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Based on the panel data of 277 cities in China from 2011 to 2018, this paper constructs the digital economy index and the green economy efficiency index. The research found the following: first, the digital economy has significantly improved the efficiency of the green economy in the region. Second, the digital economy has a greater impact on the efficiency of the green economy in the eastern region and large cities than in the central and western regions and small cities. Third, technological innovation is an important way for digital economy to improve the efficiency level of green economy. [ABSTRACT FROM AUTHOR]

Using the panel data of China from 2007 to 2016, this paper explores the relationship between environmental regulation and industrial structure upgrading. The results show that environmental regulation has a causally positive impact on the upgrading of industrial structure. To explain the positive causal effect of environmental regulation, we adopt the mediation effect method and then confirm that allocated labor rather than technological innovation is a significant channel by which such regulation affects industrial structure upgrading. Ultimately, this paper complements the existing economic literature by justifying that labor allocation is a key mechanism to upgrade industrial structure in China. [ABSTRACT FROM AUTHOR]

Based on five‐period panel data from the China Family Panel Studies 2010–2018, this paper uses the propensity score matching difference‐in‐differences (PSM‐DID) method to comprehensively evaluate the effects of the New Rural Pension Scheme (NRPS) on alleviating rural households' relative poverty. At the same time, based on the theory of sustainable livelihoods of rural households, the mediating effects model is applied to analyse the mechanism of rural households' livelihood capital. The results of the study are as follows. (1) The NRPS helps alleviate the relative poverty of rural households. (2) The livelihood capital of rural households is an important mechanism for the NRPS to alleviate the relative poverty of rural households, and social capital, financial capital, and human capital all play a part in the mediating effect. (3) The results of the heterogeneity tests based on the stage of rural households' participation in the NRPS and the region of participation in the NRPS indicate that the governance effects of the NRPS on rural households' relative poverty are more significant among households in the contributory stage and the central and western regions. Additionally, the results are supported by robustness tests, such as replacing the dependent variable and the PSM method. The findings of this paper have important implications for the establishment of a long‐term mechanism to address relative poverty and the construction of a more efficient and inclusive rural social pension insurance system in China and other developing countries. [ABSTRACT FROM AUTHOR]

This paper first divides knowledge resources into internal knowledge and knowledge spillover from the dual perspective of inside and outside the region. Then, a panel threshold regression model is constructed by using the panel data from 30 provincial high‐tech industries in China during the 2009–2019 period using the intellectual property protection intensity as the threshold variable, and the nonlinear impact of the interaction between internal knowledge and knowledge spillover on the patent quality in the high‐tech industry is empirically explored. The results show the following. (1) The interaction between internal knowledge and knowledge spillover has a significant nonlinear effect on the patent quality in China's provincial high‐tech industry. There is a double‐threshold effect with the intellectual property protection intensity as the threshold variable. (2) As the threshold value of the intellectual property protection intensity increases, the promotion effect of the interaction between internal knowledge and knowledge spillover on the patent quality first increases and then decreases. (3) The spatiotemporal heterogeneity of the intellectual property protection intensity is obvious in all regions in China. (4) Internal knowledge, the infrastructure construction level, and the human capital level have significant positive effects on the patent quality, while knowledge spillover and the opening‐up level have significant negative effects. [ABSTRACT FROM AUTHOR]

Whether regional integration can promote the urban agglomeration to attract foreign direct investment and expand the opening‐up is a question worthy of in‐depth discussion. This paper constructs a quasi‐natural experiment from the perspective of regional integration expansion in the Yangtze River Delta, using the panel data of 208 cities in China from 2005 to 2017. The main purposes are to examine and analyze the common trends and regional differences regarding the influences of regional integration on FDI in entire cities, incumbent cities, and new cities. Next, the internal mechanisms of expansion on FDI are explored. The results show that the regional integration exerted a significant positive effect on the FDI of the entire Yangtze River Delta. For different regions, the effect of regional integration on FDI in the incumbent cities was higher than that in the new cities. In terms of mechanisms, regional integration could affect FDI through industrial division mechanism and market unification mechanism, yet the role of economic connection mechanism exhibited regional differences. The conclusions of this paper bear important enlightenment for promoting the construction of regional integration in China and the high‐quality growth of FDI in the Yangtze River Delta. [ABSTRACT FROM AUTHOR]

How to realize the ecological protection and high‐quality development (HQD) of the Yellow River Basin (YRB) has become a great challenge for China. Based on panel data from 100 prefecture‐level cities in the YRB from 2006 to 2018, this innovative paper employs the System Generalized Method of Moments (SYS‐GMM) panel model and takes environmental regulation as a situational factor to empirically examine the influence mechanism of industrial agglomeration on HQD in the YRB. Our findings reveal that: (i) overall, a "U‐shaped" relationship exists between industrial agglomeration and HQD in the YRB, and environmental regulation plays a vital role in augmenting their relationship. (ii) Presently, the industrial agglomeration degree prevails on the left side of the threshold value, and the upsurge of industrial agglomeration degree still limits HQD. (iii) From the perspective of river basins, the influence of industrial agglomeration on HQD in the upstream is not significant, and the strengthening effect of environmental regulation is not noticeable. We find a "U‐shaped" relationship between industrial agglomeration and HQD in the midstream, along with notable differences in the correlation between industrial agglomeration and different dimensions of HQD in downstream. This paper helps in further understanding the influence of industrial agglomeration, environmental regulation, and HQD, as well as establishes efficient policies to promote HQD in the YRB and other similar river basins through industrial agglomeration in the context of environmental constraints. [ABSTRACT FROM AUTHOR]

