Chinese Journal of Population Resources and Environment最新文献

{"title":"Effective reduction of agricultural carbon emissions via land-use- structure adjustment: A case study of Sichuan Province, Southwest China","authors":"Yuan He,&nbsp;Yusen Wu,&nbsp;Xin Yang","doi":"10.1016/j.cjpre.2025.07.009","DOIUrl":"10.1016/j.cjpre.2025.07.009","url":null,"abstract":"<div><div>China is currently the largest emitter of carbon dioxide globally. The nation, vulnerable to the imminent challenges of climate change and greenhouse gas emissions, is determined to reduce emissions. Thus, by adopting a systems-theory approach, this study is aimed at examining how the agricultural lands, output values, production activities, and populations, as well as the economic factors, influence carbon emissions in Sichuan Province. To offer insights into the long-term agricultural carbon emission (ACE) trajectories, a system dynamics model is used to predict the emission trends from 2023 to 2040. The findings indicate the following: ① policy regulation exerts influence on the ACE in the province. As per the simulation results, regulating the gross domestic product growth of the primary industry at 2.5%, 5%, and 10% will only increase the carbon emissions by 0.24%, 0.25%, and 0.53%, respectively, by 2040, indicating that effective policy regulations can decouple economic growth from substantial increases in emissions, thereby underscoring their pivotal role in emission control. ② Regulating the agricultural-economy growth rate and policies can effectively reduce ACEs in the province. ③ While single policies exert limited influence, combining multiple measures significantly boosts carbon reduction. For example, comprehensive strategies, including reduced pesticide use and marginal farmland conversion, can lower agricultural land carbon emissions by 3.48%, 5.30%, and 7.47% (by 2035) and 1.67%, 2.76%, and 3.65% (by 2040). Overall, these results emphasize the effectiveness of coordinated policies, alongside market control and land-use adjustments, in advancing low-carbon agricultural development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 3","pages":"Pages 386-396"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Alternative or complementary? Growth and environmental effects in urban manufacturing agglomeration under dual carbon goals","authors":"Yujun Ji,&nbsp;Shuang Liang,&nbsp;Qingchao Tang","doi":"10.1016/j.cjpre.2025.07.004","DOIUrl":"10.1016/j.cjpre.2025.07.004","url":null,"abstract":"<div><div>In the context of China’s dual carbon goals, transforming traditional manufacturing agglomeration into green manufacturing agglomeration is pivotal in aligning economic development with environmental protection, ultimately contributing to the country’s high-quality economic growth. This study examines the dynamic nonlinear effects of manufacturing agglomeration on economic development, energy consumption, environmental pollution, and green total factor productivity. We developed a theoretical framework that considered local government constraints and incentives as transition variables and employed panel data from 280 cities at or above the prefecture level in China from 2006 to 2020 using a Panel Smooth Transition Regression model. The results reveal that, first, under both constraints and incentives, a single threshold effect exists beyond which the positive impact of manufacturing agglomeration on economic development, energy consumption, and environmental pollution gradually weakens. Second, the spatiotemporal evolution of manufacturing agglomeration shows that traditional manufacturing agglomerations are gradually spreading from the central and western regions to the resource-based regions in the eastern part of the country, while green manufacturing agglomerations are shrinking annually. Third, a comparative analysis indicates that, in both developed and developing countries, manufacturing agglomeration effects are strongest when government constraints do not exceed the threshold. However, in developing countries, when this threshold is surpassed, the momentum for green transformation becomes insufficient. Finally, digital infrastructure positively promotes the green transformation of manufacturing agglomerations, although its effects are influenced by other factors.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 3","pages":"Pages 324-336"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental Phillips and Kuznets curves in organization for economic cooperation and development states: Fresh insights","authors":"Muhammad Tahir ,&nbsp;Umar Burki ,&nbsp;Talal H. Alsabhan ,&nbsp;Mohammad Jaboob ,&nbsp;Usama Najam ,&nbsp;Maran Marimuthu","doi":"10.1016/j.cjpre.2025.07.002","DOIUrl":"10.1016/j.cjpre.2025.07.002","url":null,"abstract":"<div><div>This research extends the literature on the environmental Phillips curve (EPC) and environmental Kuznets curve (EKC) by focusing on the 38 member economies of the Organization for Economic Co-operation and Development (OECD). Using panel data from 2000 to 2021, the study employs several econometric techniques, including fixed effects, feasible generalized least squares, two-stage least squares, and the generalized method of moments. Our primary findings reveal that unemployment has a significant negative impact on CO₂ emissions, thereby supporting the validity of the EPC hypothesis within OECD countries. This suggests a trade-off between unemployment and reductions in CO₂ emissions. Similarly, the results validate the EKC hypothesis, with further analysis indicating that the EKC exhibits an N-shaped curve—an important contribution to the literature on environmental dynamics in advanced economies. Additionally, the results show that both trade openness and renewable energy usage have significantly improved environmental quality in OECD economies. Finally, extensive causality testing identifies both one-way and two-way causal relationships among the key variables examined. These findings have important policy implications for the management of environmental quality and macroeconomic variables in the OECD context.