作者机构：
[Tu, Zhengge; Cao, Yu; Kong, Jiayang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Tu, Zhengge; Cao, Yu; Kong, Jiayang] Cent China Normal Univ, Res Ctr Low Carbon Econ & Environm Policies, Wuhan 430079, Peoples R China.;[Cao, Yu; Kong, Jiayang] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
通讯机构：
[Jiayang Kong] S;School of Economics and Business Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China<&wdkj&>Research Center of Low-Carbon Economy and Environmental Policies, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
low-carbon city pilot projects;carbon emissions;program evaluation;difference-in-differences;instrument variables
摘要：
Here, we assessed the impact of low-carbon city pilot projects on carbon emissions across China through application of a series of econometric techniques to data on these three waves of low-carbon city construction. Our baseline results are obtained from a difference-in-differences estimator, comparing cities with and without introducing low-carbon city pilot projects, and show that low-carbon city pilot projects reduce carbon emissions by about 2 percentage points. We found a similar impact of low-carbon city pilot projects on carbon emissions when we controlled for the estimated propensity of a city to launch the low-carbon city pilot project based on a series of urban characteristics. We obtained comparable estimates when we instrumented whether a city would launch the low-carbon city pilot projects using regional waves of low-carbon city pilot projects. Our results also show that low-carbon city pilot projects have a larger impact on carbon emissions in northern, poorer, and less industrialized cities than those with the opposite characteristics. We found little evidence for the persistence of this impact on carbon emissions, implying that it is necessary to dynamically adjust the low-carbon city pilot projects for cities that have launched the project.
期刊：
International Journal of Environmental Research and Public Health,2022年19(18):11643- ISSN：1661-7827
通讯作者：
Xiaomeng Zhao
作者机构：
[Chen, Yang; Dong, Xu] Zhengzhou Univ Aeronaut, Sch Econ, Zhengzhou 450046, Peoples R China.;[Zhuang, Qinqin] Chinese Acad Social Sci, Inst Quantitat & Tech Econ, Beijing 100732, Peoples R China.;[Yang, Yali] Zhengzhou Univ Aeronaut, Sch Informat Management, Zhengzhou 450046, Peoples R China.;[Zhao, Xiaomeng] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
通讯机构：
[Xiaomeng Zhao] S;School of Economics and Business Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
green total factor productivity;agglomeration of productive services;industrial-structure upgrading;the Yellow River Basin;lean green;sustainability
摘要：
Improving green total factor productivity (GTFP) is the inherent requirement for practicing the philosophy of green development and achieving regional high-quality development. Based on panel data for 68 prefectural-level-and-above cities in the Yellow River Basin of China from 2006 to 2019, we measured their GTFPs and degrees of productive-services agglomeration using the non-radial directional distance function and industrial agglomeration index formulas, respectively. Furthermore, we empirically investigated the interactive relationship between agglomeration of productive services, industrial-structure upgrading, and GTFP using the dual fixed-effects model, the mediating-effect model, and the moderating-effect model. The findings were as follows. (1) Both specialized and diversified agglomeration of productive services significantly improved the GTFPs of cities in the Yellow River Basin, and the promoting effect of specialized agglomeration was stronger than that of diversified agglomeration. (2) The diversified agglomeration of productive services (hereinafter referred to as diversified agglomeration) made a significant contribution to GTFP in all sample cities of the Yellow River Basin, while the specialized agglomeration of productive services (hereinafter referred to as specialized agglomeration) only significantly improved GTFP in the upstream cities and had no significant effect on the midstream and downstream cities. (3) When examined according to city size, specialized agglomeration was found to have a positive impact on the GTFPs of small and medium-sized cities in the Yellow River Basin but a non-significant negative impact on large cities, while the effect of diversified agglomeration on GTFP was found not to be significant. (4) Industrial-structure upgrading played partially mediating and negative moderating roles in the process of specialized agglomeration affecting the GTFPs of cities in the Yellow River Basin, but it did not become a mediating channel and moderating factor that influenced diversified agglomeration in relation to GTFP.
作者：
Wang, Cuicui;Tong, Qingmeng;Xia, Chunping;Shi, Miaomiao;Cai, Yi
期刊：
Journal of Environmental Planning and Management,2022年67(4):809-829 ISSN：0964-0568
作者机构：
[Wang, Cuicui] Yantai Univ, Sch Econ & Management, Yantai, Peoples R China.;[Tong, Qingmeng] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Shi, Miaomiao; Xia, Chunping] Huazhong Agr Univ, Coll Econ & Management, Wuhan, Peoples R China.;[Cai, Yi] South China Agr Univ, Coll Econ & Management, Digital Countryside Res Inst, Guangzhou, Peoples R China.
