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STOCHASTIC FRONTIER (4) answer(s).
 
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1
ID:   089971


Agricultural labour and the incidence of surplus labour: experience from China during reform / Kwan, Fung   Journal Article
Kwan, Fung Journal Article
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Publication 2009.
Summary/Abstract This paper contributes to the pool of studies of rural underemployment and revisits a number of estimates of surplus agricultural labour in China. The study is devoted to the conceptualization, identification and measurement of surplus at regional, provincial and national levels by a stochastic frontier functional specification. The analysis indicates that the existing size of agricultural surplus labour is still significantly large with the continued practice of the household registration system and China's WTO membership.
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2
ID:   132600


Exploring energy efficiency in China's iron and steel industry: a stochastic frontier approach / Lin, Boqiang; Wang, Xiaolei   Journal Article
Lin, Boqiang Journal Article
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Publication 2014.
Summary/Abstract The iron and steel industry is one of the major energy-consuming industries in China. Given the limited research on effective energy conservation in China×s industrial sectors, this paper analyzes the total factor energy efficiency and the corresponding energy conservation potential of China×s iron and steel industry using the excessive energy-input stochastic frontier model. The results show that there was an increasing trend in energy efficiency between 2005 and 2011 with an average energy efficiency of 0.699 and a cumulative energy conservation potential of 723.44 million tons of coal equivalent (Mtce). We further analyze the regional differences in energy efficiency and find that energy efficiency of Northeastern China is high while that of Central and Western China is low. Therefore, there is a concentration of energy conservation potential for the iron and steel industry in the Central and Western areas. In addition, we discover that inefficient factors are important for improving energy conservation. We find that the structural defect in the economic system is an important impediment to energy efficiency and economic restructuring is the key to improving energy efficiency.
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3
ID:   150637


Identifying electricity-saving potential in rural China: empirical evidence from a household survey / Yu, Yihua; Guo, Jin   Journal Article
Yu, Yihua Journal Article
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Summary/Abstract In recent years, there has been a fast-growing body of literature examining energy-saving potential in relation to electricity. However, empirical studies focusing on non-Western nations are limited. To fill this gap, this study intends to examine the electricity-saving potential of rural households in China using a unique data set from the China Residential Electricity Consumption Survey (CRECS) in collaboration with the China General Social Survey (CGSS), conducted nationwide at the household level in rural China. We use a stochastic frontier model, which allows us to decompose residential electricity consumption into the minimum necessary amount of consumption based on physical characteristics (e.g. house size, house age, number of televisions or refrigerators) and estimate the consumption slack (i.e. the amount of electricity consumption that could be saved), which depends on various factors. We find that rural households in China are generally efficient in electricity saving and the saving potential is affected by (fast) information feedback and social-demographic characteristics, instead of by the (averaged) electricity price, or energy efficiency labelling signals. In addition, we find no evidence of regional heterogeneity on electricity saving potential for rural households. Policy implications are derived.
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4
ID:   125725


Potential estimation and factor analysis of China's energy cons / Lin, Boqiang; Yang, Lisha   Journal Article
Lin, Boqiang Journal Article
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Publication 2013.
Summary/Abstract At present, researches about energy conservation are focused on prediction. But there are few researches focused on the estimation of effective input and energy conservation potential, and there has been even no research on energy conservation of thermal power industry of China. This paper will try to fill in such a blank. Panel data on Chinese thermal power industry over 2005-2010 are established, and we adopt the stochastic frontier analysis approach to estimate the energy saving potential of thermal power industry. The results are as follows: (1) the average efficiency of energy inputs in China's thermal power industry over 2005-2010 was about 0.85, and cumulative energy saving potential equals to 551.04 (Mtce); (2) by improving the non-efficiency factors, the relatively backward inland cities could achieve higher energy saving in thermal power industry; (3) the energy input efficiency of Eastern China Grid is shown to be the highest; (4) in order to realize the energy-saving goal of thermal power industry, one important policy method the government should adopt is to conduct a market-oriented reform in power industry and break the state-owned monopoly to provide incentives for private and foreign direct investment in thermal power sector.
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