Search Results (62)

Upgrading the industrial structure is an essential step for economic growth and the transformation of old and new development drivers. Counties situated at the rural–urban interface hold a comparative advantage in industrial upgrading compared to cities, converting agricultural resource dividends into economic value. However, whether agricultural innovation talent can facilitate this process requires further investigation. Based on a sample of 1771 Chinese counties, this study employs a quasi-natural experiment using China’s “World-Class Disciplines” construction program in agriculture and establishes a difference-in-differences (DID) model to examine the impact of agricultural innovation talent on county-level industrial structure upgrading. The results show that agricultural innovation talent significantly promotes industrial upgrading, with this effect being more pronounced in counties with smaller urban–rural income gaps, greater household savings, and higher levels of industrial sophistication. Spatial spillover effects are also evident, indicating regional knowledge diffusion. Knowledge empowerment emerges as the core mechanism: agricultural innovation talent drives industrial convergence, responds to supply–demand dynamics, and integrates digital and intelligent elements through knowledge creation, dissemination, and application, thereby supporting county-level industrial upgrading. The findings highlight the necessity of establishing world-class agricultural research and talent incubation platforms, particularly emphasizing the supportive role of universities and the knowledge-driven contributions of agricultural innovation talents to county development. Full article

Climate governance operates across multiple administrative tiers, and enhancing the vertical coherence of policies has become a critical determinant of successful climate governance. This study employs data from 1578 counties in China from 2008 to 2022 to explore the synergistic effects between the Low Carbon City Policy (LCCP) and the Cadre Performance Evaluation System Transformation (CPEST). The study reveals that the CPEST has the potential to enhance the carbon reduction effects of the LCCP, yet it has not fully realized a synergistic effect. Further analysis indicates that although the timing arrangement is beneficial, it alone is insufficient to generate a synergistic effect. A synergistic impact only materializes when the objectives of the CPEST and LCCP are aligned, resulting in a carbon reduction effect that is approximately 1.5 times greater than the simple sum of their individual impacts. Mechanism analysis indicates that the combination of the LCCP and CPEST reduces carbon emissions primarily through four pathways: environmental investment, environmental penalties, green technology innovation, and upgrading of industrial structure. The effects of this combined approach are greater than those achieved through separate implementation. Heterogeneity analysis reveals that the combination of the LCCP and CPEST has a more pronounced effect in resource-based cities, old industrial bases, and regions with strong promotion incentives. The research findings provide both theoretical support and empirical evidence for enhancing vertical coordination in climate governance. Full article

Population aging is a critical demographic trend in China, creating both challenges and opportunities for sustainable development. As aging alters the structure of the workforce and capital demand, understanding its effect on productivity is essential to managing demographic transitions in China. This study investigates the causal impact of population aging on labor productivity, with a focus on the mediating role of the capital–labor ratio and heterogeneities across industries, skill levels, and regions. Using data from Chinese listed firms between 2011 and 2018, this paper employs industry- and year-fixed effects regression models to control for unobservable heterogeneity and conducts a formal causal mediation analysis. The analysis reveals that population aging significantly enhances labor productivity. Specifically, a one-percentage-point increase in the old-age dependency ratio is associated with a 1.47% increase in firm-level labor productivity. The capital–labor ratio emerges as a critical mechanism, mediating the relationship between aging and productivity by incentivizing firms to increase capital intensity in response to labor shortages. Approximately 72.4% of the total effect is mediated through changes in capital intensity. The findings highlight notable heterogeneities. Labor-intensive firms and low-skilled worker segments experience stronger productivity gains from aging compared with their capital-intensive and high-skilled counterparts. At the regional level, the productivity effects are most pronounced in first- and second-tier cities, while third-tier cities show negligible impacts, reflecting resource and structural constraints. This study underscores the dual role of population aging as a challenge and an opportunity. Policy recommendations include (1) expanding targeted fiscal support for capital investment and automation in aging-intensive industries; (2) promoting vocational training programs tailored to older workers and digital skills development; and (3) strengthening infrastructure and institutional capacity in third-tier cities to better absorb productivity spillovers from demographic adjustment. By addressing these demographic and productivity linkages, the study contributes to achieving Sustainable Development Goals 8 (Decent Work and Economic Growth), 9 (Industry, Innovation, and Infrastructure), and 10 (Reduced Inequalities), by promoting inclusive productivity growth, enhancing industrial adaptation to demographic change, and reducing regional and skill-based disparities.These findings offer valuable insights for policymakers and businesses navigating the complexities of aging economies. Full article

