{"title":"How do green product exports affect carbon emissions? Evidence from China","authors":"Kangyin Dong, Jiaman Li, Xiucheng Dong","doi":"10.1016/j.cjpre.2023.06.001","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.001","url":null,"abstract":"<div><p>Green development has become an increasingly important global initiative. Therefore, this study focuses on the impact of green product exports on carbon emissions in China. Firm-level datasets are used to estimate provincial green product exports between 2001–2016. This study estimates the impact of green exports on carbon emissions using the system generalized method of moments methodology. In addition, heterogeneity and asymmetry of the nexus are explored. The following findings are highlighted: (1) China’s green product exports show a significant upward trend during the study period; (2) increased green product exports, especially those of high-technology manufacturers, can effectively mitigate CO<sub>2</sub> emissions; (3) the influence of green product exports on carbon emissions is regional heterogeneous but consistent across quantiles; and (4) technique and scale effects are significant mediators, whereas the composition effect is not. These findings provide new evidence supporting methods to mitigate China’s CO<sub>2</sub> emissions by adjusting green product export structures.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 43-51"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49897181","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":"Impact of minimalism on consumers’ low-carbon innovation behavior: Interactive role of quantitative behavior","authors":"Jian Gao , Liyu Tang , Yang Lyu","doi":"10.1016/j.cjpre.2023.06.005","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.005","url":null,"abstract":"<div><p>Minimalism has become a new consumer trend that can guide low-carbon innovation behaviors. This study uses two experiments and one survey to explore the mechanisms underlying the relationships among minimalism, quantitative behavior, and low-carbon innovation behavior. The results show that (1) minimalism can positively influence consumers’ low-carbon innovation behavior; (2) the interactive effect of minimalist and quantitative behavior on low-carbon innovation behavior is significant; and (3) meaning in life can play a significant mediating role in the relationship between minimalism and low-carbon innovation behavior. Finally, corresponding strategies for theory and management practices are proposed.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 82-91"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49843839","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}
Sha Yu , Yongjian Pu , Lefeng Shi , Hao Yu , Yixiang Huang
{"title":"High-quality development of China’s power industry: Measurement, spatial pattern, and improvement paths","authors":"Sha Yu , Yongjian Pu , Lefeng Shi , Hao Yu , Yixiang Huang","doi":"10.1016/j.cjpre.2023.06.008","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.008","url":null,"abstract":"<div><p>As the largest manufacturing country, China is striving to improve the development quality of its power industry with the goal of Carbon Peaking <em>and</em> Carbon Neutrality, in order to sustain its high-quality economic growth. In this regard, it is of importance to reveal both the regional development level of China’s power sector and its characteristics in terms of inspiring the next improvement direction. Motived by this purpose, this paper constructs an evaluation indicator system from three dimensions at the province level based on the connotation of high-quality development of the power industry (HDPI). Next, it calculates the HDPI indexes of 30 provinces and explore their development trend and spatial pattern. The results indicate that the total comprehensive performance of all regions was improved in general in the recent decade, but the spatial distribution characteristics of clean, low-carbon, safe and efficient are different. In the aspects of improvement space in future, not only do actively ameliorate the related management regimes or technical fields so as to improve the corresponding indicators’ value, but also passively rely on the macro-development such as China’s urbanization level improvement, technological level improvement, and industrial structure upgrading as usual.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 92-102"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49843840","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}
Defu Zhao , Jiahai Yuan , Shan Fu , Yan Song , Yuan Wang , Yanyan Liu , Jian Zhang
