Weikun Zhang

Dr. Weikun Zhang

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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XXxing shu xiao
xing shu xiao
ZHZuxin He
Zuxin He
WZWeikun Zhang
Weikun Zhang
XQXiaoming Qin
Xiaoming Qin
This study performs the spatial Durbin model (SDM) and threshold model to analyze the efficiency of agricultural green production following technological progress from 1998 through 2019. The SDM supports a nonlinear contribution of technological progress spillover to agricultural green total factor productivity (GTFP), exacerbated by upgrading agricultural structure. Moreover, the threshold model confirms that technological progress has a single threshold effect on agricultural GTFP with the rationalization of the agrarian system as a threshold variable; meanwhile, the contribution of technological progress to agricultural GTFP is less than that of agricultural total factor productivity. Out of the expanded application of dissipative structure theory in agricultural GTFP systems innovatively, this study reveals the urgency to strengthen the innovation of independent technology, lower the threshold for introducing technology, and optimize the agrarian structure in the long-term sustainable agriculture for the economies that are undergoing a similar development stage as China.

12 January 2023 in Journal of Innovation & Knowledge
Verified
Journal Article
Open access
WYWei Yao
Wei Yao
WZWeikun Zhang
Weikun Zhang
WLWenxiu Li
Wenxiu Li

20 October 2022 in Sustainability
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Journal Article
Open access
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HLhanyuan liang
hanyuan liang
GLGuangliang Li
Guangliang Li
WZWeikun Zhang
Weikun Zhang
ZCZhe Chen
Zhe Chen
Green innovation has become an essential pathway to quality manufacturing development. This paper takes green innovation as a starting point to explore the impact of green innovation on enterprise performance and the regulatory effect of government grants, including fiscal subsidies and preferential taxation. An empirical study based on panel data of manufacturing firms listed in Shanghai and Shenzhen A-shares from 2011 to 2019 shows that green innovation contributes to improved enterprise performance. This paper studies the moderating impacts of financial subsidies and tax incentives using the Ordinary Least Squares (OLS) Model with consideration for the two-way fixed effects. The model adopts Tobin’s Q value as the explained variable and focuses on analyzing the influence mechanism of green innovation, financial subsidies, and tax incentives. Both fiscal subsidies and preferential taxation can strengthen the relationship between green innovation and enterprise performance, with the incentive effect of preferential tax being more pronounced when the two policies are pursued in parallel. In general, the regulatory impact of preferential taxation is more pronounced in high-tech manufacturing, while that of fiscal subsidies is in traditional manufacturing. Therefore, this study aims to provide reference suggestions for enterprises and governments to focus on green innovation and rationalize the use of government grants to improve enterprise performance.

7 April 2023 in Sustainability
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Journal Article
Open access
PDF file
GLGuangliang Li
Guangliang Li
CTChunlan Tan
Chunlan Tan
WZWeikun Zhang
Weikun Zhang
WZWolin Zheng
Wolin Zheng
YLYong Liu
Yong Liu
China’s technical progress on emissions and vast ocean area make the study for CO2 emission reduction suitable in a marine fishery. This study uses the slack variables of SBM and the Malmquist index to analyze the CO2 emission efficiency of Trawler, Seine net, Drift net, Fixed net, and Angling, along with their efficiency values, distinguishing the impact of technological progress, scale expansion, and technological efficiency. Results show that the CO2 emission efficiency of the Angling and Seine industry is high with the development potential of the low-carbon fishery. Moreover, China’s technological progress is increasing, but the technical efficiency of CO2 emission reduction is declining. Lack of pure technical efficiency is the primary constraint of low-carbon capture fishery, making changes in efficiency show a downward trend. These results expand the research depth of the efficiency impact of technological progress and reveal that technological progress keeps increasing, but the CO2 emission reduction efficiency is decreasing. This indicates that emission reduction requires both technological growth and the technology’s capacity to reduce CO2 emissions efficiently.

25 July 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
YWYAO WEI
YAO WEI
WZWeikun Zhang
Weikun Zhang
WLWenxiu Li
Wenxiu Li
PLPenglong Li
Penglong Li
This study attempts to examine the convergence development of the marine fishery (MF) and marine tourism (MT) industries of Japan through the theory of industrial relevance. First, the current MF and MT situation in Japan is introduced to analyze the mechanism of the integration of the two industries. Second, a Vector Autoregression Model (VAR) is built to examine the relationship between MF and MT. In addition, the shock potential contributions of the MF and MT industries are identified using impulse response and variance decomposition. Results show that the impact of MF on MT is more significant than that of MT on MF. However, the interaction between MF and MT tends to stabilize in the long run. Third, the industrial integration case of Japan’s Himakajima Island is selected to analyze the MF and MT integration mechanism. The integration of MF and MT can reduce transaction costs, make full use of labor, and promote the development of the local economy. Therefore, attention should be paid to the integration of the MF and MT industries, rather than partial implementation, to balance the development of the marine economy. Finally, relevant suggestions and measures are presented for marine industry transformation and upgrading, industrial integration, and green ecological development.

WZWeikun Zhang
Weikun Zhang
PGPeng Gao
Peng Gao
ZCZhe Chen
Zhe Chen
HQHailan Qiu
Hailan Qiu
Environmental regulation (ER) is essential to preventing agricultural non-point source pollution (ANSP). Prior research has focused on the effect of ER on agricultural pollution (AP), but little is known about the impact of ER following digitization on preventing AP, particularly ANSP. Based on the spatial heterogeneity, the effect of ER was examined using a geographic detector tool with provincial panel data from 2010 to 2020 in rural China. The results show that ER is a driver in preventing ANSP, primarily because of the constraint on farmers’ behavior. Digitization positively affects the prevention of ANSP, as the new impetus for the infrastructure, technology, and capital is supported. The interaction between ER and digitalization forms a driving effect on the prevention of ANSP, indicating that digitalization constitutes the path dependence of farmers’ rule acquisition and perception and addresses the “free riding” dilemma of farmers’ participation, thereby enabling the incentive of ER to make agricultural production green and efficient. These findings indicate that the endogenous factor of digitization allowing ER is essential to preventing ANSP.