Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.002
Pengcheng Bao
Existing research has emphasized the environmental effects of the digital economy. However, the question of whether ecological wealth can stimulate digital economic growth remains unanswered. Using panel data from Chinese cities spanning 2011–2022, this study empirically examines how urban ecological wealth affects digital economy development. The results reveal that ecological wealth significantly promotes digital economy growth, with stronger effects observed in coastal and highly urbanized cities. Mechanism analysis shows that ecological wealth advances digital economy development by fostering green technology innovation and enhancing human capital. Additional tests indicate a significant negative spatial spillover effect, suggesting that local ecological wealth may inhibit digital economy growth in neighboring areas. These findings offer valuable policy insights for strengthening ecological wealth accumulation and advancing digital economy development.
{"title":"Urban ecological wealth and digital economy development: Evidence from China","authors":"Pengcheng Bao","doi":"10.1016/j.cjpre.2025.10.002","DOIUrl":"10.1016/j.cjpre.2025.10.002","url":null,"abstract":"<div><div>Existing research has emphasized the environmental effects of the digital economy. However, the question of whether ecological wealth can stimulate digital economic growth remains unanswered. Using panel data from Chinese cities spanning 2011–2022, this study empirically examines how urban ecological wealth affects digital economy development. The results reveal that ecological wealth significantly promotes digital economy growth, with stronger effects observed in coastal and highly urbanized cities. Mechanism analysis shows that ecological wealth advances digital economy development by fostering green technology innovation and enhancing human capital. Additional tests indicate a significant negative spatial spillover effect, suggesting that local ecological wealth may inhibit digital economy growth in neighboring areas. These findings offer valuable policy insights for strengthening ecological wealth accumulation and advancing digital economy development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 441-449"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847669","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.005
Ruizeng Zhao , Jiasen Sun , Jie Wu
Financial technology (FinTech) has emerged as a key policy instrument for transforming economic development models. Whether it can energize the low-carbon economy and enhance carbon emission efficiency (CEE) has drawn increasing scholarly attention. Using panel data from 278 Chinese cities (2006–2021), this study constructs a quasi-natural experiment and applies a difference-in-differences (DID) model to evaluate the policy effects of FinTech on CEE. Mediation and moderation models further explore the mechanisms underlying this relationship. The findings reveal that FinTech significantly improves CEE, generating policy dividends that advance low-carbon development. This conclusion remains robust under dual machine learning causal inference, propensity score matching DID, and other robustness tests. Financing constraints, innovation level, and industrial structure upgrading fully mediate the effect of FinTech on CEE, where financing constraints and innovation show positive mediation effects, while industrial structure upgrading has a negative one. Moreover, financial agglomeration weakens FinTech’s positive influence on CEE, and the effects differ across regions, development levels, and resource endowments. This study broadens the analytical framework connecting FinTech and CEE and deepens understanding of the mechanisms linking financial innovation to low-carbon transition.
{"title":"Does the integration of finance and technology bring policy dividends for low-carbon development? Quasi-experimental evidence from China","authors":"Ruizeng Zhao , Jiasen Sun , Jie Wu","doi":"10.1016/j.cjpre.2025.10.005","DOIUrl":"10.1016/j.cjpre.2025.10.005","url":null,"abstract":"<div><div>Financial technology (FinTech) has emerged as a key policy instrument for transforming economic development models. Whether it can energize the low-carbon economy and enhance carbon emission efficiency (CEE) has drawn increasing scholarly attention. Using panel data from 278 Chinese cities (2006–2021), this study constructs a quasi-natural experiment and applies a difference-in-differences (DID) model to evaluate the policy effects of FinTech on CEE. Mediation and moderation models further explore the mechanisms underlying this relationship. The findings reveal that FinTech significantly improves CEE, generating policy dividends that advance low-carbon development. This conclusion remains robust under dual machine learning causal inference, propensity score matching DID, and other robustness tests. Financing constraints, innovation level, and industrial structure upgrading fully mediate the effect of FinTech on CEE, where financing constraints and innovation show positive mediation effects, while industrial structure upgrading has a negative one. Moreover, financial agglomeration weakens FinTech’s positive influence on CEE, and the effects differ across regions, development levels, and resource endowments. This study broadens the analytical framework connecting FinTech and CEE and deepens understanding of the mechanisms linking financial innovation to low-carbon transition.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 470-479"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847672","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.006
Xueqin Li , Chenyang Meng , Daqian Shi
Supply chain partnerships are an essential component of business innovations. This study uses data on A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2012 to 2022 to conduct a multi-period difference-in-differences analysis based on a list of green supply chain management (GSM) companies. We find that GSM significantly promotes low-carbon technology innovations (LCT) of upstream enterprises. The mechanism analysis indicates that GSM has a resource effect and signal effect that generate LCT spillovers. In terms of the resource effect, GSM companies offer green credit and support green procurement, thereby providing financial support for green investments in upstream LCT. In terms of a signaling effect, GSM strengthens the effectiveness of institutional investors, the public, and online media in supervising upstream suppliers’ green credentials, thereby promoting upstream LCT. A heterogeneity analysis shows that when midstream companies are state-owned enterprises or industry leaders, and when the concentration and stability of supply chain purchase relationships are higher, the LCT spillover effects of GSM are more pronounced. Further analysis reveals that GSM has bidirectional horizontal spillover effects and that upstream unidirectional vertical spillover effects are limited to first-level suppliers. Additionally, under the premise of not compromising economic benefits and stability, GSM shows an emerging trend of transitioning from environmentally compliant “light green” supply chains to “deep green” supply chains focused on pollution reduction, carbon reduction, and energy conservation.
