Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity

2021 ◽  
Vol 135 ◽  
pp. 110157 ◽  
Author(s):  
Yuanyuan Cheng ◽  
Xin Yao
ETIKONOMI ◽  
2016 ◽  
Vol 15 (2) ◽  
pp. 125-138
Author(s):  
Indriyani Indriyani

ASEAN-China Free Trade Area (ACFTA) is an agreement between the members of ASEAN and China to create a free trade area by removing tariff and non-tariff barriers. This agreement begins with the signing of the agreement on November 5, 2002 in Phnom Penh. Implementation is done in phases beginning January 1, 2004. The purpose of this study determines the effect of the implementation of ACFTA on Indonesia's exports to the ASEAN countries and China. This study complements previous research regarding the ACFTA. The data used in this study are the data of Indonesian exports to ASEAN countries and China for 15 years from 2000 until 2014. The tests were conducted with a fixed effect panel data model with cross section SUR. The results of this study indicate that the ACFTA increase Indonesian exports to the ASEAN countries and China.DOI: 10.15408/etk.v15i2.3331


2020 ◽  
pp. 0958305X2092893
Author(s):  
Bai Liu ◽  
Yutian Liu ◽  
Ailian Zhang

With the depletion of fossil energy and the rise of global temperature, it is urgent to use renewable energy to solve environmental problems. By studying the heterogeneous relationship between CO2 emissions and renewable energy technology innovation in different countries, we can find out the gap and something helpful to energy development. In the empirical test, we use the negative binomial regression model with fixed effects to study the impact of CO2 emissions on renewable energy technology innovation from 1997 to 2016. The research shows that impact is positive in oil-importing countries, but this relationship is not established in oil-exporting countries. In both oil importers and oil exporters, CO2 emissions have a positive effect on the solar energy technological innovation, however, the influence on the technology innovation of solar energy in oil exporters is more significant than that of renewable energy. Whether for oil importers or oil exporters, it can be more reasonable and effective to develop renewable energy by clarifying the impact of CO2 emissions on domestic renewable energy technology innovation.


Author(s):  
Yanmin Shao

Purpose This paper aims to clarify the relationship between foreign direct investment (FDI) and carbon intensity. This study uses the dynamic panel data model to study and provide fresh evidence for the issue. Design/methodology/approach This study first uses the dynamic panel data model to consider the endogeneity problem, and applies a system-generalized method of moments estimator to study the effect of FDI on carbon intensity using the panel data of 188 countries during 1990-2013. Findings The result shows that FDI has a significant negative impact on carbon intensity of the host country. After considering the other factors, including share of fossil fuels, industrial intensity, urbanization level and trade openness, the impact of FDI on carbon intensity is still significantly positive. In addition, FDI also has a significant negative impact on carbon intensity of high-income countries and middle- and low-income countries. Originality/value This paper offers two contributions to the literature on the effect of FDI on carbon intensity. From a methodological perspective, this paper is the first to apply a dynamic panel data model to study the effect of FDI on carbon intensity using worldwide panel data. Second, this paper is the first to analyze the effect of FDI on carbon intensity in different countries with different income levels separately.


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