Journal ArticleDOI
Industrial structural transformation and carbon dioxide emissions in China
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This article analyzed the relationship between industrial structural transformation and carbon dioxide emissions in China and found that the first-order lag of industrial structural adjustment effectively reduced the emissions; technical progress itself did not reduce the emissions, but indirectly led to decreasing emissions through upgrading and optimization of industrial structure.About:
This article is published in Energy Policy.The article was published on 2013-06-01. It has received 326 citations till now. The article focuses on the topics: Cleaner production.read more
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Industrial structure, technological progress and CO 2 emissions in China: Analysis based on the STIRPAT framework
TL;DR: Wang et al. as mentioned in this paper analyzed the impact of multi-dimensional industrial structures and technological progress on carbon emissions in the STIRPAT framework, and showed that there were significant positive global spatial correlations and local spatial agglomerations among the regions that were assessed.
Journal ArticleDOI
From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China
TL;DR: Wang et al. as mentioned in this paper analyzed per capita industrial pollutant emissions across 285 prefecture-level cities from 2003 to 2015, aiming to reveal how industrial transfer affects the formation of convergence clubs.
Journal ArticleDOI
Factors behind CO2 emission reduction in Chinese heavy industries: Do environmental regulations matter?
TL;DR: Wang et al. as discussed by the authors investigated factors behind CO2 emissions mitigation in China's heavy industries based on the system generalized method of moments (SYS-GMM) model and found that industrial structure, fixed asset investment and historical emissions are drivers for sectoral CO2 emission increase, while energy efficiency is a key factor for carbon emissions reduction.
Journal ArticleDOI
A spatial panel analysis of carbon emissions, economic growth and high-technology industry in China
Li Li,Xuefei Hong,Ke Peng +2 more
TL;DR: Wang et al. as mentioned in this paper examined the influence of economic development and the industrial structure on carbon emissions by exploring the spatial agglomeration and spillover effects of high-tech industry, economic growth, FDI, population and carbon emissions based on spatial correlation.
Journal ArticleDOI
Is China's development conforms to the Environmental Kuznets Curve hypothesis and the pollution haven hypothesis?
Junxian Liu,Jingya Qu,Kai Zhao +2 more
TL;DR: Wang et al. as discussed by the authors investigated whether China's development aligns with the Environmental Kuznets Curve and Pollution Haven hypotheses, and used the fixed effects panel data partially linear additive model, which integrates economic growth and foreign direct investment into the same framework, to investigate their impact on carbon emissions.
References
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Journal ArticleDOI
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI
A Contribution to the Theory of Economic Growth
TL;DR: In this paper, a model of long run growth is proposed and examples of possible growth patterns are given. But the model does not consider the long run of the economy and does not take into account the characteristics of interest and wage rates.
Report SeriesDOI
Initial conditions and moment restrictions in dynamic panel data models
Richard Blundell,Stephen Bond +1 more
TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Journal ArticleDOI
Another look at the instrumental variable estimation of error-components models
Manuel Arellano,Olympia Bover +1 more
TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.
Journal ArticleDOI
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
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