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• A closed-loop material flow analysis model is established for China's pulp and paper industry (CPPI), followed by a comprehensive quantitative analysis from both retrospective and prospective perspectives. • By implementing sound plans and stricter regulations and standards, China has improved recycling and material use efficiency, reduced the organic material with wastewater, and shifted towards recovered paper as a raw material over non-wood fiber. • Lowering the waste paper recycling rate to increase carbon storage is not suitable for China, due to the limited virgin fiber and growing demand. • The growing paper demand requires efforts from both ends of virgin fiber supply and waste paper management towards the sustainable development of CPPI. As the largest global producer and consumer of pulp and paper, China faces significant sustainability challenges in fiber supply and waste paper management. A comprehensive material flow analysis of China's pulp and paper industry (CPPI) is needed to understand the interaction between raw material supply and waste paper management. Here, we construct a closed-loop material flow analysis model for CPPI, examine the evolution patterns of material metabolism from 1990 to 2019, and explore the demand for paper production, waste paper recycling, and virgin fiber supply in 2030 and 2050 under multiple scenarios considering critical factors. Results show that the industry has undergone rapid expansion, increased material use efficiency, and a shift towards recycled pulp from 1990 to 2019. China's paper demand will grow to 186 Mt in the next 30 years, resulting in a significant increase in both demand for fibers (173 Mt) and the generation of waste paper (138 Mt). To ensure a sustainable fiber supply for CPPI, domestic waste paper recycling needs to be prioritized. However, attention should also be paid to the availability of virgin pulp supply and proper disposal of organic solid waste. Proper management of these factors is crucial for achieving a circular economy in the industry and reducing its environmental impact. The findings highlight the importance of addressing both raw material supply and waste paper management for CPPI's sustainable development. [Display omitted] [ABSTRACT FROM AUTHOR]

Developing effective climate governance policies requires a comprehensive understanding of climate change's costs. However, the existing literature investigates the impacts of climate change on the private sector but neglects to evaluate the fiscal costs. Using fiscal data from Chinese county governments and meteorological data from weather stations from 1995–2019, this paper empirically examines the impacts of climate change, represented by changes in extremely high temperatures, on fiscal sustainability. Our results document that extremely high temperatures significantly increase fiscal expenditure and fiscal balance pressures on local governments. Mechanistically, extremely high temperatures have increased public demand for social and health spending, forcing local governments to increase expenditure. This paper reveals the substantial climate risks embedded in the fiscal sector. Local governments should incorporate the fiscal cost of climate change into their decision-making frameworks when making fiscal decisions and recalculate the costs and benefits of mitigation and adaptation policies. [ABSTRACT FROM AUTHOR]

There is now a growing interest in early-life influences on adult diseases in China. A number of birth cohorts have been established. This systematic review provided a better understanding of the development of mother–baby cohorts in China. Systematic review. We conducted a systematic review for research or profile papers in English/Chinese that reported data from mother–baby cohorts in mainland China, with ≥1y follow-up after birth. We identified 315 papers, corresponding to 31 cohorts from 19 provinces/megacities. All cohorts started in 1999–2017 (21 after 2010) and were set up with broad objectives or specific scientific focus. The baseline sample size varied, from <500 to >300,000 mothers. A majority of cohorts were initiated during pregnancy and followed children to <10y, only six to adolescence and none into adulthood. These cohorts mostly collected samples from mothers and babies, in addition to using interviews/questionnaires to collect information about pregnancy, birth and child health. Most cohorts were recruited from a single province/city. The large western region was understudied. Mother–baby cohorts have developed rapidly in China, but usually with a short follow-up duration. Extending the follow-up of children and developing cross-cohort collaboration will increase the diversity, size and coverage of the sample, allow studying early influences on life-course health and identify targets for early intervention in the Chinese population. [ABSTRACT FROM AUTHOR]

• Uses the staggered DID method to investigate the impact of culture on tourism. • The cultural system reform promotes tourism mainly by increasing domestic tourism revenues. • Analyzes the complex factors influencing cultural tourism. • Explores potential mechanisms by which the cultural system reform affect tourism. Culture is the cornerstone of regional tourism development, yet the impact of culture is difficult to quantify. This paper utilized a quasi-natural experiment to characterize the impact of culture on tourism. Based on the 295 cities data from 2000 to 2020, we adopted the Staggered Differences-in-Differences strategy to examine whether the Cultural System Reform (CSR) policy could stimulate tourism development. As a crucial component of the institutional reform framework in China, CSR is a pivotal policy aimed at exploring cultural productivity and fostering the development of culture in accordance with societal demands. The results show that the policy significantly increased the total tourism arrivals and the total tourism revenue. Mechanism analysis shows that the CSR policy boosted tourism development by improving service quality, public cultural infrastructure construction, and media integration development. Geographical conditions, tourism resource endowment, and transportation infrastructure also have an impact on the effectiveness of policy implementation. [ABSTRACT FROM AUTHOR]

This paper examines the linguistic landscape of refurbished historical streets to reveal the semiotic construction of antiquity and commodification of heritage. Based on signage data collected from four historical blocs in Shanghai, Hangzhou and Ningbo in East China, this study reveals how Chinese semiotic artifacts contribute to stylizing antiquity and reinvigorating the space of consumption. Results suggest that the fabricated historical streets sustain the tourism rhetoric of cultural pride and commercial profit by appealing to history, tradition, exoticism, and nostalgia. The study problematizes orchestrated heritage tourism and points to the use of English as potentially subversive in the Chinese linguistic landscape. • History is refabricated and commodified to satiate tourist desires. • Traditional Chinese language serves to authenticate ancient Chineseness. • Access to history-saturated semiotic resources is unequally distributed. • English potentially counteracts the spatial hegemony of historicity. [ABSTRACT FROM AUTHOR]

• Higher fertility rate induces more labor for childcare and thus crowds out labor for work. • The three-child policy slightly increases fertility intention. • The three-child policy increases emission abatement of the designed emission trading scheme. • In emission trading scheme, technological progress increases GDP and decreases total emissions. • The three-child policy strengthens technological impacts on GDP but weakens technological impacts on emissions. Although population growth plays a vital role in driving anthropogenic climate change, fertility impact on achieving mitigation target is usually overlooked in literature. This paper attempts to narrow the research gap by employing a Computable General Equilibrium (CGE) model to analyze the interrelations among fertility rate, fertility policy, and climate policy in China. The model results show that fertility rate negatively correlates with GDP and emissions because higher fertility induces more labor for childcare and thus crowds out labor for work. The three-child policy raises fertility intention; it does not unidirectionally influence the effects of the emission trading scheme (ETS) on employment and GDP, but it increases ETS emission abatement. Technological progress increases GDP and decreases emissions; the three-child policy strengthens technological impact on GDP but weakens technological impact on emissions. Hence, technological progress benefits emission mitigation; the three-child policy enhances economic benefits but impairs emission abatement of technological progress. [ABSTRACT FROM AUTHOR]

