Do carbon emissions accelerate low-carbon innovation? Evidence from 285 Chinese prefecture-level cities

Pan, An; Zhang, Wenna; Xie, Qizhuo; Dai, Ling; Zhang, Yunyi

doi:10.1007/s11356-021-14291-w

Cited by 17 publications

(11 citation statements)

References 65 publications

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“…Under the theoretical analyses and research hypotheses, we test whether industrial structure upgrading is a mediating variable. Referring to a previous method (Pan et al, 2021), this section tests the mechanism through the mediating effect model in three steps. This model is as follows:

{lcsd}_{it} goodbreak= α_{0} goodbreak+ α_{1} {dig}_{it} goodbreak+ \sum α_{j} {control}_{jit} goodbreak+ {city}_{i} goodbreak+ {year}_{t} goodbreak+ ε_{it},

{ind}_{it} goodbreak= β_{0} goodbreak+ β_{1} {dig}_{it} goodbreak+ \sum β_{j} {control}_{jit} goodbreak+ {city}_{i} goodbreak+ {year}_{t} goodbreak+ ε_{it},

{lcsd}_{it} goodbreak= γ_{0} goodbreak+ γ_{1} {dig}_{it} goodbreak+ γ_{2} {ind}_{it} goodbreak+ \sum γ_{j} {control}_{jit} goodbreak+ {city}_{i} goodbreak+ {year}_{t} goodbreak+ ε_{it},

where Equation (2) is consistent with the direct effect model Equation (1), but many control variables are denoted by

\sum α_{j} {control}_{jit}

in the former.…”

Section: Methodsmentioning

confidence: 99%

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Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Tan,

Yang,

Irfan

et al. 2023

Bus Strat Env

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Low‐carbon sustainable development is considered an essential strategy for achieving economic growth and environmental protection, requiring a fundamental transformation of the industrial structure, including developing clean technologies, promoting energy efficiency, and adopting sustainable production and consumption patterns. Simultaneously, the evolving digital economy is acknowledged as an essential driver in optimizing the industrial structure. Therefore, can digital economy development reshape the industrial structure and lead to low‐carbon sustainable development? The main purpose of this paper is to examine the mediating role of industrial structure upgrading in the relationship between the digital economy and low‐carbon development. Its ultimate purpose is to explore more possible paths to achieve low‐carbon development. This paper builds a regression model based on the data of cities. We found that digital economic development can directly promote low‐carbon sustainable development, a conclusion that still holds after endogeneity discussion and robustness testing. Additionally, digital economy development can promote industrial structure upgrading and thus promote low‐carbon sustainable development, meaning that industrial structure upgrading is an effective mechanism for digital economy development to promote low‐carbon sustainable development. This paper provides empirical evidence for the positive environmental externalities of digital economic development and establishes a basic research framework of “digital economic development → industrial structure upgrading → low‐carbon sustainable development.”

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{lcsd}_{it} goodbreak= α_{0} goodbreak+ α_{1} {dig}_{it} goodbreak+ \sum α_{j} {control}_{jit} goodbreak+ {city}_{i} goodbreak+ {year}_{t} goodbreak+ ε_{it},

{ind}_{it} goodbreak= β_{0} goodbreak+ β_{1} {dig}_{it} goodbreak+ \sum β_{j} {control}_{jit} goodbreak+ {city}_{i} goodbreak+ {year}_{t} goodbreak+ ε_{it},

{lcsd}_{it} goodbreak= γ_{0} goodbreak+ γ_{1} {dig}_{it} goodbreak+ γ_{2} {ind}_{it} goodbreak+ \sum γ_{j} {control}_{jit} goodbreak+ {city}_{i} goodbreak+ {year}_{t} goodbreak+ ε_{it},

where Equation (2) is consistent with the direct effect model Equation (1), but many control variables are denoted by

\sum α_{j} {control}_{jit}

in the former.…”

Section: Methodsmentioning

confidence: 99%

Section: Theoretical Analyses and Research Hypothesesmentioning

confidence: 99%

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Tan,

Yang,

Irfan

et al. 2023

Bus Strat Env

View full text Add to dashboard Cite

show abstract

“…Urbanization construction at the current stage has gradually achieved intensive and efficient development. Residents with high income levels are increasingly aware of environmental protection and highly accept low-carbon lifestyles in their daily lives [64,65].…”

Section: Decomposition Analysis Of the Dimension Contribution Degreementioning

confidence: 99%

Coordinated Development of Renewable Energy: Empirical Evidence from China

et al. 2022

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The utilization of renewable energy (RE) is a meaningful way to realize the low-carbon transformation of energy systems. However, due to the imbalance of resources, economy, technology, society, and environment among regions, the coordinated development of regional RE may be restricted by different factors, which brings challenges to the formulation of relevant development policies. This paper focuses on the development of RE in 30 provinces in China from 2011 to 2019. It uses the AHP-EM integrated evaluation model to evaluate the constructed multilayer indicator system for the comprehensive development of RE. The characteristics of the coupling and coordination relationship between indicators are explored, and the critical driving factors affecting the coordinated development and change in RE in different regions are quantitatively identified through the logarithmic mean Divisia index method. The results show that the comprehensive development level of RE in each province is relatively low, and the relatively high-level areas gradually move eastward in terms of spatial distribution. The degree of coupling and coordination between indicators is still in a low-level coupling stage, and RE in each region has not achieved coordinated development. In addition, the comprehensive development of regional RE is consistent with the spatial evolution characteristics of the degree of coordination among indicators, emphasizing the importance of coordinated development among indicators for RE. These findings will provide broader insights for improving the comprehensive development level of regional RE and formulating differentiated policies.

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“…By promoting low-carbon technology innovation [2], stimulating industrial upgrading [3], attracting talent aggregation and other ways, low-carbon city policies promote cities' development [4]. At the same time, compared with non-low carbon pilot cities, the construction of low carbon cities can effectively reduce carbon emissions [5], promote the development of green economy, improve total factor productivity of enterprises [6], and promote technological innovation of enterprises [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Static and Dynamic Comprehensive Evaluation of Urban Low-Carbon Development Quality

Meng¹

2022

BCPBM

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In order to evaluate the quality of low-carbon development of each city in China more comprehensively, this paper innovatively introduces low-carbon innovation into the evaluation model and evaluates the quality of low-carbon development of each city in China using the dynamic evaluation method. Through the static evaluation model, it is obtained that the cities of Beijing, Shanghai Chongqing and Shenzhen are at the stage of high-quality low-carbon development; through the dynamic evaluation model, it is concluded that the cities of Shanghai and Shenzhen have higher potential for sustainable low-carbon development in the future.

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Do carbon emissions accelerate low-carbon innovation? Evidence from 285 Chinese prefecture-level cities

Cited by 17 publications

References 65 publications

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Coordinated Development of Renewable Energy: Empirical Evidence from China

Analysis of Static and Dynamic Comprehensive Evaluation of Urban Low-Carbon Development Quality

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