{"title":"Green supply chain management and low-carbon innovation spillover effects","authors":"Xueqin Li , Chenyang Meng , Daqian Shi","doi":"10.1016/j.cjpre.2025.10.006","DOIUrl":"10.1016/j.cjpre.2025.10.006","url":null,"abstract":"<div><div>Supply chain partnerships are an essential component of business innovations. This study uses data on A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2012 to 2022 to conduct a multi-period difference-in-differences analysis based on a list of green supply chain management (GSM) companies. We find that GSM significantly promotes low-carbon technology innovations (LCT) of upstream enterprises. The mechanism analysis indicates that GSM has a resource effect and signal effect that generate LCT spillovers. In terms of the resource effect, GSM companies offer green credit and support green procurement, thereby providing financial support for green investments in upstream LCT. In terms of a signaling effect, GSM strengthens the effectiveness of institutional investors, the public, and online media in supervising upstream suppliers’ green credentials, thereby promoting upstream LCT. A heterogeneity analysis shows that when midstream companies are state-owned enterprises or industry leaders, and when the concentration and stability of supply chain purchase relationships are higher, the LCT spillover effects of GSM are more pronounced. Further analysis reveals that GSM has bidirectional horizontal spillover effects and that upstream unidirectional vertical spillover effects are limited to first-level suppliers. Additionally, under the premise of not compromising economic benefits and stability, GSM shows an emerging trend of transitioning from environmentally compliant “light green” supply chains to “deep green” supply chains focused on pollution reduction, carbon reduction, and energy conservation.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 480-493"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847685","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.009
Juezhu Chen , Bin Chen , Min Dai , Meili Xue , Yutao Wang
Recycling postconsumer beverage cartons reduces carbon emissions by minimizing both direct emissions from disposal via incineration or landfills, and by reducing the demand for producing virgin materials. However, the contribution that recycling beverage carton could make to China’s carbon reduction ambitions remains unknown. This study establishes a framework for evaluating the carbon emissions reduction potential of recycling postconsumer beverage cartons from a life-cycle perspective and calculates the potential carbon reductions for 31 Chinese provinces, including trajectories for 2030. We identify key factors that could greatly influence the total emissions reduction potential across all provinces, including the proportion of paperboard used and the emission factor of primary aluminum production. We show the incineration rate and electricity emission factor explain variations among provinces when recycling volumes are held constant. Integrated direct extrusion recycling technology has a greater dependence on electricity than the separating method and is therefore more significantly affected by the electricity emission factor. In 2030, recycling under one of five shared Socioeconomic Pathway scenarios considered shows the highest potential for carbon emissions reduction (median = 21 304 tons of CO2 equivalents). This study provides valuable insights for policymakers seeking to quantify subsidy levels and design long-term plans for beverage carton recycling to promote a circular economy.