• A distribution dynamics approach is employed to examine the converge of TFEE across Chinese PAA level cities. • The findings show a clear convergence in TFEE. • Convergence comes more from efficiency drops in high TFEE cities than from efficiency gains in low TFEE cities. • The environmental protection polices in key cities improved energy efficiency. • Large-sized cities show better performance in energy efficiency than small- and medium-sized cities. Improving energy efficiency is considered the most direct route to reducing carbon emissions on a massive scale. To examine the long-run trend of China's energy efficiency, this paper employs a distribution dynamics approach to analyze the convergence of total-factor energy efficiency (TFEE) across 286 Chinese cities between 2002 and 2014. The result suggests the existence of convergence, which comes more from the efficiency declines in the high TFEE cities rather than the efficiency gains in the low TFEE cities. Despite the fact that a few cities have performed well in energy efficiency, the majority of cities have converged to a low-efficiency point. Further analyses show that the inefficiency was attributed to inefficient energy use in small- and medium-sized cities. Our analysis provides strong scientific support for China's ongoing energy conservation and environmental protection policies. [ABSTRACT FROM AUTHOR]

• Part of UN sustainable development goal 9 is upgrading production capabilities. • Increasing economic complexity is a key driver for sustainable economic growth. • Sequential model selection used for robust generalised method of moments estimation. • Chinese FDI evidently shows a positive impact on host countries' economic complexity. • Global policy makers should deepen their relationships with the belt and road. Upgrading the production capabilities in all countries is a target of the UN's 2030 Agenda for Sustainable Development Goal 9. Increasing economic complexity, that is, a country's ability to manufacture more sophisticated products and thus moving up the value chain, is a key driver for sustainable economic growth. This paper investigates whether Chinese Belt and Road investments have impacted the economic complexity of host countries — a topic not addressed in the literature to date, using a sequential generalised method of moments model selection approach. The research focuses on the countries whose economic complexities are below that of China. Our empirical results show significant positive effects of Chinese investments on such host countries' economic complexities. The inflows of Chinese investments have thus supported the upgrading of production capabilities in these countries. This is encouraging, especially for the Global South countries, to intensify their interactions with the Belt and Road initiative. [ABSTRACT FROM AUTHOR]

• We construct a multidimensional poverty index for chinese counties. • We establish a staggered DID model that controls for selection bias. • Highways significantly reduce county poverty. • The poverty-reduction effect of highways is conditional. • The poverty-reduction effect of highways diminishes with increasing altitude. This paper establishes a staggered difference-in-differences (DID) model to estimate the impact of highways on regional poverty using county-level panel data from China. We construct a multidimensional poverty index and use satellite-monitored night light brightness as a proxy indicator. The results demonstrate that highways significantly reduce county poverty and that the poverty reduction effect becomes increasingly pronounced over time. This result remains robust after controlling for non-random highway route selection. Furthermore, the poverty reduction effect of highways is conditional, with a significant poverty reduction effect in the less economically-developed western regions and non-municipal counties, and no significant poverty reduction effect in the economically-developed eastern and central regions and municipal districts. Moreover, the poverty reduction effect of highways gradually decreases as the average altitude of counties increases. Our tests provide empirical evidence for effective road investments in developing countries that incorporate poverty alleviation targets. [ABSTRACT FROM AUTHOR]

The Green Financial Reform and Innovation (GFRI) policy not only serves as a crucial tool for facilitating a comprehensive transition towards sustainable practices in economic and social development but also has a significant influence on the operational activities of companies. However, there is limited research on whether the GFRI policy can affect companies' overcapacity. To address this gap, we use data from the China Stock Market & Accounting Research Database and the Chinese Research Data Services Platform to evaluate the impact of green finance on companies' overcapacity. The results show that the GFRI policy can effectively alleviate companies' overcapacity. Moreover, the GFRI policy can alleviate companies' overcapacity by strengthening market competition, enhancing financing constraints, and promoting innovation. Further, the GFRI policy exerts a more pronounced effect on alleviating overcapacity in non-labor-intensive companies, companies in heavily polluting industries, and companies in regions with weak environmental supervision. This paper not only supplements the relevant literature on alleviating overcapacity but also provides more theoretical support for promoting a national green financial system in practice. [ABSTRACT FROM AUTHOR]

Conventional wisdom and evidence from democracies suggest that more education should increase voter turnout. This paper revisits this issue by analyzing turnout in China's rural elections. Employing an instrumental variable strategy, I find that more education reduces turnout in rural elections. I provide suggestive evidence that more educated people may face higher opportunity costs of voting, which explain about a quarter of cross-province variation in education-turnout links. I also discuss the role of other factors, including Confucian culture and election stakes. [ABSTRACT FROM AUTHOR]

In the context of climate change, innovative financing solutions and the rapid development of financial technology (fintech) offer great potential for the growth of renewable energy. Based on panel data from 30 provinces in China, this paper explores the impact of fintech on renewable energy growth by employing the instrumental variable-generalized method of moments (IV-GMM). We also pay attention to the nexus between fintech and renewable energy growth at different quantiles. This paper also explores the moderating role of the digital economy and the mediating role of green technological innovation. The main results indicate that (1) fintech positively affects renewable energy growth in China; (2) the positive effect between fintech and renewable energy is stronger in provinces with lower levels of renewable energy growth; (3) the digital economy, on the one hand, can significantly accelerate renewable energy growth; on the other hand, under the help of the digital economy, fintech can play a more effective role in increasing renewable energy growth; and (4) fintech indirectly promotes renewable energy growth by increasing the level of green technology innovation. The findings provide meaningful references for governments and policymakers and encourage the accelerated adoption of fintech in the sustainable energy sectors. • The role of financial technologies "fintech" on renewable energy growth is explored. • Fintech successfully stimulates the development of renewable energy. • The impact of fintech on renewable energy growth is asymmetric. • Digital economy facilitates the positive role of fintech in increasing renewable energy growth. • Green technology innovation is the path through which fintech affects renewable energy growth. [ABSTRACT FROM AUTHOR]

Intangible capital stock is an important variable of current concern for all sectors, which is a new driving force of innovation-driven economic growth. However, there is still room for improvement in the estimation method of China's intangible capital stock, and the analysis of the estimation results is not yet sufficient. For this purpose, this paper firstly re-estimates China's intangible capital stock using the CHS classification framework, especially in the estimation methods of software capital and scientific R&D capital, and makes a lot of improvements. Then, this paper uses not only the growth model but also the mediating effect model to classify the intangible capital in the CHS framework into explanatory and mediating variables of economic growth, and proposes that the explanatory variables are what drive new driving force of China's economic growth and the intangible capital stock estimated in this paper. Finally, this paper provides a detailed analysis of the changes, structure, and distribution of the explanatory variables. The results find that (1) software capital and scientific R&D capital are the new driving forces of China's economic growth; (2) China's national stock of current-valued intangible capital rose from 0.4 trillion yuan to 16.4 trillion yuan from 2001–2017, with software capital stock growing faster than scientific R&D capital stock; (3) Intangible capital stock is mainly distributed in a few regions such as Beijing, Guangdong, Jiangsu and Shanghai; (4) The structure of intangible capital in most regions is not reasonable, and there is a bias towards software capital or scientific R&D capital; (5) The rapid growth of intangible capital stock in Jiangsu and other regions is one of the reasons for their fast economic growth rate, while the slow growth of intangible capital stock in Heilongjiang and Liaoning has led to a decline in their economic growth rate. [ABSTRACT FROM AUTHOR]

