Pub Date : 2024-12-01DOI: 10.1016/j.cjpre.2024.11.007
Yunlin He , Tianshu Yu , Jiangming Ma
Urban sustainability assessment is an effective method for objectively presenting the current state of sustainable urban development and diagnosing sustainability-related issues. As the global community intensifies its efforts to implement the sustainable development goals (SDGs), the demand for assessing progress in urban sustainable development has increased. This has led to the emergence of numerous indicator systems with varying scales and themes published by different entities. Cities participating in these evaluations often encounter difficulties in matching indicators or the absence of certain indicators. In this context, urban decision-makers and planners urgently need to identify substitute indicators that can express the semantic meaning of the original indicators and consider the availability of indicators for participating cities. Hence, this study explores the relationships of substitution between indicators and constructs a collection of substitute indicators to serve as a reference for sustainable urban development assessment. Specifically, building on a review of international and Chinese indicators related to urban sustainability assessment, this study employs natural semantic analysis methods based on the Word2Vec model and cosine similarity algorithm to calculate the similarity between indicators related to sustainable urban development. The results show that the Skip-gram algorithm with a word vector dimensionality of 600 has the best performance in terms of calculating the similarity between sustainable urban development assessment indicators. The findings provide valuable insights into selecting substitute indicators for future sustainable urban development assessment, particularly in China.
{"title":"Substitutability of urban sustainability assessment indicators: A semantic similarity analysis","authors":"Yunlin He , Tianshu Yu , Jiangming Ma","doi":"10.1016/j.cjpre.2024.11.007","DOIUrl":"10.1016/j.cjpre.2024.11.007","url":null,"abstract":"<div><div>Urban sustainability assessment is an effective method for objectively presenting the current state of sustainable urban development and diagnosing sustainability-related issues. As the global community intensifies its efforts to implement the sustainable development goals (SDGs), the demand for assessing progress in urban sustainable development has increased. This has led to the emergence of numerous indicator systems with varying scales and themes published by different entities. Cities participating in these evaluations often encounter difficulties in matching indicators or the absence of certain indicators. In this context, urban decision-makers and planners urgently need to identify substitute indicators that can express the semantic meaning of the original indicators and consider the availability of indicators for participating cities. Hence, this study explores the relationships of substitution between indicators and constructs a collection of substitute indicators to serve as a reference for sustainable urban development assessment. Specifically, building on a review of international and Chinese indicators related to urban sustainability assessment, this study employs natural semantic analysis methods based on the Word2Vec model and cosine similarity algorithm to calculate the similarity between indicators related to sustainable urban development. The results show that the Skip-gram algorithm with a word vector dimensionality of 600 has the best performance in terms of calculating the similarity between sustainable urban development assessment indicators. The findings provide valuable insights into selecting substitute indicators for future sustainable urban development assessment, particularly in China.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 4","pages":"Pages 436-442"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156733","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}
Pub Date : 2024-12-01DOI: 10.1016/j.cjpre.2024.11.015
Lingling Zhang , Ling Yang
This study explores the challenges and strategies of home care models for older adults with disabilities in China. The following challenges have been identified: limited policy support and lack of effective connections between different systems, pressure on caregivers, underestimation of caregivers’ value, and inadequate service capacity of community institutions. Evidence-based suggestions to promote the development of home care models for older adults with disabilities include establishing a family caregiver compensation mechanism and psychological support system, strengthening community health centers from quantity to service capabilities for aging-in-place services, and promoting the integration of pension, disability, and health insurance systems.