{"title":"Emission reduction potential from beverage carton recycling in China","authors":"Juezhu Chen , Bin Chen , Min Dai , Meili Xue , Yutao Wang","doi":"10.1016/j.cjpre.2025.10.009","DOIUrl":"10.1016/j.cjpre.2025.10.009","url":null,"abstract":"<div><div>Recycling postconsumer beverage cartons reduces carbon emissions by minimizing both direct emissions from disposal via incineration or landfills, and by reducing the demand for producing virgin materials. However, the contribution that recycling beverage carton could make to China’s carbon reduction ambitions remains unknown. This study establishes a framework for evaluating the carbon emissions reduction potential of recycling postconsumer beverage cartons from a life-cycle perspective and calculates the potential carbon reductions for 31 Chinese provinces, including trajectories for 2030. We identify key factors that could greatly influence the total emissions reduction potential across all provinces, including the proportion of paperboard used and the emission factor of primary aluminum production. We show the incineration rate and electricity emission factor explain variations among provinces when recycling volumes are held constant. Integrated direct extrusion recycling technology has a greater dependence on electricity than the separating method and is therefore more significantly affected by the electricity emission factor. In 2030, recycling under one of five shared Socioeconomic Pathway scenarios considered shows the highest potential for carbon emissions reduction (median = 21 304 tons of CO<sub>2</sub> equivalents). This study provides valuable insights for policymakers seeking to quantify subsidy levels and design long-term plans for beverage carton recycling to promote a circular economy.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 520-532"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847667","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.004
Yingying Xu , Honggui Gao , Meixuan He
The biased allocation of emission reduction target constraints quantifies emission reduction responsibilities and reflects differences in pollutant reductions both across and within cities. This approach represents a systematic innovation aims to enhance China’s green competitiveness and facilitate its economic transformation through localized and precise policymaking. Using panel data from 275 Chinese cities spanning 2000–2022, this study applies the difference-in-differences method to estimate the impact of biased allocation of emission reduction target constraints on urban green competitiveness. The findings indicate that such constraints—whether based on chemical oxygen demand or sulfur dioxide targets—significantly improve urban green competitiveness, with both pollutant-specific constraints producing comparable effects. Furthermore, these constraints exhibit significant spatial spillover effects within a 200-km geographical radius. Heterogeneity analysis reveals stronger policy impacts in resource-based cities, eastern regions, and cities designated as key areas for pollution prevention and control. Mechanism analysis demonstrates that the constraints enhance green competitiveness primarily by fostering green technological innovation and optimizing industrial structures. These conclusions provide a practical foundation for addressing China’s enduring conflict between environmental protection and economic development.
{"title":"Biased allocation of emission reduction target constraints and urban green competitiveness","authors":"Yingying Xu , Honggui Gao , Meixuan He","doi":"10.1016/j.cjpre.2025.10.004","DOIUrl":"10.1016/j.cjpre.2025.10.004","url":null,"abstract":"<div><div>The biased allocation of emission reduction target constraints quantifies emission reduction responsibilities and reflects differences in pollutant reductions both across and within cities. This approach represents a systematic innovation aims to enhance China’s green competitiveness and facilitate its economic transformation through localized and precise policymaking. Using panel data from 275 Chinese cities spanning 2000–2022, this study applies the difference-in-differences method to estimate the impact of biased allocation of emission reduction target constraints on urban green competitiveness. The findings indicate that such constraints—whether based on chemical oxygen demand or sulfur dioxide targets—significantly improve urban green competitiveness, with both pollutant-specific constraints producing comparable effects. Furthermore, these constraints exhibit significant spatial spillover effects within a 200-km geographical radius. Heterogeneity analysis reveals stronger policy impacts in resource-based cities, eastern regions, and cities designated as key areas for pollution prevention and control. Mechanism analysis demonstrates that the constraints enhance green competitiveness primarily by fostering green technological innovation and optimizing industrial structures. These conclusions provide a practical foundation for addressing China’s enduring conflict between environmental protection and economic development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 459-469"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847671","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.11.001
Sha Wang
{"title":"Corrigendum to “Literature review on waste management of online food delivery industry in China” [Chinese Journal of Population, Resources and Environment 21 (2023) 197‒202]","authors":"Sha Wang","doi":"10.1016/j.cjpre.2025.11.001","DOIUrl":"10.1016/j.cjpre.2025.11.001","url":null,"abstract":"","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Page 590"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847675","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}
Exploring the specific environmental impacts and mechanisms of China’s sustainable development pilot policy can enrich and expand China’s institutional and practical experiences, offering valuable insights and references for advancing global environmental sustainability. This study selects the National Innovation Demonstration Zone for Sustainable Development Agenda (NIDZSDA) as the sample and empirically evaluates the effects of the policy on urban environmental quality, using panel data from 74 prefecture-level cities in China between 2006 and 2020. The findings indicate that the sustainable development policy significantly improves urban environmental quality. Two key mechanisms identified are the aggregation of high-quality talent and the enhancement of technological innovation capabilities. Furthermore, the policy exhibits heterogeneous effects across different types of cities, with more pronounced improvements observed in mega and super cities, as well as in resource-based cities.
