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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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Economic growth, fiscal imbalance, and environmental sustainability: What is desirable and undesirable for developing economies?
TL;DR: In this paper, the authors used generalized least squares (GLS) and quantile autoregressive distributive lag (QARDL) on a 19-year dataset (2000-2018) of the South Asian region.
Journal ArticleDOI
Regional Input–Output Multiple Choice Goal Programming Model and Method for Industry Structure Optimization on Energy Conservation and GHG Emission Reduction in China
TL;DR: The results demonstrate that industrial restructuring has potential in energy saving and emission reducing and it is suggested that China had better strive to promote progress of technologies of energy conservation and GHG emission reduction while adjusting the industrial structure.
Journal ArticleDOI
The recent history and successes of China's energy efficiency policy
Mian Yang,Zheng Hu,Jiahai Yuan +2 more
TL;DR: In this article, the authors summarized China's major policy development pathway on energy efficiency since the 1978 open-door policy and provided major focuses of this paper from the perspectives of building energy efficiency capacity and reducing long-term energy intensity as well as accelerating China's economic transformation.
Journal ArticleDOI
Carbon Productivity and Mitigation: Evidence from Industrial Development and Urbanization in the Central and Western Regions of China
TL;DR: Wang et al. as mentioned in this paper investigated carbon productivity (CP) from the perspectives of industrial development and urbanization to mitigate carbon emissions, and they proposed a hybrid model that includes a spatial lag model (SLM) and a fixed regional panel model using data from the 17 provinces in the central and western regions of China from 2000 to 2018.
Journal ArticleDOI
Does China’s poverty alleviation policy improve the quality of the ecological environment in poverty-stricken areas?
TL;DR: Wang et al. as mentioned in this paper studied the impact of poverty alleviation policy on the environment quality of poverty-stricken counties in the Qinghai-Tibet Plateau region, and they found that the policy effect has a certain time lag and its effect persists in the long term.
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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