Our study aims to understand the impact of open government data (OGD) policy on firm performance and the moderating role of firm characteristics. The difference‐in‐difference model is used to analyze 10‐year panel data from 477 Chinese listed firms. The findings indicate that (a) OGD policy positively affects firm performance; (b) firm size positively moderates the relationship between OGD policy and firm performance; (c) R&D intensity nonlinearly moderates the relationship between OGD policy and firm performance; and (d) OGD policy significantly affects state‐owned firms. This paper provides suggestions for improving OGD policy and OGD market construction. [ABSTRACT FROM AUTHOR]

As rural decline sweeps the world and draws public attention, it becomes necessary to consider the relationship between urbanization and rural development. The paper investigates this topic in China for the period 1989–2018. The research results find positive contribution of urbanization to rural economy in the research period but with a decreasing tendency. Compared to less developed areas, rural economy of developed regions has become less dependent on cities and can flourish in a larger context with the support of modern transportation and telecommunication technologies. However, those peripheral rural areas tend to face continuous and large‐scale rural–urban migration which has aggravated rural decline. Rural economic growth helps to decrease rural outmigration and people will stay in their hometown with available job opportunities to raise their families and maintain livelihood. The paper proposes balance‐friendly urbanization structure and diversified rural economy to improve rural resilience to meet the challenge of rural decline. [ABSTRACT FROM AUTHOR]

This paper explores the impact of Chinese subsidy interventions in the upstream sector on the competitiveness of the downstream sector. In particular, the paper investigates the causal effect of Chinese subsidies on base metal products on the export competitiveness of downstream sectors in other major trading countries. To explore the impact of base metal subsidy interventions on the downstream sector of a trading partner, we exploit both temporal variation in subsidy interventions and base‐metal consumption by the downstream sector. Using a panel data for 137 sectors in 40 major trading partners of the Chinese economy, the results of the paper reveal that a one‐unit increase in Chinese subsidies decreases competitors' exports by an average of 16.6%. This indicates that an increase in one standard deviation of Chinese subsidies in the base metals sector decreases exports in the other major economies by 0.17 percentage points. The findings of the paper reveal that the impacts of Chinese subsidy interventions are larger and statistically significant for the exports of developed countries and metal‐intensive users in the downstream sectors. Production relocation to China, absorption of larger inexpensive base metals input by domestic Chinese firms, and subsidy complementarity in the Chinese upstream and downstream sectors could be some of the potential drivers for the negative impact of Chinese subsidy interventions on the export performance of foreign downstream firms. [ABSTRACT FROM AUTHOR]

This paper discusses the transmission mechanism and effects that trade liberalization influences energy intensity through energy‐saving technological change (ESTC). We construct panel data from manufacturing industries in China over the period of 1994–2017, thereby conducting empirical tests through mediation models and discontinuity regression models. The results find that trade liberalization significantly promotes the lowering of energy intensity through ESTC. Heterogeneity test results show that the trade liberalization effect is higher in industries with low barriers to entry and industries with high pollution. Fuzzy regression discontinuity (FRD) results show that energy intensity decreasing as China's accession to the World Trade Organization (WTO). [ABSTRACT FROM AUTHOR]

The objective of this study is to examine the impact of government environmental concerns on green innovation and whether this has a "leverage effect" or a "crowding‐out effect." This study employs a two‐way fixed‐effects model to conduct an empirical test using panel data from 2010 to 2020 on Chinese firms listed in heavy‐polluting industries. The results suggest that an increase in government environmental concerns can promote corporate green innovation. However, government environmental concerns primarily stimulate strategic innovation rather than substantive innovation. After a series of robustness and endogeneity tests, the conclusions of this paper still hold. Corporate green innovation induced by government environmental concerns is not the "leverage effect" superimposed on existing innovation activities but the "crowding‐out effect" of other technological innovation. The heterogeneity tests in this paper indicate that the impact is more pronounced for firms with poorer environmental conditions, stronger political connections, and richer executive backgrounds. [ABSTRACT FROM AUTHOR]

In the context of two competing forces (i.e., socioeconomic transformation vs. traditional cultural norms) influencing Chinese family and its members, the paper uses the China Family Panel Studies (CFPS) to empirically examine the causal relation between intrahousehold bargaining power and women's marital satisfaction. By employing an instrumental variable approach, the paper finds that intrahousehold bargaining power negatively affects women's marital satisfaction. This conclusion remains valid after performing various robustness checks. However, there are some heterogeneous effects found that the negative effect is particularly significant among those women of higher age and constrained by external traditional norms. These women are more conservative in their own thoughts and thus tend to support the traditional gender belief of "men being the masters of the family." [ABSTRACT FROM AUTHOR]

