Does regional planning policy of Yangtze River Delta improve green technology innovation? Evidence from a quasi-natural experiment in China

Xu, Hong; Qiu, Lei; Liu, Baozhen; Liu, Bei; Wang, Hui; Lin, Weifen

doi:10.1007/s11356-021-14946-8

Cited by 35 publications

(19 citation statements)

References 63 publications

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“…In the choice of econometric model, unlike the general policy of full roll-out, the pilot policy of PFTZ construction is set in different regions, and the data is continuous. At the same time, compared to normal policy assessment methods, DID method can better address the endogeneity problem (Basri et al, 2021 ; Londoño-Vélez and Ávila-Mahecha, 2021 ; Xu et al, 2022 ; Xu et al, 2021 ) and more accurately assess the impact effect of the PFTZ construction on urban GTFP. Therefore, based on panel data of 279 cities in China from 2004 to 2018, this study takes the establishment of PFTZ as a quasi-natural experiment and uses the time-varying difference-in-differences method to explore whether the establishment of PFTZ promotes urban GTFP.…”

Section: Methodsmentioning

confidence: 99%

Do pilot free trade zones improve the green total factor productivity? Evidence from a quasi-natural experiment in China

Wang

et al. 2022

Environ Sci Pollut Res

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China’s pilot free trade zone (PFTZ) is an important national strategy to achieve high-quality development, so it is necessary to discuss the effect of PFTZ implementation on green total factor productivity (GTFP). Based on the data from 279 cities in China from 2004 to 2018, this study takes the establishment of PFTZ as a quasi-natural experiment and uses the difference-in-differences (DID) method to systematically evaluate the effect of PFTZ on urban GTFP. The empirical results of this paper are shown as follows: Firstly, the construction of PFTZ has a significant effect on urban GTFP, and this effect has increased gradually over time. Secondly, the construction of PFTZ mainly promotes the urban GTFP by increasing the level of science and technology innovation, reducing government intervention and improving the level of human capital. Thirdly, the effect of PFTZ construction on GTFP is more pronounced in regions with earlier waves of PFTZ and in western regions where environmental concerns are higher. In addition, there is a significant positive linkage between the construction of the PFTZ and the Belt and Road Initiative to improve the urban GTFP. The findings of this paper enrich the relevant literature on PFTAs and sustainable development and provide a theoretical basis for further promotion of PFTZ construction.

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Section: Methodsmentioning

confidence: 99%

Do pilot free trade zones improve the green total factor productivity? Evidence from a quasi-natural experiment in China

Wang

et al. 2022

Environ Sci Pollut Res

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“…Regional planning is a public policy tool common to both developed and developing countries (Beloto, 2020;Davis, 2004;Li and Wu, 2013). China's regional planning aims to achieve a coordinated layout of regional economic and innovation factors based on the geographical location of cities in the region (Xu et al, 2021). As urban system planning is a type of regional planning in China, this study uses the Urban System planning of Shandong Province (2011-2030) case to illustrate the specific application of the results of a city supply network study in optimizing regional planning.…”

Section: Discussionmentioning

confidence: 99%

Spatial structure and influencing factors of regional city supply networks in manufacturing: A case study of Shandong, China

Yan

Wang²,

Zhao³

et al. 2023

Front. Environ. Sci.