{"title":"Exploration of home care models for disabled older adults in China: Challenges and choices","authors":"Lingling Zhang , Ling Yang","doi":"10.1016/j.cjpre.2024.11.015","DOIUrl":"10.1016/j.cjpre.2024.11.015","url":null,"abstract":"<div><div>This study explores the challenges and strategies of home care models for older adults with disabilities in China. The following challenges have been identified: limited policy support and lack of effective connections between different systems, pressure on caregivers, underestimation of caregivers’ value, and inadequate service capacity of community institutions. Evidence-based suggestions to promote the development of home care models for older adults with disabilities include establishing a family caregiver compensation mechanism and psychological support system, strengthening community health centers from quantity to service capabilities for aging-in-place services, and promoting the integration of pension, disability, and health insurance systems.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 4","pages":"Pages 526-530"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156809","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}
Pub Date : 2024-12-01DOI: 10.1016/j.cjpre.2024.11.004
Yuan Liu , Yunqi Li , Jingjing Hao , Lingxuan Sun
In the lithium-ion battery (LIB) supply-chain, transactions involve several rounds of ordering, production and delivery between LIB suppliers and electric vehicle (EV) manufacturers. The sustainable performance of LIB suppliers, related to various characteristics, significantly affects the participants’ sustainable reputations. The EV-LIB supply-chain transaction mechanism is explored from the perspective of the exchange economy comprehensively addressing both short-term economic profit and long-term sustainable reputation. Specifically, a “profit-reputation” utility function is proposed to reflect participants’ expectations regarding cooperation profit and sustainable reputation. Additionally, an Edgeworth box model is developed to describe the participant’s balance determinations as a contract curve, revealing the Pareto conditions for mutually beneficial transactions based on sustainable performance. Furthermore, several principal-agent models are established to analyze the equilibrium of sustainable transactions within the EV-LIB supply-chain under varying dominance scenarios. A case study of an EV-LIB transaction is conducted to demonstrate the feasibility and effectiveness. This study aims to assist supply chain managers, researchers and decision-makers in exploring the role of participant’s sustainable reputation and its influence on supply-chain transaction and equilibrium, particularly in the context of designing cooperative contracts and negotiation process to foster sustainable supply chains.
{"title":"Sustainable reputation of lithium-ion battery supplier and its impact on transaction equilibrium in the electric vehicle supply chain","authors":"Yuan Liu , Yunqi Li , Jingjing Hao , Lingxuan Sun","doi":"10.1016/j.cjpre.2024.11.004","DOIUrl":"10.1016/j.cjpre.2024.11.004","url":null,"abstract":"<div><div>In the lithium-ion battery (LIB) supply-chain, transactions involve several rounds of ordering, production and delivery between LIB suppliers and electric vehicle (EV) manufacturers. The sustainable performance of LIB suppliers, related to various characteristics, significantly affects the participants’ sustainable reputations. The EV-LIB supply-chain transaction mechanism is explored from the perspective of the exchange economy comprehensively addressing both short-term economic profit and long-term sustainable reputation. Specifically, a “profit-reputation” utility function is proposed to reflect participants’ expectations regarding cooperation profit and sustainable reputation. Additionally, an Edgeworth box model is developed to describe the participant’s balance determinations as a contract curve, revealing the Pareto conditions for mutually beneficial transactions based on sustainable performance. Furthermore, several principal-agent models are established to analyze the equilibrium of sustainable transactions within the EV-LIB supply-chain under varying dominance scenarios. A case study of an EV-LIB transaction is conducted to demonstrate the feasibility and effectiveness. This study aims to assist supply chain managers, researchers and decision-makers in exploring the role of participant’s sustainable reputation and its influence on supply-chain transaction and equilibrium, particularly in the context of designing cooperative contracts and negotiation process to foster sustainable supply chains.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 4","pages":"Pages 399-409"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156730","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}
Pub Date : 2024-12-01DOI: 10.1016/j.cjpre.2024.11.010
Maomao Yan , Feng Yang , Lingna Liu , Dehua Guo , Chao Li
Cities are key to countries’ strategies for achieving the UN’s sustainable development goals (SDGs). In China, evaluating cities’ sustainable development (CSD) processes and abilities requires establishing an indicator library for cities’ sustainable development (ILCSD). Based on the SDG framework, and referring to typical evaluation systems and international standards, this study proposes an ILCSD, aiming to promote new urbanization and high-quality development in China. Using a step-by-step “eliminate–replace–augment” indicator selection method that takes mature indicators from existing standards for city evaluation, we form an ILCSD that responds to the SDGs while meeting China’s specific needs. Using the ILCSD, cities can select a set of indicators to assess and monitor their strengths and weaknesses. Through empirical analysis, we verify the feasibility of using ILCSD to construct a CSD evaluation system for Beijing, China. For the first time, ILCSD has established a mapping relationship between the core indicators from domestic and foreign standards of city development and the SDGs . It provides a tool for cities in different regions, at different stages of development and with different endowment types to select high-quality indicators according to local conditions, effectively solving the “last mile” problem of SDGs implementation at the city level. In the process of implementing indicators, we further suggest that important indicators with incomplete statistical data should nevertheless be included in the scope of cities’ statistical monitoring. This study’s findings can facilitate China’s contribution to global sustainable development indicators and to future revisions of international standards.
