{"title":"Corrigendum to “Critical factors influencing consumer purchases of new energy vehicles: Evidence from a hybrid simulation model and machine learning” [Chinese Journal of Population, Resources and Environment 23 (2025) 494‒504]","authors":"Yong Liu , Xin Chen","doi":"10.1016/j.cjpre.2026.03.013","DOIUrl":"10.1016/j.cjpre.2026.03.013","url":null,"abstract":"","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 165-168"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636811","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":"Effect evaluation of carbon sequestration of grassland ecological compensation policy: Evidence from China’s Yellow River Basin","authors":"Xiao Zhang , Daoxiong Chen , Shunbo Yao","doi":"10.1016/j.cjpre.2026.03.003","DOIUrl":"10.1016/j.cjpre.2026.03.003","url":null,"abstract":"<div><div>The Grassland Ecological Compensation Policy (GECP) is a large-scale project that has been investing in China since 2011. Despite the significant investment and long duration of the GECP, its impact on carbon sequestration in grasslands remains unclear. Based on panel data from prefecture-level cities in the Yellow River Basin (YRB) from 2000 to 2020, this study explored the effects of the GECP on grassland carbon sequestration in the YRB and its heterogeneity using a time-varying difference-in-differences (TV-DID) model. Subsequently, we predicted changes in carbon sequestration in grasslands under the influence of the GECP from 2021 to 2040 using a simulation. The main conclusions are as follows: First, the implementation of the GECP promoted carbon sequestration in grasslands. This conclusion was validated after conducting a series of robustness tests. Moreover, the effects of the GECP were heterogeneous across different geographical locations, highway densities, and grassland areas. Finally, the simulation results indicated that over the next 20 years, grassland carbon sequestration will generally increase but exhibit cyclical changes. The government should align the principles and objectives of the GECP with local geographic conditions, resource availability, and socio-economic development. It must formulate and implement tailored policies that maximize the ecological protection benefits of the GECP and promote carbon sequestration in the grasslands of the YRB.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 27-40"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636749","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":"Cross-border e-commerce pilot zones and corporate carbon emissions reduction: A quasi-natural experiment from China","authors":"Na Jiang , Qianqian Shang , Ge Wu","doi":"10.1016/j.cjpre.2026.03.001","DOIUrl":"10.1016/j.cjpre.2026.03.001","url":null,"abstract":"<div><div>Against the backdrop of accelerated development of new forms of trade, the question of whether rapid expansion of cross-border e-commerce (CBEC) can help to reduce carbon emissions among Chinese enterprises is of great significance for seizing new opportunities in foreign trade, and advancing firms’ green and low-carbon transformation. This study treats the creation of CBEC pilot zones as a quasi-natural experiment, employing panel data from Chinese A-share listed companies matched with city-level information from 2006 to 2021. We construct a multi-period difference-in-differences model to identify the impact of CBEC pilot zone policy on corporate carbon emissions. Our findings indicate the construction of these pilot zones significantly reduces firms’ carbon emissions intensity, and the results are robust across multiple tests. We show the pilot zone initiative contributes to emission reductions by enhancing the adoption of digital infrastructure, promoting green technological innovation, and increasing environmental awareness among enterprises. Quantile regressions reveal pilot zones exert a more pronounced carbon-reduction effect on firms characterized by high carbon emissions intensity and advanced levels of digital transformation. Moreover, the policy effect is especially significant in heavily polluting industries, and regions with weaker governmental environmental regulations or lower public environmental concerns. This study makes an innovative contribution to the literature by empirically verifying the environmental governance effect of establishing CBEC pilot zones, and offers practical guidance for governments in formulating cross-border e-commerce policies and for enterprises pursuing low-carbon development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 1-13"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636796","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":"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}
{"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}
{"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}
Juezhu Chen , Bin Chen , Min Dai , Meili Xue , Yutao Wang
{"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}
{"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}
{"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}
{"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}