Dynamic impacts of energy consumption on economic growth in China: Evidence from a non-parametric panel data model

Ren, Xiaohang; Tong, Ziwei; Sun, Xianming; Yan, Cheng

doi:10.1016/j.eneco.2022.105855

Cited by 57 publications

(13 citation statements)

References 51 publications

(73 reference statements)

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“…The corresponding energy production and consumption structure should also shift from traditional nonrenewable energy to renewable energy to promote the low-carbon transformation of the economic structure. On the one hand, low-carbon energy transformation can effectively alleviate energy poverty and is conducive to energy conservation and emission reduction (Dong et al, 2021); On the other hand, the role of energy consumption in promoting economic growth is closely related to the carbon emission reduction target (Ren et al, 2022c). Moreover, changes in energy prices will have a direct impact on carbon prices.…”

Section: Increasingly Optimized Energy Structure With Arduous Transfo...mentioning

confidence: 99%

Tax Policies of Low Carbon in China: Effectiveness Evaluation, System Design and Prospects

Feng¹,

et al. 2022

Front. Environ. Sci.

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Fiscal and taxation policy tools play an important role in promoting green and low-carbon development. Based on classical tax theory, including the Potter hypothesis and the environmental Kuznets curve, this paper explores the impact of environmental tax regulation on economic growth and carbon emission reduction. We find that resource tax reform could promote green total factor productivity; however, the ad valorem reform of resource tax does not significantly raise the level of low carbon development. This effect varies among different regions as well as different tax cuts and fee reductions. Fiscal revenue decentralization has a reverse adjustment effect on the impact of resource taxes on green total factor productivity. We conclude that it is necessary to deepen the reform of the fiscal and taxation system to achieve the carbon neutrality and emission peak goal.

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Section: Increasingly Optimized Energy Structure With Arduous Transfo...mentioning

confidence: 99%

Tax Policies of Low Carbon in China: Effectiveness Evaluation, System Design and Prospects

Feng¹,

et al. 2022

Front. Environ. Sci.

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“…For the aforementioned reasons, considering that there are significant differences between different regions, to further verify whether the impact of the business environment and advanced human capital structure on the quality of economic development is heterogeneous, this study introduces the quantile method for regression (Cheng C et al, 2021;Ren et al, 2022c). A panel data quantile regression model can analyze different marginal utilities of the business environment and human capital structural upgrading on economic development quality at varied quantile points (Koenker, 2004;Ren et al, 2022b). In reference to the common practice in previous research, we select the most representative seven quantile points (5, 10, 25, 75, 90, and 95%) for analysis.…”

Section: Quantile Regressionmentioning

confidence: 99%

Business environment, human capital structural upgrading, and economic development quality

Yao

2022

Front. Environ. Sci.

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To verify the importance of optimizing a business environment and improving the level of human capital structure to promote economic development, this study employs a panel data of 30 Chinese provinces from the period 2008–2019 and utilizes the spatial Durbin model and quantile regression model to analyze the relation between a business environment, human capital structure upgrading, and economic development quality. We find that the quality of economic development has a strong spatial correlation and the improvement in the business environment promotes human capital structural upgrading and economic development quality. Human capital structural upgrading plays a significant intermediary role, through which improvement in the business environment affects economic development quality. Considering the huge differences in the level of economic development in different regions of China, we also conduct a regional heterogeneity analysis. We find that the promotion effects of the business environment and advanced human capital structure on economic development quality are significant within the sample period, and their promotion effects are significantly heterogeneous and asymmetric across quartiles, indicating that there is heterogeneity in the intensity of dependence of economic development quality on advanced human capital structure and business environment at different stages of economic development. Moreover, by observing the impact trends in the eastern, central, and western regions, we find that the impact of the business environment and human capital structure on the quality of economic development varies somewhat across provinces. This suggests that the eastern and central regions need to strengthen the optimization of the business environment, while the eastern and western regions should pay more attention to the improvement of the level of the advanced human capital structure.

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“…NP-TVP technology uses a pooled local linear dummy variable estimator (LLDVE), which has the advantage that it does not need to specify a certain function followed by the regime conversion in advance and allows data to directly reveal the nonlinear relationship between variables by using its own information. LLDVE was first proposed by Li et al [85] and has been applied by Hailemariam et al [84], Awaworyi Churchill et al [86], and Ren et al [87] in empirical studies. e form of the NP-TVP is as follows:…”

Section: Econometric Modelmentioning

confidence: 99%

Dynamic Nonlinear Connectedness between the Financial Inclusion, Economic Growth, and China’s Poverty Alleviation: Evidence from a Panel VAR Analysis

et al. 2022

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Whether financial inclusion and economic growth can sustainably release poverty alleviation effects in long term has been the focus of academia and government sector. This article uses provincial panel data from 2004 to 2019 to examine the dynamic nonlinear connectedness between the financial inclusion, economic growth, income inequality, and poverty alleviation; the main objective is to reveal the direction and intensity of the long-term and short-term impact of each factor on poverty alleviation. By building a panel vector autoregression model (PVAR), the comparison analyses of national, eastern, central, and western sample groups verify the existence of dynamic nonlinear connectedness among the four variables. The study found that there is complex bidirectional causality between these variables, financial inclusion has the long-term impact on promoting poverty alleviation in China, the impact of economic growth is relatively weak, and income inequality has weakened the positive impact of financial inclusion on poverty alleviation. Through the analysis of impulse response function, variance decomposition, and time-varying nonparametric estimates in different economic regions, we find that the impact of financial inclusion on poverty alleviation presents a U-shaped characteristic, and the contribution of financial inclusion to poverty alleviation in western regions is significant, but poverty reduction in eastern and central region mainly depends on economic growth. For policymakers, financial inclusion can be an effective way to alleviate relative poverty, but the poverty governance should focus more on reducing income inequality in China.

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Dynamic impacts of energy consumption on economic growth in China: Evidence from a non-parametric panel data model

Cited by 57 publications

References 51 publications

Tax Policies of Low Carbon in China: Effectiveness Evaluation, System Design and Prospects

Tax Policies of Low Carbon in China: Effectiveness Evaluation, System Design and Prospects

Business environment, human capital structural upgrading, and economic development quality

Dynamic Nonlinear Connectedness between the Financial Inclusion, Economic Growth, and China’s Poverty Alleviation: Evidence from a Panel VAR Analysis

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