Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index

Industry is a major contributor to carbon emissions in China, and industrial land is an important input to industrial production. Therefore, a detailed analysis of the carbon emission performance of industrial land use is necessary for making reasonable carbon reduction policies that promote the sus...

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Main Authors: Wei Wang, Hualin Xie, Tong Jiang, Daobei Zhang, Xue Xie
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/8/4/336
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spelling doaj-42b6a6f171304725a9c19d2b6dc4ff452020-11-24T22:29:41ZengMDPI AGSustainability2071-10502016-04-018433610.3390/su8040336su8040336Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity IndexWei Wang0Hualin Xie1Tong Jiang2Daobei Zhang3Xue Xie4Co-innovation center for institutional construction for Jiangxi eco-civilization, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaCo-innovation center for institutional construction for Jiangxi eco-civilization, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaSchool of Economics and Business Administration, Chongqing University, Chongqing 400044, ChinaCo-innovation center for institutional construction for Jiangxi eco-civilization, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaCo-innovation center for institutional construction for Jiangxi eco-civilization, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaIndustry is a major contributor to carbon emissions in China, and industrial land is an important input to industrial production. Therefore, a detailed analysis of the carbon emission performance of industrial land use is necessary for making reasonable carbon reduction policies that promote the sustainable use of industrial land. This paper aims to analyze the dynamic changes in the total-factor carbon emission performance of industrial land use (TCPIL) in China by applying a global directional distance function (DDF) and non-radial Luenberger productivity index. The empirical results show that the eastern region enjoys better TCPIL than the central and western regions, but the regional gaps in TCPIL are narrowing. The growth in NLCPILs (non-radial Luenberger carbon emission performance of industrial land use) in the eastern and central regions is mainly driven by technological progress, whereas efficiency improvements contribute more to the growth of NLCPIL in the western region. The provinces in the eastern region have the most innovative and environmentally-friendly production technologies. The results of the analysis of the influencing factors show implications for improving the NLCPIL, including more investment in industrial research and development (R&D), the implementation of carbon emission reduction policies, reduction in the use of fossil energy, especially coal, in the process of industrial production, actively learning about foreign advanced technology, properly solving the problem of surplus labor in industry and the expansion of industrial development.http://www.mdpi.com/2071-1050/8/4/336industrial landtotal-factor carbon emission performance of industrial land use (TCPIL)non-radial Luenberger productivity indexnon-radial Luenberger carbon emission performance of industrial land use (NLCPIL)directional distance function (DDF)China
collection DOAJ
language English
format Article
sources DOAJ
author Wei Wang
Hualin Xie
Tong Jiang
Daobei Zhang
Xue Xie
spellingShingle Wei Wang
Hualin Xie
Tong Jiang
Daobei Zhang
Xue Xie
Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index
Sustainability
industrial land
total-factor carbon emission performance of industrial land use (TCPIL)
non-radial Luenberger productivity index
non-radial Luenberger carbon emission performance of industrial land use (NLCPIL)
directional distance function (DDF)
China
author_facet Wei Wang
Hualin Xie
Tong Jiang
Daobei Zhang
Xue Xie
author_sort Wei Wang
title Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index
title_short Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index
title_full Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index
title_fullStr Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index
title_full_unstemmed Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index
title_sort measuring the total-factor carbon emission performance of industrial land use in china based on the global directional distance function and non-radial luenberger productivity index
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2016-04-01
description Industry is a major contributor to carbon emissions in China, and industrial land is an important input to industrial production. Therefore, a detailed analysis of the carbon emission performance of industrial land use is necessary for making reasonable carbon reduction policies that promote the sustainable use of industrial land. This paper aims to analyze the dynamic changes in the total-factor carbon emission performance of industrial land use (TCPIL) in China by applying a global directional distance function (DDF) and non-radial Luenberger productivity index. The empirical results show that the eastern region enjoys better TCPIL than the central and western regions, but the regional gaps in TCPIL are narrowing. The growth in NLCPILs (non-radial Luenberger carbon emission performance of industrial land use) in the eastern and central regions is mainly driven by technological progress, whereas efficiency improvements contribute more to the growth of NLCPIL in the western region. The provinces in the eastern region have the most innovative and environmentally-friendly production technologies. The results of the analysis of the influencing factors show implications for improving the NLCPIL, including more investment in industrial research and development (R&D), the implementation of carbon emission reduction policies, reduction in the use of fossil energy, especially coal, in the process of industrial production, actively learning about foreign advanced technology, properly solving the problem of surplus labor in industry and the expansion of industrial development.
topic industrial land
total-factor carbon emission performance of industrial land use (TCPIL)
non-radial Luenberger productivity index
non-radial Luenberger carbon emission performance of industrial land use (NLCPIL)
directional distance function (DDF)
China
url http://www.mdpi.com/2071-1050/8/4/336
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