In the era of energy transition, there is a lack of targeted research on the synergistic effects of new energy policies and informal institutions on carbon equity. This study examines how new energy policies influence urban carbon equity, with a focus on the mediating role of cultural forces. Utilizing panel data from 256 Chinese cities (2000–2021) and employing the New Energy Demonstration City (NEDC) policy as a quasi-natural experiment, this study adopts a staggered difference-in-differences (DID) approach to identify causal relationships. Key findings reveal: (1) China has been accompanied by a rise in carbon distribution inequity measured through the cumulative distribution patterns of carbon emissions and economic outcomes, highlighting the equity-efficiency trade-off. (2) The NEDC policy, while advancing energy transition, inadvertently exacerbates urban carbon inequity. The conclusion is robust to parallel trend tests, placebo analyses, and controls for concurrent policies. (3) Confucianism, as an informal institutional force, can effectively mitigate the urban policy-driven inequities. (4) Heterogeneity analysis finds that the synergistic effect of Confucianism and the policy is more significant in non-old industrial base cities and non-resource-dependent cities. Theoretically, this research bridges energy transition literature with institutional theory by revealing the compensatory role of cultural systems in formal policy frameworks. Practically, it advocates for culturally informed energy governance models, proposing Confucian principles of harmony and collective responsibility as design pillars for equitable sustainability transitions. Full article

Pseudorabies virus (PRV) remains a critical threat for the global swine industry, with heightened attention due to the emergence of variant strains since late 2011 in China. Emergent viral variants generally undergo three to four years of adaptation to present new phenotypes. However, limited investigations have been performed on the evolution and pathogenicity of variant PRV strains in growing pigs after 2015. In this study, three PRV field strains, named SD1501, SD1701, and SD1801, were isolated and their genetic characteristics and pathogenicity on 9-week-old pigs were analyzed. Nucleotide identity and phylogenetic analyses based on the complete genome sequence, as well as major immunogenic and virulence-related genes revealed that all three isolates clustered closely with genotype II variant strains prevalent in China. The pathogenicity analysis demonstrated that the three isolates exhibited moderate pathogenicity in growing pigs with a TCID₅₀ of 10⁷. Infected pigs displayed transient fever and reduced appetite, with only one pig in each challenge group showing typical neurological symptoms and succumbing within 6 days post infection. These findings enrich the epidemiological data of PRV and provide direct evidence for the phenotypic variations caused by PRV infection, which enhances our understanding of PRV evolution in China and contributes to PRV control in the field. Full article

The rapid flow of resources and participation of diverse entities in the information age drive the formation of innovation networks, yet how these networks evolve in strategic emerging industries—particularly in transitioning regions like Northeast China—remains underexplored. This study investigates the spatial formation and evolution of cooperative innovation networks in strategic emerging industries, as well as the underlying mechanisms driving their development and transformation. Focusing on China’s three northeastern provinces—a representative old industrial base undergoing transformation—we construct and analyze inter- and intra-city cooperative innovation networks from 2009 to 2023 using invention patent data. Employing social network analysis and spatial econometric models, we reveal that while the external network exhibits limited expansion with Beijing as a dominant hub, the internal network demonstrates increasing cohesion, transitioning to a multi-core structure. Factors such as urban innovation capacity, economic proximity, and institutional proximity play key roles in shaping these networks. These findings offer policymakers empirical evidence to strategically optimize cross-regional innovation ecosystems in resource-dependent regions, supporting urban sustainability and fostering innovation-driven development. Full article