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 3","pages":"Pages 301-309"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does the digital economy affect ecological welfare performance? Evidence from 285 prefecture-level cities in China","authors":"Xiaoyu Song,&nbsp;Lin Zhao,&nbsp;Chunting Zhang,&nbsp;Xuebo Zhang","doi":"10.1016/j.cjpre.2025.05.012","DOIUrl":"10.1016/j.cjpre.2025.05.012","url":null,"abstract":"<div><div>As a novel economic paradigm that drives high-quality economic development, the digital economy (DE) can potentially significantly enhance the utilization efficiency of ecological resources and improve human well-being. Based on panel data from 285 prefecture-level cities in China spanning 2011–2021, this study empirically investigates the direct effects, transmission mechanisms, and spatial spillover effects of the DE on ecological welfare performance (EWP) using benchmark regression, intermediary effects, and spatial Durbin models. The results show that the DE significantly improved EWP in Chinese cities. This conclusion remains valid even after controlling for relevant influencing factors. Two transmission paths—upgrading of the industrial structure (UIS) and green innovation (GI)—significantly impacted EWP, as verified by the mediation effect model. Additionally, the mediating effect of the UIS was stronger than that of GI. Spatial heterogeneity tests show that the DE had significant effects on the EWP of eastern cities, with little impact on the central and western cities. Accordingly, grounded in regional developmental disparities, the empowering effects of the DE must be fully harnessed to foster an ecological civilization and enhance the well-being of the populace.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 283-294"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the process and outcomes of the first Global Stocktake under the Paris Agreement","authors":"Yamin Zhou ,&nbsp;Jiahua Pan","doi":"10.1016/j.cjpre.2025.05.001","DOIUrl":"10.1016/j.cjpre.2025.05.001","url":null,"abstract":"<div><div>Global Stocktake is an important component of the global climate governance mechanism. The first Global Stocktake under the Paris Agreement in 2023 has clarified collective progress and identified the paths to bridge gaps, but its understanding in the academic and policy communities is not yet systematic and comprehensive. Therefore, this study adopts textual analysis, timeline analysis, and game theory methods to comprehensively analyze the process and outcomes of the first Global Stocktake. The study finds that: ① The first Global Stocktake underwent three stages, including scientific enhancement, technical dialogue, and political consensus, and took more than five years to reach the final outcome of the United Arab Emirates (UAE) Consensus in which the 1.5 °C temperature control target anchored in the scientific enhancement stage set the general tone for the stocktake. ② The first Global Stocktake focused on three specific areas—mitigation, adaptation, means of implementation and support—to fully realize the signaling effect. ③ The most prominent outcome of the stocktake is the new consensus on “transitioning away from all fossil fuels in energy systems”, which specifies the direction for countries to update their nationally determined contributions in 2025 and for the international community to conduct the second Global Stocktake in 2028. ④ The four groups of countries, namely, developed countries, emerging economies, hydrocarbon-exporting-oriented economies, and climate-vulnerable countries, have different interests and hold distinct core positions, which constrain each other but advance the global stocktake process as a whole. ⑤ The outcomes of the stocktake are comprehensive and systematic, with as many as 196 consensus items; however, the detailed targets for the three major focus areas are unclear and rigid, and need to be strengthened in the second global stocktake. The study suggests that, on the one hand, China needs to strengthen its policy research in the light of the outcomes of the first Global Stocktake and prepare for the submission of updated nationally determined contribution in 2025 for 2035, which should be consistent with the 1.5 °C temperature control target. On the other hand, China should continue to take advantage of the zero-carbon industry to lead global climate change action and expand national development right and international communication capacity.