{"title":"Does economic growth stimulate energy consumption? New evidence from national and regional levels in China","authors":"Defu Zhao , Jiahai Yuan , Shan Fu , Yan Song , Yuan Wang , Yanyan Liu , Jian Zhang","doi":"10.1016/j.cjpre.2023.06.003","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.003","url":null,"abstract":"<div><p>A detailed investigation of the nexus between economic growth and energy use is imperative for formulating sustainable development policies. In this study, we examine panel cointegration and causality relations among economic growth, energy use, capital stock, and labor in 30 Chinese provinces between 2000–2019. We conduct a comprehensive empirical analysis based on panel modeling and a neoclassical production function. The findings of the second-generation panel unit root and co-integration tests reveal that these variables have long-term co-integration linkages. We then perform a panel cointegration estimation using the fully modified ordinary least squares technique and find that total energy consumption, electricity consumption, capital stock, and labor significantly influence economic growth at the national and regional levels in China. Moreover, the outcomes of the Dumitrescu-Hurlin causality test indicate the existence of a two-way causal nexus between economic output and total energy consumption at the national level, but only a causal link from GDP to total energy use in the eastern and central regions. Conversely, a causality from total energy use to economic output is identified in the western region. Finally, we provide policy implications for the sustainable development of both energy and the economy at the national and regional levels.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 60-70"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49897180","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":"Government subsidies, dual-credit policy, and enterprise performance: Empirical evidence from Chinese listed new energy vehicle companies","authors":"Lingling Pei , Hui Kong , Yiyin Xu","doi":"10.1016/j.cjpre.2023.06.004","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.004","url":null,"abstract":"","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 71-81"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49897182","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":"Modeling urban land use dynamics using Markov-chain and cellular automata in Gondar City, Northwest Ethiopia","authors":"Ergo Beyene , Amare Sewnet Minale","doi":"10.1016/j.cjpre.2023.06.007","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.007","url":null,"abstract":"<div><p>Modeling urban land-use dynamics is critical for urban experts’ and infrastructure managers’ planning. This study attempts to explore the land-use/land-cover (LULC) dynamics of Gondar using satellite images from 1984 to 2020. Markov-Chain and Cellular Automata (MC-CA) models have been recognized as performing well in predicting urban land-use change. However, only a few models work in Ethiopia in general, and no study in Gondar has applied this approach to study urban land-use patterns. Therefore, Gondar land-use/land-cover changes of Gondar were predicted using the MC-CA model in IDRISI. The built-up area in Gondar city covered 1 413 ha (3% of the total area) in 1984 and increased to 2 380 ha (5%) in 1994; 21 153 ha (45.5%) in 2004; 22 622 ha (48.7%) in 2014; and 23 427 ha (50.5%) in 2020. The area has been predicted to reach 57.5% in the 2050s, showing a faster increase that will cause a very vast loss of farmland. This will increase urban sprawl challenges as well as overall environmental disequilibrium in the preceding decade. Thus, innovative and careful structures and systems in urban planning are required to secure a sustainable urban future and to make our cities livable and competitive in the paradigm of sustainable cities.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 111-120"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49843842","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}
Jin Ren, Tingting Gao, Xin Shi, Xinrui Chen, Keyi Mu
{"title":"The impact and heterogeneity analysis of digital financial inclusion on non-farm employment of rural labor","authors":"Jin Ren, Tingting Gao, Xin Shi, Xinrui Chen, Keyi Mu","doi":"10.1016/j.cjpre.2023.06.006","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.006","url":null,"abstract":"<div><p>This study examines the effects of digital financial inclusion on non-farm employment of rural labor and the mediating mechanism of innovation and entrepreneurship activity using China Family Panel Studies (CFPS) and the provincial index of digital financial inclusion. Through the empirical test of the Probit model and mediation effect model, we found that: firstly, digital financial inclusion can promote non-farm employment of rural labor, with the level of digitalization having the most significant impact; secondly, by encouraging innovation and entrepreneurial activity, digital financial inclusion can promote non-farm employment of rural labor; thirdly, the driving effect of digital financial inclusion on non-farm employment of rural labor is more pronounced among the unmarried, eastern region, and male labor. Therefore, we should improve the construction of rural digital infrastructure and accelerate the development of inclusive rural finance to promote more diversified non-farm employment options for “disadvantaged groups”; encourage and support innovation at the government level, and create a favorable atmosphere for innovation and entrepreneurship. Simultaneously, farmers’ digital literacy and financial knowledge should be improved so that more can adopt and take advantage of digital financial inclusion.