Analysis of the Impact of Industrial Structure Upgrading and Energy Structure Optimization on Carbon Emission Reduction

Fan, Guoguang; Zhu, Angela; Xu, Huimin

doi:10.3390/su15043489

Cited by 19 publications

(8 citation statements)

References 56 publications

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“…Fourthly, energy efficiency (EE) is depicted by the economic benefit per unit of energy [33]. Lastly, electricity structure (ES) is characterized by the proportion of thermal power generation [34].…”

Section: Variable Selection and Datamentioning

confidence: 99%

The Temporal–Spatial Evolution Characteristics and Influential Factors of Carbon Imbalance in China

Liu,

Lei,

Zhang

2024

Sustainability

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The ongoing progress of industrialization and urbanization has exacerbated the imbalance between carbon emissions and absorption, leading to heightened risks of climate change, such as frequent occurrences of extreme weather events. Clarifying the driving forces and temporal–spatial evolution characteristics of China’s carbon balance holds significant theoretical value in understanding the systemic nature and patterns of interaction between carbon emissions and absorption. We utilize provincial panel data from 2005 to 2021 in China and a spatial Durbin model to explore the spatial spillover effects of carbon imbalance and its influencing factors. The results indicate a gradual exacerbation of carbon imbalance in China over time. There exists a spatially positive correlation pattern in provincial carbon imbalance distribution. From 2005 to 2010, intra-regional differences in carbon imbalance levels were a significant contributor to China’s overall carbon imbalance disparity, while from 2011 to 2019, inter-regional differences played a more substantial role. Given the apparent phenomena of population aggregation, industrial concentration, and economic interdependence among provinces, changes in population size, economic growth, and industrial structure exacerbate the level of carbon imbalance in spatially correlated regions. Conversely, due to knowledge and technology spillovers, improvements in energy efficiency facilitated by the flow of production factors like capital aid in the governance of carbon imbalance in spatially associated areas. We emphasize that local governments should focus on a regional integration perspective in carbon imbalance governance and strategically coordinate with neighboring provinces and cities to advance carbon imbalance governance. The findings provide theoretical support for understanding and effectively managing the situation of carbon imbalance in China.

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Section: Variable Selection and Datamentioning

confidence: 99%

The Temporal–Spatial Evolution Characteristics and Influential Factors of Carbon Imbalance in China

Liu,

Lei,

Zhang

2024

Sustainability

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“…In addition, it can also be found that the development of commercial economy and the improvement of human capital have an obvious effect on the upgrading of industrial structure, and improving the level of science and education is more beneficial to the low carbonization of industrial internal structure [32].…”

Section: The Threshold Regression Analysismentioning

confidence: 99%

The Impact of Ecological Governance on Industrial Structure Upgrading under the Dual Carbon Target

et al. 2023

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Under China’s goal of “carbon neutrality”, appropriate ecological governance is crucial for upgrading the industrial structure, and too strict or loose governance will have a negative effect. In order to find the optimal range for ecological governance efforts, the concept of the industrial low-carbon index was defined based on the comparison of industrial carbon emissions and output value. The industrial structure was measured from two dimensions: overall upgrading and internal optimization of the industry. We innovatively use multiple indicators to represent the core explanatory variables and use the coefficient of variation method to calculate them. A threshold regression model for ecological governance and industrial structure based on the above indicator system was built, using indicator data from 288 cities in China over the past 15 years for empirical analysis. The study found that (1) ecological governance has a threshold effect on the overall upgrading and internal optimization of the industrial structure, and overall efforts need to be increased for ecological governance; (2) the governance intensity for different cities needs to be determined according to their economic levels and local conditions; and (3) the industrial structure gap among cities will gradually narrow, and the overall development tends to be balanced.

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“…With the improvement in innovation level, technological changes are brought about, and new technologies can effectively drive traditional industrial upgrading through penetration, overturn, and reconstruction, which is attributed to their high added values, high correlation, and high permeability [67]. With the continuous advances in industrial structure, the pollution problems caused by traditional industrial structures will gradually be relieved and, finally, the green sustainable development of cities will be realized [68].…”

Section: Industrial Structure Optimization Effectmentioning

confidence: 99%

A Study on the Influence of Green Industrial Policy on Urban Green Development: Based on the Empirical Data of Ecological Industrial Park Pilot Construction

2023

Sustainability

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Balancing economic development and ecological protection is a dilemma that requires a solution. The construction of ecological industrial parks is expected to be the key to resolving this situation. Based on panel data from 276 prefecture-level cities in China spanning from 2004 to 2019, this paper presents a multi-period difference-in-differences (DID) model to identify the causal relationship between eco-industrial parks and the development of urban green spaces. The research indicates that the creation of eco-industrial parks can significantly promote the sustainable development of urban areas, with a policy promotion effect of approximately 0.0279. The analysis of the mechanism indicates that the implementation of a green industrial policy can enhance the level of sustainable development in cities. This can be accomplished by promoting eco-friendly innovation, facilitating the optimization of industrial structures, and strengthening environmental regulations. A heterogeneity analysis reveals that the impact of eco-industrial parks on promoting green development is more significant in cities located in the eastern and northern regions, as well as those with abundant human capital and financial resources. Conversely, cities situated in the central and western regions, as well as those with low levels of financial resources and non-human capital, tend to experience limited benefits from policies. The conclusions of this study can provide guidance for urban transformation and facilitate sustainable development. Moreover, these parks can function as case studies and provide valuable reference experiences for countries that have not yet established eco-industrial parks.

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Analysis of the Impact of Industrial Structure Upgrading and Energy Structure Optimization on Carbon Emission Reduction

Cited by 19 publications

References 56 publications

The Temporal–Spatial Evolution Characteristics and Influential Factors of Carbon Imbalance in China

The Temporal–Spatial Evolution Characteristics and Influential Factors of Carbon Imbalance in China

The Impact of Ecological Governance on Industrial Structure Upgrading under the Dual Carbon Target

A Study on the Influence of Green Industrial Policy on Urban Green Development: Based on the Empirical Data of Ecological Industrial Park Pilot Construction

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