[Retracted] Foreign Direct Investment, Regional Innovation, and Green Economic Efficiency: An Empirical Test Based on the Investigation of Intermediary Effect and Threshold Effect

Wu, You-Qun; Lu, Huai-Xin; Xinlin, Liao; Liu, Jia‐Bao; Zhu, Jiaming

doi:10.1155/2021/7348599

Cited by 12 publications

(10 citation statements)

References 11 publications

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“…According to the existing research on green economic efficiency and the fact that China has entered a new normal, the environmental carrying capacity has reached or is close to the upper limit [ 52 ]. Considering the existing research results [ 11 , 14 , 19 , 22 , 32 , 33 , 53 ] and the availability and accuracy of data, energy, labor, and capital were selected as input elements. Meanwhile, regional GDP, industrial wastewater, industrial sulfur dioxide, and industrial smoke and dust were chosen as outputs.…”

Section: Methodology and Datamentioning

confidence: 99%

“…Thirdly, the mutual choice and integration between the regional government and green economic efficiency were deeply discussed and studied, including the hot issue of environmental regulation [ 16 , 17 , 18 , 19 ], fiscal decentralization [ 20 ], local government competition [ 21 ], and policy uncertainties and market integration [ 22 , 23 ]. Other influencing factors of green economic efficiency studied were as follows: technology imports and innovation [ 24 , 25 , 26 ], human capital [ 27 ], urbanization [ 28 ], resource structure and consumption [ 29 , 30 , 31 ], foreign direct investment [ 32 ], digital economy [ 33 ], etc. Many useful conclusions have been drawn.…”

Section: Introductionmentioning

confidence: 99%

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Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the “Two Mountains” Theory

Hong

Chen

2022

IJERPH

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China’s high-speed economic growth and severe environmental problems have resulted in a poor Environmental Performance Index and have affected China’s sustainable development and ecological welfare improvement. Therefore, exploring whether there is a certain relationship between the two and their influencing factors is an important way and a breakthrough to solve the problems regarding green economic progress and ecological welfare enhancement. To this end, by using the undesirable slack-based measure (SBM) model, this paper measures the ecological welfare performance and the green economic efficiency of 11 cities in Zhejiang Province, China, from 2000 to 2019. Through the methods of spatiotemporal evolution, coefficient of variation, coupling coordination degree, and the Tobit model, we found that: (1) The development trend of urban green economic efficiency and ecological welfare performance were both in a “U” shape that first fell and then rose; (2) The coupling coordination degree between green economic efficiency and ecological welfare performance showed a wave-like upward trend as a whole and most cities have entered a more advanced coupling coordination stage during the study period. The coefficient of variation revealed a downward trend; (3) The urbanization level, industrial structure, and government investment can promote the regional coordinated development, while the industrialization degree and the opening level had a negative impact on it; (4) The “Two Mountains” theory was beneficial to the improvement of regional urban green economic efficiency and ecological welfare performance and their coordinated development both in theory and practice. Finally, according to the findings, we offer relevant suggestions on making good use of the country’s preferential policies and informatization means from the perspective of the regional coordinated development.

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Section: Methodology and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the “Two Mountains” Theory

Hong

Chen

2022

IJERPH

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“…Due to the large differences in economic strength and policy conditions across regions in China, in order to verify whether there is regional heterogeneity in the empirical results, most previous studies have divided the classical economic regions based on the geographical location of each province, which in turn splits China into three major regions: the east, the center, and the west [ 78 ]. However, such division does not effectively reflect the economic differences among provinces.…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

How Do Environmental Regulation and Environmental Decentralization Affect Regional Green Innovation? Empirical Research from China

Tang

2022

IJERPH

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Green innovation is vital in transforming China’s economic development from high speed to high quality. Environmental regulation plays an important role in stimulating regional green innovation, and appropriate environmental decentralization is the institutional basis to consolidate the innovation compensation of environmental regulation. Clarifying the relationship among environmental regulation, environmental decentralization, and green innovation is of great theoretical and practical significance for regional environmental management and green innovation development. This paper incorporates environmental regulation, environmental decentralization, and regional green innovation into the same analytical framework and constructs a fixed-effects model and a threshold panel model to empirically examine the intrinsic relationship between them based on panel data of 30 Chinese provinces from 2006 to 2015. The estimation results indicate that environmental regulation has a positive impact on regional green innovation, which is greater in developed regions than in underdeveloped regions. Environmental decentralization plays a negative role in regional green innovation, with underdeveloped regions being affected to a greater extent. The impact of environmental regulation on regional green innovation shows a threshold characteristic with the change of the degree of environmental decentralization, while the green innovation utility of environmental regulation gradually decreases with the increase of the degree of environmental decentralization.

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“…To solve the problem of endogeneity and robustness, we lag the variable of HGD by one period, denoted as HGD it−1 , to construct the dynamic panel data model as [16,19] HGD…”

Section: E Panel Dynamic Modelmentioning

confidence: 99%

“…However, the current literature may still ignore the following considerations. First, previous studies have discussed a series of factors in improving HGD, focusing on environmental regulation [16][17][18], foreign direct investment [19], and industrial structure upgrading [20]; and some scholars have also conducted studies by examining three variables [21][22][23]. However, to the best of our knowledge, our work incorporates the three variables, namely, TI, EIA, and HGD, into a unified framework under the construction of the " ree Places and One Zone" in the western YRD, which is an unexplored issue.…”

Section: Introductionmentioning

confidence: 99%

Technological Innovation, Emerging Industrial Agglomeration, and High-Quality Green Development

Cao

Zhi

Xu³

et al. 2022

Mathematical Problems in Engineering

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Exploring the transformation of the mode of economic growth has been widely concerned by researchers around the world, especially in the context of “dual carbon” goals. China’s economy is in a transition stage to high-quality green development (HGD), with technological innovation (TI) and emerging industrial agglomeration (EIA) as important drivers. However, existing studies lack a systematic empirical analysis on different dimensions of TI and its influence mechanism. In order to examine the mechanism of TI affecting HGD through EIA, this study uses the panel data in the western Yangtze River Delta of China from 2009 to 2019 to first comprehensively calculate the TI index, EIA index, and the HGD index as proxy variables for regional TI, EIA, and HGD, respectively, and then empirically examines the impact of TI on HGD and the heterogeneous impacts on HGD. Finally, we test the mediation effect of EIA between TI and HGD. The results show that TI effectively promotes regional HGD, and with the increase in the HGD index, the driving role of TI also increases. Technological innovation has heterogeneous impacts on HGD at different dimensions of innovation, time periods, and regions. Innovation output and diffusion have significant impacts on HGD, whereas innovation input and environment have insignificant impacts. The effects of TI promoting HGD are different before and after 2013. Additionally, the nexus between TI and HGD also differs across spatial distributions. The mediation effect indicates that EIA is an important mechanism for TI to release the dividends of HGD, and it explains approximately 29% of the conduction effect.

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[Retracted] Foreign Direct Investment, Regional Innovation, and Green Economic Efficiency: An Empirical Test Based on the Investigation of Intermediary Effect and Threshold Effect

Cited by 12 publications

References 11 publications

Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the “Two Mountains” Theory

Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the “Two Mountains” Theory

How Do Environmental Regulation and Environmental Decentralization Affect Regional Green Innovation? Empirical Research from China

Technological Innovation, Emerging Industrial Agglomeration, and High-Quality Green Development

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