Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China

Promoting tourism in China using sustainable practices has become a very important issue. In order to analyze temporal characteristics and spatial regularities of green total factor productivity (GTFP), carbon emissions and the consumption of energy related to tourism in China were estimated using a...

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Main Authors: Xingming Li, Pengfei Shi, Yazhi Han, Aimin Deng, Duan Liu
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/4/1159
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spelling doaj-631afad227cc4eb7a09ad2070761048f2020-11-25T02:20:44ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012020-02-01174115910.3390/ijerph17041159ijerph17041159Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in ChinaXingming Li0Pengfei Shi1Yazhi Han2Aimin Deng3Duan Liu4Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, ChinaSchool of Economics and Management, Southwest University, Chongqing 400715, ChinaKey Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, ChinaSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, ChinaSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, ChinaPromoting tourism in China using sustainable practices has become a very important issue. In order to analyze temporal characteristics and spatial regularities of green total factor productivity (GTFP), carbon emissions and the consumption of energy related to tourism in China were estimated using a "bottom-up" method. The construction of a measurement framework (including carbon emissions and energy consumption) of GTFP for the tourism industry was also undertaken. The data envelopment analysis (DEA) model and the Malmquist−Luenberger (ML) index were used to measure and calculate tourism GTFP in China between 2007 and 2018, as well as analyze spatio-temporal differences. Results indicate that: (1) carbon emissions and the consumption of energy are increasing, and they have not yet peaked, with traffic associated with tourism accounting for the largest proportion among tourism sectors; the spatial distribution of carbon emissions and the consumption of energy is not balanced; (2) green development of tourism in China has achieved a good level of performance during the study period, driven by technical efficiency. Since 2014, pure technical efficiency (PE) has been >1, indicating that the tourism industry in China has entered a stage of change and promotion; (3) significant spatial differences exist in tourism GTFP in China. For example, the overall pattern of being strongest in the east and weakest in the west has not changed. Currently, eastern, central, and western regions in China rely on different dynamic mechanisms to promote tourism green development. In addition, some provinces have become the core or secondary growth poles of tourism green development in China.https://www.mdpi.com/1660-4601/17/4/1159tourism industrygreen total factor productivitymeasurementspatial variationchina
collection DOAJ
language English
format Article
sources DOAJ
author Xingming Li
Pengfei Shi
Yazhi Han
Aimin Deng
Duan Liu
spellingShingle Xingming Li
Pengfei Shi
Yazhi Han
Aimin Deng
Duan Liu
Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China
International Journal of Environmental Research and Public Health
tourism industry
green total factor productivity
measurement
spatial variation
china
author_facet Xingming Li
Pengfei Shi
Yazhi Han
Aimin Deng
Duan Liu
author_sort Xingming Li
title Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China
title_short Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China
title_full Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China
title_fullStr Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China
title_full_unstemmed Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China
title_sort measurement and spatial variation of green total factor productivity of the tourism industry in china
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2020-02-01
description Promoting tourism in China using sustainable practices has become a very important issue. In order to analyze temporal characteristics and spatial regularities of green total factor productivity (GTFP), carbon emissions and the consumption of energy related to tourism in China were estimated using a "bottom-up" method. The construction of a measurement framework (including carbon emissions and energy consumption) of GTFP for the tourism industry was also undertaken. The data envelopment analysis (DEA) model and the Malmquist−Luenberger (ML) index were used to measure and calculate tourism GTFP in China between 2007 and 2018, as well as analyze spatio-temporal differences. Results indicate that: (1) carbon emissions and the consumption of energy are increasing, and they have not yet peaked, with traffic associated with tourism accounting for the largest proportion among tourism sectors; the spatial distribution of carbon emissions and the consumption of energy is not balanced; (2) green development of tourism in China has achieved a good level of performance during the study period, driven by technical efficiency. Since 2014, pure technical efficiency (PE) has been >1, indicating that the tourism industry in China has entered a stage of change and promotion; (3) significant spatial differences exist in tourism GTFP in China. For example, the overall pattern of being strongest in the east and weakest in the west has not changed. Currently, eastern, central, and western regions in China rely on different dynamic mechanisms to promote tourism green development. In addition, some provinces have become the core or secondary growth poles of tourism green development in China.
topic tourism industry
green total factor productivity
measurement
spatial variation
china
url https://www.mdpi.com/1660-4601/17/4/1159
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