Chinese Journal of Population Resources and Environment最新文献

{"title":"Digital-green integration promotes synergistic pollution reduction and carbon mitigation: Mechanism analysis based on whole-process production control","authors":"Jie Xu,&nbsp;Dongpeng Cheng,&nbsp;Xianfeng Han","doi":"10.1016/j.cjpre.2026.05.003","DOIUrl":"10.1016/j.cjpre.2026.05.003","url":null,"abstract":"<div><div>Synergistic pollution reduction and carbon mitigation (SPRCM) are inherent requirements for high-quality development. This study explores the internal mechanisms through which digital-green integration (DGI) policies facilitate SPRCM from the perspective of deep integration between “digitalization” and “greenization”. It aims to provide policy recommendations for coordinating the implementation of the “Digital China” and “Beautiful China” strategies. Using panel data from 280 prefecture-level cities (2010–2022) and treating the overlap between the Big Data Comprehensive Pilot Zone policy and the Low-Carbon City Pilot policy as a quasi-natural experiment for DGI, this study applies a double machine learning model to investigate its impact mechanisms and multidimensional policy effects. The findings indicate that, first, DGI enhances pollution emission efficiency and carbon emission efficiency, generating significant synergistic effects. Second, mechanism analysis based on whole-process production control reveals that during the source prevention stage, DGI drives SPRCM by optimizing the energy structure. At the process control stage, it enhances synchronized SPRCM through improved production efficiency. At the end-of-pipe treatment stage, advancements in green end-of-pipe technologies emerge as the dominant force propelling synergistic effects. Third, heterogeneity analysis reveals that the pollution reduction and carbon mitigation effects of DGI are more pronounced in resource-based cities, innovative cities, and cities within the Yangtze River Economic Belt than in non-resource-based cities, non-innovative cities, and cities outside this strategic economic region. Consequently, a multi⁃pronged policy mix should be implemented to amplify the catalytic role of digital-green policy integration in driving pollution and carbon reduction. Whole-process production controls must be strengthened to streamline mitigation pathways, and region-specific strategies for DGI should be tailored based on local conditions with dynamic guidance.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 2","pages":"Pages 188-199"},"PeriodicalIF":4.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148546560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating protected areas and ecological conservation redlines: A unified regulatory framework for ecological damage in China","authors":"Yinan Zhang,&nbsp;Jian Guo,&nbsp;Chaofeng Shao","doi":"10.1016/j.cjpre.2026.05.008","DOIUrl":"10.1016/j.cjpre.2026.05.008","url":null,"abstract":"<div><div>The integration of the ecological conservation redline and protected areas in China has positioned these zones as pivotal components of national ecological security. The Chinese government identifies ecological damage within these zones using remote sensing monitoring and subsequently implements measures to address and resolve these problems. This constitutes a critical approach for ensuring the stability, diversity, and sustainability of ecosystems. Although the supervision of these areas involves common methodologies, challenges remain, such as unclear regulatory boundaries, inadequate legal frameworks, and inefficient interdepartmental coordination. To address these issues, this study proposes a unified regulatory mechanism aimed at harmonizing oversight, strengthening legal frameworks, standardizing processes, and fostering multidepartment collaboration to ensure scientific and efficient governance. This research advances the field by integrating protected areas and ecological conservation redlines into a cohesive regulatory framework, thereby enhancing supervision efficiency through systematic and unified environmental governance.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 2","pages":"Pages 249-258"},"PeriodicalIF":4.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148546557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supervisory strategies for agroecological security in plateau regions based on a four-party evolutionary game model","authors":"Yuanwei Du,&nbsp;Yiwei Zhang","doi":"10.1016/j.cjpre.2026.05.011","DOIUrl":"10.1016/j.cjpre.2026.05.011","url":null,"abstract":"<div><div>Conflicting interests among multiple stakeholders and regulatory imbalances are challenges faced by agricultural ecosystems in highland regions. Current governance models largely fail to reflect complex interactions among stakeholders, resulting in suboptimal outcomes. To address this problem, this study constructs a four-party asymmetric evolutionary game model that includes the government, regulatory agencies, agricultural enterprises, and local residents to analyze stakeholder strategy choices under different benefit conditions. It innovatively incorporates public supervision incentives and dynamic reward-penalty mechanisms into the regulatory system to demonstrate