{"title":"Construction of an indicator library for cities’ sustainable development","authors":"Maomao Yan , Feng Yang , Lingna Liu , Dehua Guo , Chao Li","doi":"10.1016/j.cjpre.2024.11.010","DOIUrl":"10.1016/j.cjpre.2024.11.010","url":null,"abstract":"<div><div>Cities are key to countries’ strategies for achieving the UN’s sustainable development goals (SDGs). In China, evaluating cities’ sustainable development (CSD) processes and abilities requires establishing an indicator library for cities’ sustainable development (ILCSD). Based on the SDG framework, and referring to typical evaluation systems and international standards, this study proposes an ILCSD, aiming to promote new urbanization and high-quality development in China. Using a step-by-step “eliminate–replace–augment” indicator selection method that takes mature indicators from existing standards for city evaluation, we form an ILCSD that responds to the SDGs while meeting China’s specific needs. Using the ILCSD, cities can select a set of indicators to assess and monitor their strengths and weaknesses. Through empirical analysis, we verify the feasibility of using ILCSD to construct a CSD evaluation system for Beijing, China. For the first time, ILCSD has established a mapping relationship between the core indicators from domestic and foreign standards of city development and the SDGs . It provides a tool for cities in different regions, at different stages of development and with different endowment types to select high-quality indicators according to local conditions, effectively solving the “last mile” problem of SDGs implementation at the city level. In the process of implementing indicators, we further suggest that important indicators with incomplete statistical data should nevertheless be included in the scope of cities’ statistical monitoring. This study’s findings can facilitate China’s contribution to global sustainable development indicators and to future revisions of international standards.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 4","pages":"Pages 469-480"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156815","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}
Pub Date : 2024-12-01DOI: 10.1016/j.cjpre.2024.11.011
Yufei Wang , Yixin Hu , Jingyi Liu
Having experienced a high economic growth rate, China is entering into a low one as the country needs to carry out policy reforms for better governance. In recent years, the national park system reform has been one of the pilot policies that has attracted great attention from local governments and the public. The central government established corresponding management systems during the institutional restructuring in 2018, and five out of ten pilots were selected due to their good performance on policy reform in 2021. This paper provides an overview of the policy background, a general introduction to the system, and a discussion of policy implementations. Our research suggests that China’s national parks need to improve their laws and regulations and establish an eco-compensation mechanism to encourage residents to participate in conservation and receive increasing benefits through green development.
{"title":"Overview of China’s national park system reform process","authors":"Yufei Wang , Yixin Hu , Jingyi Liu","doi":"10.1016/j.cjpre.2024.11.011","DOIUrl":"10.1016/j.cjpre.2024.11.011","url":null,"abstract":"<div><div>Having experienced a high economic growth rate, China is entering into a low one as the country needs to carry out policy reforms for better governance. In recent years, the national park system reform has been one of the pilot policies that has attracted great attention from local governments and the public. The central government established corresponding management systems during the institutional restructuring in 2018, and five out of ten pilots were selected due to their good performance on policy reform in 2021. This paper provides an overview of the policy background, a general introduction to the system, and a discussion of policy implementations. Our research suggests that China’s national parks need to improve their laws and regulations and establish an eco-compensation mechanism to encourage residents to participate in conservation and receive increasing benefits through green development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 4","pages":"Pages 481-492"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156845","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}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.008
Houbo Zhou , Lijie Gao , Longyu Shi , Qiuli Lv
In response to the United Nations Sustainable Development Goals and China’s “Dual Carbon” Goals (DCGs means the goals of “Carbon Peak and carbon neutrality”), this paper from the perspective of the construction of China’s Innovation Demonstration Zones for Sustainable Development Agenda (IDZSDAs), combines carbon emission-related metrics to construct a comprehensive assessment system for Urban Sustainable Development Capacity (USDC). After obtaining USDC assessment results through the assessment system, an approach combining Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest (RF) based on machine learning is proposed for identifying influencing factors and characterizing key issues. Combining Coupling Coordination Degree (CCD) analysis, the study further summarizes the systemic patterns and future directions of urban sustainable development. A case study on the IDZSDAs from 2015 to 2022 reveals that: (1) the combined identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban sustainable development process; (2) the correspondence between influencing factors and key subsystems identified by the LASSO-RF combination model is generally consistent with the development situations in various cities; and (3) the machine learning-based combined recognition method is scalable and dynamic. It enables decision-makers to accurately identify influencing factors and characterize key issues based on actual urban development needs.
