Search

Begin New Search
Proceed to Checkout

Search Results for All:
(Showing results 1 to 3 of 3)



Green Growth, Carbon Intensity Regulation, and Green Total Factor Productivity in China

Xiaobo Shen and Boqiang Lin

Year: 2022
Volume: Volume 43
Number: Number 6
DOI: 10.5547/01956574.43.6.xshe
View Abstract

Abstract:
Based on input-oriented Malmquist productivity index and parametric decomposition approach, this paper measures China's green total factor productivity (TFP) index and its growth sources using a panel dataset of 30 provinces of China mainland from 1997 to 2014, and assesses the effect of CO2 intensity regulation on the green TFP growth in China. The results show that the green TFP has been growing at a yearly averaged rate of –1.51% during this period. The results also indicate that the policy of CO2 intensity regulation does not generate significant effect on the green total factor productivity of China's provinces when using the two stage least squares (2SLS) estimator to control for the potential endogeneity biases. On the other hand, there exists significant heterogeneity in the effect of the CO2 intensity regulation on the green TFP of China's provinces. Specifically, the CO2 intensity regulation promotes the green development performance of provinces in the eastern area, while it does not generate obvious impacts on the green TFP of provinces in both central and western areas.



Impact of the Feed-in Tariff Policy on Renewable Innovation: Evidence from Wind Power Industry and Photovoltaic Power Industry in China

Boqiang Lin and Yufang Chen

Year: 2023
Volume: Volume 44
Number: Number 2
DOI: 10.5547/01956574.44.2.blin
View Abstract

Abstract:
Technological innovation is the key to develop wind power and photovoltaic power industries. The feed-in tariff (FIT) policy, as a demand-pull policy, is important to support renewable energy technological innovation. Using the "difference-in-differences" method, this paper investigates the impact of FIT policy of wind power and the impact of the FIT policy designed according to differences in the distribution of resources on wind power technological innovation. The findings show that the FIT policy can drive patenting in wind power technologies during the implementation period, but may play a relatively weak promoting role in technological innovation in the latter term, and the FIT policy designed according to differences in the distribution of resources also stimulates more patent counts. Finally, based on the fixed effect negative binomial regression model, this paper finds that the higher feed-in tariffs can increase the patent counts in photovoltaic power technologies.



Investigating the Determinants of the Growth of the New Energy Industry: Using Quantile Regression Approach

Bin Xu and Boqiang Lin

Year: 2023
Volume: Volume 44
Number: Number 2
DOI: 10.5547/01956574.44.2.bixu
View Abstract

Abstract:
Expanding the supplies of new energy can not only reduce CO2 emissions, but also alleviate energy shortage. This paper applies the quantile regression to investigate the new energy industry in China. The results show that economic growth exerts the greatest effect on the new energy industry in the lower 10th quantile province. This is because these provinces have the developed economies, demand for a higher ecological environment and new energy resources. Foreign energy dependence has a minimal impact on the new energy industry in the 25th–50th quantile province, due to their minimal oil importation. The contribution of technological progress to the upper 90th quantile province is the lowest, because their R&D capabilities are the weakest. The impact of energy consumption structure decreases in steps from the lower 10th quantile provinces to the upper 90th quantile provinces. The agricultural sector promotes the new energy industry in most provinces.





Begin New Search
Proceed to Checkout

 

© 2024 International Association for Energy Economics | Privacy Policy | Return Policy