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 143-152"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global greenhouse gas emissions in the 21st century: Complex network, driver pattern and economy-based interaction","authors":"Chong Xu ,&nbsp;Yuchen Gao ,&nbsp;Min Lv","doi":"10.1016/j.cjpre.2025.05.002","DOIUrl":"10.1016/j.cjpre.2025.05.002","url":null,"abstract":"<div><div>Achieving a reduction in global greenhouse gas (GHG) emissions requires collaborative efforts from the international community; however, a comprehensive understanding of the spatiotemporal characteristics (i.e., complex emission networks and driver patterns) and the mutual influence of gross domestic product (GDP) and GHG emissions remains limited at a global level in the 21st century, which is not conducive to forming a consensus in global climate change negotiations and formulating relevant policies. To fill these gaps, this study comprehensively analyzes the complex network and driver pattern of GHG emissions, as well as the corresponding mutual influence with GDP for 185 countries during 2000–2021, based on social network analysis, the logarithmic Divisia decomposition approach, and panel vector autoregression model at global and regional levels. The results indicate that significant heterogeneity and inequality exist in terms of GHG emissions among regions and countries in different geographical areas and economic income levels. Additionally, GDP per capita and GHG emission intensity are the largest positive and negative drivers, respectively, affecting the increase in global GHG emissions. Furthermore, key countries, such as Germany and Canada, that could serve as coordinating bridges to strengthen collaboration in the global emission network are identified. This study highlights the need to encourage key participants in the emission network and foster international cooperation in governance, energy technology, and economic investment to address climate change.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 153-167"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial pattern of the Chinese economy and spatial heterogeneity of its influential factors: An empirical study based on nighttime lighting data","authors":"Yifeng Hai ,&nbsp;Yuanjie Deng ,&nbsp;Hang Chen ,&nbsp;Dingdi Jize ,&nbsp;Ji Luo","doi":"10.1016/j.cjpre.2025.05.007","DOIUrl":"10.1016/j.cjpre.2025.05.007","url":null,"abstract":"<div><div>China’s economy has developed rapidly since its reform and opening-up. However, the different rates of development in various places due to location and policies have led to significant economic differences. Based on the nighttime lighting data of 281 municipal spatial units in China from 2013 to 2021, this study uses spatial autocorrelation, center of gravity shift, and standard deviation ellipse (SDE) analysis to examine the evolution of the spatial pattern of China’s municipal economy. Based on these, it uses a geographically weighted regression (GWR) model to explore the factors influencing the differences in China’s municipal economy and its spatial heterogeneity. The paper reveals the following results. First, China’s municipal economy as a whole shows a growing trend. Second, the SDE shows a “north-south” distribution pattern, and the concentration of China’s economic development has slightly increased, with a significant centripetal distribution. Third, spatial correlation shows spatial positive correlation, the degree of which is increasing, with strong spatial heterogeneity and regional agglomeration. Finally, measuring the influencing factors according to GWR, the industrial structure and education expenditure coefficients generally show a decreasing trend from the southeast coast to the northwest and inland due to the degree of transformation of industrial structure and the lagging effect of education expenditure on economic growth. Conversely, the innovation driver and urban area coefficients show a decreasing trend from the northwest inland to the southeast coast due to the law of diminishing marginal utility of innovation drivers and differences in urbanization development. Government expenditure coefficients show a higher trend in the East and a lower trend in the West due to policy favoritism and market development level. This research can serve as a theoretical reference for China to achieve high-quality development and move toward common prosperity.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 220-235"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managerial myopia and urban carbon emissions: The mediating role of corporate green innovation and the moderating role of environmental multifaceted governance","authors":"Yafei Wang ,&nbsp;Man Luo ,&nbsp;Junnan Liu ,&nbsp;Shiyuan Cheng ,&nbsp;Luyao Zhang ,&nbsp;Min Zhong","doi":"10.1016/j.cjpre.2025.05.004","DOIUrl":"10.1016/j.cjpre.2025.05.004","url":null,"abstract":"<div><div>This study explores the externalities caused by managerial myopia from the perspective of carbon emissions in urban areas. Using panel data from 194 Chinese cities and 1 286 listed companies from 2012 to 2021, this study empirically examines the effect of managerial myopia on urban carbon emissions. We integrate the “1+N” policy framework under China’s dual-carbon goals of peaking emssions by 2030 and achieving carbon neutrality by 2060, and propose a dual governance framework. The results show that managerial shortsightedness significantly contributes to urban carbon emissions, and this effect is