Government protected areas are the most dominant governance type in the global network of protected areas, but in recent years, a lack of research compared to indigenous and private nongovernment protected areas has become evident. Consequently, community-inclusive conservation strategies consistent with the advantages of government protected areas are unclarified. Focusing on 49 households living at the Mount Huangshan World Natural Heritage Site in eastern China, this paper uses qualitative research triangulation to explain the causality between community exclusion and local distrust of the protected area and builds an explanation concerning the political and economic context. The questionnaire data analysed from the configuration perspective were corroborated with interviews and archival data, presenting innovative and enlightening findings. Lack of participation alone does not elicit local protests against biohabitat conservation, and government performance determines the trustworthiness of the government protected area. When local households are unaware of the government's efforts, a "trust paradox" in which the households that receive economic gains distrust government PAs emerges. This is caused by the social expectations of the "responsible government" and the survivorship bias of the households who manage to succeed in profiting. Induced or mandatory community participation is needed to strengthen the indigenous perception of the link between local development and government performance. This paper proposes a new strategy for socioecological goals that is consistent with the advantages of government protected areas, the most globally dominant governance type for protected areas and the type employed by the largest number of countries. • Underparticipation alone does not elicit local protest against biohabitat conservation of government PA. • Good government performance is a sufficient condition for the trustworthiness of government PA. • The "trust paradox" in which the benefited households distrust PA is due to the social expectation and survivorship bias. • Induced or mandatory participation generates trust in PA if community is broadly consulted on economic and social areas. [ABSTRACT FROM AUTHOR]

China has witnessed 556 million people migrating to urban areas over the past three decades with the process of urbanization, which has brought enormous pressure on electricity consumption and urban sustainable development. This paper establishes the generalized Divisia Index Decomposition Method (GDIM) model, and aims to reveal the electricity consumption mechanism of urban residents in China between 2000 and 2018. The results show that residential income, per capita electricity consumption and residential appliances are the main driving factors for the growth of urban residential electricity consumption, while the energy-saving willingness and expenditure structure have the inhibiting effect. With the expansion of urban residential income, the increase in income and air-conditioning numbers will continue to promote the growth of urban residential electricity consumption. Then, this paper puts forward relevant suggestions to alleviate the pressure of electricity demand and sustainable development from urban residents in China. [Display omitted] • The growth of power consumption in residential sector mainly comes from urban areas. • Establish GDIM model to decompose urban residential electricity consumption in China • Income has the greatest driving effect on urban residential electricity consumption. • Air-conditioning is the main source of the effect of household appliances. • Energy-saving willingness inhibits urban residential electricity consumption. [ABSTRACT FROM AUTHOR]

Based on the complex network of industry space, this paper investigates the industry structure optimization in Jiangxi Province in China. For the prefecture-level cities in Jiangxi Province, the location quotient is applied to obtain the specialized sub-industries. The conditional probability is used to analyze the interdependencies between industries. The complex network of industry space is presented to illustrate the relatedness among industries and analyze the space and structure of the regional overall industry. The index of transitional potential is proposed to measure the potential of a non-specialized industry which will become a specialized one in the future. The transformation difficulty index of industry is obtained to analyze the difficulty level of the transformation of the original specialized industry set to a new specialized one of a city. The results show that more industries have positive than negative interdependencies with one another in Jiangxi Province; rare industries specialize in cities at higher-level GDP, and common industries dominate the cities at lower-level GDP; it is more difficult for rarer non-specialized industries to become specialized ones, more common non-specialized industries can become specialized ones more easily, and the cities with higher GDP can transform industries more easily. By discussing the industries that have positive interdependencies with existing specialized industries, the detailed direction of industry structure optimization is analyzed. Finally, the policy implications are proposed, and these can be applied to other developing countries. • The conditional probability is used to analyze the interdependencies between industries. • The complex network of industry space is presented to illustrate the relatedness among industries. • The index of transitional potential is used to measure the potential of a non-specialized industry becoming specialized. • The transformation difficulty index is the difficulty level of the transformation of the originally specialized industry. • The industry structure can be optimized by developing the industries that have positive interdependencies with existing specialized industries. [ABSTRACT FROM AUTHOR]

This paper examines the effect of bilateral air connectivity on bilateral service trade flows. Our service trade data includes 'commercial', 'transport', 'travel', and 'government' services. We developed a reduced-form gravity-type model using the Chinese data. An instrument variable (IV) approach is adopted to address the endogeneity issue between bilateral air connectivity and the service trade variables. Our key results are: (a) increasing the number of direct routes can significantly promote bilateral service export and import trades; (b) the average route-level traffic density has only marginal positive effects; (c) improving air connectivity would enlarge China's overall service trade deficit, because the transport and travel services imports are promoted more than their exports; (d) The 'commercial' service exports can be stimulated more than the imports, making China achieve larger commercial service trade surplus by improving bilateral air connectivity. •Increasing the number of direct air routes significantly promotes bilateral service trades in China. •Improving air connectivity enlarges China's overall service trade deficit. •Enhancing bilateral air connectivity stimulates China's commercial service exports more than imports. •China's growing international air transport, facilitated by the Belt-and-Road Initiative, has had a substantial impact on bilateral service trade. [ABSTRACT FROM AUTHOR]

Amidst economic downturn pressures, major countries emphasized the manufacturing industry and increased research and development (R&D) investments to realize innovation in manufacturing. Manufacturing enterprises are the main performers of R&D investments, so it is imperative for policymakers to accurately evaluate the policy effect of different industrial tendency and policy intensity on growth. The impact of the overall R&D expenditure on macroeconomy or the effectiveness of enterprises' R&D investment on business profit has been reported in a great deal of literature, but so far, the impacts of enterprises' R&D have little been experimented at the macro level and industrial level. This paper improves the knowledge production function and structured a regional dynamic computable general equilibrium model to simulate the multi-dimensional macroeconomic impact of enterprises' R&D investment. The results show that enterprises' R&D investment has a significant role in promoting economic output, residents' welfare, price control, and international trade, and its impact is declining over time. The impacts of enterprises' R&D on different industries are heterogeneous; industries with lower knowledge capital are more sensitive to R&D investment. These findings contribute to the effectiveness of R&D policies. [ABSTRACT FROM AUTHOR]

