance and robustness of IGA-SOMK + + are analyzed. The experimental results show that the IGA feature selection reduces the influence of the redundant feature factors and improves the performance of the clustering algorithm. SOMK + + overcomes the sensitivity of K-means to initial cluster centers. Moreover, IGA-SOMK + + has the best clustering effect among the compared algorithms in terms of silhouette coefficient (SC), calinski-harabaz (CH) index, and davies-bouldin (DB) metrics. For example, it increases the SC from 0.280 to 0.629. Finally, by analyzing the results, the user group of older adults is segmented to perform the deep mining of CFPS data, which verifies the feasibility of the user profile model. This paper summarizes the basic situation of the current web access of older adults in China in terms of web use services, as well as the importance of the web in their lives and in the information channels. It also provides suggestions for the current problems of older adults in accessing the web. [ABSTRACT FROM AUTHOR]

Based on our fieldwork in Yunnan Province and Ningxia Hui Autonomous Region, this paper explores the different ways in which Chinese rural women engage with the rising industry of e-commerce livestreaming related to agricultural products and villages. Our analytical framework is informed by feminist political economy, which pays heed to the gendered social settings, operation of power, and entanglement between women's domesticity and productivity that underpin people's economic activities. We argue that Chinese rural women's simultaneous empowerment and disempowerment by e-commerce livestreaming are characterized by "mobile immobility", a term inspired by Wallis's (2013) research on rural women's technological empowerment by mobile phones a decade ago. On the one hand, this latest form of e-commerce has created an apparently accessible path for rural women, who tend to be geographically immobile, to achieve social mobility by becoming professional webcasters and/or vloggers. On the other hand, this enablement is in fact classed, aged, and preconditioned on in-laws' support and willingness to share these women's domestic duties, which are not guaranteed. The urban-oriented digital economy of e-commerce livestreaming capitalizes on rural young women's femininity, docile bodies and labor as well as the reproductive labor performed by their family members at the microlevel, reinforcing the urban–rural disparity at the macrolevel. The paper ends with reflections on the role of information and communication technologies and e-commerce in the development of rural China. [ABSTRACT FROM AUTHOR]

The State-level New Area is an emerging type of regional space produced by the national strategy of Regional Coordinated Development in China. It is not a fixed material entity nested in the practice of spatial production, but contains multiple scales of dynamic changes. Therefore, from the multi-dimensional connotations of scale, this paper discusses the internal logic and institutional shaping of political construction of scale. It is suggested that the State-level New Area has the geographic scale characteristics of vast and cross-regional area, the administrative scale characteristics of testability and recursion, and the power scale characteristics of flexibility and flattening. Finally, this paper highlighted that the 'rigid' political scale represented by the State-level New Area can directly promote the rise of city-regions, and can establish a new type of 'central-local' governance relationship. Thus, it is of great significance for China's social and economic transformation and regional governance innovation to make good use of the 'rigid' scale tool of the State-level New Area. [ABSTRACT FROM AUTHOR]

The Luojia 1–01 (LJ1-01) night lighting satellite's superior spatial information capture capability provides conditions for accurate assessment of regional wealth distribution inequality (RWDI) at a small scale. This paper evaluated the wealth Gini coefficient (WGC) of 2,853 counties and 31 provinces in mainland China to establish a comprehensive picture of inequalities at county-level regions in China as a whole, using data from LJ1-01 and the Suomi National Polar Orbiter Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The WGC values (LJ-Gini) calculated by the LJ1-01 data are always higher than those (NPP-Gini) based on NPP-VIIRS, and the mean of the ratio between them is 1.7. Compared with NPP-Gini, LJ-Gini showed sensitivity to low RWDI areas. The average county and provincial LJ-Gini are statistically consistent, 0.77 and 0.78; County LJ-Gini's volatility is significantly higher than that of the provincial LJ-Gini, with standard deviations (SD) 0.13 and 0.096. The differences of RWDI in the regions within some provinces are more significant than in other provinces. For example, the SD of Tibet is 0.31, while all provinces' average SD is 0.13. In addition, this paper establishes a grading criterion based on the normal distribution abstracted from provincial LJ-Gini to reflect the corresponding relationship between the LJ-Gini value and the five inequality ranks. Totally, RWDI demonstrates heterogeneity at various spatial scales and regions, and it correlates negatively with economic development. The superior performance of LJ1-01 data in evaluating county-level RWDI demonstrates its potential to evaluate RWDI on a smaller scale, such as communities and streets. [ABSTRACT FROM AUTHOR]

The distributional outcomes of monetary policy have garnered increasing attention in recent years. While there has been significant progress on both the theoretical and methodological design of studies on advanced economies, research on China has been limited, partly because of its opaque and unique monetary policy framework. This paper investigates the distributional effects of monetary policy shocks in China from 2003 to 2021, as the central bank converges towards a standard interest-rate based regime. A novel policy shock series for China is constructed using the high-frequency external instrument identification method that addresses endogeneity concerns between macroeconomic factors and policy decisions. A structural vector autoregression system identified by short-run restrictions is then used to analyze the impulse responses of income measures and asset market returns to these shocks. Findings suggest that contractionary monetary policy shocks have a negative impact on inequality in China, by increasing the relative share of income at the top and decreasing the share at the bottom of the distribution. Adverse effects are stronger for lower income groups who derive most of their income from labor and business, and experience large and persistent negative effects from an unanticipated rate hike. Meanwhile, the impacts on top earners are neutral or modestly positive, since their income portfolios are diversified by property holdings. As such, this analysis supports the income composition channel theory in explaining the heterogeneity in household responses to monetary policy shocks. [ABSTRACT FROM AUTHOR]

