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GMM ESTIMATION (2) answer(s).
 
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ID:   130542


International trade, FDI (foreign direct investment) and embodi: a case study of Chinas industrial sectors / Ren, Shenggang; Yuan, Baolong; Ma, Xie; Chen, Xiaohong   Journal Article
Chen, Xiaohong Journal Article
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Publication 2014.
Summary/Abstract This paper calculates CO2 emissions embodied in China's international trade using an input-output analysis, for the period 2000-2010. Based on industrial panel data, the two-step GMM estimation is used to test the impacts of FDI, trade openness, exports, imports and per capita income on CO2 emissions. The results suggest that: (1) China's growing trade surplus is one of the important reasons for the rapidly rising CO2 emissions; (2) large FDI inflows further aggravate China's CO2 emissions; and (3) the industrial sector's per capita income and CO2 emission relationship show inverted-U environmental Kuznets curve. Therefore, in order to achieve environmentally sustainable development of the economy, China should make efforts to transform its trade growth mode, adjust foreign investment structure, strengthen energy efficiency and develop a low-carbon economy.
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2
ID:   150030


Low cost of quality improvements in the electricity distribution sector of Brazil / Corton, Maria Luisa; Zimmermann, Aneliese ; Phillips, Michelle Andrea   Journal Article
Corton, Maria Luisa Journal Article
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Summary/Abstract We analyze the impact of introducing output-based incentives in the price-cap regulatory regime of the Brazilian electricity distribution sector. We focus on the trade-off between operating costs and quality improvement, hypothesizing a positive relationship. Operating costs include maintenance and repair expenses. The regulator sets limits for service continuity and non-technical energy losses in each regulatory period. Service continuity refers to the average length of interruptions in electricity distribution. Non-technical losses refer to losses due to factors specific to the distribution segment. Quality incentives include peer-pressure and penalties/rewards for compliance with minimum quality standards. We model operating costs using a GMM framework to acknowledge endogeneity of variables. The model is dynamic given the inclusion of regulatory lags to recognize past cost behavior. Findings reveal a small trade-off between costs and quality. We conclude that quality improvements are not costly relative to the potential savings from complying with quality standards. We also find that the impact on operating costs is larger when energy losses increase compared to the cost effect due to increases in duration of outages. These findings suggest areas of attention in managerial decision making, and serve as valuable information to the regulator in tailoring quality incentives for this sector.
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