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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.
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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.

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Industrial Structure, R&D Staff, and Green Total Factor Productivity of China: Evidence from the Low-Carbon Pilot Cities

TL;DR: Wang et al. as discussed by the authors investigated the relation between low-carbon pilot policy and green total factor productivity and discussed the mediating effect of industrial structure and the number of R&D staff (RDS).
Journal ArticleDOI

How to Balance the Trade-off between Economic Development and Climate Change?

Xuejiao Ma, +1 more
- 18 Mar 2019 - 
TL;DR: In this article, the interaction of the scale, structure and technology effects of economic development and their impact on carbon emissions based on a classic model and the general equilibrium theory is examined by considering the quadratic term.
Journal ArticleDOI

The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights

TL;DR: In this paper, the authors explored the direct and spatial spillover moderating effects of R&D investment by adopting the panel spatial Durbin model and data of 30 provinces in China during 1998-2015.
Journal ArticleDOI

Evaluating the nexus between ongoing and increasing urbanization and carbon emission: a study of ARDL-bound testing approach

TL;DR: The study recommends that government should prioritize the development of energy efficient and environment friendly strategies with respect to fast growing urbanization to control the carbon emission.
Journal ArticleDOI

Investigating the role of the tech industry, renewable energy, and urbanization in sustainable environment: Policy directions in the context of developing economies

TL;DR: Wang et al. as mentioned in this paper investigated the environmental sustainability by examining the impact of the tech industry, renewable energy, and urbanization environmental degradation in a developing country such as China, and found that there is a significant inverse connection between the IT industry, renewables consumption, urbanization, and environmental degradation.
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

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

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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