how the government can influence agricultural enterprises’ strategic choices through mechanism design. The evolution of the system is analyzed using a dynamic equation, and numerical simulations are performed using data on the ecological baseline of the plateau region and socioeconomic parameters. The findings indicate that effective long-term governance of plateau agricultural ecological security depends on the establishment of a reasonable cost-benefit distribution mechanism. Moreover, public participation in supervision mechanisms can effectively guide agricultural enterprises toward eco-friendly behavior. Additionally, dynamic reward-punishment mechanisms are advantageous for achieving long-term ecological security goals. The scientific value of this study lies in proposing a collaborative regulatory mechanism for plateau agricultural ecological security from a game theory perspective, and its research paradigm provides a theoretical reference for complex regulatory problems in other fields. Based on these findings, we recommend a collaborative governance mechanism that combines dynamic rewards and punishments with public participation to improve governance efficiency and achieve the sustainable development of the plateau’s economy and ecology.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 2","pages":"Pages 282-296"},"PeriodicalIF":4.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148546555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of manufacturing agglomeration on carbon productivity in the Yellow River Basin","authors":"Xiaowei Huang,&nbsp;Huaxue Zhao,&nbsp;Yu Cheng","doi":"10.1016/j.cjpre.2026.05.002","DOIUrl":"10.1016/j.cjpre.2026.05.002","url":null,"abstract":"<div><div>In recent years, the manufacturing industry in the Yellow River Basin has gained increasing scholarly and policy attention, driven by the urgent need for green and low-carbon development. This study investigates the impact of spatial evolution—specifically spatial agglomeration—on carbon productivity. The empirical analysis employs a two-way fixed effects model combined with spatial econometric techniques, including the average nearest neighbor index and the global Moran’s <em>I</em>, to assess spatial dynamics. The results indicate that the manufacturing sector in the basin is predominantly technology-intensive. Carbon productivity exhibits an initial decline followed by a recovery, maintaining a “U-shaped” relationship with manufacturing scale. Regarding agglomeration patterns, specialization agglomeration exerts a suppressive effect on carbon productivity, whereas diversification agglomeration contributes to its enhancement. These findings underscore the importance of spatial planning and targeted policy measures in supporting sustainable low-carbon development in the Yellow River Basin.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 2","pages":"Pages 180-187"},"PeriodicalIF":4.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148546559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of impact mechanism of the Yangtze River Delta integration upon county-level air pollution","authors":"Dan Li ,&nbsp;Rongrong Fang ,&nbsp;Yuhang Liu ,&nbsp;Cheng Tang ,&nbsp;Sanmang Wu ,&nbsp;Yalin Lei ,&nbsp;Jiaman Li","doi":"10.1016/j.cjpre.2026.03.007","DOIUrl":"10.1016/j.cjpre.2026.03.007","url":null,"abstract":"<div><div>The Yangtze River Delta (YRD) is one of China’s most economically dense regions with the most dynamic county-level economies. The YRD’s success in addressing air pollution at the county level directly affects the ecological security of the Yangtze River Economic Belt. This study utilizes panel data of 151 counties in the YRD from 2003 to 2022. It regards the expansion of members of the YRD Urban Economic Coordination Council as a quasi-natural experiment. This study analyzes the influence of regional integration on county-level air pollution using the difference-in-differences approach, the synthetic difference-in-differences methodology, and spatial econometrics. Our findings indicate that: (1) regional integration can significantly reduce air pollution at the county level; (2) the environmental impact of regional integration is heterogeneous, influenced by regional differences, administrative constraints, and industrial foundations; and (3) regional integration reduces air pollution through advancing industrial structure and technological innovation, along with spatial spillover impacts. Therefore, policymakers should attach importance to air quality governance in counties, deepen regional integration strategies, optimize industrial structures, enhance technological innovation, and strengthen collaborative environmental governance to continuously promote regional sustainable development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 77-93"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636802","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":"Underlying drivers of temporal-spatial energy consumption from the perspective of the government in China","authors":"Chong Xu ,&nbsp;Huiyu Yang ,&nbsp;Xiaoqin Xie","doi":"10.1016/j.cjpre.2026.03.004","DOIUrl":"10.1016/j.cjpre.2026.03.004","url":null,"abstract":"<div><div>Energy consumption (EC) is