ORCID Profile
0000-0001-6029-9065
Current Organisation
China University of Mining and Technology
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Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 06-2021
Publisher: MDPI AG
Date: 22-09-2023
DOI: 10.3390/SU151914044
Publisher: Elsevier BV
Date: 12-2021
Publisher: MDPI AG
Date: 13-11-2020
DOI: 10.3390/SU12229455
Abstract: With sustained and rapid economic growth, environmental degradation and resource depletion are becoming increasingly prominent in Chinese mineral resource-based cities (MRBC). An in-depth study regarding the efficiency and characteristics of urban green transformation in recent years will help to promote the healthy development of MRBC in China. In this study, we use a three-stage data envelopment analysis model to evaluate the green transformation efficiency and potential of 110 MRBC in China from 2008 to 2017. The results show that, first, the comprehensive green transformation efficiency in the vast majority of MRBC is relatively low. After excluding external factors, the efficiency of most MRBC is considerably improved. Second, regardless of whether the external factors are excluded, the green transformation efficiency in the western and northeast regions of China is relatively higher than that in the central and eastern regions, whereas the coal cities and ferrous cities have higher efficiencies compared with non-ferrous cities and oil cities. Third, compared with pure technology efficiency, scale efficiency plays a leading role in overall green transformation efficiency. Based on the empirical analysis results, this study indicates that China’s MRBC should pay special attention to the influence of external environmental factors when formulating green transformation policies.
Publisher: Elsevier BV
Date: 03-2022
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 03-2020
Publisher: Springer Science and Business Media LLC
Date: 28-01-2022
DOI: 10.1007/S11356-021-18450-X
Abstract: The ecological transformation of the mineral resource-based cities (MRBCs) is the key to promoting the construction of ecological civilization and realizing the sustainable development of the social economy and society in China. Existing research ignores the influence of public participation on other subjects in the process of transformation, which is essential to solve the dilemma faced by the ecological transformation of MRBCs. In view of this, from the perspective of stakeholders, this study constructs a new evolutionary game model, which is jointly participated in by the government, enterprises, and social factors (SF) (including public, self-media, and non-governmental organizations). This paper discusses the interests of the main parties and their inter-relationships and reveals the causal mechanism and influencing factors of the dilemma of the ecological transformation of the MRBCs. Our results demonstrate that the evolution and convergence of strategies among the tripartite game agents exhibit strong interaction. First, the single industrial structure, low regulatory efficiency, and weak ecological awareness substantially increase the cost of transformation, thus exacerbating the dilemma of MRBC transformation. Second, the transformation intensity and comprehensive income are important factors affecting the transformation, and the effect intensity of influencing factors in different transition stages is different, which implies that the focus of policies in different stages is different. Third, in the process of promoting enterprise ecological transformation, government supervision and SF supervision have significant complementary effects. However, high-intensity supervision has a significant crowding-out effect on the willingness of SF to participate. Therefore, the government needs to balance the intensity of supervision and willingness of SF to participate. Compared with the existing research, this study comprehensively reflects the complex dynamic game process of the ecological transformation of MRBCs in China and can provide a reference for the policy of promoting the ecological transformation of MRBCs in China.
Publisher: MDPI AG
Date: 29-01-2021
DOI: 10.3390/SU13031426
Abstract: The comprehensive and accurate monitoring of coal power overcapacity is the key link and an important foundation for the prevention and control of overcapacity. The previous research fails to fully consider the impact of the industry correlation effect making it difficult to reflect the state of overcapacity accurately. In this paper we comprehensively consider the fundamentals supply demand economic and environmental performance of the coal power industry and its upstream downstream competitive and complementary industries to construct an index system for assessing coal power overcapacity risk. Besides a new evaluation model based on a correlation-based feature selection-association rules-data envelopment analysis (CFS-ARs-DEA) integrated algorithm is proposed by using a data-driven model. The results show that from 2008 to 2017 the risk of coal power overcapacity in China presented a cyclical feature of “decline-rise-decline”, and the risk level has remained high in recent years. In addition to the impact of supply and demand the environmental benefits and fundamentals of related industries also have a significant impact on coal power overcapacity. Therefore it is necessary to monitor and govern coal power overcapacity from the overall perspective of the industrial network, and coordinate the advancement of environmental protection and overcapacity control.