This paper proposes a slacks‐based global DEA for Chinese urban green economic growth (GECO) and a global Malmquist index for decomposing its changes into three components, technology change (GTEC), scale efficiency change (GSEC), and pure technical efficiency change (GPEC). On this basis, using China's 286 city‐level panel data for the period 2006–2018, this paper then analyses the key driving factors of GECO and the regional heterogeneous effects of resource abundance on GECO. Results show that: (a) during the sample period, the city‐level GECO of China remains at a low level. GTEC and GSEC promote GECO, but much of this growth effect is offset by a reduction in GPEC; (b) there is negative effect of resource abundance on Chinese urban GECO. Specifically, in eastern, central, and western cities, the negative effect on GECO by adversely affecting GSEC and GPEC, while in northeast cities, the main transmission is GTEC; (c) because the key factors which affect the decompositions show different characteristics from regional heterogeneity perspective, this paper takes further step to formulate specific strategies and effective implementation of policies for the improvement of GECO in China's city level. [ABSTRACT FROM AUTHOR]

Based on the dimensions of job security and ownership, the creative class is distinguished between the self‐employed and the paid‐employed in this paper. Based on panel data from 2000 to 2017 in China, we find the creative class of paid‐employed is more attracted by a quality of place with better ecological environment and more art and culture facilities, while the self‐employed creative class seems to live and work in an area with more financial benefit and high‐tech industries. This study contributes a theoretical model to explain why and how the type of the creative class is unevenly spatially distributed across China. [ABSTRACT FROM AUTHOR]

Parental investments in children's cognitive and noncognitive outcomes are deeply important to policymakers. However, because parental investments are arguably endogenous, estimating their importance empirically poses a challenge. To address this challenge, this paper exploits a rich and novel dataset, the China Family Panel Studies, and proposes a culture‐specific instrumental variable based on the Chinese zodiac. By comparing the outcomes of children born just before and just after the cutoff for a "lucky" (or 'unlucky') zodiac sign, we find that parents' investments have significant effects on offspring's development of both cognitive and noncognitive skills. [ABSTRACT FROM AUTHOR]

Differences between the business environment in the home country and the host country are an important factor when enterprises consider their location choice with regard to outward foreign direct investment (OFDI). However, this is ignored by much existing literature. Based on the trade‐off framework of international firms between exporting and participation in OFDI under the condition of heterogeneous enterprises, this paper constructs a theoretical model of the impact of distance of doing business (DDB) on OFDI. We take China's OFDI as an example and use the World Bank Group's Ease of Doing Business Index to construct the DDB indicator, as well as test the impact of the DDB on China's OFDI by combining the macro‐location panel data of China's OFDI between 2004 and 2017. The results showed that increasing DDB significantly reduces the scale of China's OFDI. The effect is robust. The mechanism is that DDB significantly decreases the success rate of OFDI and increases the cost of OFDI, thereby decreasing the scale of OFDI. Further analysis then finds that official acts, such as building partnerships, and folk acts, such as increasing cultural identity, can significantly reduce the negative effect of DDB on OFDI. [ABSTRACT FROM AUTHOR]

The existing literature mainly focuses on the impact of information communication technologies on carbon emissions, but little attention has been paid to the role of the digital economy in transporting carbon emissions. This paper calculates the index of the digital economy through the entropy weight Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method and constructs the panel data of 30 provinces in China from 2008 to 2017. By extending the Stochastic Impacts by Regression on Population, Affluence and Technology model, this study explores the potential linear and non‐linear relationship between digital economy and carbon emissions in the transport sector. Empirical results show that the digital economy has the alleviating effect on carbon emissions in the transportation sector, and a change in the digital economy of one unit standard deviation resulted in a 6.14% reduction in carbon emissions. In terms of sub‐regions, the digital economy has a significant negative impact on transport carbon emissions in the eastern and central regions, while it is insignificant in the western regions. This paper further investigates the threshold effect of urbanization on the relationship between the digital economy and transportation‐related carbon emissions. The digital economy accelerates the transport sector's carbon emissions in the low urbanization stage, while it reduces the carbon emissions in the high urbanization stage. [ABSTRACT FROM AUTHOR]

Poverty is a challenge faced by all countries across the world. How to effectively reduce poverty has always been an issue of scholars and governments, and understanding poverty traps and the causes is the basis for understanding poverty governance. Current research has no longer only attributed poverty to "lack of capital formation," but put more emphasis on the significance of spatial factors. By using China's county‐level large sample panel data, this paper identifies poverty traps in rural China from three dimensions: aggregation, persistence and reinforcement. Research in this paper shows that from 2006 to 2015, there was nearly no change in spatial pattern of poverty in rural China, and the spatial distribution of poverty is not synchronised with economic growth. Distribution of poverty‐stricken counties is mainly related to topographic factors (slope and elevation). In addition, rural poverty in China is persistent, and there is not only a low‐level equilibrium of income in poverty‐stricken counties, but also a "club convergence" of income between poverty‐stricken and non‐poverty counties. Further research has also found that income in poverty‐stricken counties has a "spatial spillover" effect, so poverty also manifests itself as spatial self‐reinforcement. Research in this paper reveals the relationship between spatial externalities and rural poverty. It not only provides empirical evidence for correctly assessing the relationship between development and poverty, it also offers support for reasonably formulating a regional anti‐poverty targeting mechanism. [ABSTRACT FROM AUTHOR]

This paper examines the impact of China's export trade on smog pollution. Based on provincial panel data from 2006 to 2016 in China, we use spatial econometric methods to empirically investigate the smog pollution effects of China's export trade from two dimensions, export scale and export structure. It has been found that smog pollution in various regions of China has obvious spatial correlation; China's export trade has a significant positive impact on smog pollution, whether in terms of export scale or export structure. After establishing different forms of spatial weight matrices and considering alternative indicators of smog pollution, the results of this paper are still robust. [ABSTRACT FROM AUTHOR]