a core factor in maintaining sustainable development; little is known about the drivers of temporal-spatial EC changes and the corresponding inequality from the perspective of government, thereby weakening the policy implications for energy conservation and emission reduction. To fill this gap, this study uses spatial-temporal logarithmic mean Divisia index models and extended Theil index inequality models to investigate the drivers of EC changes and inequality, considering the scale and structure of governmental environmental expenditure (EG) across 30 Chinese provinces from 2007 to 2021. The findings reveal that: First, EG acts as a positive driver of total EC, while industrial investment efficiency and fiscal expenditure pressure exert negative effects. Second, disparities in EG functions act as a negative driver, accounting for a 4.56% decrease in average interprovincial EC gaps. Third, China’s EC inequality demonstrated an overall upward trajectory from 0.074 to 0.093 over the period, mainly driven by positive contributions from inequalities in EG and the fiscal expenditure structure. This study highlights the importance of optimizing the government expenditure structure and scale in formulating policies for sustainable EC.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 41-53"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636799","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":"Effects of manufacturing agglomeration on PM2.5 and spatial spillover in prefecture-level cities in China","authors":"Dan Wang ,&nbsp;Hongxiao Zhao ,&nbsp;Yun Wang ,&nbsp;Yu Cheng","doi":"10.1016/j.cjpre.2026.03.006","DOIUrl":"10.1016/j.cjpre.2026.03.006","url":null,"abstract":"<div><div>Agglomeration supports the high-quality development of the manufacturing industry, and its associated resource and environmental effects play a crucial role in driving green economic development. Based on data from prefecture-level cities in China from 2005 to 2019, this study employs the inverse distance weighting method, the bivariate local indicator of spatial association model, the spatial Durbin model, and other techniques to explore the relationship between manufacturing agglomeration and PM_2.5 concentrations, and to assess the impact of its manufacturing agglomeration. Four correlation patterns are observed: high–high, low–low, high–low, and low–high. Among these, high–high and low–low patterns dominate in terms of number of cities. These correlation patterns demonstrate strong temporal stability, with a clear “Matthew effect”. The effect of manufacturing agglomeration on PM_2.5 levels is significantly negative and helps reduce concentrations regionally, indicating the need to further enhance agglomeration levels regionally. However, it can increase PM_2.5 levels in neighboring areas due to a siphon effect, and the impact of varies across regions. Compared with levels in 2005–2013, the significance of the relationship between manufacturing agglomeration and PM_2.5 weakened in the 2013–2019 period. Accordingly, this study proposes countermeasures and policy recommendations aimed at strengthening regional collaborative governance and inspiring differentiated agglomeration strategies to support sustainable economic development in China.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 67-76"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636801","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":"Adaptation needs and adaptation options vary among different stakeholders in high-latitude protected areas: A case study of the Qiangtang Protected Area in China","authors":"Jianguo Wu,&nbsp;Mengdi Fu","doi":"10.1016/j.cjpre.2026.03.009","DOIUrl":"10.1016/j.cjpre.2026.03.009","url":null,"abstract":"<div><div>It is essential to understand how adaptation needs and options differ among stakeholders in protected areas (PAs) to effectively implement climate change (CC) adaptation strategies. Using the Qiangtang PA in Xizang as a case study, this research examines CC adaptation needs and options from the perspectives of stakeholders across multiple administrative levels, including provincial, prefectural, county authorities, 73 protection stations, and 13 364 pastoralists residing within the PA. The findings show that stakeholders at the provincial level, as well as those from the Ali and Naqu prefectures and six counties, place greater emphasis on institutional and resource-related needs than on other categories (attention score: 7.0–9.3 vs. 5.0–7.0). In contrast, stakeholders from the 73 protection stations prioritize technological and capacity-building needs more strongly than other types (attention score: 8.0–9.0 vs. 4.0–8.0). The 13 364 pastoralists assign the highest importance to social needs relative to other categories (attention score: 9.0–9.5 vs. 3.0–8.0). Most of the eight existing protection measures were found to indirectly support broader climate adaptation efforts. In particular, protective actions addressing fire, pests, and weather-related disasters can be classified as autonomous adaptation, while other measures generate outcomes that enhance adaptation capacity under specific conditions. Adaptation options, grouped into three main types and 13 subcategories, differ across stakeholder groups, although substantial overlap exists between these options and current protective actions, including ecosystem-based adaptation strategies, adaptation-related practices, autonomous adaptation measures, and emergency interventions. Overall, these findings highlight the critical role of all stakeholders—especially staff from the 73 protection stations and the 13 364 pastoralists—in the effective implementation of adaptation actions within the PA.