How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China

Zhao, Jun; Jiang, Qi; Dong, Xiucheng; Dong, Kangyin; Jiang, Hong-Dian

doi:10.1016/j.eneco.2021.105704

Cited by 300 publications

(71 citation statements)

References 71 publications

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“…Carbon dioxide is a major source of the greenhouse effect, which is coupled with the increasing geographic proximity to economic exchanges (Zhao et al, 2022). Therefore, carbon emissions as an unintended output of economic activity may have spatial spillovers.…”

Section: Estimation Results Of the Spatial Spillover Effectsmentioning

confidence: 99%

Can the digital economy development curb carbon emissions? Evidence from China

Hao

Wen

et al. 2022

Front. Psychol.

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“Carbon neutrality, carbon peaking” is China’s national commitment to the whole world about its plans to manage global climate change. China faces many severe challenges in fulfilling its commitments to reduce emissions. China’s digital economy is currently booming, and whether it can provide opportunities for reducing regional carbon emissions is worth exploring. This study constructed a comprehensive system to evaluate the development of its digital economy based on China’s regional data and empirically tested the direct, indirect, and spatial effects of the comprehensive development of digital economy on regional carbon emissions. In addition, it examined the special stage characteristics using a Hansen threshold model. This study found the following: first, the digital economy significantly suppresses carbon emissions in general, notably with a spatial spillover effect to neighboring provinces. Secondly, an analysis of the mechanism shows that the comprehensive development of a digital economy can restrain regional carbon emissions through industrial progress and the optimization of energy consumption. Third, there are double thresholds, special driving trends and an “inverted N-type” relationship with development. Fourth, a spatial heterogeneity analysis revealed that significant “local” and “neighboring” impacts on the reduction of carbon emissions only exist in the central and eastern areas. This study has a reference value for releasing the dividend of digital economy development and reducing carbon emissions.

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Section: Estimation Results Of the Spatial Spillover Effectsmentioning

confidence: 99%

Can the digital economy development curb carbon emissions? Evidence from China

Hao

Wen

et al. 2022

Front. Psychol.

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“…The concentration of the urban population makes a great demand on resources in the early stages of urbanization. Low-carbon living is rapidly becoming a trend in urban life as urbanization progresses and inhabitants' living conditions and educational levels rise [27], suggesting an inverted U characteristic similar to that of economic urbanization in the long run due to population urbanization on NCE. During the research period, land urbanization limited the expansion of carbon sink areas in all provinces of YREB, resulting in an increase in the scale of net emission.…”

Section: Discussionmentioning

confidence: 99%

“…Except for changes in emissions from domestic sources, the migration of the population from rural and urban areas results in increased productivity and subsequent changes in regional industrial structures. The economic urbanization has greater effects on regional carbon emissions than demographic changes [27,28]. During the early stage of urbanization, the secondary industry expands quickly, resulting in a significant consumption of fossil energy and mineral resources as the primary source of CO 2 by industries and constructions that is accompanied by a substantial increase in CO 2 emissions [29].…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

Shen

Hong

Jiang

et al. 2022

Land

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Urbanization is a powerful symbol and an inevitable human economic and social development trend. This process affects carbon dioxide emissions by changing the human output and lifestyle and encroaches over the carbon sink areas by adjusting the land use types impacting the regional carbon balance. We systematically analyzed the influence of urbanization on regional net CO2 emissions (NCE) and built a quantitative model for the impact of urbanization on NCE based on population, economy, and land use. Based on this, the Yangtze River Economic Belt (YREB) in China has been selected as an example to measure the characteristics of the spatial and temporal evolution of NCE from 2005 to 2018 by empirically testing the contributions of population urbanization, economic urbanization, and land urbanization to the NCE changes in YREB. According to the study’s findings, the carbon-neutral pressure index of the YREB increased over the study period, with an increase in NCE from 1706.50 Mt to 3106.05 Mt. The contribution of urbanization in this process increased and subsequently decreased in an inverted U pattern with a drop in the cumulative net emission of 260.32 Mt. The inflection points of the cumulative impact of urbanization on NCE in the midstream and upstream regions occurred in 2011 and 2010, respectively. Due to the high degree of urbanization and economic growth in the downstream area, the urbanization impact demonstrated a constant reduction of NCE over the research period. In terms of sub-dimensions, the population and land urbanization effects were consistently positive, while the economic urbanization affected the NCE and displayed an inverted U pattern during the study period. If the variation in regional carbon sink space is ignored, the impact of urbanization on CO2 emission reduction will be overestimated. We investigated the realization path of differentiated synergistic emission reduction strategies in the great river economic belts based on the empirical study on YREB.

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“…According to Zhao et al [52], the upgrading of the industrial structure has significant spatial spillover effects. The digital economy weakens the space and time constraints of information transmission and expands the effective circulation of data elements, which in turn strengthens the depth and breadth of coordinated economic development between regions.…”

Section: The Spatial Spillover Of the Digital Economy On The Industri...mentioning

confidence: 99%

Does the Digital Economy Promote Upgrading the Industrial Structure of Chinese Cities?

Zhao

Peng²,

Wen³

et al. 2022

Sustainability

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As the driving force for the upgrading of the global industrial structure, digital technology has been at the helm of transforming the current economic and technological paradigm. This study empirically analyzes the role of the digital economy in the upgrading industrial structure using panel data from 237 prefecture-level cities in China from 2011–2019. Empirical results show that the development of the digital economy has a significant positive and direct effect on the upgrading of industrial structure, as measured by the two indicators of advancement and servitization. In addition, the digital economy significantly promotes upgrading of the technological progress and human capital of Chinese cities, thus promoting upgrading of the industrial structure. Moreover, the spatial autoregressive model (SAR) and the Spatial Durbin model (SDM) both show that the digital economy has a positive spatial spillover effect on upgrading of the industrial structure.

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How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China

Cited by 300 publications

References 71 publications

Can the digital economy development curb carbon emissions? Evidence from China

Can the digital economy development curb carbon emissions? Evidence from China

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

Does the Digital Economy Promote Upgrading the Industrial Structure of Chinese Cities?

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