This paper explores the presence of regional heterogeneity in the response of inflation to changes in the output gap in China. We estimate the slope of the provincial Phillips curve for four different price indices using quarterly data over the period 2000–2022. The presence of regional heterogeneity is tested by comparing a fixed effects and a mean group estimator. Heterogeneity in the provincial slope is confirmed robustly only in the case of the CPI with around half of provinces exhibiting a positive coefficient. Our findings point to the share of industry and market advancement as significant contributors to the sensitivity of inflation to provincial demand shocks. Moreover, we reveal a relatively low correlation between the national and provincial output gaps as well as inflation rates, which suggests that regional heterogeneity diminishes the effectiveness of unitary monetary policy that targets CPI inflation. [ABSTRACT FROM AUTHOR]

The use of hydrogen fuel cell vehicles is an important way to achieve carbon emission reduction in China's commercial vehicle field. The development of the hydrogen automobile industry needs policy guidance. To determine the characteristics and effects of China's hydrogen automobile industrial policy, this paper first uses a text mining method to analyze policy characteristics from three aspects: potency rank, policy subject and policy objectives. Then, from the perspective of policy tools, a policy quantitative system and standards are constructed to quantify the policy. Then, the sales data of hydrogen fuel cell vehicles from August 2018 to December 2022 were collected to empirically analyze the effect of the policy. The results showed that policy comprehensiveness significantly promoted the use of hydrogen fuel cell vehicles, but the effects of the different policy tools differed. Finally, some policy suggestions are proposed for the development of the hydrogen automobile industry. • China's hydrogen vehicle industry policy focuses on technology upgrading and application demonstration. • The use of hydrogen fuel cell vehicles is the most concerned industrial chain link in the policy. • Policy comprehensiveness has a significant positive effect on the promotion of hydrogen fuel cell vehicles in China. • Different policy tools play different roles, with supply-based policy tools and demand-based playing a more prominent role. [ABSTRACT FROM AUTHOR]

Schizophrenia occurs worldwide, and the health, and economic burden is substantial. As one of the common proxies of socioeconomic status (SES), education was reported to be associated with the risk of developing schizophrenia. However, there is no causal evidence about the relationship. This paper explores the health benefits of college education for schizophrenia. Based on exogenous variation in college enrollment across regions and cohorts induced by college enrollment expansion policy, we use instrument variable (IV) estimate strategy to estimate impacts of college education on the risk of schizophrenia with the data from Second National Sample Survey on Disability. We find that college education reduces the risk of developing schizophrenia by 4.2 percentage points. Some further analyses suggest the causal protective effect is only found among men, rural, and low-income individuals. These findings provide new evidence for the causal relationship between college education and schizophrenia, and add to the literature on the health benefits of education. [ABSTRACT FROM AUTHOR]

Rural China is experiencing rapid socioeconomic transformations, including suburbanisation and rural gentrification. In this paper, we argue that to understand these processes, we have to take into account the changes in rural land rights. Based on an analysis of a pilot case for China's rural collective commercial construction land (RCCCL) reform policy at the edge of Chengdu City, we demonstrate how state-led rural land reform paves the way for stealthy land dispossession and rural gentrification. Our argument in this paper is threefold. First, given the entrenched collective land use rights of rural villagers in China, state-led land commodification, is a necessary condition for rural gentrification in China. Secondly, the prospect of capital accumulation through rural gentrification motivates entrepreneurial public and private actors to promote such reforms in ways that dispossess rural peasants and peasant collectives of their land (use) rights. Thirdly, the particularities of dispossession through state-led land reform result in particular experiences of displacement and displacement pressure on the side of affected rural communities. Our findings contribute to the decentring of rural gentrification theory, in that they underline the necessity to include the particular histories of land commodification and dispossession in our understanding of rural gentrification in contexts where rural land is partly or wholly shielded from market influences. In the case of China, dynamics of rural gentrification are blurring the rural-urban boundary on three dimensions: political economy (land use governance), material infrastructure (landscape and residential architecture), and socio-cultural practices (rural livelihoods and identity). • Rural land regimes structure peri-urban development in China. • Land commodification is a precondition for rural gentrification in China. • Original villagers are dispossessed and displaced. • Rural gentrification blurs the rural-urban boundary in terms of land use (rights), landscape and social relations. [ABSTRACT FROM AUTHOR]

Background: As a key indicator to measure the mental health status, psychological security level of Chinese college students and its changes over time are of great value to examine.Methods: A cross-temporal meta-analysis was performed using papers that measured the psychological security level of Chinese college students using the Security Questionnaire between 2006 and 2019. In addition, a time lag analysis was conducted to define whether the selected macro social indicators can explain the changes in the psychological security level.Results: A total of 58 papers involving 28,352 Chinese college students were included in the final sample. The results revealed that scores of psychological security and its two factors were significantly negatively correlated with the year. Scores of psychological security and its two factors were significantly associated with five social indicators of economic condition (residents' consumption level), social connectedness (divorce rate, urbanization level) and overall threat (college enrollment rate, crime rate), suggesting that social change may account for the decline in psychological security level of Chinese college students.Limitations: The underlying mechanism is only discussed at a theoretical level. Thus, future studies can collect the relating empirical evidence to test the proposed theoretical model.Conclusions: Our study revealed a decreasing trend of Chinese college students' psychological security level across time, which was associated with macro-social changes in diverse areas. In addition, combined with the corresponding macro-social indicators, a three-dimensional theoretical framework is proposed to explain the psychological security for college students as a group. [ABSTRACT FROM AUTHOR]

• The paper studies the interplay between labor agency and socio-spatial formations. • Chinese state-owned enterprise reform led to workers' employment (im)mobilities. • Individual motile subjectivities are integral to workers' disparate (im)mobilities. • Driven by motile subjectivities, workers further act on socio-spatial formations. This paper explores the interplay between labor agency and the socio-spatial structure of Chinese state-owned enterprises (SOEs) in the context of globalization. Drawing on Coe & Jordhus-Lier's theorization of constrained labor agency with insights from new mobilities paradigm, we develop the concept of motile subjectivity to explain the multiplicity of constrained agency and workers' different employment practices intervened in SOE socio-spatial formations. Based on field research conducted in SOEs in the Northeastern provinces of China, our analysis unfolds that workers' motile subjectivities mainly drive three threads of employment practices, namely demission, positional promotion, and part-time work, which involve workers' variegated mobile and immobile experiences. These (im)mobilities affect workers' ongoing social and spatial practices and further conjoin with the reproduction of SOE socio-spaces with both manifestations of stable danwei and multi-scalar modern enterprises. Our study contributes to labor geography scholarship by theorizing the actualization of workers' motile subjectivities in SOE socio-spatial formations. It also provides insights for future SOE studies to seriously consider workers' motile subjectivities. [ABSTRACT FROM AUTHOR]

