Chinese Journal of Population Resources and Environment最新文献_第5页

Emission reduction potential from beverage carton recycling in China 中国饮料纸盒回收的减排潜力

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.009

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}

引用次数: 0

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] “中国在线外卖行业垃圾管理文献综述”的勘误表[中国人口资源与环境学报21 (2023)197-202]

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.11.001

Sha Wang

引用次数: 0

Biased allocation of emission reduction target constraints and urban green competitiveness 减排目标的偏置约束与城市绿色竞争力

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.004

Yingying Xu , Honggui Gao , Meixuan He

{"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}

引用次数: 0

Environmental effects of China’s sustainable development pilot policy: Evidence from the National Innovation Demonstration Zone for Sustainable Development Agenda 中国可持续发展试点政策的环境效应：来自可持续发展议程国家创新示范区的证据

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.001

Yanyu Chen , Zhixiong Tan , Siying Chen , Weijun Zhao

{"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}

引用次数: 0

Impact assessment of the farming–breeding–bioenergy integrated system on agricultural greenhouse gases in Northeast China 东北地区农牧生物能一体化系统对农业温室气体的影响评价

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.010

Zhe Zhao , Yi Zhang , You Xu , Sijian Jiang

{"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}

引用次数: 0

Exploring the impact of energy poverty on carbon inequality in the light of global evidence 根据全球证据，探讨能源贫困对碳不平等的影响

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.003

Lu Zhang , Yan Song , Ming Zhang

{"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}

引用次数: 0

Critical factors influencing consumer purchases of new energy vehicles: Evidence from a hybrid simulation model and machine learning 影响消费者购买新能源汽车的关键因素：来自混合仿真模型和机器学习的证据

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.007

Yong Liu , Xin Chen

{"title":"Critical factors influencing consumer purchases of new energy vehicles: Evidence from a hybrid simulation model and machine learning","authors":"Yong Liu , Xin Chen","doi":"10.1016/j.cjpre.2025.10.007","DOIUrl":"10.1016/j.cjpre.2025.10.007","url":null,"abstract":"<div><div>New energy vehicles are distinguished by their environmentally friendly characteristics; however, their sales remain low compared with those of fossil fuel vehicles. This study identifies the key factors influencing consumer purchases of new energy vehicles with the aim of increasing sales and promoting the development of the new energy vehicle industry. Machine learning (ML) techniques were employed to analyze more than 26 000 consumer reviews of new energy vehicles and identify the factors influencing their purchasing decisions. Subsequently, a hybrid simulation model was constructed using the complex adaptive system framework. The model combines the strengths of ML, multi-agent modeling, and system dynamics modeling, thereby enhancing its capacity to identify key factors. The model comprises two categories of manufacturers: producers of new energy vehicles and producers of fossil fuel vehicles. Dynamic simulations were conducted using the AnyLogic simulation platform. The findings indicated a negative correlation between consumer income and demand for new energy vehicles. Conversely, expansions in the interior space of new energy vehicles and favorable consumer perceptions of their environmental benefits have contributed to increased demand for these vehicles. Therefore, rather than exclusively focusing on price advantages, it would be more beneficial to prioritize expanding new energy vehicles’ interior space and disseminating information about their environmental benefits to consumers. It seems reasonable to posit that these strategies would increase consumer willingness to purchase new energy vehicles in the long term.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 494-504"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847686","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}

引用次数: 0

Assessing the resilience of marine ecological-economic systems: A multi-level approach for sustainable coastal governance 评估海洋生态经济系统的复原力：可持续沿海治理的多层次方法

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.012

Yongsheng Wang , Ye Meng , Hao Zhang , Wentao Wang

{"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}

引用次数: 0

Estimating shadow price of CO2 emissions in China’s construction industry under policy regulations 政策规制下中国建筑业二氧化碳排放影子价格估算

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.008

Xiaoxiao Liu , Mingyue Wang

{"title":"Estimating shadow price of CO2 emissions in China’s construction industry under policy regulations","authors":"Xiaoxiao Liu , Mingyue Wang","doi":"10.1016/j.cjpre.2025.10.008","DOIUrl":"10.1016/j.cjpre.2025.10.008","url":null,"abstract":"<div><div>The marginal abatement cost (MAC) of CO<sub>2</sub> emissions is one of the most critical indicators used to assess energy conservation and emission reduction. Although extensively measured, few studies have incorporated the influence of policy constraints when evaluating MAC. To address this gap, this paper proposes a nonparametric directional distance function approach under policy regulations to estimate the CO<sub>2</sub> shadow price in the construction industry across 30 Chinese provinces from 2010 to 2017. Based on this enhanced method, four key findings emerge: ① the annual CO<sub>2</sub> shadow price exhibits an overall upward trend during the observation period; ② regional shadow prices display marked variation across provinces; ③ regional heterogeneity in shadow prices has increased steadily over time; and ④ both urbanization rate and energy consumption per unit of gross domestic product are significantly negatively correlated with the CO<sub>2</sub> shadow price. Finally, the paper offers several policy recommendations for CO<sub>2</sub> emissions reduction in the Chinese construction industry at the national, industry, and enterprise levels.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 505-519"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847726","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}

引用次数: 0

The role of green innovation in advancing China’s rural revitalization: Evidence from Guangdong’s prefecture-level cities 绿色创新在推动中国乡村振兴中的作用：来自广东地级市的证据

IF 4.8 4区环境科学与生态学

Chinese Journal of Population Resources and Environment Pub Date : 2025-12-01 Epub Date: 2025-12-29 DOI: 10.1016/j.cjpre.2025.10.011

Yeyiyi Xu , Kashif Ullah Khan , Fouzia Atlas

{"title":"The role of green innovation in advancing China’s rural revitalization: Evidence from Guangdong’s prefecture-level cities","authors":"Yeyiyi Xu , Kashif Ullah Khan , Fouzia Atlas","doi":"10.1016/j.cjpre.2025.10.011","DOIUrl":"10.1016/j.cjpre.2025.10.011","url":null,"abstract":"<div><div>This study investigates how green innovation drives rural revitalization in China’s sustainable development framework, focusing on institutional thresholds and spatial heterogeneity. We use panel data from 21 prefecture-level cities in Guangdong Province from 2009 to 2022 and apply a threshold regression model to examine both linear and nonlinear effects of green innovation. The results reveal that green innovation positively influences rural revitalization only after surpassing a critical level of regional innovation capacity. This critical threshold effect indicates that the benefits of green innovation for rural development are unevenly distributed and rely heavily on local absorptive capacity and institutional context. Our findings contribute to sustainability research, highlighting how green innovation interacts with policy-driven rural development goals, particularly in emerging economies. Furthermore, this research provides region-specific policy recommendations to support inclusive, innovation-driven, and environmentally sustainable revitalization strategies. This paper integrates institutional and sustainable development theory to provide a deeper understanding of the dynamic role of technological change in reshaping rural development pathways within the global green transition agenda.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 4","pages":"Pages 545-559"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847677","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}

引用次数: 0