In order to meet the strategic goals of carbon peak and carbon neutralization on schedule, it is crucial to examine the effects and limitations of green finance on the green transformation of industry. This research utilizes the entropy method, the Global Malmquist–Luenberger technique, and panel data of 30 provinces in China from 2005 to 2018 to estimate the extent of industrial green transformation and green finance development in each province. It builds static and dynamic panel models to experimentally examine the effect of green finance on industrial green transformation. After introducing environmental regulation (ER), this paper presents how ER influences the link between green finance and industrial green transformation. The research finds the following. (1) According to geographical differences in the growth of green finance and industrial green transformation, the economically developed east region is more advanced than the central and west regions, and the central region is more advanced than the west region. (2) Green finance has a significantly positive impact on industrial green transformation, and this positive influence has certain continuity and inertia. (3) Environmental regulation has a favorable impact on the link between green finance and industrial green transformation; specifically, a rise in the level of environmental regulation stimulates the process of green finance that boosts industrial green transformation. The policy recommendations herein offer reference for the construction of China's green financial system and the promotion of industrial green transformation for CSR. [ABSTRACT FROM AUTHOR]

Using data from the 2016 China Family Panel Studies, this paper examines the relationship between government assistance, urban/rural residency, and charitable giving. The results indicate that urban/rural residency moderates the relationship between government assistance and charitable giving in China. Urban residents who do not receive government assistance are much more likely to donate to charity than their rural counterparts. While urban residents with government assistance also show a higher likelihood of giving than government assistance recipients in the rural area, the difference is much smaller than that between the urban and rural non‐recipients. More interestingly, the results show that although urban residents without government assistance donate more to charity, those who receive a high amount of government assistance on average donate less to charity than their rural counterparts. [ABSTRACT FROM AUTHOR]

Rainfall fluctuations are the major threats caused by climate change. This paper analyses the impact of seasonal rainfall fluctuations on rural poverty using panel data for 992 counties, which are located in humid zone in the south of China from 2000 to 2018. The findings are as follows: (1) Rainfall fluctuations significantly affect rural poverty, specifically, increased rainfall significantly alleviates rural poverty in the dry season, but aggravates rural poverty in the rainy season. (2) The effect of rainfall fluctuations on rural poverty is significantly heterogeneous in different regions. (3) Rainfall fluctuations put low‐income areas at greater risk of returning to poverty. (4) The mechanism through which rainfall fluctuations affect rural poverty is agricultural production, and market regulation can mitigate the shock of rainfall fluctuations. Our research provides policy implications for developing countries to address the risks of poverty from climate change. [ABSTRACT FROM AUTHOR]

Due to externalities and market failure, innovation activities are facing insufficient investment. Venture capital guidance funds (VCGFs) are an important policy implemented by China's government to guide private capital to participate in innovation and entrepreneurship activities, and it can have an important impact on scientific and technological innovation. Based on the panel data of 285 cities in China, this paper empirically analyzed the impact of VCGFs on innovation and its mechanism. VCGFs can significantly promote urban innovation and this role is sustained for three years following VCGF establishment. Further research shows that VCGFs do not have a direct impact on innovation but promote innovation by promoting the accumulation of innovative talent and capital, and the capital accumulation effect of VCGFs is the main path through which they promote urban innovation. Corruption is also a factor that restricts the effectiveness of an innovation policy. Thus, China's top‐down anticorruption campaigns can strengthen the ability of VCGFs to promote urban innovation. This paper opens the black box to show the mechanism through which VCGFs impact urban innovation, affirms the important role of the government in the regional innovation system, and clarifies the debate on government innovation policy. [ABSTRACT FROM AUTHOR]

Environmental regulation is an important tool for local governments to intervene in environmental governance. Based on 2008–2017 panel data on 289 cities in China, this paper analyzes the impact of environmental regulation on the supply efficiency of environmental public services and explores whether environmental decentralization changes the effect of environmental regulation. The results show that environmental regulation can significantly improve the supply efficiency of environmental public services, and this finding still holds after a series of robustness tests. The main reason is the improvement in green technology innovation capabilities caused by environmental regulation. Environmental regulation has a more significant positive effect on the supply efficiency of environmental public services in regions with a higher local government governance capacity, lower levels of fiscal decentralization, and a higher pollutant emission intensity. A moderate level of environmental decentralization helps to better promote the supply efficiency of environmental public services through environmental regulation. When the level of environmental decentralization lies between 0.362 and 1.353, environmental regulation effectively improves the supply efficiency of environmental public services. [ABSTRACT FROM AUTHOR]

Northeast China has seen a remarkable transition from rustbelt to economic revival over the past decade. However, promoting sustainable economic growth is a major issue facing Northeast China after entering the middle‐income stage of development. Based on a panel data set of 34 prefecture‐level cities in Northeast China from 2001 to 2018, this paper constructs a human capital index in terms of both quantity (educational capital) and quality (health capital) and uses the generalized method of moments (GMMs) to explore the spatial–temporal effects of human capital on economic growth under the "middle‐income trap." The results show that a key factor keeping Northeast China in the middle‐income stage is the loss of highly qualified labor and that the previous attribution of the economic downturn to the population exodus is inaccurate. Although the results of this study indicate that the demographic dividend during the demographic transition period has ended in Northeast China and that the associated low‐cost advantage has been lost, the "talent dividend" can still be obtained by improving the level of human capital and thus promoting sustainable economic growth. [ABSTRACT FROM AUTHOR]

