期刊：
Journal of Environmental Management,2022年312:114968 ISSN：0301-4797
通讯作者：
Junbing Xu
作者机构：
[Zhu, Junpeng] School of Economics and Business Administration, Central China Normal University, Wuhan, PR China. Electronic address: junpzhu@sina.com;[Xu, Junbing] NewHuadu Business School, Minjiang University, Fujian Province, PR China. Electronic address: xu940981226@163.com
通讯机构：
[Junbing Xu] N;NewHuadu Business School, Minjiang University, Fujian Province, PR China
关键词：
Competitiveness;Policy evaluation;The clean air action;Total factor productivity
摘要：
The "Air Pollution Prevention and Control Action Plan" is regarded as China's war against air pollution, which is also noted as China's Clean Air Action (CAA policy). Although abundant studies have focused on the impact of CAA policy on social activities, such as air quality, pollutants emission, and economic output, limited studies explore its impact on enterprise competitiveness from a more micro perspective. Improving total factor productivity (TFP) is essential to achieve economic efficiency and sustainable development. Identifying the impact and influence mechanism of the CAA policy on TFP is important for China to realize the coordinated development of environment and economy and promote high-quality economic development. Based on the difference-in-differences model, this paper evaluates the impact of the CAA policy on enterprise productivity. The empirical analysis shows that there is a significantly negative effect from the CAA policy to the TFP of polluting enterprises, indicating that the CAA policy has decreased enterprise productivity. Our finding is robust, after conducting several robustness tests, such as replacing different dependent indicators, adopting different policy measurement variables, considering other policy interventions and using propensity score matching. Besides, this paper also discusses the possible heterogeneities. This paper adds additional empirical evidence to understand the relationship between air pollution control and enterprise competitiveness. The conclusions of this paper have important practical significance for China to further promote air pollution control and perfect the environmental control system.
作者：
Li, Ji;Yu, Irina Y.;Yang, Morgan X.;Chen, Silu
期刊：
Journal of Hospitality and Tourism Management,2022年50:366-374 ISSN：1447-6770
通讯作者：
Silu Chen
作者机构：
[Li, Ji] Shanghai Univ, SHU UTS SILC Business Sch, Shanghai, Peoples R China.;[Li, Ji] Shandong Univ, Sch Management, Jinan, Peoples R China.;[Yu, Irina Y.] Caritas Inst Higher Educ, Rita Tong Liu Sch Business & Hospitality Manageme, Hong Kong, Peoples R China.;[Yang, Morgan X.] Hang Seng Univ Hong Kong, Dept Mkt, Hong Kong, Peoples R China.;[Chen, Silu] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.
通讯机构：
[Silu Chen] S;School of Economics and Business Administration, Central China Normal University, China
关键词：
Perceived needs for belongingness and justice;Social identity;Insider status;Innovation;Facilitation
作者机构：
[Lijun Dong; Jiaguo Xie] School of Economics and Business Administration, Central China Normal University, Wuhan, China;[Frank McDonald] Leeds University Business School, Leeds, UK
通讯机构：
[Lijun Dong] S;School of Economics and Business Administration, Central China Normal University, Wuhan, China
关键词：
Emerging market multinationals (EMNEs);entry mode;outward foreign direct investment (OFDI)
期刊：
International Journal of Environmental Research and Public Health,2022年19(12):7220- ISSN：1661-7827
通讯作者：
Yaoshan Xu
作者机构：
[Yuan, Xiao; Yang, Huifang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Xu, Yaoshan; Li, Yongjuan] Chinese Acad Sci, Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China.
通讯机构：
[Yaoshan Xu] C;CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
The safety behavior of vocational school students is worth noting. The current study is aimed to examine the effect of self-control demands on safety behavior. Drawing on the Self-Control Resource Model, we predict that self-control demands have a negative effect on safety behavior through ego depletion and perceived teacher support moderates the link among self-control demands, ego depletion, and safety behavior. A two-wave survey was conducted and 285 vocational students participated in our study. Mediation and moderated mediation modeling analyses were carried out. Results showed that ego depletion fully mediated the link between self-control demands and safety behavior. Moreover, perceived teacher support moderated the relationship between self-control demands, ego depletion and safety behavior; for students who perceived high levels of teacher support, the negative effect of self-control demands on safety behavior via ego depletion was insignificant, while for students who perceived low levels of teacher support, their negative effect was significant. The present study clarifies the effects of self-control demands on safety behavior through the resource depletion process and highlights the importance of teacher support in buffering the negative effect of self-control demands on workplace safety. Enhancing safety management, engaging in a resource recovery activity, and providing teacher support training are effective ways to maintain high levels of workplace safety.
作者机构：
[Yan, Ziwei; Cui, Chunying] Wenhua Coll, Dept Econ & Management, Wuhan 430074, Peoples R China.;[Cui, Chunying] Cent China Normal Univ, Sch Econ & Business Management, Wuhan 430074, Peoples R China.
通讯机构：
[Chunying Cui] S;School of Economics and Business Management, Central China Normal University, Wuhan 430074, China<&wdkj&>Department of Economics and Management, Wenhua College, Wuhan 430074, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
west to east natural gas pipeline project;carbon emission reduction;energy consumption
作者机构：
[Zhu, Junpeng] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Lin, Boqiang] Xiamen Univ, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China.