{"title":"Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning","authors":"Houbo Zhou , Lijie Gao , Longyu Shi , Qiuli Lv","doi":"10.1016/j.cjpre.2024.09.008","DOIUrl":"10.1016/j.cjpre.2024.09.008","url":null,"abstract":"<div><div>In response to the United Nations Sustainable Development Goals and China’s “Dual Carbon” Goals (DCGs means the goals of “Carbon Peak and carbon neutrality”), this paper from the perspective of the construction of China’s Innovation Demonstration Zones for Sustainable Development Agenda (IDZSDAs), combines carbon emission-related metrics to construct a comprehensive assessment system for Urban Sustainable Development Capacity (USDC). After obtaining USDC assessment results through the assessment system, an approach combining Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest (RF) based on machine learning is proposed for identifying influencing factors and characterizing key issues. Combining Coupling Coordination Degree (CCD) analysis, the study further summarizes the systemic patterns and future directions of urban sustainable development. A case study on the IDZSDAs from 2015 to 2022 reveals that: (1) the combined identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban sustainable development process; (2) the correspondence between influencing factors and key subsystems identified by the LASSO-RF combination model is generally consistent with the development situations in various cities; and (3) the machine learning-based combined recognition method is scalable and dynamic. It enables decision-makers to accurately identify influencing factors and characterize key issues based on actual urban development needs.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 3","pages":"Pages 291-304"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533887","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}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.010
Xuesong Zhan , Huize Zhang , Yufei Zhao , Yu He , Dazheng Li , Fang Wang , Yufen Zhang , Chaofeng Shao
In China, the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initiative for executing the United Nations (UN) 2030 Agenda for Sustainable Development. The Zone also plays critical roles in addressing the developmental bottlenecks that China faces and sharing Chinese insights into global sustainable development efforts. On July 15, 2022, the State Council endorsed the Zone’s establishment in Zaozhuang City, Shandong Province, where it focuses on innovation-led sustainable development in rural areas. Research into the levels, impediments, interdependencies, and evolutionary trends of rural sustainable development is crucial. Therefore, this research aimed to assist in comprehensively assessing developmental challenges and facilitating the harmonious advancement of social, economic, and environmental aspects in rural areas. In pursuit of the three fundamental dimensions of the UN’s Sustainable Development Goals (SDGs), namely development’s drivers, quality, and equity, this study was grounded in China’s national Rural Revitalization Strategy and the demands of sustainable development strategies. It also aligns with the UN 2030 Agenda for Sustainable Development and the associated SDG indicators. Focusing on four key areas, namely production elements, natural elements, social elements, and rural governance, this study developed an evaluation index system for assessing the level of rural sustainable development. It employed a range of analytical models, including the game theory-based combination empowerment method, barrier degree model, coupling degree model, coupling coordination degree model, and gray prediction GM(1,1) model, to analyze the status and evolving trends of rural sustainable development in Zaozhuang City from 2015 to 2022. The key findings were as follows: ① Relative to the baseline year 2015, the sustainable development level in Zaozhuang’s rural areas has shifted toward an improved state overall. ② The primary barrier to achieving rural sustainable development in Zaozhuang is the city’s rural governance system. ③ While the components of rural sustainable development in Zaozhuang are in the early stages of both basic and moderate coordination, an overall enhancement has occurred in their integrative coordination. ④ Between 2023 and 2025, the level of integrative coordination in Zaozhuang is expected to rise steadily. However, reaching a state of advanced coordination will require additional time for development.