Mercury, a global pollutant with high biotoxicity, is widely distributed in soils, water bodies, and the atmosphere. Anthropogenic activities such as industrial emissions and coal combustion release large quantities of mercury into the environment, posing health risks to human populations. Strict implementation of the Minamata Convention and innovative remediation technologies can mitigate escalating environmental and public health risks. This study investigated the spatiotemporal dynamics of mercury in soils and atmosphere across four spatial scales (central city, county, township, and village) within the Changchun urban agglomeration, China. During spring, summer, and autumn of 2023, surface soil and atmospheric mercury concentrations (at 0 cm and 100 cm) were measured using LUMEX RA-915+ at 361 sites. Soil mercury exhibited seasonal variability, with a mean concentration of 46.2 µg/kg, showing peak values in spring and troughs in summer; concentrations decreased by 29.40% from spring to summer, followed by a 27.85% rebound in autumn. Spatially, soil mercury concentrations exhibited a core–periphery decreasing gradient (central city > county > township > village). Average concentrations at county, township, and village levels were 9.92%, 35.07%, and 42.11% lower, respectively, than those in the central city. Atmospheric mercury displayed seasonal variations; mean concentrations at 0 cm and 100 cm heights were 6.13 ng/m³ and 6.75 ng/m³, respectively, both peaking in summer. At 0 cm, summer concentrations increased by 35.61% compared to spring, then declined by 35.96% in autumn; at 100 cm, summer concentrations rose by 49.39% from spring and decreased by 31.08% in autumn. Atmospheric mercury at both heights decreased from the central city to the peripheries, with reductions of approximately 40% at 0 cm and 37–39% at 100 cm. Atmospheric mercury dynamics were significantly correlated with meteorological parameters such as temperature and humidity. Spatial autocorrelation analysis revealed scale-dependent clustering patterns: soil mercury Moran’s I ranked central city > county > village > township, while atmospheric mercury followed township > village > county > central city. Structural equation modeling demonstrated that different spatial scales had a significant negative effect on soil mercury concentrations, atmospheric mercury concentrations at 0 cm and 100 cm, and mercury and its compounds emissions. Organic matter content had a significant positive effect on soil mercury content. Temperature and humidity positively influenced near-surface atmospheric mercury. This multi-scale approach elucidates urban agglomeration mercury dynamics, highlighting core–periphery pollution gradients and seasonal patterns, thereby providing empirical evidence for regional mercury transport studies and providing a scientific foundation for future heavy metal management strategies. Full article

In the context of global climate change, carbon emission trading (CET) has become a critical tool for driving urban green economic transformation. Since 2011, China has launched CET pilot programs, supporting the achievement of the “dual carbon” goals. Studying the relationship between CET and urban green economic efficiency is essential for advancing urban green economic transitions. However, the existing research is limited by its single-perspective approach, insufficient exploration of mechanisms, and weak heterogeneity analysis, which restricts a comprehensivethe comprehensiveness of our understanding of policy effects. To address these gaps, this study is the first to integrate macro-regional data with micro-enterprise behavior, evaluating the impact of CET on urban green economic efficiency from a dual macro–micro perspective, thereby filling the research void in macro–micro data integration. At the macro level, this study employs panel data from 281 Chinese cities spanning 2007 to 2020, using fixed-effects and difference-in-differences (DID) models to assess the impact of CET on urban green economic efficiency. At the micro level, a game-theoretic pricing decision model is constructed to reveal behavioral differences among enterprises in complete and incomplete information markets and their indirect effects on green economic efficiency. The findings indicate that CET significantly enhances urban green economic efficiency, with technological innovation, green finance, and industrial structural upgrading serving as mediating mechanisms. Heterogeneity analysis shows that the effects are more pronounced in eastern, non-resource-based, small-to-medium-sized, and non-old industrial cities. The game-theoretic model further demonstrates that enterprises in complete information markets more effectively indirectly enhance green economic efficiency through CET mechanisms. By combining macro and micro perspectives, this study provides a new theoretical framework and practical insights for understanding the policy effects of CET. However, limitations such as data confined to Chinese pilots and model simplifications remain. Future research should expand data dimensions, allowing researchers to more comprehensively evaluate policy outcomes. Full article

Given the increasing scarcity of natural resources and the global imperative for sustainable development, the relationship between land resource allocation and green economic efficiency remains crucial but underexplored. This study, utilizing land transfer data from China Land Market Network, examines 285 cities at or above the prefectural level in China from 2007 to 2019. By applying a modified Slake-Based Measure (SBM) directional distance function model (MSBM), the study quantifies green economic efficiency and develops various panel models to investigate the impact of land resource misallocation on urban green economic efficiency. The findings indicate that land resource misallocation significantly impedes the enhancement of urban green economic efficiency. This is primarily achieved through the reduction in human capital investment and the weakening of technological conversion capabilities, both of which adversely affect the development of green economies in cities. Furthermore, government performance levels are shown to play a pivotal role in moderating the relationship between land resource misallocation and green economic efficiency, with regional heterogeneity evident between cities in old industrial bases and those in non-old industrial bases. These results underscore the critical importance of rational land resource allocation in improving green economic efficiency and facilitating the achievement of high-quality urban development. Full article