This paper examined the extent and risk factors of child subjective wellbeing and psychological health empirically using China Family Panel Studies data set. Child subjective wellbeing was measured in this paper using six indicators including the frequency in feelings of depression, nervousness, restlessness, hopelessness, helplessness, and meaninglessness. Risk factors of child subjective wellbeing have also been examined in particular to the domains of household multidimensional material deprivation, parenting practices, and children's personal health conditions. The results of this paper implied that providing adequate nutrition and ensuring children's access to basic water and sanitation facilities were important strategies for promoting children's psychological health and wellbeing. Also important factor for child wellbeing is parenting styles and practices, that is, how parents interact with children in daily lives and how they behave as parents. [ABSTRACT FROM AUTHOR]

China is gradually changing its pursuit of rapid economic growth into a pursuit of economic development quality. In this context, whether "cyberpower" and "digital China" strategies are truly conducive to China's sustainable development still needs to be further tested. This paper constructs China's provincial information and communication technology (ICT) comprehensive development level index from the four dimensions of penetration, coverage, information resources, and business and then innovatively undertakes a theoretical framework integrating ICT, environmental regulations, and green total factor energy efficiency (GTFEE) for the analysis. Using panel data from China's 30 provincial administrative regions from 2006 to 2017, this study explores the direct impact, moderating effect, nonlinear relationship, and regional differences of ICT development on GTFEE. It is indicated that ICT development plays a positive role in promoting GTFEE and that this role is moderated by environmental regulations. The regression results of the dynamic threshold model indicate that diverse environmental regulation intensities lead to different influences of ICT development on GTFEE. Moreover, the impact of ICT development on GTFEE is heterogeneous among different regions. Specifically, the western region may gain more benefits from ICT development by virtue of the late‐mover advantage. [ABSTRACT FROM AUTHOR]

Does state‐owned enterprise (SOE) prevalence affect the employment adjustments of firms after trade liberalisation? This paper estimates the role of the prevalence of SOEs in the labour market in import competition by using city‐industry level panel data in China from 2000 to 2006. Our results indicate that import competition decreases employment in the manufacturing industry and that SOE prevalence could partially offset the negative effect on employment. This offsetting effect is demonstrated at both extensive and intensive margins. Moreover, SOE prevalence has a positive externality for the employment of non‐SOEs under the import competition shock. Therefore, we verify the positive externality of SOEs in labour market adjustment in response to import competition. [ABSTRACT FROM AUTHOR]

In the context of sustainable development, countries around the world shed more light on green innovation in their environmental policies, and the digital economy may take a vital part in improving green innovation. Predicted on the panel data of 278 cities in China from 2011 to 2019, this research administrates the principal component analysis (PCA) to evaluate the advancement level of the urban digital economy and employs the number of urban green patent applications to represent green innovation level. Through the benchmark regression model, the mediating effect model, the spatial Durbin model, the dynamic threshold panel model, and the gradual difference‐in‐difference model, this paper explores the direct effect, indirect effect, spatial effect, nonlinear relationship, and policy effect of that digital economy has on green innovation. The development of the digital economy can improve green innovation levels in indirect ways, such as by boosting the degree of economic openness, optimizing the industrial structure, and expanding the market potential, and as economic openness, industrial structure, and market potential advance, the promotion intensity of digital economy on green innovation is becoming lower and lower. The development of green innovation has an obvious spatial spillover effect. Still, the enhancement of green innovation in more developed regions may inhibit green innovation in less developed regions due to talent flow and industrial transfer. Finally, the gradual difference‐in‐difference model founded on the 'Broadband China' pilot policy supplementarily verifies that digital economy enhancement can substantially advance urban green innovation. [ABSTRACT FROM AUTHOR]

Based on 2012–2017 panel data of 282 China's cities, this paper uses the entropy method to calculate an urban resilience index, uses spatial cold–hot spots model to explore spatial characteristics of urban resilience, uses revised the gravity model to construct urban resilience spatial network characteristics, and uses the social network analysis method to analyze spatial network characteristics of urban resilience. The results show that: (1) Urban resilience of China's cities has been gradually improved, and there is a geographical aggregation effect, with significant changes in hot spots and insignificant changes in cold spots. (2) Urban resilience has obvious spatial correlation and linkage effects and strong temporal fluctuation. The cities with higher degree centrality and closeness centrality are consistent in spatial distribution, mostly located in Bohai Rim, Pan‐Yangtze River Delta, Pearl River Delta and some central regions. The centrality obviously shows non‐equilibrium in spatial distribution. The cities with high centrality are mostly provincial capitals. (3) The "club effect" has not yet been reflected in the urban resilience spatial network, and the advantages of different regions are obviously different. Therefore, it is necessary to face up to the spatial difference of urban development and enhance the diversity and pertinence of urban resilience construction. [ABSTRACT FROM AUTHOR]