{"title":"Assessment of rural sustainable development and analysis and prediction of obstacles and coupled coordinated development: A case study of Zaozhuang City","authors":"Xuesong Zhan , Huize Zhang , Yufei Zhao , Yu He , Dazheng Li , Fang Wang , Yufen Zhang , Chaofeng Shao","doi":"10.1016/j.cjpre.2024.09.010","DOIUrl":"10.1016/j.cjpre.2024.09.010","url":null,"abstract":"<div><div>In China, the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initiative for executing the United Nations (UN) 2030 Agenda for Sustainable Development. The Zone also plays critical roles in addressing the developmental bottlenecks that China faces and sharing Chinese insights into global sustainable development efforts. On July 15, 2022, the State Council endorsed the Zone’s establishment in Zaozhuang City, Shandong Province, where it focuses on innovation-led sustainable development in rural areas. Research into the levels, impediments, interdependencies, and evolutionary trends of rural sustainable development is crucial. Therefore, this research aimed to assist in comprehensively assessing developmental challenges and facilitating the harmonious advancement of social, economic, and environmental aspects in rural areas. In pursuit of the three fundamental dimensions of the UN’s Sustainable Development Goals (SDGs), namely development’s drivers, quality, and equity, this study was grounded in China’s national Rural Revitalization Strategy and the demands of sustainable development strategies. It also aligns with the UN 2030 Agenda for Sustainable Development and the associated SDG indicators. Focusing on four key areas, namely production elements, natural elements, social elements, and rural governance, this study developed an evaluation index system for assessing the level of rural sustainable development. It employed a range of analytical models, including the game theory-based combination empowerment method, barrier degree model, coupling degree model, coupling coordination degree model, and gray prediction GM(1,1) model, to analyze the status and evolving trends of rural sustainable development in Zaozhuang City from 2015 to 2022. The key findings were as follows: ① Relative to the baseline year 2015, the sustainable development level in Zaozhuang’s rural areas has shifted toward an improved state overall. ② The primary barrier to achieving rural sustainable development in Zaozhuang is the city’s rural governance system. ③ While the components of rural sustainable development in Zaozhuang are in the early stages of both basic and moderate coordination, an overall enhancement has occurred in their integrative coordination. ④ Between 2023 and 2025, the level of integrative coordination in Zaozhuang is expected to rise steadily. However, reaching a state of advanced coordination will require additional time for development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 3","pages":"Pages 312-325"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533182","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}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.004
Xia Wang , Qi Ye , Yan Du , Mao Zhou
The building sector plays a crucial role in the worldwide shift toward achieving net-zero emissions. Building energy efficiency standards (BEESs) are highly effective policies for reducing carbon emissions. Therefore, exploring the provincial variations in carbon emission efficiency (CEE) in the building sector and identifying the effect of BEESs on CEE is crucial. This study focuses on commercial buildings in China and applies a difference in differences model to evaluate the impact of BEESs on the CEE of commercial buildings. The slacks-based measure–data envelopment analysis model is employed to assess the CEE of commercial buildings in 30 Chinese provinces from 2000 to 2019. Furthermore, heterogeneous tests are used to explore how climate characteristics and economic conditions affect the efficiency of BEESs. The results indicate that BEESs positively influence the CEE of commercial buildings. Specifically, a 1% increase in the intensity of BEESs causes a 0.148 4% increase in the CEE of commercial buildings. Moreover, the impact of BEESs is particularly pronounced in the southern and western provinces. This study provides valuable scientific evidence for governments to enhance BEESs implementation.
