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In the CGE based policy modeling literature, especially recent literature on policy modeling for global climate change, nested CES production functions over multiple inputs have been widely used. Although lack of reliable estimates of substitution elasticities for nested structures has been acknowledged for a long time, the problem has not yet been solved satisfactorily. This is especially the situation for the Chinese case for which modeling work has global implications. This paper reports estimates of substitution elasticities for normalized nested CES aggregate production functions for China with different nested structures of input factors: capital, labor with or without human capital adjustment, and energy using data for the period 1979-2006. We adopt grid search based non-linear optimization techniques for estimation. The results show that all the substitution elasticities we estimate are positive. For the widely used (K,L)E structure, we find that the substitution elasticity between capital and labor for China is below unity. When human capital adjusted labor is used as input instead of unadjusted raw labor, estimates of substitution elasticity between capital and labor become lower. By considering the significance of estimates, our results suggest that the (E,L)K structure seems more appropriate for the Chinese economy.
China and India, the two largest developing countries, are developing rapidly both inside themselves and towards global markets. Are these two economies dual or dueling? This 3-volume set tries to answer this question by providing comprehensive analyses scoping varied economic issues.This volume set covers both China's and India's strategies and objectives in international governance, their bilateral and multilateral trade agreement negotiations, financial liberalization, growth prospects, rural development and agriculture, income distribution, labor market mechanism, manufacturing and competitiveness upgrading, as well as environmental and other social issues.The set collects papers (most unpublished until now) written by Chinese and Indian researchers who have rich experiences and strong backgrounds in policy analyses and are well connected to Chinese and Indian policy makers. Thus, these papers contain valuable first-hand information about China's and India's development strategies. This makes this volume set an essential source of reference for China-India comparisons and studies.
As improving energy efficiency and increasing energy R&D investment may be the main means for China's industrial sector to achieve sustainable growth, this book attempts to unify energy use efficiency and energy R&D inputs into a standardized economic analysis framework. By distinguishing between energy R&D inputs and non-energy R&D inputs, this book draws on the research paradigm of neoclassical economics to clarify the basic concepts and endogenous mechanisms of energy-saving technological progress as a logical starting point. Under the framework of the existing endogenous growth theory analysis, the heterogeneous R&D inputs are divided into two different mechanisms that affect energy use efficiency, namely factor substitution effect and energy-efficient input increase effect, and a heterogeneous R&D input is constructed. This book constructed an analytical framework for endogenous energy-saving technological progress in the industrial sector based on heterogeneous R&D inputs; it established a mathematical model for the endogenous energy-saving technological advancement of the industrial sector based on heterogeneous R&D inputs; it estimated the energy-saving technological progress rate of 37 Chinese industrial sub-sectors from 1980 to 2010; fourth, it has empirically examined the relationship between the heterogeneous R&D investment in China's industrial sector and its energy-saving technological advancement rate.
Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications.
Economies around the world have arrived at a critical juncture: to continue to grow fuelled by fossil fuels and exacerbate climate change, or to move towards more sustainable, greener, growth. Choosing the latter is shown to help address climate change, as well as present new economic opportunities. This Handbook provides a deeper understanding of the concept of green growth, and highlights key lessons from the experience of green transformations across the world following a decade of ambitious stimulus packages and green reforms.
We show that a dynamic general equilibrium model with efficiency wages and endogenous capital accumulation in both the formal and (non-agricultural) informal sectors can explain the full range of confounding stylized facts associated with minimum wage laws in less developed countries.
This book discusses several important issues in the practice of China's green development. It analyzes the carbon mitigation, water conservation and environmental pollution from the perspectives of economic development, technological change, production and demand. The book uses various quantitative methods to reveal the pathways of China's green development. The methods include Log Mean Divisia Index, input-output analysis, structural decomposition analysis, data envelope analysis, econometric methods and computable general equilibrium model. The findings, discussions and policy implications of this book contribute to the theory and policy studies in China's green development.