particularly pronounced in cities with higher levels of carbon emissions and in first- and second-tier central cities. The mediating effect analysis indicate that managerial shortsightedness increases urban carbon emissions by inhibiting corporate green technological innovation. The moderating effect analysis shows that public media attention and government environmental regulation effectively mitigate the adverse impact of managerial myopia on urban carbon emissions. Theoretically, this study reveals the mechanism by which managerial shortsightedness increases urban carbon emissions by inhibiting green technology innovation and emphasizes the key roles of public media attention and government environmental regulation in mitigating this negative effect. This study provides important implications for policy rationale, especially for developing countries, for promoting green innovation and strengthening environmental governance to reduce carbon emissions.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 181-192"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resource constraints and bricolage: The moderating role of entrepreneurs’ creativity cognitive style","authors":"Tao Shen ,&nbsp;Shuxing Chen","doi":"10.1016/j.cjpre.2025.05.010","DOIUrl":"10.1016/j.cjpre.2025.05.010","url":null,"abstract":"<div><div>This study examines the moderating role of entrepreneurs’ creative cognitive styles in the relationship between resource constraints and bricolage. Drawing on insights from cognitive psychology and entrepreneurial research, we explore how divergent and convergent thinking influence the extent to which entrepreneurs engage in bricolage under resource limitations. Bricolage refers to the creative recombination of available resources to address challenges and seize opportunities, a process often adopted by firms facing financial or knowledge constraints. Yet, individual cognitive differences may determine how effectively entrepreneurs can employ bricolage as a strategic response to scarcity. We propose that divergent thinking—the capacity to generate multiple creative solutions and identify novel resource combinations—strengthens the positive association between resource constraints and bricolage. In contrast, convergent thinking, which emphasizes logical analysis and the pursuit of a single optimal solution, weakens this association. To test these propositions, we collected survey data from 183 entrepreneurs in the United States and employed moderated regression analyses to examine the interactions among cognitive styles, resource constraints, and bricolage behaviors. Our findings reveal that divergent thinking significantly enhances the effect of both financial and knowledge constraints on bricolage, enabling entrepreneurs to creatively leverage limited resources. Conversely, convergent thinking appears to diminish the likelihood of engaging in bricolage when resources are scarce. These results highlight the importance of individual cognitive styles in shaping strategic responses to resource scarcity and contribute to a more nuanced understanding of entrepreneurial bricolage. The study offers practical implications for firms operating in resource-constrained environments by suggesting that enhancing divergent thinking abilities may facilitate more effective resource recombination. Future research should investigate additional cognitive factors and employ longitudinal designs to capture the dynamic nature of entrepreneurial decision-making. These insights open new avenues for further innovative entrepreneurial practices.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 261-269"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the relationship between trade adjustment and forest density in lower, lower-middle, upper-middle, and high-income countries","authors":"Rizwan Akhtar ,&nbsp;Jamal Hussain ,&nbsp;Zhuang Miao ,&nbsp;Lingchao Li ,&nbsp;Tran Cuong ,&nbsp;Baodong Cheng ,&nbsp;Rashid Ali ,&nbsp;Sajjad Haider ,&nbsp;Hajira Murad Ali","doi":"10.1016/j.cjpre.2025.05.009","DOIUrl":"10.1016/j.cjpre.2025.05.009","url":null,"abstract":"<div><div>Forests are essential for both ecological and economic aspects. Most rural people in developing countries rely on forest resources for their livelihood. Since 1980, trade has substantially affected forest cover, density, and management in developing countries. Few studies have examined how changes in trade structure and international trade in primary commodities affect forest density. To better understand the relationship between trade, trade structure adjustment, and forest density, this study examined 52 developing countries across four income levels: high income (HI), low income (LI), upper-middle income (UMI), and lower-middle income (LMI). We compared studies on historical changes in forest cover with those on forest density. For alternative outcomes, we used a generalized method of moments (GMM) model for the entire panel and a random-effects model for various income categories. The results show that the percentage of non-primary goods exported (PNPEXP) and total manufacturing and services exported (TEXP) significantly impact forest density. This suggests that trade and trade structure can improve a country’s forest density conditions.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 246-260"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}