How do carbon dioxide emissions respond to industrial structural transitions? Empirical results from the northeastern provinces of China

Zhang, Pingdan; Yuan, Haoming; Bai, Fuli; Tian, Xin; Feng, Shuyi

doi:10.1016/j.strueco.2018.08.005

Cited by 24 publications

(6 citation statements)

References 37 publications

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“…As shown in column 5 of Table 1, the regression coefficient of RCS on industrial structure is significantly positive, indicating that RCS can promote the upgrading of industrial structure. Research has shown that upgrading the industrial structure can improve labor productivity, shift high energy consumption and pollution industries, such as resource-related manufacturing, mining, and construction, towards high-tech directions, and effectively reduce CO 2 intensity [53]. Combining the regression result and previous research, we can conclude that the upgrading of the regional industrial structure is still an important part of decarbonization in China.…”

Section: Upgrade Of Industrial Structurementioning

confidence: 63%

Effect of River Chief System on Carbon Emission Efficiency: Evidence from China

Chen,

Wei

2024

Pol. J. Environ. Stud.

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As a new type of environmental regulation implemented independently by local governments in recent years, the River Chief System (RCS) has become an important institutional innovation for the coordinated development of the economy and environment. However, most scholars only pay attention to the contribution of the river chief system in the field of water governance and ignore the changes made to regional carbon control. Based on panel data from 282 cities in China from 2007 to 2019, a time-varying DID was used to assess the policy impact of RCS on urban carbon emission efficiency. Our study found that: (1) The RCS has improved the efficiency of urban carbon emissions through industrial structure upgrading and green technology innovation. (2) Heterogeneity analysis shows that central cities and nonresource-oriented cities are more susceptible to the influence of the RCS and improve carbon emission efficiency. More than that, cities with appropriate environmental regulation intensity can better leverage the carbon governance effect of RCS. (3) The RCS has formed an unexpected policy effect of "beggar thy neighbor" in space, and its effect has a time lag.

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Section: Upgrade Of Industrial Structurementioning

confidence: 63%

Effect of River Chief System on Carbon Emission Efficiency: Evidence from China

Chen,

Wei

2024

Pol. J. Environ. Stud.

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“…The secondary industry includes most high-energy consumption sectors and is characterized by high pollution; the secondary industrywhich is dominated by the heavy industryhas a large demand for energy consumption, thereby increasing the reliance on coal and oil, which greatly increases carbon emissions. The development of the secondary industry comes at the cost of much energy consumption (Zhang et al 2018;Zhu et al 2021). The tertiary industry mainly includes two major sectors: circulation and services, which are less dependent on energy and produce less carbon emission.…”

Section: Discussionmentioning

confidence: 99%

Research on the spatial effect and threshold effect of industrial structure upgrading on carbon emissions in China

Zhou

2021

Journal of Water and Climate Change

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Based on panel data from 2000 to 2017 in 29 Chinese provinces, this paper analyzes the impact of industrial structure upgrading on carbon emissions by constructing a spatial panel model and a panel threshold model. The results show that (1) there is a significant spatial correlation between carbon emissions in Chinese provinces, and the carbon emissions of a province are affected by the carbon emissions of surrounding provinces; (2) in China, carbon emissions have a significant time lag feature, and current carbon emissions are largely affected by previous carbon emissions; (3) industrial structure upgrading can effectively promote carbon emission reductions in local areas, and the impact of industrial structure upgrading on carbon emissions has a significant threshold effect. With continued economic development, the promotion effect of industrial structure upgrading on carbon emission reductions will decrease slightly, but this carbon emission reduction effect is still significant. (4) In addition, there is a clear difference between the impact of energy consumption intensity and population size on carbon emissions in short and long terms. In the short term, the increase in energy consumption intensity and the expansion of population size not only increase the carbon emissions of a local area but also increase the carbon emissions of neighboring areas. In the long term, the impact of energy consumption intensity and population size on carbon emissions of neighboring areas will be weakened, but the promotion impact on carbon emissions in local areas will be strengthened.

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“…Some studies have used indicators of output or employment proportion in macro-level industrial sectors in a region, regarding which the most common conclusion is that industrial structure upgrading, i.e., transforming from a secondaryto a tertiary-dominated economy, will promote carbon emissions efficiency [1,2,[15][16][17][18]. Previous studies have also identified the key carbon-emitting sectors based on input-output analysis [19,20]. However, these studies do not consider the spatial agglomeration of industrial activities.…”

Section: Introductionmentioning

confidence: 99%

How Does Diversification of Producer Services Agglomeration Help Reduce Carbon Emissions Intensity? Evidence from 252 Chinese Cities, 2005–2018

Luo,

Bi,

2024

Sustainability

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Mitigating carbon emissions intensity (CEI) and promoting carbon neutrality at the city level are essential for addressing the challenges of global climate change and advancing sustainable development. This study examines the influence of producer services agglomeration diversification (PSAD) on CEI using an unbalanced panel dataset including 252 Chinese prefectural-level cities from 2005 to 2018 for empirical analyses. We find that improving PSAD in a city can significantly mitigate CEI. Stronger PSAD accelerates a city’s industrial structure transformation from secondary- to tertiary-dominated in addition to boosting green development capabilities, both of which are confirmed to have concrete carbon emissions reduction effects. Furthermore, PSAD only significantly alleviates CEI in non-eastern cities in China, and the benefits of carbon emissions reduction are stronger after 2010. Our policy insights highlight land utilization in shaping the intracity layouts of producer services agglomerations (PSAs) and stress regional-level measures. Recognizing regional differences and integrating PSAs allocation with broader institutional measures can amplify PSAD’s benefits.

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How do carbon dioxide emissions respond to industrial structural transitions? Empirical results from the northeastern provinces of China

Cited by 24 publications

References 37 publications

Effect of River Chief System on Carbon Emission Efficiency: Evidence from China

Effect of River Chief System on Carbon Emission Efficiency: Evidence from China

Research on the spatial effect and threshold effect of industrial structure upgrading on carbon emissions in China

How Does Diversification of Producer Services Agglomeration Help Reduce Carbon Emissions Intensity? Evidence from 252 Chinese Cities, 2005–2018

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