Publisher: Elsevier BV
Date: 06-2018
Publisher: SAGE Publications
Date: 2021
Abstract: Business transformation has become an important way of sustainable development of enterprises. However, the transformation performance is not ideal. Using data from Chinese listed companies from 2001 to 2016, this article employs the Heckman selection model to explore the impact of managerial cognitive bias on transformation strategy and firm performance. The results demonstrate that managerial cognitive bias plays an important role in inducing business transformation. The higher the degree of managerial overconfidence and overoptimism, the more the enterprise will tend to implement business transformation. An important contribution of the article is that it reveals the significant difference between overconfidence and overoptimism: The more overconfident the managers are, the more likely they are to adopt both internal cultivation and mergers and acquisitions (M& A) to realize firm business transformation, whereas the more overoptimistic the managers are, the more likely they are to adopt M& A rather than internal cultivation to realize firm business transformation. Furthermore, business transformation conducted by overconfident managers helps improve firm financial performance and market value, while transformation conducted by overoptimistic managers helps reduce both.
Publisher: Springer Science and Business Media LLC
Date: 20-03-2023
Publisher: MDPI AG
Date: 14-05-2021
DOI: 10.3390/SU13105511
Abstract: Sudden environmental pollution accidents (SEPAs) in small towns are characterized by high uncertainty, complex evolution, and fast spread speed, and they cause serious harm to a wide geographic range. Thus, SEPAs greatly challenge the emergency management systems of enterprises and governments. Therefore, improving the emergency capacity of small towns (ECST) to withstand SEPAs deserves more attention. In this study, the evolution mechanism of SEPAs is systematically analyzed, revealing the interactions among various situational elements in the SEPA occurrence process. Then, an evaluation index system of the ECST response to SEPAs is constructed based on four dimensions: monitoring and early warning capacity, preparedness and mitigation capacity, response, and recovery capacity. The system includes 68 indicators and covers the key stages of the SEPA life cycle. Finally, an evaluation model of the ECST to SEPAs is proposed based on the analytic network process method, and the small town of Jiangyin City is selected as a case study for empirical evaluation. The proposed evaluation model considers the interactions and interdependent feedback between indexes, effectively improving the accuracy and scientific nature of the evaluation results. Thus, this model provides a solid decision-making reference for governments and a quantitative theoretical basis for the formulation of measures targeted at SEPAs.
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 04-2017
Publisher: Springer Science and Business Media LLC
Date: 22-03-2022
DOI: 10.1007/S11356-022-19100-6
Abstract: The relationship between resource misallocation and productivity has become a hot topic in recent years, but few studies examined the impact of spatial misallocation of electric power resources (SMEPRs) on economic efficiency and carbon emissions. Here, we constructed a calculation model of SMEPRs that can measure both the misallocation degree and direction and uncovered the spatiotemporal evolvement mechanism of SMEPRs. On this basis, we explored the impact of SMEPRs on regional economic efficiency and carbon emissions using panel data from 29 provinces in China from 1988 to 2017. The results demonstrate that the high level of SMEPRs in China shows complex spatiotemporal characteristics and significantly affects the regional economic efficiency and carbon emissions. Specifically speaking, first, SMEPRs present the characteristics of the coexistence of excessive and insufficient allocation among provinces and regions, the increasing extent of misallocation in the eastern and western regions, and the gradual decline in the central region second, SMEPRs have a strong negative effect on the regional economic efficiency and carbon emissions by affecting regional industrial structures, which indicates that SMEPRs are an important factor restricting the high-quality development of regional economies. The research is conducive to the development of resource misallocation theory. Moreover, the research observations offer fresh insights to upgrading the high-quality and green development of China's power sector and promoting regional economic transformation and ecological sustainability.
Publisher: Elsevier BV
Date: 11-2023
No related grants have been discovered for Yadong Wang.