How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models

Wu, Haitao; Hao, Yu; Weng, Jia-Hsi

doi:10.1016/j.enpol.2018.11.057

Cited by 254 publications

(93 citation statements)

References 84 publications

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“…Many provinces in the Yellow River Basin are still in the transition period from industrial society to post-industrial society. The developed secondary industry is representative [29]. The level of technological innovation is represented by the intensity of R&D funding.…”

Section: Dynamic Panel Data Analysismentioning

confidence: 99%

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

et al. 2020

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Promoting new-type urbanization with the concept of green development has become an inevitable requirement for high-quality development in the Yellow River Basin. Grasping the development trend and influencing factors of green urbanization level in the Yellow River Basin is of great significance for implementing the international conventions on environmental protection and participating in global environmental governance. This paper selects the green urbanization level panel data of nine provinces in the Yellow River Basin from 2006 to 2018. Then, principal component analysis and factor analysis are applied to measure and evaluate the green urbanization level of each province. Furthermore, this paper constructs a dynamic panel estimation model and uses differential generalized method of moments (DIF-GMM) model and system generalized method of moments (SYS-GMM) model to explore the influencing factors. The results show that the overall level of green urbanization in the Yellow River Basin has steadily and rapidly increased, and there are significant spatial differences. The green urbanization level of eastern provinces is significantly higher than that of central and western provinces. In addition, the overall level of green urbanization shows a convergence trend. From the perspective of influencing factors, the factors that have significant positive effects on the level of green urbanization include economic development level, technological innovation level, and urban size. Industrial structure, foreign direct investment (FDI), and education level counteract the level of green urbanization. However, environmental regulation strength and opening degree fail to pass the significance test. Therefore, it is necessary to promote and upgrade industrial transformation, improve the quality of opening up, and strengthen cooperation in technological innovation and environmental governance. There are requirements that the government control the urban size and population scientifically and implement the environmental access system strictly in order to improve the level of green urbanization in the Yellow River Basin. It is more possible to achieve harmonious economic and ecological environment development.

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Section: Dynamic Panel Data Analysismentioning

confidence: 99%

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

et al. 2020

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“…It was the most important factor to increase CO 2 emission, which is consistent with other studies in Section 2. This might be related to that the economic growth is generally accompanied by the rapid process of industrialization and accelerated consumption of energy (Wu et al, 2019). In addition, the resident income has increased with the economic prosperity.…”

Section: Resultsmentioning

confidence: 99%

A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China

Mai

Ran

2020

Natural Resource Modeling

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Taking advantage of the electrification strategy, Northwest China has made full use of its natural resources endowment, to develop renewable energy as the substitution of thermal power. To evaluate carbon dioxide (CO2) emissions from electric power sector, an extended Kaya identity equation and the Logarithmic mean Divisia index decomposition method are applied to Northwest China from 1998 to 2017. Six explaining factors are analyzed, including carbon intensity, energy mixes, generating efficiency, electrification, economy and population. The results show that driving forces of CO2 emissions from electricity system varied greatly among provinces. Generally, economic growth has mainly contributed to increase CO2 emission, while the improvement in the power‐generating efficiency has crucially decreased CO2 emission. In 2017, Promoting electrification directly increased CO2 emissions from electric system, but indirectly reduced CO2 emissions from the whole region by 5.10% through the estimation of a clean development mechanism method. Therefore, local governments are suggested continuing to promote electrification to guide future emission reduction, while enterprises and individuals need to make their own contributions to low‐carbon development. Recommendations for Resource Managers: Variations of carbon dioxide (CO2) emissions of all five provinces in Northwest China are analyzed. Logarithmic mean Divisia index analysis is used to study the main drivers of CO2 emission change. Improvements in the generating efficiency significantly reduced CO2 emissions. Due to electrification effects, CO2 emissions from electric power increased, but CO2 emissions from the region decreased. Economy effects were still the biggest drivers affecting CO2 emission.

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“…In addition, we have several control variables, such as population, GDP per capita, and R&D investment intensity, as proxies for population (pop), wealth (pgdp) and technology (rd), respectively (Hao et al, 2020;Wu et al, 2019). The GDP series has been converted to the constant 2006 price.…”

Section: B Data B Datamentioning

confidence: 99%

“…This theory predicts that internet development will have a positive effect on energy intensity. The hypothesis test we propose is important because China needs to find new ways to solve the dilemma of energy constraints in the era of digital economy (Wu et al, 2019).…”

Section: Introduction I Introductionmentioning

confidence: 99%

The Role of Internet Development on Energy Intensity in China: Evidence From a Spatial Econometric Analysis

Hao

2020

Asian Economics Letters

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With the emergence of information communication technology, the role of internet development has become crucial for energy intensity. This study uses the spatial Durbin model to test the impact of internet development on China's energy intensity. The results show that internet development reduces energy intensity. Internet development though carries spatial spillover effects, promoting energy intensity in adjacent areas.

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How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models

Cited by 254 publications

References 84 publications

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China

The Role of Internet Development on Energy Intensity in China: Evidence From a Spatial Econometric Analysis

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