Digital economy and its spatial effect on green productivity gains in manufacturing: Evidence from China

Deng, Haiyan; Bai, Ge; Shen, Zhiyang; Xia, Lanqi

doi:10.1016/j.jclepro.2022.134539

Cited by 102 publications

(56 citation statements)

References 27 publications

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“…Dahlman et al (2016) argue that the digital economy incorporates a variety of general-purpose technologies and is a set of economic and social activities carried out by people through the Internet and related technologies. With the deepening of the digital economy (DE), DE has permeated all industrial fields and has increasingly become an important driving force for economic growth and emission reduction (Ren et al, 2022a;Deng et al, 2022). China has implemented several new policies such as "Broadband China" and "Internet+" to promote digital economy development (Hao et al, 2023;Wu et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model

Ren

2023

JIE

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The digital economy based on digital technology is an important force for high-quality economic growth and industrial transformation, and has great potential for value creation. Based on the data of 30 provinces in China from 2007 to 2017, this paper uses entropy method to calculate the industrial green transformation (IGT), and empirically analyzes the impact of Digital economy on IGT. The DE can significantly reduce IGT of local and neighboring areas after excluding the influence of macro system factors and replacing the spatial weight matrix. The DE can indirectly reduce the IGT by accelerating the accumulation of human capital, and green technology innovation. The impact of digital economy on IGT is a non-linear relationship. With the further improvement of environmental regulation, financial development and intellectual property protection, the role of digital economy in IGT is more obvious. To this end, it is necessary to speed up the construction and improvement of digital infrastructure, build an integrated layout of "digital infrastructure", give full play to the radiating role of the digital economy, and implement differentiated development paths based on regional comparative advantages.

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Section: Literature Reviewmentioning

confidence: 99%

Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model

Ren

2023

JIE

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“…Specifically on how the digital economy enhances GTFP, Zhou et al (2021) finds that the development of the digital economy enhances GTFP in our cities by optimizing the allocation of capital factors (Zhu et al, 2022); studies the development of the digital economy to enhance GTFP in our textile industry by optimizing the industrial structure. In terms of its spatial spillover effects, the digital economy not only has a positive effect on local GTFP, but also has a significant enhancement effect on other regions (Deng et al, 2022).…”

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confidence: 99%

Has the development of the digital economy improved green total factor productivity in China?—A study based on data at the provincial level in China

Wang

Xue

2023

Front. Environ. Sci.

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China's economic development has entered a new historical stage, and it is crucial to coordinate the linkage between economic development, resource allocation and environmental protection in this new stage. In view of this, this paper selects the panel data of 30 provinces (municipalities and autonomous regions) in China from 2011 to 2020, and firstly measures the Green Total Factor Productivity (GTFP) by using Slack Based Measure -Malmquist Luenberger method (SBM-ML); Then, the relationship between the development of digital economy and regional GTFP is analyzed by using the two-way fixed effect model and threshold effect; Finally, relevant policy suggestions are put forward. This paper found that: firstly, the development of digital economy significantly improves China's GTFP, and the conclusion still valid after considering a series of robustness tests; Secondly, there are obvious disparities in the development level of digital economy among provinces, and the development level of coastal areas is generally higher than that of inland areas, and according to the sub-regional regression results, the positive effect of digital economy on GTFP has regional heterogeneity, and the development of digital economy in coastal areas has a more significant effect on the enhancement of GTFP, while this effect in inland areas does not pass the significance test; Thirdly, according to the threshold effect test results, there is also a single threshold effect with institutional environment and technological innovation as the threshold variables for the impact of digital economy on GTFP in China.

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“…Numerous studies believe that digital transformation can motivate enterprises to undertake green innovation activities (Cecere et al 2014, Mubarak et al 2021, Zhang and Zhao 2023, Wang and Esperança 2023. Leveraging information technology and the internet, digital transformation reduces production costs, providing more financial support for green technological innovation (Deng et al 2022). It also lowers search and matching costs in transactions, effectively alleviating resource waste and distortion effects in resource allocation (Wang et al 2022, Han et al 2023.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…On one hand, governments can effectively use digital means to improve the efficiency of environmental regulation supervision. On the other hand, enterprises can use digital transformation to optimize human capital structure (El-Kassar and Singh 2019), alleviate information asymmetry (Liao and Shi 2018), and enhance resource element recombination capabilities (Amore and Bennedsen 2016), thereby significantly saving on innovation costs for enterprises (Deng et al 2022) and enhancing the motivation for green technological innovation in enterprises (He et al 2023). Therefore, in the digital age, green technological innovation can be directly driven by enterprise factors, investment, innovation, and motivation, or indirectly achieved through environmental regulatory means.…”

Section: Introductionmentioning

confidence: 99%

Research on the impact of environmental regulations on green technological innovation in China from the perspective of digital transformation: a threshold model approach

Xiao,

Zhang,

Wang

2024

Environ. Res. Commun.

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The digital transformation in developing countries is crucial in determining whether environmental regulations can better facilitate green technological innovation. This paper constructs a theoretical model to deduce the relationships among digital transformation, environmental regulations, and green technological innovation. Empirical research is conducted using a two-way fixed-effects model and a threshold regression approach, based on provincial panel data from China spanning the years 2013 to 2020. The results indicate that environmental regulation inhibits green technological innovation. However, digital transformation, by reducing cost pathways, can promote the efficiency of green technological innovation under environmental regulation. This moderating effect exhibits a nonlinear threshold characteristic. Regarding dimensions of digital transformation, the level of digital investment shows no threshold, while both the level of digital application and the scale of digital integration exhibit threshold effects. Presently, in China, digital transformation effectively incentivizes green technological innovation under environmental regulation. Therefore, increasing digital investment, advancing digital applications, and fostering digital integration are inevitable choices to drive green technological innovation under the pressure of environmental regulation.

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Digital economy and its spatial effect on green productivity gains in manufacturing: Evidence from China

Cited by 102 publications

References 27 publications

Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model

Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model

Has the development of the digital economy improved green total factor productivity in China?—A study based on data at the provincial level in China

Research on the impact of environmental regulations on green technological innovation in China from the perspective of digital transformation: a threshold model approach

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