The slowdown in China's economic growth in the past decade has forced many migrant workers to return or plan to return to their rural hometowns temporarily. Extant studies on intergenerational mobility pay less attention to temporary migrant households. This paper investigates how migrant father's return intention influences children's educational outcomes and permanent incomes using a high-quality nationwide dataset of China (CLDS2012-2018). It finds that though there is no significant correlation between fathers' and children's educational attainments, the higher the return probability of the father, the less educational investment he would make in his child. This paper contributes to the literature in two ways: theoretically, it provides a new perspective to observe the intergenerational mobility of migrant workers; and methodologically, it corrects life cycle bias by controlling for the ages of fathers and children and using multi-year mean incomes. [ABSTRACT FROM AUTHOR]

Although energy poverty has obtained wide focus in recent years, there is no consensus on the measurement of energy poverty. Given that China is experiencing socio-economic transformation as well as energy transition, this paper employed a total of 28 indicators, which representing three categories (energy service availability, energy consumption and generation cleanliness, and residential energy affordability and efficiency) that capture China's features as well as consider policy factors, to develop a new multi-dimensional energy poverty index by using entropy weight method. The result reveals that the energy poverty level has been improved nationwide for the period 2014–2019; three sub-indices also show downward trends while household energy affordability and efficiency suggests the fastest improvement; however, significant differences exist in energy poverty not only between urban and rural areas but also across provinces in China. Policy recommendations are as follows: continue to promote rural power grid renovation and upgrading and the construction of natural gas pipelines, increase clean energy support; encourage diversified development of rural energy supply methods, and provide more innovative and diversified green energy and financial products. • An integrated energy poverty index system for China was established. • A total of 28 indicators used in this paper are applicable to China's features as well as considering policy factors in China. • The energy poverty level has been improved nationwide from 2014-2019, and all three sub-indices show downward trends, but varies greatly between urban and rural areas and across geographic regions [ABSTRACT FROM AUTHOR]

The paper contributes to the literature on rural gentrification by incorporating empirical evidence from amenity-poor rural areas in the developing world. While current literature on rural gentrification has largely focused on the gentrification process in amenity-rich rural areas, the present study examines rural gentrification process in a historically polluted county in Chengdu, Sichuan Province, China. The gentrification process features a holistic transformation of farmland into an artificial landscape, thereby segregating gentrifiers from both polluted rural space and unwelcoming urban space. The paper attributes the rise of holistic gentrification to state-initiated farmland concentration, and to the gentrifier developers' practices of redefining rurality as immersive resort experiences. The paper concludes that the holistic gentrification was conducive to job losses in both the recreation and agricultural sectors, consequently reducing peasant households to a state of passivity and dependency, while collective actions against gentrifier developers were ineffective owing to highly skewed power dynamics. • Holistic gentrification transforms large-scale farmland into scenic rural resorts in amenity-poor rural areas in China. • Holistic gentrification is caused by national peasant relocation programs. • Gentrifier developers redefine rurality as immersive resort experience. • Holistic gentrification is conducive to local job losses in recreation and agricultural sectors. [ABSTRACT FROM AUTHOR]

• HSR affects air traffic directly and indirectly via airfare adjustment. • Airfare plays different roles in competition, feeding and long-term effects. • HSR quality and pre-entry airline market structure affect airfare adjustment. • Feeding effect dominates competition effect, causing more airline CO2 emissions. • Airfare adjustment mitigates HSR-induced air traffic and airline CO2 emissions. Airfare reduction is proposed by a theoretical paper to be a possible source of observed air traffic increase in some markets where high-speed rail (HSR) enters and competes with airlines. This paper aims to empirically test whether and to what extent the air traffic impact is channeled by the adjustment in airfares. To understand the varying empirical results found in the literature, we examine heterogeneous airline responses in traffic and airfare in relation to HSR qualities measured by HSR-air travel time difference and pre-entry market structure of airline as well as decompose HSR impacts into competition, feeding and long-term effects. Using a panel dataset of Chinese air routes, we find that airfare adjustment plays crucial roles in channeling HSR's air traffic impact. Our estimation suggests that HSR introduced over 16.5 million additional passengers to the sampled air routes in our study period, generating 2.17 million tons of extra CO2 emissions from air flights. However, these numbers would increase to 32.2 million additional passengers and 3.4 million tons of extra CO2 emissions after removing the price adjustment. [ABSTRACT FROM AUTHOR]

• This paper investigates the concept of suzhi in the context of museum education in China. • Prior research mostly focused on the realisation of suzhi education in formal schooling. • Findings indicate that visitors and museum professionals buy into suzhi in museum practice. Suzhi education, as a long-term promoted slogan, has been promulgated for over two decades by the Chinese government. There is a heated debate over its meaning, utilisation and evaluation, which is important in comprehending China's recent educational reform. The current discussion tends to concentrate on the politically and institutionally embodied educational reforms in school settings, whereas how the suzhi discourse informs and reshapes informal/non-formal educational settings like museums remains scarce. Drawing on these gaps, this paper presents a deconstruction of suzhi discourse in a major Chinese museum, by exploring how the promoted suzhi discourse has influenced the educational practices at cultural institutions. It further examines the practices and experiences of participants through the notion of suzhi. The study finds out that the museum practice is deeply affected by this notion and participants buy into the idea, fostering its impact across different life stages and generations in various ways. [ABSTRACT FROM AUTHOR]

While global production networks stress the role of lead firms, state entrepreneurialism highlights the role of the state in governing innovation-driven development. However, there is a gap in understanding how the state institution configures and operates to achieve its strategic development goals. This paper fills this gap by examining market means of park management. It shows that Zhangjiang Science City in Shanghai reinvented its development agency – a park development corporation to mobilize finance and govern development. Jiangbei in Nanjing focused on coupling with a multinational lead firm – the Taiwan Semiconductor Manufacturing Company. Rather than thinking of innovation governance as state-commanded, we reveal they are market-based operations. At the same time, they extend the state capacities into industrial governance. • A timely study of governing economic development under geopolitical challenges and in innovation spaces. • Builds a conceptual framework to comprehend state strategies and market mechanisms for China's innovation-driven development. • Fills the gap in understanding how the state institution configures and operates to achieve its strategic innovation goals. • Contributes to state entrepreneurialism by focusing on how innovation as a political agenda is achieved by market means. • Rather than thinking of innovation governance as state-commanded, this paper reveals that they are market-based operations. [ABSTRACT FROM AUTHOR]

