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| 1 |
ID:
181465
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| Summary/Abstract |
To realize the “Green” economic development, China has to transform the extensive mode of growth with the power factor inputs being the main driving force gradually into an intensive one. It's important to quantitatively analyze the relationship between the power factor input and economic growth and understand the core factors that affect the coordinated development between them. We introduce the concept of “power dependence,” based on the counter-factual method, use “growth drag” to reflect the dependence of China's economic growth on the power factor input. Based on the measurement of national power dependence, the auto-regressive distributed lag (ARDL) model is used to develop an empirical analysis of its influencing factors, and the robustness of the findings is tested by using the inter-provincial panel data. The findings show that China's economic growth has depended on the power factor input to some extent. According to the results, we propose suggestions from the aspects of promoting economic development, improving the pricing mechanism, adjusting the power generation structure, reasonably regulating the introduction of the foreign direct investment and research and development investment, and optimizing industrial structure to find an effective means to reduce the dependence of China's economic growth on the power factor input.
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| 2 |
ID:
191204
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| Summary/Abstract |
Based on the IGT equation, we calculate the decoupling index Dr of China's economic growth and energy CO2 emissions from 1978 to 2020, and analyze the evolution trend of the decoupling development between the two. Then, based on the ARDL model, the factors influencing the decoupling relationship are empirically tested and analyzed. The findings are threefold. (1) In the long term, the decoupling is effectively promoted by the relative energy price index, the increase in the clean energy proportion and the strengthening of government intervention. And the decreases in research and development investment, foreign trade, and the ratio of tertiary to secondary industry elicit the same direction on the decoupling relationship. (2) In the short term, the decline in the current increment of government intervention is the strongest contributor to the decoupling relationship, followed by the rise in the current increment of the ratio of the tertiary to the secondary industry. (3) The combined results of historical decomposition, impulse response, and variance decomposition indicate that clean energy share shocks, research and development intensity shocks, and relative energy price index shocks are the main sources of Dr fluctuations. The results of the study can provide a reference for achieving carbon reduction in China.
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