{"title":"Environmental effects of China’s sustainable development pilot policy: Evidence from the National Innovation Demonstration Zone for Sustainable Development Agenda","authors":"Yanyu Chen , Zhixiong Tan , Siying Chen , Weijun Zhao","doi":"10.1016/j.cjpre.2025.10.001","DOIUrl":"10.1016/j.cjpre.2025.10.001","url":null,"abstract":"<div><div>Exploring the specific environmental impacts and mechanisms of China’s sustainable development pilot policy can enrich and expand China’s institutional and practical experiences, offering valuable insights and references for advancing global environmental sustainability. This study selects the National Innovation Demonstration Zone for Sustainable Development Agenda (NIDZSDA) as the sample and empirically evaluates the effects of the policy on urban environmental quality, using panel data from 74 prefecture-level cities in China between 2006 and 2020. The findings indicate that the sustainable development policy significantly improves urban environmental quality. Two key mechanisms identified are the aggregation of high-quality talent and the enhancement of technological innovation capabilities. Furthermore, the policy exhibits heterogeneous effects across different types of cities, with more pronounced improvements observed in mega and super cities, as well as in resource-based cities.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 431-440"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847727","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.010
Zhe Zhao , Yi Zhang , You Xu , Sijian Jiang
In this study, we constructed an integrated framework of a farming–breeding–bioenergy system to estimate the greenhouse gas (GHG) emission inventories of various farming and breeding processes in the northeast region of China from 2000 to 2021 based on life cycle assessment. Then, we compared the emission differences between the farming–breeding–bioenergy integrated system and the traditional farming–breeding system in different production segments. Finally, we assessed the environmental impact of the integrated system on agricultural GHG emissions. Results showed that the main sources of GHG emissions in Northeast China include enteric fermentation, fertilizer application, crop energy reduction, crop cultivation, and manure management. Emission hotspots also showed a trend of shifting from south to north and from east to west. In terms of environmental impact intensity, the largest increase in environmental impact intensity values among the farming and breeding systems was recorded in Heilongjiang Province (0.36) and Inner Mongolia (0.13), respectively. In terms of mitigation effects, the farming and breeding systems showed a considerable amount of residual straw and manure that can be fed into bioenergy systems, at 1 801.47 and 394.12 Mt, respectively. The farming–breeding–bioenergy integrated system demonstrated mitigating effects on agricultural GHG emissions.
{"title":"Impact assessment of the farming–breeding–bioenergy integrated system on agricultural greenhouse gases in Northeast China","authors":"Zhe Zhao , Yi Zhang , You Xu , Sijian Jiang","doi":"10.1016/j.cjpre.2025.10.010","DOIUrl":"10.1016/j.cjpre.2025.10.010","url":null,"abstract":"<div><div>In this study, we constructed an integrated framework of a farming–breeding–bioenergy system to estimate the greenhouse gas (GHG) emission inventories of various farming and breeding processes in the northeast region of China from 2000 to 2021 based on life cycle assessment. Then, we compared the emission differences between the farming–breeding–bioenergy integrated system and the traditional farming–breeding system in different production segments. Finally, we assessed the environmental impact of the integrated system on agricultural GHG emissions. Results showed that the main sources of GHG emissions in Northeast China include enteric fermentation, fertilizer application, crop energy reduction, crop cultivation, and manure management. Emission hotspots also showed a trend of shifting from south to north and from east to west. In terms of environmental impact intensity, the largest increase in environmental impact intensity values among the farming and breeding systems was recorded in Heilongjiang Province (0.36) and Inner Mongolia (0.13), respectively. In terms of mitigation effects, the farming and breeding systems showed a considerable amount of residual straw and manure that can be fed into bioenergy systems, at 1 801.47 and 394.12 Mt, respectively. The farming–breeding–bioenergy integrated system demonstrated mitigating effects on agricultural GHG emissions.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 533-544"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847668","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.003
Lu Zhang , Yan Song , Ming Zhang
Energy is a cornerstone of modern society that plays a pivotal role in mitigating carbon inequality. This study examines the impact of energy poverty on carbon inequality using global panel data from 2000 to 2019. The findings reveal that alleviating energy poverty effectively reduces carbon inequality, with the most substantial effect observed when improving access to energy services. Notably, reducing poverty leads to a greater increase in per-capita carbon emissions among the poorest 50% of the population than among the top 10%. This is one of the key reasons that reducing energy poverty can mitigate carbon inequality. Moreover, reducing energy poverty through improvements in both the quality and accessibility of energy services can influence carbon inequality by affecting income disparities, limiting employment opportunities, and hindering the utilization of renewable energy sources. Furthermore, reducing energy poverty alleviates carbon inequality in low- and middle-income countries. However, alleviating energy poverty exacerbates carbon inequality in upper-middle-income countries. In light of these findings, this study proposes that governments adopt locally appropriate measures to alleviate energy poverty and strengthen coordinated governance over energy poverty and carbon emissions.