关键词：
e-commerce;fruit farmers;China;green production;conditional mixed process
摘要：
Based on data for 812 Chinese farmers and a conditional mixed process (CMP) approach, this paper investigates the impact of farmers' e-commerce participation on their awareness of green production. Main results include: (1) e-commerce participation increases farmers' overall awareness of green production by 0.771 (i.e. 0.88 standard deviations); meanwhile such impact is more evident for old-generation, low-income and small-scale farmers; (2) risk awareness is most affected among three sub-dimensions; (3) three influencing channels are confirmed, which are improving information acquisition, strengthening connections with the food market, and alleviating information asymmetry. This paper concludes that e-commerce can play a significant role in promoting the green transition of farmers and agricultural production. As for implications, policymakers need to further promote e-commerce in agriculture while building a more solid food system, including green food certification and a full chain traceability system. However, farmers' heterogeneities should be considered when any intervention is proposed.
期刊：
FRONTIERS IN PSYCHOLOGY,2022年13:865258 ISSN：1664-1078
通讯作者：
Deng, H.
作者机构：
[Wan, Qinjuan; Deng, Hongping] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Wan, Qinjuan; Deng, Hongping] Real Estate Econ Res Ctr Hubei Prov, Wuhan, Peoples R China.
通讯机构：
[Deng, H.] S;School of Economics and Business Administration, Central China Normal University, Wuhan, China
作者：
Yan, Yixin;Hu, Jiliang;Chen, Xiding;Kumar, A. P. Senthil
期刊：
Mathematical Problems in Engineering,2022年2022 ISSN：1024-123X
通讯作者：
Hu, J.
作者机构：
[Hu, Jiliang; Yan, Yixin] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Chen, Xiding] Wenzhou Business Coll, Sch Finance & Trade, Wenzhou, Peoples R China.;[Kumar, A. P. Senthil] Jigjiga Univ, Sch Social Work, Jigjiga, Somali Reg Stat, Ethiopia.
通讯机构：
[A. P. Senthil Kumar; Jiliang Hu; Xiding Chen; Yixin Yan] S;School of Social Work,Jigjiga University,Somali Regional State,Ethiopia<&wdkj&>School of Finance and Trade,Wenzhou Business College,Wenzhou,China<&wdkj&>School of Economics and Business Administration,Central China Normal University,Wuhan,China
关键词：
Introduction;Materials and Methods;Results;Discussion;Conclusion;Abstract;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interests;Authors’ Contributions;Funding Statement;Acknowledgements;Acknowledgments;Supplementary Materials;Reference;Dataset Description;Dataset Files;Abstract;Introduction;Introduction and Materials;Introduction and Methods;Materials;Materials and Methods;Methods;Results;Discussion;Results and Discussion;Discussion and Conclusion;Results and Conclusion;Conclusion;Conclusions;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interest;Authors’ Contributions;Funding Statement;Acknowledgements;Supplementary Materials;References;Appendix;Abbreviations;Preliminaries;Introduction and Preliminaries;Notation;Proof of Theorem;Proofs;Analysis of Results;Examples;Numerical Example;Applications;Numerical Simulation;Model;Model Formulation;Systematic Palaeontology;Nomenclatural Acts;Taxonomic Implications;Experimental;Synthesis;Overview;Characterization;Background;Experimental;Theories;Calculations;Model Verification;Model Implementation;Geographic location;Study Area;Geological setting;Data Collection;Field Testing;Data and Sampling;Dataset;Literature Review;Related Works;Related Work;System Model;Methods and Data;Experimental Results;Results and Analysis;Evaluation;Implementation;Case Presentation;Case Report;Search Terms;Case Description;Case Series;Background;Limitations;Additional Points;Case;Case 1;Case 2 etc.;Concern Details;Retraction Details;Copyright;Related Articles
摘要：
Traditionally, economic data of power supply is often analyzed through the count regression model due to the type of empirical data in the decision-making process. However, in reality, it is difficult to use count data model for data with autoregressive features. The main reason is that the time series features and autoregressive attributes cannot be controlled through the count regression model, which violates the assumptions set by the model. Therefore, there may be errors in the empirical analysis results. This letter firstly describes the characteristic of the count regression model and the problem, and then we refine the multiplicative autoregressive count model for dynamic count data. The model has desirable theoretical properties and is trivial to incorporate into existing models for the count data. In this study, the multiplicative autoregressive counting model for dynamic counting data is improved. The model has ideal theoretical properties and can be easily incorporated into existing economic models of counting data, especially for power supply policy analyses.
期刊：
Indoor and Built Environment,2022年32(8):1523-1536 ISSN：1420-326X
通讯作者：
Liu, ZX
作者机构：
[Zhao, Li; Wei, Wei] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Liu, ZhongXing] Cent China Normal Univ, Inst Adv Studies Humanities & Social Sci, Luoyu Rd 152, Wuhan, Peoples R China.
通讯机构：
[Liu, ZX ] C;Cent China Normal Univ, Inst Adv Studies Humanities & Social Sci, Luoyu Rd 152, Wuhan, Peoples R China.
关键词：
Industrial agglomeration;energy consumption intensity;firm heterogeneity;low-carbon development