Using panel data for 29 provinces in China from 2000 to 2018, this paper mainly presents an empirical study on the impact of industrial structure upgrades on the urban–rural income gap. An overall analysis at the national level is conducted before the separate analysis of the relevant content of China's eastern, central, and western regions. The results reveal that at the national level, the upgrading of industrial structure is conducive to narrowing the urban–rural income gap; however, the impact of industrial structure upgrades on the urban–rural income gap differs from different regions: in eastern China, the impact of industrial structure upgrades on the urban–rural income gap varies over time, and the relationship between the two variables shows an N‐shaped curve; in central China, the upgrading of industrial structure can help to narrow the income gap between urban and rural areas; in western China, upgrading the industrial structure will widen the urban–rural income gap. Finally, certain policy recommendations are proposed. [ABSTRACT FROM AUTHOR]

This paper studies the impact of urban density, city government efficiency, and medical resources on COVID‐19 infection and death outcomes in China. We adopt a simultaneous spatial dynamic panel data model to account for (i) the simultaneity of infection and death outcomes, (ii) the spatial pattern of the transmission, (iii) the intertemporal dynamics of the disease, and (iv) the unobserved city‐specific and time‐specific effects. We find that, while population density increases the level of infections, government efficiency significantly mitigates the negative impact of urban density. We also find that the availability of medical resources improves public health outcomes conditional on lagged infections. Moreover, there exists significant heterogeneity at different phases of the epidemiological cycle. [ABSTRACT FROM AUTHOR]

Resource depletion and environmental pollution have seriously restricted the sustainable development of China's economy in recent years. How to transform the extensive growth mode to the intensive growth mode and realize the green development of economy is a great challenge for China. In this paper, we use the non-radial and non-angle Slack-based Model (SBM) considering the undesired output, combined with the Malmquist-Luenberger productivity index, to measure regional green total factor productivity (GTFP). By constructing the green output density function, the theoretical model of the relationship between regional GTFP and industrial agglomeration is deduced, and the theoretical mechanism of the influence of industrial agglomeration on regional GTFP is analyzed. Based on panel data of 243 cities at the prefecture level in China from 2010 to 2019, this article employs the dynamic spatial panel model to empirically estimate the impact of industrial agglomeration on regional GTFP. The empirical results show that regional GTFP shows significant spatial autocorrelation and spatial clustering characteristics. The manufacturing agglomeration has significant negative impact on regional GTFP and produces negative spatial spillover effect on the surrounding regions, but does not produce congestion effect. The producer services agglomeration significantly improves regional GTFP and produces positive spatial spillover effect on the surrounding regions, and leads to congestion effect. The co-agglomeration of producer services and manufacturing has significantly promoted the improvement of regional GTFP and produces positive spatial spillover effect on the surrounding regions. Finally, this article puts forward policy suggestions on how to promote regional GTFP and achieve green development from the perspective of industrial agglomeration. [ABSTRACT FROM AUTHOR]

The cultural diversity brought by migrants has attracted widespread interest in recent years. This paper investigates the relationship between migrant cultural diversity and regional innovation by constructing panel data of provincial migrant cultural diversity and combining them with invention applications data from China's State Intellectual Property Office. The empirical results show that the migrant cultural diversity, measured by migrant's hukou and dialect respectively, has a positive impact on regional innovation. The effect still holds after a series of robustness tests and addressing endogeneity issues. Furthermore, the further analysis implies that the effects of the migrant cultural diversity in workers aged from 30 to 50, engaged in an innovative occupation, working in high market‐competitiveness or inclusive provinces are more pronounced. Our study supplements the current research on the relationship between migrant cultural diversity and regional innovation. [ABSTRACT FROM AUTHOR]

This paper examines how cognitive ability affects households' demand for financial advice and whether households with financial advisors reap better investment returns in China. Using data from the nationally representative China Household Finance Survey (CHFS) and China Family Panel Studies (CFPS), we find that math ability (i.e., one domain of cognitive ability) has a significant and negative effect on households' propensity to hire financial advisors, whereas the impact of verbal ability (i.e., another domain of cognitive ability) on seeking financial advice is insignificant. The analysis also suggests that the influence of cognitive limitation is larger for less educated and financially literate households. We conduct a regression discontinuity based on the Huai River policy, supporting the causal influence of cognitive ability on financial advice seeking. Furthermore, we find no evidence that financial advice improves investors' investment performance. [ABSTRACT FROM AUTHOR]

State‐owned industrial enterprises' (SOIEs') non‐R&D innovation activities have been ignored by scholars. Using panel data on the regions of China, this paper examines the impact of non‐R&D innovation by SOIEs on regional total factor productivity (TFP) with panel Co‐integration and a panel vector error correction (VEC) model. The results show that SOIEs' non‐R&D innovation is important for economic growth, and different types of non‐R&D innovations have heterogeneous effects on regional TFP. Foreign technology acquisition (FTA) has more positive long‐term and short‐term impacts on regional TFP than do R&D expenditures. Technology assimilation (TA) improves regional TFP, but the effect of R&D expenditures on innovation is higher than that of TA in the eastern region. Domestic technology purchases (DTPs) have no significant impact on regional TFP in the central and western regions and even have a negative effect in the eastern region. Technology transformation (TT) has a stronger long‐term positive effect on regional TFP than R&D expenditures, but R&D innovation has a stronger short‐term positive effect than TT. We examine the impact of SOIEs' non‐R&D innovation on regional economic efficiency and, to a degree, identify the source of its effect on innovation. This study emphasizes the critical function of technology diffusion in fostering economic efficiency. [ABSTRACT FROM AUTHOR]