{"title":"Exploring the impact of energy poverty on carbon inequality in the light of global evidence","authors":"Lu Zhang , Yan Song , Ming Zhang","doi":"10.1016/j.cjpre.2025.10.003","DOIUrl":"10.1016/j.cjpre.2025.10.003","url":null,"abstract":"<div><div>Energy is a cornerstone of modern society that plays a pivotal role in mitigating carbon inequality. This study examines the impact of energy poverty on carbon inequality using global panel data from 2000 to 2019. The findings reveal that alleviating energy poverty effectively reduces carbon inequality, with the most substantial effect observed when improving access to energy services. Notably, reducing poverty leads to a greater increase in per-capita carbon emissions among the poorest 50% of the population than among the top 10%. This is one of the key reasons that reducing energy poverty can mitigate carbon inequality. Moreover, reducing energy poverty through improvements in both the quality and accessibility of energy services can influence carbon inequality by affecting income disparities, limiting employment opportunities, and hindering the utilization of renewable energy sources. Furthermore, reducing energy poverty alleviates carbon inequality in low- and middle-income countries. However, alleviating energy poverty exacerbates carbon inequality in upper-middle-income countries. In light of these findings, this study proposes that governments adopt locally appropriate measures to alleviate energy poverty and strengthen coordinated governance over energy poverty and carbon emissions.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 450-458"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847670","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}
Pub Date : 2025-12-01DOI: 10.1016/j.cjpre.2025.10.012
Yongsheng Wang , Ye Meng , Hao Zhang , Wentao Wang
With the increasing high-risk factors in a changing world, building a resilient marine economy is becoming increasingly essential for sustainable coastal governance. This study aimed to assess the resilience of marine ecological-economic systems (MEES) using a multi-level approach. Using Chinese coastal regions as an example, we first developed a conceptual framework to establish the indicators for measuring the resilience of MEES. Subsequently, the study introduced the projection pursuit model, coupling coordination model, and correlation network analysis to unpack the system complexities of resilience development at different levels. The results revealed that the resilience of MEES has expanded nearly twice over the last decade, which is largely attributed to the implementation of a national strategy for building maritime power. Spatial disparities in resilience have increasingly become obvious, with developed regions commonly achieving higher resilience levels while less developed regions present inadequate resilience growth because of a lack of robustness and recoverability. In addition, the coordination of the resilience dimensions has shifted from mild disorder to primary coordination. The resilience indicators related to technological inputs had higher network centralities and significantly affected the dynamics of MEES resilience. The study’s findings provide useful implications for guiding policy arrangements and planning practices in the Chinese coastal regions.
{"title":"Assessing the resilience of marine ecological-economic systems: A multi-level approach for sustainable coastal governance","authors":"Yongsheng Wang , Ye Meng , Hao Zhang , Wentao Wang","doi":"10.1016/j.cjpre.2025.10.012","DOIUrl":"10.1016/j.cjpre.2025.10.012","url":null,"abstract":"<div><div>With the increasing high-risk factors in a changing world, building a resilient marine economy is becoming increasingly essential for sustainable coastal governance. This study aimed to assess the resilience of marine ecological-economic systems (MEES) using a multi-level approach. Using Chinese coastal regions as an example, we first developed a conceptual framework to establish the indicators for measuring the resilience of MEES. Subsequently, the study introduced the projection pursuit model, coupling coordination model, and correlation network analysis to unpack the system complexities of resilience development at different levels. The results revealed that the resilience of MEES has expanded nearly twice over the last decade, which is largely attributed to the implementation of a national strategy for building maritime power. Spatial disparities in resilience have increasingly become obvious, with developed regions commonly achieving higher resilience levels while less developed regions present inadequate resilience growth because of a lack of robustness and recoverability. In addition, the coordination of the resilience dimensions has shifted from mild disorder to primary coordination. The resilience indicators related to technological inputs had higher network centralities and significantly affected the dynamics of MEES resilience. The study’s findings provide useful implications for guiding policy arrangements and planning practices in the Chinese coastal regions.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 560-569"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847676","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}
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