Yingying Wang

Ms. Yingying Wang


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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SDShengli Dai
Shengli Dai
WZWeimin Zhang
Weimin Zhang
YWYingying Wang
Yingying Wang
GWGe Wang
Ge Wang
“Guiding Opinions on Relying on the Golden Waterway to Promote the Development of the Yangtze River Economic Belt (YREB)”, the “YREB Development Policy”, is a national Chinese policy aiming to promote industrial structure upgrading and high-quality development in the YREB. To test the effects of this policy, we used 2009–2019 data from 283 cities to examine whether its implementation promoted regional industrial structure upgrading. The YREB Development Policy positively impacted industrial structure advancement but scarcely benefited industrial structure rationalization. Moreover, the impacts indicated a temporary, unsustainable influence on industrial structure advancement, presenting a clear U-shaped development trend. The YREB Development Policy can more significantly improve industrial structure upgrading in cities with large populations. The effects of this policy on industrial structure upgrading in the middle and lower reaches of the YREB are almost five times that in the upper reaches. In addition, the policy more greatly impacts the tertiary industry than the primary and secondary industries, especially in the lower reaches. These findings have policy-making implications, enrich the research regarding the YREB Development Policy impacts on industrial structure upgrading, and provide an empirical reference to improve subsequent policies.

SDShengli Dai
Shengli Dai
YWYingying Wang
Yingying Wang
WZWeimin Zhang
Weimin Zhang
As one of the three major engines of economic growth in China, the Beijing–Tianjin–Hebei (BTH) urban agglomeration has become one of the regions with the highest energy consumption intensity. To investigate the dynamic relationships between scientific and technological innovation, industrial structure advancement and carbon footprints, panel data in BTH from 2006 to 2019 was selected, and a Panel Vector Auto-Regressive (PVAR) model was established to conduct an empirical study. The conclusions show that there is a causal relationship between the industrial structure advancement and carbon footprints, and the influence of each on the other is significant. The impact of scientific and technological innovation on carbon footprints has a “rebound effect”. Scientific and technological innovation can accelerate the process of industrial structure advancement. Carbon footprints have a significant backward forcing effect on both industrial structure advancement and scientific and technological innovation, with impact coefficients of 0.0671 and 0.2120, respectively. Compared with scientific and technological innovation, the industrial structure advancement has a greater impact on carbon footprints, with a variance contribution of 25.4%. The research findings are conducive to providing policy support for the coordinated development of BTH and promoting the realization of the Double Carbon goal.

25 May 2024 in Economic Change and Restructuring
Verified
Journal Article
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WLWei Li
Wei Li
YWYingying Wang
Yingying Wang

17 October 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
YCYijing Chu
Yijing Chu
YWYingying Wang
Yingying Wang
ZZZucheng Zhang
Zucheng Zhang
SDShengli Dai
Shengli Dai
Rational water use is the basis for sustainable development. The issue of how to use limited water resources to satisfy the high rate of economic development has attracted a great deal of attention from society. This paper presents a quantitative analysis of the intrinsic relationship between economic growth and industrial water use changes in Hubei Province based on panel data from 2004 to 2019. With the help of the Tapio decoupling model, the problem of decoupling the economic growth of Hubei Province and the water use of the three industries in 15 years was discussed. On the basis of Kaya’s extended identity, the Logarithmic Mean Divisia Index (LMDI) index decomposition method is used to evaluate the driving factors and steady state changes in the three industries’ water use. The results show that, with regard to the decoupling state, there are three decoupling states between economic growth and industrial water use in Hubei province: negative decoupling, strong decoupling, and weak decoupling, which showed a phase characteristic. From the decomposition of the factors, the industrial structure effect and the water intensity effect are the key factors that determine the decoupling of economic growth and industrial water use in Hubei Province, as well as the core driving force to promote the decoupling state. According to the development trend, Hubei Province needs to take into account the efficiency and affordability of water resources in the process of promoting social and economic development. Therefore, in line with the research outcomes, this study provides effective and feasible recommendations for promoting sustainable economic and social development in Hubei Province.