Energy intensity convergence in Iranian provinces: evidence from energy carriers’ consumption intensity

Shabani, Zahra; Shahnazi, Rouhollah

doi:10.1007/s11356-021-12450-7

Cited by 9 publications

(2 citation statements)

References 71 publications

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“…Sun used the PVAR model to study the dynamic relationship between the income gap between the eastern and western regions of Germany and the regional labor market and labor transfer [11]. Shabani used the PVAR model to study the labor income problem of US residents [12]. Umarov applyies the PVAR model to the problem of bank risk in EU countries [13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Dynamic Relationship between Energy Consumption and Economic Growth Based on PVAR Model

Han

2022

International Transactions on Electrical Energy Systems

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In order to analyze the relationship between energy consumption and economic growth dynamics, the author proposes a dynamic analysis technology of energy consumption and economic growth based on the PVAR model. This technology uses the PVAR method to compare and quantitatively describe the relationship between economic growth and energy consumption in developed and developing countries from 1990 to 2009, using impulse response functions and variance decomposition analysis methods; study the similarities and differences between total energy consumption and various fossil energy consumption and the dynamic impact of economic development, and finally establish a PVAR model for analysis. Experimental results show that: in the forecast of variance analysis, the impact explanatory power of the total energy consumption of developing countries on the fluctuation of economic growth reaches 8.85070. However, the contribution of total energy consumption in developed countries to economic growth is insufficient. The explanatory power of economic growth in developed countries to total energy consumption is 15.58070, while that in developing country is 29.28070, both of which are greater than the explanatory power of their respective total energy consumption on economic growth. Conclusion. The technology based on the PVAR model can effectively meet the needs of analyzing the dynamic relationship between energy consumption and economic growth.

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Section: Introductionmentioning

confidence: 99%

Analysis of Dynamic Relationship between Energy Consumption and Economic Growth Based on PVAR Model

Han

2022

International Transactions on Electrical Energy Systems

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“…The convergence of carbon productivity has important practical significance for the government to formulate relevant environmental policies, develop a low-carbon economy, and promote regional low-carbon cooperation. Given convergence, the existing literature includes studies about energy intensity convergence [11], carbon emission convergence [12], and total factor productivity convergence [13]. However, they are all based on the traditional Solow model, lacking theoretical support in the field of spatial convergence, and the empirical results cannot be reasonably explained.…”

Section: Introductionmentioning

confidence: 99%

Spatial Convergence of Carbon Productivity: Theoretical Analysis and Chinese Experience

Meng

Zhang

et al. 2022

IJERPH

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Based on the neoclassical framework, we propose the convergence hypothesis of carbon productivity under sustainable growth and prove the different effects of knowledge spillover and technology diffusion on convergence. The convergence hypothesis is tested using China’s provincial spatial dynamic panel data from 1995 to 2019. The results show that China’s provincial carbon productivity has conditional convergence and club convergence characteristics. The convergence speed of dynamic panel regression estimation is greater than that of cross-sectional regression. The convergence rate of dynamic spatial panel regression estimation is faster depending on the spatial spillover difference between the two technologies. In the early stage, the provincial spatial dependence of China’s carbon productivity is mainly knowledge spillover, and the convergence rate is lower than that of the closed economy. Over the past decade, the spatial spillover, dominated by low-carbon technology diffusion, has become the dominant force. The convergence rate is significantly faster than that of a non-spatial-dependent economy. In addition, the mechanism test found that the development of energy efficiency dominates the spatial transfer of technology, so the overall convergence of carbon productivity in China mainly comes from the apparent convergence of energy efficiency in provinces and cities. Our conclusion provides a new reference for the emission reduction actions of countries worldwide because the spatial knowledge spillover carried by capital flows is not conducive to the pursuit of carbon productivity in less developed regions. On the contrary, the dissemination and diffusion of low-carbon technologies can significantly reduce carbon equivalent input in the production process, accelerating the pursuit of developing countries or regions.

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The reduce of energy consumption intensity: Does the development of science and technology finance matter? Evidence from China

et al. 2022

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Energy intensity convergence in Iranian provinces: evidence from energy carriers’ consumption intensity

Cited by 9 publications

References 71 publications

Analysis of Dynamic Relationship between Energy Consumption and Economic Growth Based on PVAR Model

Analysis of Dynamic Relationship between Energy Consumption and Economic Growth Based on PVAR Model

Spatial Convergence of Carbon Productivity: Theoretical Analysis and Chinese Experience

The reduce of energy consumption intensity: Does the development of science and technology finance matter? Evidence from China

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