Innovation and sustainable development are important concerns for countries around the world, and strengthening environmental regulation (ER) may have a critical implication for the promotion of green technology innovation. On the basis of elaborating the mechanism of ER on technological innovation, the Super‐SBM‐Windows‐DEA model is employed to measure the green innovation efficiency (GIE) using provincial‐level panel data from 2004–2017 in China. The system generalised method of moments is used to estimate the direct effects of ER on GIE, an innovative mediating effect model that based on structural equation model is utilised to explore their indirect effects. Further, a spatial econometric model is developed to examine the possible spatial effects between ER and GIE. The 'U' shaped relationship between ER and GIE is verified in the direct effect test. The results of the indirect effects indicate that ER is not conducive to GIE by discouraging the inflows and outflows of FDI, while it contributes to GIE by promoting the structural upgrading of industry. The spatial effect results show that the impact of ER on GIE in neighbouring areas has an obvious spatial spillover characteristic, which is manifested as an inverted 'U'‐shaped relationship of promotion followed by inhibition. The paper further proposes policy implications including strengthening cross‐regional joint prevention and control, integrating ER strategies, and rational application of ER tools, so as to promote a win‐win development of innovation and sustainability, and the positive effects of ER are better developed. [ABSTRACT FROM AUTHOR]

Currently, opinions on whether and how ride‐hailing services have impacted the use of traditional taxis are divided, and no consensus has been reached. This paper used panel data from 44 cities in China from 2010 to 2016 to estimate the impact of ride‐hailing services on the use of traditional taxis by applying the multiperiod difference‐in‐difference (multiperiod DID) method and conducting a series of robustness tests. The results show that ride‐hailing services have a large, negative impact on the use of traditional taxis, and this negative impact is more severe in eastern cities. These results suggest that in China it is necessary for traditional taxi operators to make changes and innovations to become more sustainable in response to pressure from ride‐hailing services. Additionally, it is suggested that city governments in China pay greater attention to the impact of emerging ride‐hailing services on traditional taxi services, embrace emerging modes of mobility, and create appropriate policies to coordinate the development of both new and traditional services. [ABSTRACT FROM AUTHOR]

Copyright of Regional Science Policy & Practice is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Regional Science Policy & Practice is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Agricultural insurance is a significant driver of agricultural development worldwide. In this paper, a fixed‐effects panel approach and instrumental variable regressions are used to examine the impact of agricultural insurance on agricultural output in China. The study is based on panel data from 31 Chinese provinces over the period 2004 to 2018. Findings indicate that agricultural insurance led to a significant increase in aggregate agricultural output across provinces. The results remain robust when potential endogeneity in insurance uptake is considered. In addition, mechanism tests were performed to identify the channels through which insurance influences productivity. These show that agricultural insurance contributes to increasing labor productivity and the area of cultivated land per capita and encourages specialized planting, all of which promote growth in agricultural production. Finally, agricultural insurance plays a more important role in Eastern China and nonmajor crop‐producing areas [EconLit Citations: Q13, Q18]. [ABSTRACT FROM AUTHOR]

By utilizing panel data of provinces in China from 2012 to 2018, this paper measured innovation efficiency of each regional innovation system and the triple helix relationship of the university‐industry‐government system, then, empirically investigated the influence of the triple helix relationship on regional innovation efficiency. It has been found that: (1) the regional innovation efficiency in China increases slightly year by year, the regional differences are obvious, and university–industry bilateral cooperation is the tightest; (2) cooperation between universities and industries is most beneficial to improve regional innovation efficiency, cooperation between universities and governments significantly promotes scale efficiency in the long run, cooperation between industries and governments significantly promotes regional innovation comprehensive efficiency and pure technical efficiency, meanwhile inhibits scale efficiency, coordinated relation among universities, industries, and governments is beneficial to improve regional innovation comprehensive efficiency and scale efficiency. The research results provide useful theoretical support and policy enlightenment for improving regional innovation efficiency. [ABSTRACT FROM AUTHOR]

This paper investigates how housing demolition affects labor supply using the China Family Panel Studies, a nationally representative household survey from China. We argue that housing demolition is likely to be random across households within the same community. We find that housing demolition reduces overall labor force participation by ~3.3 percentage points and farm work participation by ~4.4 percentage points. We also find that the negative impact on labor force participation is mainly driven by older people, women, less‐educated people, and people living in rural regions. The negative impact of housing demolition on labor force participation persists over time. [ABSTRACT FROM AUTHOR]

As one of the biggest agroproducts producers, China plays an important role in the global supply. Yet, climate change inevitably threatens their production and leads to tremendous losses. Furthermore, climatic and nonclimatic factors are likely to influence their producing behaviors and yields. Accordingly, this work aims to explore both the qualitative and quantitative nexus between climate change, nonclimatic drivers, and agroproduct yield in China. We choose lychee (Litchi chinensis Sonn.), with world's largest production in China and one of the most demanding agroproduct for climatic conditions, as the subject. A two‐way fixed‐effect Poisson model with robust standard error is developed based on county‐level panel data in 39 main producing counties in China along with climatic and cultural festival factors from 2014 to 2019. The main conclusions are as follows: (a) the lychee culture festival, a nonclimatic driver, has negative effect on lychee yield, and this is a novel effect pathway theoretically and we verify it empirically; (b) climate changes in various phenological phases are significantly correlated to lychee yield; precipitation during the exposure phase or flowering phase has negative effect, and minimum temperature during the heading phase has positive effect, which is the first paper in this field; and (c) a new method is developed to analyze nonnegative yield and production, which could also be applied in other industries. Core Ideas: The negative relationship of lychee culture festival and lychee yield is a novel effect pathway.The climate effect in five phenological phases on lychee yield is the first reported in this field.A new method is developed could also be used in the other industries.Less precipitation during exposure and flowering phase produces higher yield.Higher minimum temperature during the heading phase tends to increase lychee yield. [ABSTRACT FROM AUTHOR]