China’s rapid urbanization has spurred significant economic growth, but it has also given rise to challenges such as urban sprawl, ecological degradation, and inefficient land use—issues that impede progress toward green and sustainable development. Land is the spatial foundation for green development, and promoting its green utilization is essential for advancing the high-quality development of urban spaces. As a concrete implementation of the innovation-driven development strategy, the National Innovative City Pilot Policy (NICPP) serves as a crucial driver in fostering high-quality development. In this context, the NICPP and green land use can be seen as two complementary components of achieving high-quality development. This study uses panel data from 266 cities across China and applies a difference-in-differences (DID) model to evaluate the effect of the NICPP on urban land green use efficiency (ULGUE), exploring the underlying mechanisms through the lenses of industrial structure and technological innovation. The results indicate that the NICPP significantly and robustly enhances ULGUE. The effect varies geographically and by city type, with the most pronounced benefits observed in eastern cities, non-resource-based cities, and non-old industrial base cities. Additionally, the NICPP contributes to improved comprehensive output benefits during land use activities and reduced pollutant emissions by optimizing industrial structures and enhancing technological innovation capacity, thereby promoting ULGUE. Therefore, in the future, the focus should be on integrating innovation with strategic policies. These findings carry profound implications for urban development in China and provide important lessons for promoting sustainable urban growth on a global scale. Full article

Haze pollution control is integral to green development, and fiscal and taxation policies are fundamental mechanisms supporting this effort. This study leverages the implementation of China’s Environmental Protection Tax (EPT) Law as a quasi-natural experiment to assess the impact and mechanisms of the greening of the tax system on haze pollution based on panel data from 281 prefecture-level cities in China from 2012 to 2021. The findings indicate that (1) the implementation of the EPT Law significantly reduces haze pollution, with results confirmed after a series of robustness tests; (2) the EPT Law controls haze pollution through promoting cleaner industrial structure, fostering green technological innovation, and strengthening the rigidity of environmental law enforcement; (3) fiscal decentralization enhances the inhibitory effect of the implementation of the EPT Law on haze pollution; (4) the haze-reduction effect of the EPT Law is especially notable in non-old industrial bases, areas with less pressure on officials’ promotions, and areas with higher public environmental awareness. This study not only enriches research on the policy effects of the EPT Law but also contributes to the environmental sustainable development goal of greening the tax system and continuously fighting for blue skies. Full article

In the context of accelerating global climate change, it has become increasingly important to study the vital relationship between industrial agglomeration and urban carbon emissions for sustainable development. The present study focuses on the influence of industrial agglomeration on urban carbon emissions, by investigating a sample of 280 prefecture-level cities in China from 2009 to 2021. Methodologically, this study empirically tests the effect of industrial agglomeration on the urban carbon emissions through the use of a spatial Durbin model and mediating effect model. The following are the main conclusions: first, the impact of industrial agglomeration on urban carbon emissions shows an inverted U-shaped relationship, which first intensifies and then inhibits, and has spatial spillover effect; second, industrial agglomeration has different impacts on urban carbon emissions in the eastern, central and western regions. Industrial agglomeration shows different impacts on urban carbon emissions between resource-based and non-resource-based cities. Industrial agglomeration shows different impacts on urban carbon emissions between old industrial cities and non-old industrial cities. Third, green technology innovation and green talent agglomeration mediate the relationship between industrial agglomeration and urban carbon emissions. This study highlights the significance of industrial agglomeration in promoting sustainable urban development and offers valuable insights for the planning and formulation of industrial development policies. Full article