Building sustainable cities and communities is a key priority of the Sustainable Development Goals. However, the spatial mismatch of construction land (SMCL) poses a significant challenge to sustainable urban development. This paper presents a new framework for measuring the SMCL from the dual perspectives of planning deviation (PD) and economic mismatch (EM). Using a minimum deviation estimation model, a land-comparable correction method, and the extended HK model, this study focused on 285 cities in China from 2002 to 2021. The results revealed that the PD exhibited an "N"-shaped fluctuating trend, reaching a peak of 27.63 km2 in 2011, with the deviation direction generally characterized by over-planning allocation followed by lack of planning allocation. The eastern region had the highest PD, with an annual average of 35.06 km2, followed by the western region. In contrast, the central and northeast regions had relatively low PD. The EM fluctuated in a "W" shape, with an annual average of 0.37. The direction was always dominated by economic over-allocation and complemented by economic under-allocation. There was also heterogeneity in EM across regions. Furthermore, both PD and EM differed considerably between cities by size. In 2021, most cities in China still existed PD or EM, but EM was more widespread and severe. This indicated that SMCL was still a serious issue in China, and there was still a long way to go to achieve the vision of sustainable allocation of construction land. This paper enriches the relevant literature on SMCL and provides a decision-making reference for governments to implement optimal land allocation. • Provide a new framework for measuring spatial mismatch of construction land (SMCL). • Apply the framework to study the SMCL in 285 Chinese cities in 2002–2021. • Planning deviation (PD) or economic mismatch (EM) existed widely in Chinese cities. • EM is more serious and the pattern of land development needs to change urgently. • The vision of sustainable land allocation in China still has a long way to go. [ABSTRACT FROM AUTHOR]

Global environmental problems are worsening. Among various regulatory measures, market-oriented approaches are most favored by governments worldwide. Using provincial panel data from 2004 to 2020, a multi-period DID model was hereby constructed to empirically study the pollution reduction effects of the pilot policy for carbon emissions trading in China. Findings of this paper could be listed as follows: (1) The pilot policy has achieved notable reductions in waste gas and solid waste, although its effect on wastewater pollutants has been less pronounced; (2) Pollution reduction in the pilot regions can be achieved by optimizing the energy consumption structure; (3) Significant variations in pollution reduction effects are observed between the Northern and Southern pilot regions, with notably stronger policy effects in the north across various pollutants compared to the south. Overall, this paper offers pertinent policy recommendations to aid the Chinese government in enhancing its carbon market. [ABSTRACT FROM AUTHOR]

Through a study of the behaviour of already debt-ridden local governments in response to the Made in China 2025 policy, this paper explores whether local governments prioritized State interests over local interests, when their financial involvement was required. Deploying a panel data analysis for more than 280 prefectural-level cities, this paper finds that, despite having been subject to an "Administrative Subcontract" arrangement under which the Central Government appoints top local officials, local economic/debt interests were prioritized over national policy implementation under fiscal decentralization. Instead of promoting infrastructure development, the Made in China 2025 policy provided an opportunity for local governments to raise capital via Local Government Financing Vehicles (LGFV) primarily for debt refinancing, despite the State's numerous attempts to control the growth of local government/LGFV debt. Some policy implications concerning i) the effectiveness of national policy implementation on local levels under "Administrative Subcontract" and ii) the debt situations of prefectural-level Chinese cities and their effects on China's economy in general are then discussed. • National policy required local government investment under fiscal decentralization. • Local leadership faced with dilemma between career prospects and mounting debt. • Prefectural-level cities prioritized local interests over State interests. • The Made in China 2025 policy triggered further accumulation of local debt. [ABSTRACT FROM AUTHOR]

The extent and mechanisms of the influence of cultural factors on China's population flow have yet to be fully revealed compared to the influence of other factors, such as the level of socioeconomic development. From a network perspective, this paper examines the influence of cultural ties represented by dialect similarity on the tie formation and strength of China's population flow networks. The results are as follows: during the Spring Festival travel rush, dialect similarity increases the probability of tie formation but doesn't influence the strength of ties in China's population flow networks in 2019; however, dialect similarity hinders the tie formation and the increase in the flow intensity in the change of China's population flow networks from 2019 to 2022. During the daily period, more similar dialects between the two cities increase the likelihood of forming network ties and exhibiting stronger levels of population flow in 2019; dialect similarity significantly facilitates tie formation, but it does not affect the flow intensity in the change of China's population flow networks from 2019 to 2022. The results reveal the different influencing effects of dialect similarity in different periods, which is important for revealing the influence mechanism of cultural ties on population flow. • This paper examines the influence of cultural ties on the population flow networks in China in 2019–2022. • The dialect similarity represents the cultural ties. • Binary and valued exponential random graph model (ERGM) and stochastic actor-oriented model (SAOM) are applied. • Cultural ties have different influences on the population flow networks and their changes during different periods. [ABSTRACT FROM AUTHOR]

This paper combines the meta-frontier analysis framework with the SBM-DEA model based on undesirable outputs to thoroughly reveal the mechanism of ecological efficiency differences in China's mariculture. This paper accurately identifies the weak links in ecological efficiency in various regions, thereby achieving a precise evaluation of mariculture ecological efficiency within the framework of technological heterogeneity. The results indicate that under the meta-frontier, the annual average ecological efficiency of mariculture in coastal areas of China during the sample period is 0.586, with a 41.4 % efficiency improvement space. However, under the group frontier, the annual average ecological efficiency is 0.783. The MEI in the BR economic zone and the YRD economic zone respectively stem from MI and TI, whereas in the PRD economic zone, the difference in the proportions of management inefficiency and technological inefficiency is not significant. Finally, this paper proposes four types of improvement paths. • Adopt a model combining meta-frontier analysis and SBM-DEA with undesirable outputs • Reveal the differences and mechanisms in China's mariculture ecological efficiency • Propose four improvement paths for different Chinese provinces • Emphasize promoting coordinated development of mariculture resources and ecology • Offer empirical & theoretical support for tailored mariculture efficiency strategy [ABSTRACT FROM AUTHOR]

Using exogenous variations associated with the introduction of China's Labor Contract Law, this paper investigates whether and how employment protection affects stock price crash risk. We document evidence of a significant increase in future stock price crash risk by 48 %, at least for those most affected firms relative to those least affected following the law's introduction. Further analysis suggests that the positive relationship is more pronounced for firms with low-cost elasticity, high labor expenditure, and low firm profitability, for firms facing more asymmetric information, firms with weak corporate governance, non-state-owned enterprises (SOEs), and firms in regions with relatively weak labor protection. Taken together, our study highlights the importance of employment protection in shaping corporate behavior. [141 words] [Display omitted] • Using China's Labor Contract Law, this paper investigates whether and how employment protection affects stock price crash risk. • We document evidence of a significant increase in future stock price crash risk by 48 %. • More pronounced for firms with low-cost elasticity, high labor expenditure, and low firm profitability. • More pronounced for firms with more asymmetric information, weak corporate governance, SOEs, and weak labor protection. [ABSTRACT FROM AUTHOR]