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 103-110"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49843841","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":"Has China-ASEAN Trade opening increased China’s carbon emissions?","authors":"Yanchun Yi, Yixin Geng, Mingxin Yang","doi":"10.1016/j.cjpre.2023.06.002","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.06.002","url":null,"abstract":"<div><p>This study uses carbon emission data at the provincial level in China between 1998–2018 and the proportion of the total import and export trade between provinces and the Association of Southeast Asian Nations (ASEAN) in GDP to measure the level of China-ASEAN trade openness. It examines the impact of China-ASEAN trade openness on carbon emissions and its transmission mechanism, and selects the RMB/USD exchange rate as an instrumental variable to address the endogeneity of China-ASEAN trade openness variables. The impact of China-ASEAN trade openness on China’s environment is estimated within a two-stage least squares framework. The results show that trade openness between China and ASEAN positively impacts China’s environment and can facilitate carbon emission reduction. The scale, structural, and technology effects brought by China-ASEAN trade liberalization jointly promote China’s carbon dioxide emission reduction. An inverted “U” relationship is found between economic growth and environmental quality in China, and some provinces and municipalities have now crossed the inflection point of the curve, in which carbon emi-ssions decrease with an increase in per capita wealth.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 2","pages":"Pages 52-59"},"PeriodicalIF":9.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49843838","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}
Sha Yu , Yongjian Pu , Lefeng Shi , Hao Yu , Yixiang Huang
{"title":"Regional difference and dynamic evolution of development quality of power industry in China","authors":"Sha Yu , Yongjian Pu , Lefeng Shi , Hao Yu , Yixiang Huang","doi":"10.1016/j.cjpre.2023.03.001","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.03.001","url":null,"abstract":"<div><p>To achieve the goals of carbon peaking and carbon neutrality and maintain high-quality economic growth, China is currently striving to improve the quality of development of its power sector. In this regard, revealing the regional differences and evolutionary trends in the development quality of China’ power sector has a high value to inspire the next improvement direction toward how to integrate regional power recourses to an overall optimization level. Motived by this purpose, this paper uses the entropy method to evaluate the comprehensive and subsystem indices of the development quality of the power industry, and reveals their regional differences and evolutionary trends with the help of the Dagum Gini coefficient and Kernel density estimation methods. The findings show that: There are obvious regional differences in the development quality of China’s power industry, and the differences are steadily declining in all regions except the West. Regional differences are mainly derived from inter-regional differences, with the largest inter-regional differences in the East-Northeast region. Intra-regional differences show a distribution pattern of East > West > Northeast > Center.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 1","pages":"Pages 1-12"},"PeriodicalIF":9.3,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49893269","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":"Whether the digital economy will successfully encourage the integration of urban and rural development: A case study in China","authors":"Yafei Wang, Qingyun Peng, Chao Jin, Jin Ren, Yuanyuan Fu, Xiaofeng Yue","doi":"10.1016/j.cjpre.2023.03.002","DOIUrl":"https://doi.org/10.1016/j.cjpre.2023.03.002","url":null,"abstract":"<div><p>The digital economy has become an important driver for stimulating economic growth. The digital economy has now widely penetrated the fields of economy and society, providing new opportunities for the development of urban-rural integration. Based on panel data for 30 provinces in China from 2011 to 2020, this study constructed an index system for the integration of the digital economy and the development of urban–rural areas and conducted a systematic measurement analysis. Additionally, we used a two-step system of GMM estimation to analyze the impact of the digital economy on the development of urban-rural integration. The findings demonstrate the significant imbalance paradox of China’s digital economy development, which is shown in a gradient where the eastern region is higher than the center and the central region is higher than the west. Urban-rural integration levels in China fluctuate and display geographical variance, typically displaying high levels in the east and low levels in the west. Urban-rural integration is significantly encouraged by the digital economy, yet it varies in variability between different areas and dimensions. Additionally, rural human capital moderates the favorable effects of the digital economy on urban-rural integration. As a result, in order to achieve the integrated development of urban and rural areas, it is imperative to fully exploit the active role of the digital economy, better support the development of rural revitalization, bridge the “digital divide” between urban and rural development, and build a strong foundation for the formation of a digital urban-rural integrated development pattern with urban and rural areas and common construction and sharing.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"21 1","pages":"Pages 13-25"},"PeriodicalIF":9.3,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49790797","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}