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 110-128"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636807","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":"Incorporating multiple scenarios and landscape ecological risk to optimize ecological security patterns: A Wei River Basin case study","authors":"Xueting Wu,&nbsp;Jinghu Pan","doi":"10.1016/j.cjpre.2026.03.008","DOIUrl":"10.1016/j.cjpre.2026.03.008","url":null,"abstract":"<div><div>Under the influence of human activities, landscape fragmentation in the Wei River Basin (WRB) has become increasingly severe. Upstream development has intensified soil erosion, and industrial and agricultural pollution in the middle reaches has degraded water quality. Rapid urbanization has further caused habitat fragmentation and biodiversity loss. Collectively, these challenges threaten human well-being and hinder sustainable development, making the construction and optimization of an ecological security pattern (ESP) urgently necessary. However, existing studies often fail to systematically integrate future landscape ecological risk (LER) assessment with ESP optimization. This study evaluated regional LER using the “ecological patches–ecological resistance surface (ERS)–ecological corridor” framework, combined with land-use predictions under three development scenarios, and optimized the ESP by adjusting the ERS and extracting ecological corridors. The results indicate that the LER in the WRB follows an “inverted N” distribution, with low-risk areas concentrated in forested mountain regions and high-risk areas mainly in cultivated land subject to intensive human activity. Across future scenarios, ESPs showed fewer ecological breakpoints and improved landscape connectivity than the 2020 baseline. Scenario-based differences emerged in the spatial configuration of ERS adjustments, with the ecological protection scenario yielding the lowest LER and most favorable ESP. This study demonstrates the deep integration of multi-scenario simulation with LER assessment, providing a new framework for ESP optimization. The findings have guiding significance for ecological protection and coordinated development in the WRB and offer a novel paradigm for sustainable development in ecologically fragile basins worldwide.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 94-109"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636803","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":"Empirical analysis of fostering inclusive green growth: A double machine learning-based quasi-natural experiment","authors":"Yu Yuan,&nbsp;Jing Liu","doi":"10.1016/j.cjpre.2026.03.011","DOIUrl":"10.1016/j.cjpre.2026.03.011","url":null,"abstract":"<div><div>Inclusive green growth (IGG) is a crucial pathway to high-quality economic development, with standardization serving as a key enabler. Standardization plays a critical role in reducing coordination costs and improving resource allocation efficiency by facilitating rule harmonization, factor integration, and collaborative governance. Examining IGG from a standardization perspective helps clarify the mechanisms through which economic, environmental, and social objectives can be jointly realized, and offers new insights into the institutionalized and sustainable pursuit of multiple development goals. However, how standardization promotes IGG by coordinating economic growth, environmental performance, and social equity remains insufficiently explored in the existing literature. Using panel data from 283 prefecture-level Chinese cities (2012–2021), this study treats the comprehensive standardization reform pilot as a quasi-natural experiment and applies a double machine-learning framework to test whether standardization promotes IGG. The analysis further explores the mediating roles of technological innovation, green finance, and employment quality, and examines heterogeneity across geographic location, resource endowment, industrial base, and city hierarchy. It also evaluates the regional coordination effects of standardization. Results show that standardization significantly advances IGG, though its impact varies by regional and structural characteristics. Standardization enhances IGG by strengthening innovation, expanding green finance, and improving job quality. Moreover, it helps bridge geographic divides, narrow interregional disparities, and enhance coordination. These findings offer empirical evidence for policymakers to design targeted standardization strategies that support sustainable and equitable urban development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"24 1","pages":"Pages 138-150"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147636809","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}