Role of environmental regulations, green finance, and investment in green technologies in green total factor productivity: Empirical evidence from Asian region

Tong, Lei; Jabbour, Charbel José Chiappetta; Belgacem, Samira Ben; Najam, Hina; Abbas, Jawad

doi:10.1016/j.jclepro.2022.134930

Cited by 84 publications

(39 citation statements)

References 48 publications

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“…Cheng et al examined the impact of environmental regulations on GTFP from a spatial perspective, by dividing them into command-based and market-based environmental regulations, showing that both boost the expansion of GTFP and that the combination of command-based and market-based environmental regulations is more favorable to GTFP [ 11 ]. Lee, C. et al, Lena et al, and Tong et al all pointed out that environmental regulation made a significant contribution to GTFP [ 12 , 13 , 14 ]. The second is the “green-paradox hypothesis”, which states that environmental regulations will hinder the improvement of green total-factor productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

The Relationship between Environmental Regulation, Green-Technology Innovation and Green Total-Factor Productivity—Evidence from 279 Cities in China

Lin

Xiao

2022

IJERPH

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This paper employs the SBM-DDF method to measure the index of green total-factor productivity (GTFP), based on the panel data of 279 prefecture-level cities in China from 2007 to 2019, and constructs a spatial Durbin model (SDM) and a threshold effect to empirically test the effects of dual environmental-regulations and green technological innovation on GTFP. The results are as follows: (1) the SDM supports a nonlinear contribution of dual environmental-regulations spillover to GTFP. The relationship between formal environmental-regulation and GTFP is an inverted U-shape, while a U-shaped nonlinear relationship is found between informal environmental regulation and GTFP. (2) Green technology innovation has a significant negative moderating effect on the process of dual environmental-regulations affecting GTFP in local regions, but a positive moderating effect on informal environmental regulation in neighboring regions. (3) There is a significant green technology innovation threshold effect of dual environmental-regulations affecting GTFP. Specifically, the promotion effect of dual environmental-regulations on GFFP gradually increases as the level of green technology innovation increases.

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Section: Literature Reviewmentioning

confidence: 99%

The Relationship between Environmental Regulation, Green-Technology Innovation and Green Total-Factor Productivity—Evidence from 279 Cities in China

Lin

Xiao

2022

IJERPH

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“…Other researchers have focused on the driving factors of GTFP, such as factor market distortion [17], internet technology [18], land transfer marketization [19], political competition [20], foreign direct investment [21], energy consumption transition [22], financial agglomeration [23], green finance [24], green innovation [25], trade openness [26] investment in green technologies [27], and environmental regulation [28,29]. In addition, some studies have taken a few policies as quasi-natural experiments and investigated the policy effects on GTFP, for example, SO 2 emissions trading scheme [30], free trade zone [31], e-commerce city pilot [32], emission trading system [33], smart city policy [34], and carbon trading [35].…”

Section: Research On Gtfpmentioning

confidence: 99%

Exploring the Direct and Spillover Effects of Aging on Green Total Factor Productivity in China: A Spatial Econometric Approach

et al. 2023

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China is a rapidly aging nation. Therefore, it is a matter of urgency to address the challenges of aging in China and to coordinate the relationships between population aging, environmental issues, and socio-economic development. However, few empirical studies have thus far analyzed the impact of aging on green total factor productivity (GTFP) in China. Hence, this study employs a global Malmquist–Luenberger index method (GMLI) to calculate the GTFP scores of 30 Chinese provinces from 2002 to 2018. We apply spatiotemporal analysis methods to identify the variations of population aging and GTFP scores and then build a spatial econometric model to examine the impact of population aging on GTFP. Our study findings are as follows. (1) Whereas at the beginning of the 21st century, provinces with deep aging were mostly situated in the east, the population aging issue in China is now spreading across the entire country. (2) From a dynamic perspective, the overall GTFP growth rate in China during the sample period depicts a U-shaped structure with time. (3) Results of the spatial Durbin model show that the impact of population aging in a given region on GTFP is negative, but the spatial spillover effect of aging in neighboring regions on GTFP in a given region is positive, resulting in the loss of younger local labor forces in some provinces due to low birth rates and migration to neighboring regions. Finally, to cope with a growing aging population and to possibly eliminate the negative impacts of population aging on high-quality sustainable development, the government should promote the establishment of the old-age security system; increased investment in R & D and wide use of advanced technology should also be urgently encouraged.

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“…Rusiawan et al (2015) assess GTFP in Indonesia and point out that GTFP can promote local productivity growth and emission reduction. More scholars have explored the GTFP of Asian countries (Peng et al, 2020;Tong et al, 2022;Wang et al, 2022b) and European countries (Xie et al, 2021a). We can see that countries have shown great interest in enhancing GTFP as a necessary way for global sustainable development.…”

Section: Literature Review 21 Studies Of Gtfpmentioning

confidence: 99%

Does Internet development have a spatial fluctuation spillover effect on green total factor productivity in China? A Spatial-SAR-ARCH model

Dong

Wang

Ren

2023

MEQ

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PurposeThe purpose of this study is to examine the spatial fluctuation spillover effect of green total factor productivity (GTFP) under the influence of Internet development.Design/methodology/approachUsing panel data from 283 cities in China for the period 2003–2016, this paper explores the spatial fluctuation spillover effect of internet development on GTFP by applying the spatial autoregressive with autoregressive conditional heteroscedasticity model (SARspARCH).FindingsThe results of Moran's I test of the residual term and the Bayesian information criterion (BIC) value indicate that the GTFP has a spatial fluctuation spillover effect, and the estimated results of the SARspARCH model are more accurate than the spatial autoregressive (SAR) model and the spatial autoregressive conditional heteroscedasticity (spARCH) model. Specifically, the internet development had a positive spatial fluctuation spillover effect on GTFP in 2003, 2011, 2012 and 2014, and the volatility spillover effect weakens the positive spillover effect of internet development on GTFP. Moreover, Internet development has a significant positive spatial fluctuation spillover effect on GTFP averagely in eastern China and internet-based cities.Research limitations/implicationsThe results of this study provide digital solutions for policymakers in improving the level of GTFP in China, with more emphasis on regional synergistic governance to ensure growth.Originality/valueThis paper expands the research ideas for spatial econometric models and provides a more valuable reference for China to achieve green development.

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Role of environmental regulations, green finance, and investment in green technologies in green total factor productivity: Empirical evidence from Asian region

Cited by 84 publications

References 48 publications

The Relationship between Environmental Regulation, Green-Technology Innovation and Green Total-Factor Productivity—Evidence from 279 Cities in China

The Relationship between Environmental Regulation, Green-Technology Innovation and Green Total-Factor Productivity—Evidence from 279 Cities in China

Exploring the Direct and Spillover Effects of Aging on Green Total Factor Productivity in China: A Spatial Econometric Approach

Does Internet development have a spatial fluctuation spillover effect on green total factor productivity in China? A Spatial-SAR-ARCH model

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