Given the growing concerns over environmental degradation and the demand for sustainable development, the Chinese government has implemented several fiscal incentive policies to enhance environmental governance. Taking the phased comprehensive demonstration cities of the Energy Saving and Emission Reduction Fiscal Policy (ESERFP) as an exogenous shock, this study uses a staggered difference-in-differences method to evaluate the impact of the fiscal incentive policy on pollution control using panel data from 268 prefecture-level cities in China from 2003 to 2017. The results indicate that the industrial pollutant emissions in the demonstration cities significantly decreased compared with those in the non-demonstration cities under the influence of the ESERFP. Specifically, industrial wastewater discharges in the demonstration cities decreased by 15.5% while industrial sulfur dioxide emissions decreased by 19.5%. Moreover, promoting industrial structure upgrades and green technology innovations are the main mechanisms of the ESERFP in reducing industrial pollution emissions. Furthermore, the emission-reduction effect of the ESERFP is more significant in areas with more fiscal resources, lower promotion incentives based on local economic performance, greater emphasis on environmental protection, and those with no old industrial bases. Further analysis shows that the positive effect of the ESERFP on pollution control in the demonstration cities remains relatively effective after the demonstration period ends, and the policy does not sacrifice economic dividends. Overall, this study explores the impact of fiscal incentive policies designed to achieve environmental improvements via pollution control, offering valuable fiscal policy insights for China and other developing economies seeking solutions to environmental pollution, including fiscal incentive policy formulation and implementation, fiscal incentives to support regional green transformations, improving the differentiation and precision of fiscal incentives and enhancing environmental performance assessment. Full article

Improving energy utilization efficiency is a crucial means to achieve energy conservation, emission reduction, and green development. At present, to establish a high-quality development framework and satisfy the growing need for a better life among all its people, China must steadfastly pursue the path of green development. Although China’s substantial economic scale and achievements in ecological civilization construction provide favorable conditions for green transformation, there remains a significant gap compared to developed countries in the application of green and clean technologies. Confronted with technological bottlenecks, leveraging emerging technologies such as industrial robots from the new round of scientific and technological revolutions to improve the green total factor energy efficiency (GTFEE) is of critical importance to China’s green development. This study explores the potential impact of industrial robots on enhancing China’s GTFEE. It begins by reviewing the current research landscape in this field, highlighting its shortcomings, and theorizing potential impact pathways of industrial robots. Subsequently, the paper analyzes data from 2010 to 2019 on the usage of industrial robots and GTFEE across 276 cities at the prefectural level or above in China. Through empirical regression models that incorporate control variables and interaction terms, the study investigates the specific impacts of industrial robots on energy efficiency and their mechanisms of action. The results indicate that industrial robots significantly enhance the GTFEE of Chinese cities, especially in the Northeastern region. Industrial robots notably improve the GTFEE in resource-based cities, old industrial bases, and low-carbon pilot cities. Additionally, robots indirectly boost GTFEE by increasing labor productivity. Enhanced levels of green innovation and environmental regulations also positively moderate the effectiveness of industrial robots in improving energy efficiency. The findings of this research can assist local government agencies in coordinating and implementing policies that are conducive to green development, making better use of industrial robots to serve the people, and are of significant importance for promoting the transformation of China’s economy and society towards high-quality development. Full article

The development of the circular economy is an important way for China to achieve its carbon peak and carbon neutrality goals on schedule. In this paper, we use the construction of circular economy demonstration cities as a quasi-natural experiment to systematically evaluate the carbon reduction effect of the circular economy pilot policy using the multi-period Differences-in-Differences (DID) model and Spatial-Differences-in-Differences (Spatial-DID) model. The research findings indicate that the circular economy pilot policy may effectively restrain the intensity of carbon emissions and the volume of carbon emissions, primarily driving carbon reduction in resource-based cities, old industrial base cities, and cities in the central regions, rather than universally exerting a significant impact on energy conservation and carbon reduction in all cities. Government investment in technology and the improvement of factor allocation structure play a mediating role in the carbon reduction effect of the circular economy pilot policy, while the intensity of public management plays a moderating role. When considering the externalities of urban networks, it becomes evident that the policy exhibits a notable spatial spillover effect. This not only significantly propels local efforts to reduce carbon emissions but also exerts a “demonstration effect” on the surrounding areas. The spillover effect on carbon emissions volume surpasses that on carbon emission intensity. This study offers empirical evidence for the ongoing promotion of the circular economy pilot policy nationwide, facilitating the achievement of cities’ dual carbon goals. Full article