This paper firstly uses the DEA-based Range Directional Model (RDM) and the Global Malmquist–Luenberger (GML) index to calculate the Green Efficiency Index (GEI) of China's cities under the constraints of pollution emissions, energy consumption, and natural resource occupancy. The GEI shows that the average green efficiency of the 285 sample cities achieved a total improvement of 10.1% from 2003 to 2019. The average cumulative improvement rate of green efficiency in the 110 cities in Pollutants Emission Trading Pilot Scheme (PETPS) from 2003 to 2019 was 14.9%, which was higher than the average of non-pilot cities (8.6%). Subsequently, this paper constructs a spatial difference-in-differences model (Spatial-DID) to empirically test the green efficiency promotion effect of PETPS from two aspects: local and spatial spillover. It is found that PETPS can promote the progress of local green efficiency in pilot cities, but there is a spatial spillover effect that is not conducive to the green efficiency progress in surrounding areas. The results of the mediation effect analysis show that the launch of PETPS will significantly reduce the clustering of industrial production activities in the pilot cities, thereby accelerating the green efficiency progress. However, PETPS can also promote clustering of industrial production activities in surrounding areas, thereby inhibiting the green efficiency progress in surrounding areas. These analysis results can fully explain the cause of the negative spatial spillover effect of PETPS. [ABSTRACT FROM AUTHOR]

Green fiscal policy is crucial for achieving green economic recovery and improving green total factor productivity (GTFP). Based on this, using panel data from 30 regions in China from 2009 to 2020, this paper analyzes the impact of green fiscal policy on GTFP. The results show that: (1) Green fiscal policy can improve GTFP, thus achieving green economic recovery. After a series of robustness tests, the conclusion is still valid; (2) Green fiscal policy can have a stronger improvement effect on GTFP in regions with high levels of both public environmental concerns and economic development; (3) Green fiscal policy mainly improves GTFP by promoting green technology innovation and upgrading industrial structure. These findings not only enrich the literature on green fiscal policy and green recovery but also serve as a reference for governmental departments. The government should promote green technology innovation through green fiscal policy and raise public environmental concerns to help achieve green economic recovery. [ABSTRACT FROM AUTHOR]

The mining of open pit mines is widespread in China, and there are many cases of landslide accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is a factor that directly affects the mining efficiency and the safety of the entire mining process. According to the statistics, there is a 15 percent chance of finding landslide risk in China's large-scale mines. And due to the expansion of the mining scale of the enterprise, the problem of slope stability has become increasingly obvious, which has become a major subject in the study of open-pit mine engineering. In order to better predict the slope stability coefficient, this study takes a mine in China as a case to deeply discuss the accuracy of different algorithms in the stability calculation, and then uses a deep learning algorithm to study the stability under rainfall conditions. The change of the coefficient and the change of the stability coefficient before and after the slope treatment are experimentally studied with the displacement of the monitoring point. The result shows that the safety coefficient calculated by the algorithm in this paper is about 7% lower than that of the traditional algorithm. In the slope stability analysis before treatment, the safety factor calculated by the algorithm in this paper is 1.086, and the algorithm in this paper is closer to reality. In the stability analysis of the slope after treatment, the safety factor calculated by the algorithm in this paper is 1.227, and the stability factor meets the requirements of the specification. It also shows that the deep learning algorithm effectively improves the efficiency of the slope stability factor prediction and improves security during project development. [ABSTRACT FROM AUTHOR]

Environmental regulation's impact on the labor market is a very important topic. However, there is a lack of systematic literature review detailing current research in this field. This paper attempts to make up for this gap by first establishing the theoretical model of the impact of environmental regulation on the labor market, then examines and discusses the impact mechanisms in combination with the existing literature. Last, this paper establishes a visual evaluation of the current literature in this field through bibliometric analysis. The results are as follows: (1) Econometric methods have become the mainstream in this field. (2) Environmental regulations mainly affect the labor market through the substitution effect and the output effect, which may act alone or in combination. Due to the relatively imperfect environmental policy-making and the labor market in developing countries, the negative impact of substitution effect and output effect is more profound. (3) The USA is an important contributor in this field, with the largest number of publications, followed by China. However, the average citation number of publications in China is 0.4 to that of US studies, indicating that the quality and influence of China's publications can be improved. (4) Among the academic cooperation in this field, Chinese scholars and American scholars have the closest cooperation. Scholars from developing countries, such as South America and Africa, rarely participate in international cooperation, with China being an exception. (5) The impact of environmental regulation on workers' wages and employment is the most popular topic in this field. (6) China and other developing countries will become research hot spots in the near future. This paper provides a summary of research methods in different areas of this field and identifies directions for future research. [ABSTRACT FROM AUTHOR]