通讯机构：
[Boqiang Lin] S;School of Management, China Institute for Studies in Energy Policy, Xiamen University, Fujian, 361005, PR China
摘要：
Industrial transformation is the key to urban transformation. Despite extensive studies on the topic of resource curse, limited studies have analyzed the impact of resource dependence on industrial transformation, especially taking into account the role of institutional quality. This paper attempts to fill such research gap. Based on a panel dataset of 283 China’s cities, this paper analyzes the effect of resource dependence on industrial transformation under the background of China’s market-oriented reform by using multiple econometric models. We find that resource dependence is indeed an important factor that causes the industrial structure to be dominated by secondary industry, indicating that resource dependence has a lock-in effect on industrial transformation. Besides, we also confirm that resource dependence has a non-linear impact on the industrial structure under different marketization levels, and China’s market-oriented reform can alleviate the lock-in effect to some extent. Based on these findings, we propose that local governments should pay attention to the regulatory role of market-oriented reform in industrial transformation.
期刊：
Mathematical Problems in Engineering,2022年2022 ISSN：1024-123X
通讯作者：
Shi Liang
作者机构：
[Liang, Shi] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430073, Hubei, Peoples R China.
通讯机构：
[Shi Liang] S;School of Economics and Business Administration,Central China Normal University,Wuhan 430073,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：
With the booming of big data in finance, data mining technologies, as a new method of data statistics, have made superior economic applications available to researchers. Based on the relationship between shadow banking and interest rate liberalization, this paper intended to analyze the bidirectional relationship between shadow banking and interest rate liberalization using big data mining technologies. The relationship between data mining and the economic application of shadow banking was proven using data from 2014 to 2021. On this basis, this paper identified the bidirectional influence between shadow banking and interest rate liberalization. The findings show that shadow banking has positive contributions to the liberalization of interest rate, and the interest rate distortion resulting from interest rate control also drives the development of shadow banking. Moreover, feasible suggestions have been proposed for supervision on policies.
作者机构：
[Zhou, Yuanyuan; Zheng, Chengli] Cent China Normal Univ, Financial Engn Res Ctr, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Goh, Mark] Natl Univ Singapore, NUS Business Sch, Singapore, Singapore.;[Goh, Mark] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore, Singapore.
通讯机构：
[Zheng, Chengli] C;Cent China Normal Univ, Financial Engn Res Ctr, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
关键词：
Large-scale group decision-making;Statistics;Five-number summary;Risk attitude;Interval-valued Pythagorean fuzzy number
摘要：
As loss in decision sample information occurs during large-scale group decision-making (LSGDM), this paper proposes a statistical estimation approach for handling Pythagorean fuzzy information under the risk attitude of decision-makers (DMs). The DMs are partitioned by risk attitudes (hesitancy degrees) into subgroups. A five-number summary for the subgroups from the incomplete decision information given by the DMs is obtained. The Cornish-Fisher expansion is then applied to estimate the mean, standard variance, and skewness of the decision sample information from the five-number summary. The confidence interval constructed by the skewness is used to obtain the interval-valued Pythagorean fuzzy number (IVPFN) evaluation information of the subgroups. An optimization model based on minimizing the conflicts between the subgroups and the overall group is used to derive the weights of the subgroups. A sorting function of the IVPFNs is used to rank the alternatives. A case study on green credit and a comparison analysis are applied to validate the proposed method. (C) 2021 Elsevier B.V. All rights reserved.
期刊：
ISA Transactions,2022年126:36-46 ISSN：0019-0578
通讯作者：
Xie, Wanli;Wu, Wen-Ze;Liu, Chong;Goh, Mark
作者机构：
[Xie, Wanli] Nanjing Normal Univ, Inst EduInfo Sci & Engn, Nanjing 210097, Peoples R China.;[Wu, Wen-Ze] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Liu, Chong] Northeastern Univ, Sch Sci, Shenyang 110819, Peoples R China.;[Goh, Mark] Natl Univ Singapore, Logist Inst Asia Pacific, NUS Business Sch, Singapore, Singapore.
通讯机构：
[Xie, Wanli] I;[Goh, Mark] N;[Liu, Chong; Wu, Wen-Ze] S;Institute of EduInfo Science and Engineering, Nanjing Normal University, Nanjing 210097, China. Electronic address:;School of Economics and Business Administration, Central China Normal University, Wuhan 430079, China. Electronic address:
关键词：
Fractional-order derivative;Grey system model;Memory effects;Optimization algorithm
摘要：
In recent years, grey models based on fractional-order accumulation and/or derivatives have attracted considerable research interest because they offer better performance in handling limited samples with uncertainty than integer-order grey models; however, there remains room for improvement. This paper considers a more flexible and general structure for the fractional grey model by incorporating a generalized fractional-order derivative (GFOD) that complies by memory effects, resulting in the development of a generalized fractional grey model (denoted as GFGM(1,1)). Specifically, we comprehensively analyse the modelling mechanism of the proposed GFGM(1,1) model, involving model parameter estimation and time response function derivation, and discuss the link between the proposed approach and existing special cases. Then, to further improve the efficacy of the proposed approach, four mainstream metaheuristic algorithms are employed to ascertain the orders of fractional accumulation and derivatives. Finally, we carry out a series of simulation studies and a real-world application case to demonstrate the applicability and advantage of the our approach. The numerical results show that GFGM(1,1) outperforms other benchmarks, and some significant insights are obtained from the numerical experiments.
期刊：
Frontiers in Environmental Science,2022年10:989897 ISSN：2296-665X
通讯作者：
Kong, J.
作者机构：
[Wei, Cong] Zhejiang Univ Finance & Econ, Sch Econ, Hangzhou, Peoples R China.;[Zhou, Yingfeng] Springfield Coll, Dept Math Phys & Comp Sci, Springfield, MA USA.;[Kong, Jiayang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Kong, Jiayang] Cent China Normal Univ, Res Ctr Low carbon Econ & Environm Pol, Wuhan, Peoples R China.;[Kong, Jiayang] Cent China Normal Univ, Sch Math & Stat, Wuhan, Peoples R China.
通讯机构：
[Kong, J.] S;School of Economics and Business Administration, China
