Impact of financial development and technological innovation on the volatility of green growth—evidence from China

Cao, Jianhong; Law, Siong Hook; Samad, Abdul Rahim Bin Abdul; Mohamad, Wan Norhidayah Binti W; Wang, Jianlong; Yang, Xiaodong

doi:10.1007/s11356-021-13828-3

Cited by 155 publications

(68 citation statements)

References 102 publications

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“…PA is technological innovation. The current indicators for measuring technological innovation include R&D investment, the number of scientific researchers, and the number of patents (Cao et al 2021;Li and Ma 2021;Vural 2021). This paper draws on the Vural (2021) method and uses the number of patent applications to measure technological innovation.…”

Section: Mechanism Testmentioning

confidence: 99%

Heterogeneous environmental regulation and industrial structure upgrading: evidence from China

Wang

Zhao

2021

Environ Sci Pollut Res

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There are obvious differences between different types of environmental regulation, which are manifested in different environmental protection tendencies and goals, and there are also significant differences in policy implementation. Therefore, it is an urgent empirical problem to quantitatively evaluate the impact of heterogeneous environmental regulation on the upgrading of industrial structures. Therefore, on the basis of measuring the level of industrial structure upgrading, this paper empirically tests the impact of heterogeneous environmental regulation on industrial structure upgrading. The results show that the upgrading level of China's industrial structure increased year by year from 2000 to 2018. The three types of environmental regulatory measures have effectively promoted the upgrading of the industrial structure, and the market-incentive environmental regulation (MER) has a significantly higher role in the advancement of the industrial structure than the command-controlled environmental regulation (CER) and the voluntary public participation environmental regulation (VER). With the improvement of regional economic development level, the three types of environmental regulation have gradually become more prominent in promoting the upgrading of industrial structure. In the mechanism test, it is found that technological innovation has a partial mediating effect in the process of CER affecting the upgrading of industrial structure, MER and public VER have a complete mediating effect, while foreign direct investment (FDI) has only a partial mediating effect in the process of the three types of environmental regulation affecting industrial advancement, and there is no mediating effect in the process of influencing the rationalization of industrial structure.

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Section: Mechanism Testmentioning

confidence: 99%

Heterogeneous environmental regulation and industrial structure upgrading: evidence from China

Wang

Zhao

2021

Environ Sci Pollut Res

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“…Moreover, the driving force of smart cities in accelerating economic growth is enhanced steadily with the improvement of financial development and information sharing [ 25 ]. The influence of smart factors on the efficiency and quality of urban development has been furtherly analyzed [ 26 ], among which the urban innovation level, the degree of government intervention, financial development level [ 27 , 28 ], foreign trade [ 29 ], and urbanization have been demonstrated to be conducive to the green economic development, industrial structure [ 30 ], and modernization [ 31 , 32 ]. Additionally, telecommunication construction is supposed to break regional market restrictions and reduce the coordination cost of enterprises, which is crucial to facilitate integrated market construction and improve production efficiency through the scale and intensive economy [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities

Wang

2022

IJERPH

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Green and smart city is an optimal choice for cities to realize their modernization of governance capacity and sustainable development. As such, it is necessary to clarify the evolutionary characteristics and driving mechanism of urban green and smart development level (GSDL) systematically. From the perspective of green total factor productivity (GTFP), this study adopted the SBM-GML (slack-based model & global Malmquist–Luenberger) method to measure the urban GSDL considering smart input-output elements. Based on the panel data of China’s 232 prefecture-level cities from 2005 to 2018, the spatial and temporal evolution characteristics of urban GSDL were explored, and the factors and structural mutation points affecting urban GSDL were analyzed with quantile regression tests and threshold regression tests. The findings of this paper showed that (1) there is an upward trend in the volatility of urban GSDL from 2005 to 2018, in which the eastern region was highest, followed by the central and western regions, and the differentiation showed no converge among regions; (2) the effect of technical progress and technical efficiency improvement on the urban GSDL was demonstrated with a fluctuating “Two-Wheel-Drive” trend on the whole; (3) the urban GSDL was promoted by the opening-up level and urban scale significantly, while inhibited by the level of economic development and government size. Additionally, the effects of industrial structure, financial development level, and human capital level on the urban GSDL were distinctive at different loci; (4) the threshold effects of economic and financial development level on improving the positive effects of industrial structure and opening-up level on urban GSDL were significant. These findings may enrich the research literature on the evolutionary heterogeneity of green and smart cities and provide theoretical and practical exploration for the construction of green and smart cities.

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“…For example, plenty of enterprises gathered in industrial parks are prone to high consumption of resources and energy, as well as high pollution emissions, which has damaged their local ecological environments and led to industrial parks becoming synonymous with highly polluted and energy-intensive areas [24][25][26]. The report of the 19th Party Congress highlights that China's economy has shifted from a stage of high growth to a stage of high-quality development, thus balancing economic development with ecological protection has become one of the major concerns of society [27,28]. To promote the development of eco-industries and eco-industrial parks, the Chinese government launched a pilot project for the construction of eco-industrial demonstration parks in 1999, aiming to establish several national eco-industrial demonstration parks (NEDP) during the 10th Five-Year Plan [29].…”

Section: Introductionmentioning

confidence: 99%

Does the Construction of National Eco-Industrial Demonstration Parks Improve Green Total Factor Productivity? Evidence from Prefecture-Level Cities in China

et al. 2021

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This study conducted quasi-natural experiments based on the panel data of 239 prefecture-level cities in China from 2005 to 2017. The difference-in-difference (DID) and mediation effect model are used to test the impact and mechanism of the construction of national eco-industrial demonstration parks (NEDP) on green total factor productivity (GTFP). The results show that: (1) The construction of NEDP has significantly improved the urban GTFP, and the conclusion is still valid after running the robustness test. (2) Mechanism analysis shows that the construction of NEDP has improved GTFP through technological innovation and industrial structure upgrading. (3) The heterogeneity results reveal that NEDP has a significant positive effect on GTFP in the central and western regions, while the effect was insignificant in the eastern region. Moreover, NEDP significantly contributes to GTFP in resource-based and non-resource-based cities, while the contribution of resource-based cities is greater than that of non-resource-based cities. This study provides a reference for China to further promote the construction quality of NEDP and green development.

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Impact of financial development and technological innovation on the volatility of green growth—evidence from China

Cited by 155 publications

References 102 publications

Heterogeneous environmental regulation and industrial structure upgrading: evidence from China

Heterogeneous environmental regulation and industrial structure upgrading: evidence from China

Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities

Does the Construction of National Eco-Industrial Demonstration Parks Improve Green Total Factor Productivity? Evidence from Prefecture-Level Cities in China

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