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Industrial structural transformation and carbon dioxide emissions in China
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TLDR
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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Coordination of industrial structure and eco-efficiency in ecologically fragile areas: A case study of the Loess Plateau, China.
TL;DR: In this paper , the authors investigated the relationship between industrial structure rationalization (ISR) and eco-efficiency (EE) in 39 prefecture-level cities of the Loess Plateau, discussing the comprehensive and coordinated development levels between ISR and EE, industrial structure advancement (ISA) and EE based on the coupling coordination degree model.
Journal ArticleDOI
Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China
TL;DR: Wang et al. as discussed by the authors employed econometric models to investigate the impact of government intervention and structural transformation on carbon emissions and made policy recommendations in order to provide empirical support for promoting China's high-quality economic development and achieving the double carbon goal.
Journal ArticleDOI
The effect of directed technical change on carbon dioxide emissions: evidence from China’s industrial sector at the provincial level
Liang Liu,Lianshui Li +1 more
TL;DR: Li et al. as discussed by the authors used the 2008 to 2015 provincial-level data on China's 22 industrial sub-sectors to investigate both the effect of directed technical change on CO2 emissions and its heterogeneity.
Journal ArticleDOI
The adjustment and optimized path of regional industrial structure in low-carbon economy society in China: A case study of Tianjin
Hao Zhenzhen,Li Jian +1 more
TL;DR: In this paper, the relationship between the industrial structure and carbon intensity, the regional differences between provinces in China based on recent economic data, including internal industry structure, carbon emissions, industrial carbon productivity in different industry in 2001-2010 in China.
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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