{"title":"Effect of building energy efficiency standards on carbon emission efficiency in commercial buildings","authors":"Xia Wang , Qi Ye , Yan Du , Mao Zhou","doi":"10.1016/j.cjpre.2024.09.004","DOIUrl":"10.1016/j.cjpre.2024.09.004","url":null,"abstract":"<div><div>The building sector plays a crucial role in the worldwide shift toward achieving net-zero emissions. Building energy efficiency standards (BEESs) are highly effective policies for reducing carbon emissions. Therefore, exploring the provincial variations in carbon emission efficiency (CEE) in the building sector and identifying the effect of BEESs on CEE is crucial. This study focuses on commercial buildings in China and applies a difference in differences model to evaluate the impact of BEESs on the CEE of commercial buildings. The slacks-based measure–data envelopment analysis model is employed to assess the CEE of commercial buildings in 30 Chinese provinces from 2000 to 2019. Furthermore, heterogeneous tests are used to explore how climate characteristics and economic conditions affect the efficiency of BEESs. The results indicate that BEESs positively influence the CEE of commercial buildings. Specifically, a 1% increase in the intensity of BEESs causes a 0.148 4% increase in the CEE of commercial buildings. Moreover, the impact of BEESs is particularly pronounced in the southern and western provinces. This study provides valuable scientific evidence for governments to enhance BEESs implementation.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 3","pages":"Pages 250-257"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533883","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}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.002
Chao Tu , Zhilong Qin , Qingqing Yang
With intensifying global climate change, humanity is confronted with unparalleled environmental challenges and risks. This study employs the staggered difference-in-difference model to examine the relationship between climate policy and green innovation in the corporate financialization context. Using Chinese-listed company data from 2008 to 2020, our analysis reveals a favorable correlation between China’s carbon emission trading policy (CCTP) and advancements in green innovation. Furthermore, we find that the level of corporate financialization moderates this correlation, diminishing the driving effect of CCTP on green innovation. Additionally, results of heterogeneity analysis show that this moderating consequence is more evident in non-state-owned and low-digitization enterprises compared with state-owned and high-digitization ones. Our findings contribute to the existing literature by clarifying the interaction between CCTP, green innovation, and corporate financialization. Our research provides valuable insights for policymakers and stakeholders seeking to strengthen climate policies and encourages green innovation in different types of businesses.
{"title":"Moderating effect of corporate financialization on the impact of climate policy on corporate green innovation: Evidence from China","authors":"Chao Tu , Zhilong Qin , Qingqing Yang","doi":"10.1016/j.cjpre.2024.09.002","DOIUrl":"10.1016/j.cjpre.2024.09.002","url":null,"abstract":"<div><div>With intensifying global climate change, humanity is confronted with unparalleled environmental challenges and risks. This study employs the staggered difference-in-difference model to examine the relationship between climate policy and green innovation in the corporate financialization context. Using Chinese-listed company data from 2008 to 2020, our analysis reveals a favorable correlation between China’s carbon emission trading policy (CCTP) and advancements in green innovation. Furthermore, we find that the level of corporate financialization moderates this correlation, diminishing the driving effect of CCTP on green innovation. Additionally, results of heterogeneity analysis show that this moderating consequence is more evident in non-state-owned and low-digitization enterprises compared with state-owned and high-digitization ones. Our findings contribute to the existing literature by clarifying the interaction between CCTP, green innovation, and corporate financialization. Our research provides valuable insights for policymakers and stakeholders seeking to strengthen climate policies and encourages green innovation in different types of businesses.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"22 3","pages":"Pages 230-240"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533881","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}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.013
Yang Shen , Pengfei Zhou
Employment is the greatest livelihood. Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an “icing on the cake” or “adding fuel to the fire” needs further study. This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy. First, from the theoretical logic and the economic development law, this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs. Then, based on the panel data of 269 cities in China from 2006 to 2021, we use the two-way fixed effect model, dynamic threshold model, and two-stage intermediary effect model. The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism. Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the “creation effect”. In other words, advanced digital technology has created additional jobs, and the overall supply of employment in the labor market has increased. The conclusion is still valid after the endogeneity identification and robustness test. In addition, the positive effect has a nonlinear effect on the network scale. When the installation density of industrial robots exceeds a particular threshold value, the division of labor continues to deepen under the combined action of the production efficiency and compensation effects, which will cause enterprises to increase labor demand further. Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions. This study concludes that in the digital China era, the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market. This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.
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