Background: Major depressive disorder (MDD) is a major psychiatric disorder with increasing research intensity. However, papers written in languages other than English are less accessible to international readers. This study examined the bibliometric features of English and Chinese language research papers about major depressive disorder in China.Methods: The Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) databases were searched for eligible studies. Authorship collaboration networks and keyword co-occurrences were estimated and visualized.Results: There were 2,220 and 63,306 publications on MDD in the WoS and CNKI between 1990 and 2021, respectively. The number of papers increased annually during the period. For papers written in English, the Journal of Affective Disorders (201; 9.05 %) had the highest activity and the Shanghai Jiao Tong University had the most publications (232; 10.45 %). For papers in Chinese, the highest activity was with the Journal of Clinical Psychiatry (1,025; 1.62 %) and the Beijing University of Chinese Medicine (1,098; 1.73 %). Xiang YT (68; 3.06 %) and Yuan YG (179; 0.28 %) were the most productive authors in the English and Chinese languages, respectively. Keyword analysis showed that English and Chinese publications differed in emphasis (English: related psychiatric conditions, study design, clinical aspects, and assessment instruments; Chinese: somatic comorbidities, antidepressants, related psychiatric conditions, treatment of depression, and electrophysiological).Conclusions: The number of scientific papers on MDD increased yearly, and Chinese authors writing in English have an increasing influence. Except for a few authors, productivity and influence were dominated by national universities and specialized medical universities. [ABSTRACT FROM AUTHOR]

Across the globe, the ongoing development of transportation and communication technologies has produced growing possibilities for the mobility of people, ideas, objects, and knowledge. In China, government policies, including economic reforms and targeted migration strategies, have resulted in the relocation of millions of people within and between urban and rural areas. Recently, however, there has been an important 'mobility shift' from the production-focused migration of peasants and factory workers to more diverse forms of consumption-focused mobility. This appears to be something different from traditional forms of tourism, but more research is needed. In particular, it is important to consider who these individuals are, what motivates them, and whether they are leaving the urban for the rural or constructing hybrid spaces, mobilities, and lifestyles. This paper examines the nature of urban-rural mobilities in China through the case of China's Rural Tourism Makers (RTMs). Drawing on fieldwork in four RTMs' Model Bases, including 131 interviews and participant observation, it demonstrates how mobilities are being practiced 'on the ground'. The paper argues that the binaries between production and consumption and between urban and rural break down as RTMs are both middle-class consumers and creative-class producers who continually move between urban and rural for personal and professional reasons. In so doing, the paper nuances our understanding of mobilities within China, the practices and locational choices of creatives, and post-productivist theorizations of rurality. • This paper addresses urban-rural mobility in China by studying Rural Tourism Makers (RTMs) as newcomers to rural China. • RTMs are both middle-class consumers and creative-class producers. • Creativity for RTMs is both a means of generating income and a means of consuming the rural. • RTMs represent a new form of urban-rural mobility. [ABSTRACT FROM AUTHOR]

This paper investigates how China's long tradition of wetland rice farming affects contemporary cooperative behavior. We exploit a discontinuity in rice farming generated by a natural geographic boundary in China and find a significant positive impact on cooperative behavior today. An increase in the percentage of farmland devoted to rice farming significantly increases the frequency of mutual help in terms of borrowing and lending money, caring for each other's family members, and helping each other with job seeking and house construction. We identify cultural transmission, labor exchange and irrigation networks as the likely driving forces behind this phenomenon. [ABSTRACT FROM AUTHOR]

[Display omitted] • The environmental effects of nuclear and geothermal energy are explored. • The Novel Quantile ARDL method is employed for the period 1990Q1-2019Q4. • Nuclear and geothermal energy raises the environmental footprint at the majority quantiles. • Urbanization contributes to a sustainable environment only with low environmental degradation. • Agricultural-based activities reduce the environmental footprint in the long run. The global issue of atmospheric variations and global warming caused by diverse anthropogenic behaviors is a global concern. There is apprehension about preserving an uncontaminated atmosphere and attaining optimal nuclear and geothermal energy utilization with agriculture sector development. In this regard, this paper investigates the influence of nuclear energy, geothermal energy, agriculture development, and urbanization on carbon emissions and ecological footprint from 1990Q1 to 2019Q4 in the case of China. The findings of unit root tests reveal that all variables are stationary at first integration order, and cointegration test findings confirm the presence of long-run relationships among series. The quantile autoregressive distributive lag (QARDL) method findings demonstrate that nuclear energy, geothermal energy, and urbanization statistically correlate with CO2 emissions and ecological footprint across all quantiles, indicating that these determinants have contributed to environmental degradation. Whereas agricultural development has a statistically significant and negative influence on the environment, implying that agriculture has a pollution-mitigation impact. Based on these empirical findings, several policy implications are presented to preserve environmental quality to achieve the 2030 Sustainable Development Goals (SDGs) target. [ABSTRACT FROM AUTHOR]

The impact of tax enforcement on innovation is examined in this research. This paper employs the merger of Local Tax Bureaus (LTBs) and State Tax Bureau (STB) in 2018 as an exogenous shock to stricter tax enforcement. We find that stricter tax enforcement can foster innovation within firms. A mechanism analysis shows that the enhancement in a firm's innovation is motivated by the increased governance level, that is constraining the bribery and violation behavior of managers, motivated by stricter tax enforcement. According to heterogeneity research, this effect is more significant in SOEs and firms with weaker internal governance (i.e., firms with weak internal control and less independent directors) and firms with poor external governance environment (i.e., firms with lower media attention). Overall, this study empirically examines how tax enforcement affects innovation, which is crucial for boosting productivity and promoting economic growth. [ABSTRACT FROM AUTHOR]

Using data from Chinese commercial banks from 2008 to 2018, this paper explores the effects of bank FinTech on stability (i.e., bank stability). We first construct and measure a bank Fintech index and then examine the relation between bank FinTech and stability. We argue that bank FinTech affects stability from two aspects: bright effects and dark effects. The results show that the dark effects prevail over bright effects, that is, bank FinTech decreases bank stability. Specifically, a one-standard-deviation increase in bank FinTech is associated with a 14.2 % reduction in bank stability. Our results also show that bank FinTech increases stability by improving risk control and increasing net interest margin (i.e., bright effects), whereas bank FinTech increases non-interest activities, and thus reduces stability (i.e., dark effects). Second, the negative impacts of bank Fintech on stability are weaker in state-owned banks. Third, as time progresses, the negative effects of bank Fintech become weaker. Finally, when we examine five subareas of bank FinTech, we find that artificial intelligence technology and big data technology increase bank stability, but internet technology reduces bank stability. Our main results pass a series of robustness tests and endogeneity issues. [ABSTRACT FROM AUTHOR]

