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THRESHOLD EFFECTS (2) answer(s).
 
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ID:   171418


Is more use of electricity leading to less carbon emission growth? an analysis with a panel threshold model / Lin, Boqiang; Zheng Li   Journal Article
Lin, Boqiang Journal Article
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Summary/Abstract Electricity plays a key role in modern energy service and climate mitigation. Electricity is becoming more accessible and it is substituted for fossil fuel in more scenarios. Generating electricity from clean energy instead of traditional coal and improving the efficiency of electricity generation, transmission, distribution, and utilization are making it possible for a carbon emission growth reduction. Here we explored the question of whether more use of electricity will lead to less carbon emission growth. Firstly, based on the panel data of 114 countries from 2000 to 2014, we applied a STIRPAT model and then analyzed the relationship between carbon emission and electricity use level with fixed effects panel model and adopted a panel threshold regression model considering electricity-generating source heterogeneity. The results show that electricity use level has a significant negative effect on carbon emission especially when clean energy-based electricity takes a bigger portion. Population, economic growth, urbanization, and industrialization have significant positive impacts on carbon emission. We came up with policy implications based on the results in the end.
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2
ID:   090107


Productivity spillovers from FDI in China: regional differences and threshold effects / Qi, Jianhong; Zheng, Yingmei; Laurenceson, James; Li, Hong   Journal Article
Laurenceson, James Journal Article
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Publication 2009.
Summary/Abstract Economic theory posits numerous channels through which FDI might create positive spillovers for domestic firms. However, the results of empirical studies that have sought to document these spillovers have been mixed. One explanation for this variation is that the capacity of domestic firms to absorb spillovers might vary. In the present paper, we explore these issues in the case of China. Aside from being one of the world's leading hosts of foreign direct investment, China makes for an interesting case study because its provinces vary greatly with respect to those factors most commonly held to influence absorptive capacity, such as the initial level of technology in domestic firms. This paper begins by empirically establishing that the spillovers from foreign direct investment do indeed vary across provinces. Threshold values for various factors that influence absorptive capacity factors are then estimated and it is found that conditions in many provinces presently fall short of these values. This provides an obvious focus of attention for China's policy-makers.
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