作者机构：
[Ding, Weibin] State Grid Zhejiang Elect Power Co Ltd, Hangzhou 310012, Peoples R China.;[Li, Jie] Jinhua Power Supply Co State Grid Zhejiang Elect P, Jinhua 321000, Peoples R China.;[Jin, Dian; Kong, Jiayang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Jin, Dian; Kong, Jiayang] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Kong, Jiayang] Cent China Normal Univ, Res Ctr Low Carbon Econ & Environm Pol, Wuhan 430079, Peoples R China.
通讯机构：
[Dian Jin; Jiayang Kong; Weibin Ding] S;[Jie Li] J;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&>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&>State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310012,China<&wdkj&>Jinhua Power Supply Company of State Grid Zhejiang Electric Power co.,Ltd.,Jinhua 321000,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：
Researcher and analyst are often interested in estimating the effect of an intervention or treatment, which takes place at the aggregate level and affect one single unit, such as country and region. Thus, comparative case studies would be their first choice in practice. However, comparative case studies could fail to yield an estimate in the effect that is unbiased and consistent, as in some contexts; there are not suitable control units that are similar to the treated. The econometric literature has taken synthetic control methods and panel data approaches to this problem. In this study, we developed a principal covariate regression estimator, which exploits the cross-sectional correlation, as well as the temporal dependency, to reproduce the dynamics of the treated in the absence of an event or policy. From a theoretical perspective, we introduce the statistical literature on dimensional reduction to make a causal inference. From a technique perspective, we combine the vertical regression and the horizontal regression. We constructed an annual panel of 38 states, to evaluate the effect of Proposition 99 on beer sales in California, using the principal covariate regression estimator proposed here. We find that California’s tobacco control program had a significant negative and robust effect on local beer consumption, suggesting that policymakers could reduce the use of cigarette and alcohol in the public using one common behavioral intervention.
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.
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.
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.
摘要：
The fractional grey model and its deformation forms have been appealed interest of research in practice due to its strong adaptability by merits of falling from the integer-order form into the fractional. This paper proposes an optimised time power-based grey model by the introduction of conformable fractional derivative into the conventional model. As a result, a newly-designed approach, namely the time power-based grey model with conformable fractional derivative (referred to as CFGM( phi, 1 , t alpha)), is proposed thereby. Specifically, the model establishment, system parameter estimation and explicit expression are comprehensively implemented. In particular, several properties for the proposed approach are emphasized to interpret the superiority of the newly-designed model from a theoretical analysis perspective. The particle swarm optimization technique is then employed to determine the emerging coefficients such as the order of the conformable fractional derivative and time-power coefficient. Finally, four real-world cases are chosen to certify the applicability of the proposed model in contrast with other benchmark models and, the empirical results show that the newly-designed model outperforms other competing models, thus obtaining some managerial insights from these numerical experiments.(c) 2021 Elsevier Ltd. All rights reserved.
摘要：
Improving energy efficiency and lowering carbon emissions are of great importance to realize the "dual carbon" goal of carbon peak and carbon neutrality. Digital economy is a new engine of economic development, but whether or how it affects energy efficiency and carbon emissions are unclear. Utilizing panel data of China's 30 provinces from 2012 to 2019, this study empirically explores the relationships among digital economy, energy efficiency, and carbon emissions. Meanwhile, from the perspective of energy efficiency, applying mediation models and panel threshold model, it analyzes the direct, indirect, and nonlinear influencing mechanisms of digital economy on carbon emissions. The results reflect that the development of digital economy in China intensifies carbon emissions. Energy efficiency serves as a vital partial mediator between the two. The enhancement of energy efficiency can lower carbon emissions. However, the development of digital economy is not conducive to improving energy efficiency, thereby, indirectly increasing carbon emissions. The mediating effect of energy efficiency accounts for 30.58 % of the total effect of digital economy on carbon emissions. Meanwhile, taking energy efficiency into account, the impact of digital economy on carbon emissions has a significant double-threshold effect and presents an N-shaped trend. [0.824, 0.912] is the optimal range of energy efficiency, within which the growth of the digital economy can empower carbon emission abatement to some extent. In addition, the expansion of population size, the coal-based energy consumption structure, and the industrial structure significantly increase carbon emissions. The improvements in living standards and environmental regulations can help to decrease carbon emissions, but the emission abatement effects are not significant. Those conclusions reveal the importance of optimizing the level and quality of digital economy and adopting differentiated digital economy development policies based on energy efficiency to achieve carbon emission reduction.
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
摘要：
The complexity and uncertainty of the financial market mainly stem from the rich market internal transaction information and a wide range effect of external factors. To this end, this paper proposes the combination factors-driven forecasting method to predict realized volatilities of the CSI 300 index and index futures. Based on the volatilities predicted by the proposed method, we further evaluate the ex-ante hedging performance in comparison to the conventional HAR model as well as GARCH-type models. The empirical results indicate that the factors-driven realized volatility model significantly dominates the other commonly used models in terms of hedging effectiveness. Furthermore, the superiority of the proposed method is robust in different market conditions, including significant rising or falling and abnormal market fluctuations in the COVID-19 pandemic, and in different index markets. Therefore, this paper improves the prediction accuracy of volatility by integrating market internal transaction information and external factor information, and the proposed method in this paper can be used by investors to obtain an excellent hedging effect.
期刊：
International Journal of Environmental Research and Public Health,2022年19(14):8351- ISSN：1661-7827
通讯作者：
Yuanfang Zhan
作者机构：
[Han, Shaoqin] Wuhan Univ Technol, Sch Entrepreneurship, Wuhan 430070, Peoples R China.;[Zhan, Yuanfang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430070, Peoples R China.;[Zhang, Lu; Mu, Renyan] Wuhan Univ Technol, Sch Management, Wuhan 430070, Peoples R China.
通讯机构：
[Yuanfang Zhan] S;School of Economics and Business Administration, Central China Normal University, Wuhan 430070, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
upward social comparison of received help;envy;interpersonal citizenship behavior;social comparison orientation