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COVID-19 has driven the formation of regional supply chains. In addition, cities became the basic units of intra-regional supply chain organization under urban administrative economies. Based on the data mining of the buyer-supplier relationship of listed manufacturing firms, this study explores the spatial characteristics of city supply networks within Shandong by the indexes of degree centrality, closeness centrality, betweenness centrality, eigenvector centrality, and a community detection algorithm using the social network analysis (SNA) method and ArcGIS software. It investigates the influencing factors of city supply networks by the correlation and regression of the quadratic assignment procedure (QAP). The results show the following: 1) Shandong has formed a multi-center city supply network with Jinan, Qingdao, Yantai-Weihai, and the distribution pattern of city centrality measured by different centrality indicators shows differences. 2) Cities belonging to the same network community show a coexistence of spatial proximity and “enclave” distribution. 3) Geographic proximity, convenient transportation links, administrative district economy, similarity of business environments represented by development zones, export-oriented or domestic market-oriented division of labor between cities, value chain division of labor between cities, and land price differences between cities promote the formation of regional city supply networks. Conversely, differences in local market size and wage levels between cities hinder the formation of city supply networks. This study attempts to apply the analysis results to regional planning from the perspective of regional industrial synergy development. Additionally, as it is based on typical Chinese provinces, it can provide policy references for national administrative regions and countries/regions at similar spatial scales for manufacturing supply chains, as well as for regional spatial layout decisions of manufacturing enterprises.

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“…Since areas with better ecological endowments coincide with poorer areas, in order to accurately estimate the causal effect of poverty eradication policy implementation on county ecological quality, it is necessary to exclude endogeneity due to omitted variables, reverse causality and interference from other factors, and reduce the interference of endogeneity in the identification of disturbance causality. Therefore, this paper adopts the difference-in-differences (DID) model (Alari et al, 2021;Wang and Li, 2019) and refers to the model settings of Chen and Xu, on the basis of controlling for regional and year fixed effects (Chen et al, 2020;Xu et al, 2021), eliminating the differences in natural, geographic and economic conditions that do not change over time between the two groups before and after the policy intervention and external shocks from the national level (Athey and Imbens, 2006;Davies et al, 2008;Hawkins and Baum, 2016), in order to exclude other factors from interfering as much as possible, and finally obtain the following model 1). For robustness testing, this paper uses a series of methods such as propensity score matching method, changing time intervals, changing variable measures, changing model settings, and lagging variables to test the robustness of the results.…”

Section: Empirical Model Constructionmentioning

confidence: 99%

Does China’s poverty alleviation policy improve the quality of the ecological environment in poverty-stricken areas?

Ran

Hua

et al. 2022

Front. Environ. Sci.

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Poverty eradication and environmental protection as the two global goals of sustainable development. China’s poverty alleviation policy attempts to achieve green development in poverty-stricken areas by eliminating poverty while also promoting environmental protection. Since the Poverty-stricken counties on the Qinghai-Tibet Plateau also have the dual attributes of ecological degradation and ecological fragility, it is of great significance to study the impact of poverty alleviation policy on their environment. In this research, taking poverty alleviation policy as the entry point, based on panel data and Remote Sensing Ecological Index for poverty-stricken counties on the Qinghai-Tibet Plateau from 2011 to 2019, and using the difference-in-differences (DID) method to verify the impact of policy on environmental quality. The main findings of the study were: 1) The poverty alleviation policy has a significant improvement effect on the ecological environment quality of counties in the Qinghai-Tibet Plateau region, and this conclusion still holds in a series of robustness tests using methods including the changing sample size method and the variable replacement method. Moreover, the policy effect has a certain time lag and its effect persists in the long term; 2) It is mainly due to the increased level of government public expenditure and the easing of government financial pressure that has contributed to the improvement of environmental quality in poverty-stricken areas; 3) Policy heterogeneity suggests that industrial poverty eradication policies are more conducive to promoting synergistic economic and environmental development in poverty-stricken areas.

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Does regional planning policy of Yangtze River Delta improve green technology innovation? Evidence from a quasi-natural experiment in China

Cited by 35 publications

References 63 publications

Do pilot free trade zones improve the green total factor productivity? Evidence from a quasi-natural experiment in China

Do pilot free trade zones improve the green total factor productivity? Evidence from a quasi-natural experiment in China

Spatial structure and influencing factors of regional city supply networks in manufacturing: A case study of Shandong, China

Does China’s poverty alleviation policy improve the quality of the ecological environment in poverty-stricken areas?

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