Carbon dioxide (CO 2) emissions and climate change risk have become constraints on global economic sustainable development. Environmental regulation (ER) is a key method for achieving synergy in CO 2 and pollution reduction in China. This paper is the first study to explore the effects of ER on CO 2 emissions by exploiting the National Environmental Protection 11th Five-Year Plan (NEP11-FYP). The implementation of the NEP11-FYP significantly decreases CO 2 emissions by 19.73% in key environmental cities relative to other cities. Heterogeneity analyses suggest that this negative impact is larger in western cities and cities with more pressure to reduce CO 2 emissions. Scale effects, structural effects, and technical effects might be three potential influencing channels through which ER contributes to the CO 2 reduction effect. In addition, the results of the spatial externality of the NEP11-FYP demonstrate a positive spillover effect in neighboring cities within a distance of 300 km and a negative spillover effect in cities more than 500 km away. Our empirical findings provide policy implications for implementing low-carbon transition strategies and reducing CO 2 emissions. [ABSTRACT FROM AUTHOR]

This paper examines the impact of policy uncertainty on air pollution, using the turnover of local officials in China as a quasi-natural experiment. The results from the two-way fixed effects model show that policy uncertainty caused by the turnover of different officials produces contrasting effects on air pollution. While the turnover of the mayor has no effect on air pollution, the turnover of the municipal party committee secretary deteriorates it. Two-Stage Least Square estimation confirms these results where the age and tenure of officials were used as instrumental variables of policy uncertainty. The results are robust after endogenous treatments and robustness tests. The mechanism analysis further indicates that policy uncertainty worsens air quality by weakening environmental regulation and crowding out green innovation. Moreover, the impact is more pronounced in smaller and less developed cities. The conclusions provide policy implications for environmental governance in the period of policy uncertainty. [ABSTRACT FROM AUTHOR]

In recent years, China's fertility rate shows a declining trend with rapid urbanization and increasing housing prices. Based on the China General Social Survey (CGSS) data, for the first time, this paper investigates the effect of housing status on the two-child fertility willingness of China's floating population using a Probit model combined with the propensity score matching method and the instrumental variable method. The results show that the floating population with self-owned housing has a significantly lower two-child fertility willingness than those living in rented housing. This finding remains robust after addressing the potential endogeneity problem. Moreover, the effect of housing status on the two-child fertility willingness of floating population varies with demographic characteristics. Furthermore, the heterogeneous analysis indicates that the floating population with two or more self-owned housings have higher two-child fertility willingness than those who have only one self-owned housing or who live in rented housing. The married without children and living in self-owned housing have lower two-child fertility willingness than the married with one or more children and living in self-owned housing. [ABSTRACT FROM AUTHOR]

This paper examines the impact of extreme precipitation on Chinese industrial output and its total factor productivity (TFP) using data from the annual survey of industrial firms (ASIF) and daily weather data. The findings demonstrate a significant reduction in industrial firm output as a result of precipitation, with extreme daily precipitation decreasing output by approximately 1.22%. We provide an explanation for this precipitation-industrial output relationship from four perspectives: per capita wages, labor productivity, inventory, and depreciation. The effects of extreme precipitation are more pronounced in high-income and high-precipitation regions, as well as among foreign firms and low-technology firms. Our research suggests that extreme daily precipitation poses a serious obstacle to the development of the manufacturing industry. These results are crucial for understanding the economic impact and concealed costs of climate change, highlighting that extreme precipitation should be recognized as one of the primary sources of damage associated with climate change in the future. [ABSTRACT FROM AUTHOR]

• This review gives panorama of heritage digitization in China and categorizes digital twin techniques into six levels to address three specific tasks. • Terrestrial LiDAR and VR are the most prevalent digital twin technologies for decades, while sensor-based monitoring is recently prompted by policy incentives and legislations. • Most digital twin projects are dominated by public sectors, i.e., cultural management authorities, universities, and research institutes. • Efficient data utilization and the seamless integration of diverse data sources within cross-disciplinary collaborations are still challenging. Recent decades have witnessed digital twin as a toolkit to collect, process, and utilize graphical, spatial and other attribute data of cultural heritage. It has been widely applied on cultural world heritage sites in China, which have significant differences in ages, types, materials, and history of maintenance and conservation. Although specific cases are reported previously, a comprehensive overview is still lacking. This paper explores the association between digital twin and heritage conservation, classifying digital twin techniques into six levels to tackle three tasks: data acquisition, visualization and application. It systematically reviews Chinese heritage digitization practices, considering variations in complexity and purposes, and demonstrates typological and chronological characteristics as well as the composition of stakeholders. [Display omitted] [ABSTRACT FROM AUTHOR]

The price of photovoltaics (PV) has been steadily decreasing over the last decade, and many reports suggest that PV has become considerably cheaper than conventional electricity sources. In this paper, we critically evaluate the PV grid parity and use China as a case study. China is an interesting case study due to the wealth of data combined with the recent decrease in financial subsidies. Electricity costs are commonly compared in the literature using levelized costs of electricity (LCOE). However traditional LCOE analyses neglect important cost factors that are specific to PV, in particular the cost of grid integration. Here, we demonstrate that system LCOE calculation more accurately estimates the grid parity of PV. We find that the integration costs account for 15% of the total system costs, which cannot be neglected with the higher penetration of PV in the electricity system. Further, provincial grid parity indexes are greater than 1, indicating that the grid parity from a system LCOE perspective has not yet been achieved. The learning rate of Chinese PV is still relatively small, and we estimate that grid parity for PV in China will be achieved between 2020 and 2032, depending on the region. These findings shed new light on assessing grid parity of PV systems by considering relevant local parameters and thereby offer an assessment method framework and prediction modeling for assessing grid parity of PV installations. • This paper assesses PV's commercial feasibility in the current electricity market. • Grid parity is estimated using a new approach of system LCOE and learning curve. • The impacts of system LCOE and electricity price on grid parity are investigated. • The additional grid integration costs amount for 15% of total PV system costs. • Grid parity from a system LCOE perspective will be achieved between 2020 and 2032. [ABSTRACT FROM AUTHOR]

The paper aims to contribute to debates on the relationship between place, home, and sense of belonging by exploring the context of domicide, which is the intentional destruction of home. In contrast to voluntary migration, which has been intensively studied, those displaced by domicide rarely have the resources or power to rebuild their home, and are often resettled in peripheral regions. The paper argues that locality, which has been largely underplayed in migration and home research, shapes domicide victims' homes and sense of belonging. Drawing on qualitative research with migrants displaced by the Three Gorges Project, one of the largest instances of domicide in China, the paper presents insights into the ways rural locality and migrants' translocal practices are interwoven with the home experiences of those who are displaced. It also explores how their identity and belonging are negotiated, constructed and contested. The analysis contributes to critical geographies of home and could help to devise future involuntary resettlement policy and practice to increase migrants' sense of home in resettlement. • Migrants' identity is grounded in their ancestral home after domicide. • A sense of non-belonging to resettlement place is experienced. • Rural locality shapes domicide victims' homes and sense of belonging. • Migrants living in separate resettlement sites are unified and create a home. [ABSTRACT FROM AUTHOR]