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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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Can environmental innovation facilitate carbon emissions reduction? Evidence from China

TL;DR: Wang et al. as mentioned in this paper used a system generalized method of moments (SGMM) technique to estimate the effect of environmental innovation on carbon emissions in China and evaluated the effect on carbon emission reduction of China's initial carbon emissions trading (CET) scheme.
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Impacts of urbanization and industrialization on energy consumption/CO2 emissions: Does the level of development matter?

TL;DR: In this article, the authors adopted the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework as a starting point and re-estimated the relationship using different panel date models.
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Urbanization and industrialization impact of CO2 emissions in China

TL;DR: In this article, the authors investigated the causal linkage among CO2 emissions per capita, energy intensity, real GDP, industrialization, urbanization, and renewable energy consumption in China over the period from 1970 to 2015.
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How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models

TL;DR: In this paper, the authors examined the impacts of industrialization and urbanization on CO 2 emissions in China using nonparametric additive regression models and provincial panel data from 1990 to 2011.
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Posted Content

Dynamic panel data models: a guide to microdata methods and practice

TL;DR: In this article, the focus is on panels where a large number of individuals or firms are observed for a small number of time periods, typical of applications with microeconomic data, and the emphasis is on single equation models with autoregressive dynamics and explanatory variables.
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Natural resources, education, and economic development

TL;DR: The authors found that economic growth has varied inversely with the share of natural capital in national wealth across countries, and that natural capital appears to crowd out human capital, thereby slowing down the pace of economic development.
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A Finite Sample Correction for the Variance of Linear Two-Step GMM Estimators

TL;DR: This paper showed that the extra variation due to the presence of these estimated parameters in the weight matrix accounts for much of the difference between the finite sample and the asymptotic variance of the two-step generalised method of moments estimator that utilises moment conditions that are linear in the parameters.
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Demystifying the Environmental Kuznets Curve : Turning a Black Box into a Policy Tool

TL;DR: In this paper, a modest attempt is made to incorporate explicit policy considerations into the income-environment relationship and explore its determinants as a step towards a better understanding of this relationship and its potential as a policy tool.
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Moving to Greener Pastures? Multinationals and the Pollution Haven Hypothesis

TL;DR: This paper examined the pattern of foreign investment in four developing countries (Cote d'Ivoire, Mexico, Morocco, and Venezuela) and found that foreign plants in these four countries are significantly more energy-efficient and use cleaner types of energy than their domestic counterparts.
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