High‐speed rail (HSR) has led to a transportation revolution in China. This paper uses the county‐level panel data of China's Yangtze River Delta to investigate the effect of HSR connection on local economy. To address the issue of endogenous HSR route placement, we use a straight‐line strategy to construct potential HSR connection variables as instrumental variables of the actual HSR connection. Both the difference‐in‐differences and instrumental variable methods show that HSR connection impedes local economy, especially in peripheral regions. The impediment effect is channeled through population reallocation from peripheral to core areas and the restructuring of industries. [ABSTRACT FROM AUTHOR]

In this paper, we evaluate the incentive role of a teacher performance‐based compensation reform in rural China. Using the value‐added model widely adopted in the education literature, we first estimated the teacher effects on student academic scores with panel data of a large number of students and teachers from rural and urban schools in one county in a south‐western province of China. The estimated teachers' value‐add was then allowed us to examine the effectiveness of the 2009 teachers' compensation reform. We find that despite the strong intent of the performance‐based compensation reform to improve student's academic performance, teachers' compensations are not closely tied to teachers' value‐add to student academic achievement. This suggests that the performance‐based compensation reform is not able to provide strong incentives for teachers to raise students' test scores and points towards the possible problems with the design and/or implementation of the reform. [ABSTRACT FROM AUTHOR]

Anti‐corruption is an important initiative in China's national governance system. The existing literature usually studies the direct impact of corruption or anti‐corruption on China's environment, while few studies show the spatial correlation impact of anti‐corruption on China's environmental governance. This paper redefines anti‐corruption, uses panel data of 30 Chinese provinces and cities from 2005 to 2019, and empirically analyzes the impact of anti‐corruption on environmental governance efficiency in China using spatial Durbin model. The findings indicate that the direct effect of anti‐corruption on environmental governance efficiency is positive, indicating that increasing anti‐corruption efforts will help improve local environmental governance efficiency; indirect effect of anti‐corruption on environmental governance efficiency is negative, suggesting that due to the existence of "pollution heaven" effect, the strengthening of anti‐corruption in the local region will cause polluting industries to move from local region to neighboring regions, leading to serious environmental pollution in the neighboring regions, and then reducing environmental governance efficiency. The indirect effect of economic development, industrial structure, and economic openness are negative, while the indirect effect of urbanization rate and clean energy are positive. The findings of the study provide a theoretical basis and insight for governments at all levels to improve environmental governance efficiency through anti‐corruption. [ABSTRACT FROM AUTHOR]

Digital transformation is globally pervasive, and exploring how it can shape enterprises' sustainable development is significant. Using the panel data of 710 listed corporates in China from 2011 to 2020, this paper empirically investigates the impact of digital transformation on corporate Environmental, Social and Governance (ESG) performance with the fixed effect model and the SYS‐GMM method. The results indicate that digital transformation significantly improves corporate ESG performance, especially environmental and social performance. A looser financing constraint (FC) environment will make the improvements in ESG performance from digital transformation more visible. Among corporates with low FCs, private corporates, and non‐technical corporates, digital transformation has a more noticeable effect on improving ESG performance by easing FCs. Our research presents implications for policymakers and business decision‐makers to achieve alignment between corporate digitalization and sustainability. [ABSTRACT FROM AUTHOR]

This paper introduces a moderated‐mediation model to investigate the relationship between green innovation, as measured by green patent stocks, and firms' stock market value, as measured by Tobin's Q. Using longitudinal data drawn from 351 heavily polluting firms in China's A‐share market from 2007 to 2018, we find that green innovation is likely to affect firms' stock market value positively. A 1% increase in the green innovation over assets index will enhance by 0.18% the Tobin's Q at the firm level. Environmental compliance costs significantly mediate the green innovation‐firms' stock market value association by 8.5%. We also emphasize the positive moderating role of technological collaboration with public research organizations on green innovation‐environmental compliance costs linkage. Our results emphasize that the recurrent question in the extant literature "does it pay to be green?" should be substituted by "how and under what conditions does it pay to be green for firms?" and further stress how firms obtain sustainable development in the environment and economy through green innovation. Implications for firms and investors are also proposed. [ABSTRACT FROM AUTHOR]

In 2005, China abated its fixed exchange rate against the U.S. dollar and began to appreciate the Renminbi (RMB). In this paper, I explore the effect of the appreciation of the RMB on imports to the United States from China by augmenting the gravity model with the exchange rate. Using an industrial panel data set during the period 2002-2008 and controlling for the endogeneity of the bilateral exchange rate, this extensive empirical analysis suggests that the appreciation of the RMB against the U.S. dollar significantly reduced imports to the United States from China. This finding is robust to a variety of econometric methods and to coverage in different periods. [ABSTRACT FROM AUTHOR]