Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount Qingcheng
The need to improve the accuracy of carbon emission measurements is a major issue which the tourism industry must resolve in order to reduce adverse impacts on climate change and the environment. This study established a detailed consumption list based on household survey data and calculated the car...
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doaj-17c321101f794e63858c2572904d00982020-11-24T21:44:57ZengMDPI AGSustainability2071-10502017-09-01910168010.3390/su9101680su9101680Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount QingchengJun Liu0Chu Lin1Li Huang2Jianghuan Zhu3Lijun Wu4Yunyun Li5Tourism School, Sichuan University, 24 South Section 1 Ring Road No. 1, Chengdu 610065, Sichuan, ChinaTourism School, Sichuan University, 24 South Section 1 Ring Road No. 1, Chengdu 610065, Sichuan, ChinaTourism School, Sichuan University, 24 South Section 1 Ring Road No. 1, Chengdu 610065, Sichuan, ChinaTourism School, Sichuan University, 24 South Section 1 Ring Road No. 1, Chengdu 610065, Sichuan, ChinaTourism School, Sichuan University, 24 South Section 1 Ring Road No. 1, Chengdu 610065, Sichuan, ChinaTourism School, Sichuan University, 24 South Section 1 Ring Road No. 1, Chengdu 610065, Sichuan, ChinaThe need to improve the accuracy of carbon emission measurements is a major issue which the tourism industry must resolve in order to reduce adverse impacts on climate change and the environment. This study established a detailed consumption list based on household survey data and calculated the carbon emissions of accommodation and services of the rural tourism industry of Mount Qingcheng using the input–output and lifecycle methods. Further, it analysed the key factors affecting carbon emissions. The results indicate that within the surveyed area, carbon emissions from accommodation and services amounted to 30.27 kg CO2/per person per day; these emissions were primarily from indirect sources, which accounted for 74.99% of the total emissions. Emissions from construction and production of durable goods accounted for 13.08% and 21.58% of the total emissions. The omission of these sources of carbon emissions was the primary reason for the carbon emission levels of the tourism industry being underestimated previously. For each additional 10,000 yuan in revenue, accommodation and related services of the rural tourism industry emit an additional 1412.08 kg of CO2. This is higher than the level of carbon emissions of the agriculture industry, but lower than those of the processing and manufacturing industries. Tourist consumption behaviours and types of tourism operations are important factors affecting carbon emissions. Effective emission reduction strategies include guiding tourist consumption behavioural changes, optimizing tourism operation portfolios, and extending the service life of constructions and durable goods.https://www.mdpi.com/2071-1050/9/10/1680tourism industryindirect carbon emissionsconstructiondurable goods |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jun Liu Chu Lin Li Huang Jianghuan Zhu Lijun Wu Yunyun Li |
spellingShingle |
Jun Liu Chu Lin Li Huang Jianghuan Zhu Lijun Wu Yunyun Li Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount Qingcheng Sustainability tourism industry indirect carbon emissions construction durable goods |
author_facet |
Jun Liu Chu Lin Li Huang Jianghuan Zhu Lijun Wu Yunyun Li |
author_sort |
Jun Liu |
title |
Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount Qingcheng |
title_short |
Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount Qingcheng |
title_full |
Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount Qingcheng |
title_fullStr |
Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount Qingcheng |
title_full_unstemmed |
Use of Household Survey Data as a Tool to Assess the Carbon Footprint of Rural Tourist Accommodation and Related Services in China: A Case Study of Mount Qingcheng |
title_sort |
use of household survey data as a tool to assess the carbon footprint of rural tourist accommodation and related services in china: a case study of mount qingcheng |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2017-09-01 |
description |
The need to improve the accuracy of carbon emission measurements is a major issue which the tourism industry must resolve in order to reduce adverse impacts on climate change and the environment. This study established a detailed consumption list based on household survey data and calculated the carbon emissions of accommodation and services of the rural tourism industry of Mount Qingcheng using the input–output and lifecycle methods. Further, it analysed the key factors affecting carbon emissions. The results indicate that within the surveyed area, carbon emissions from accommodation and services amounted to 30.27 kg CO2/per person per day; these emissions were primarily from indirect sources, which accounted for 74.99% of the total emissions. Emissions from construction and production of durable goods accounted for 13.08% and 21.58% of the total emissions. The omission of these sources of carbon emissions was the primary reason for the carbon emission levels of the tourism industry being underestimated previously. For each additional 10,000 yuan in revenue, accommodation and related services of the rural tourism industry emit an additional 1412.08 kg of CO2. This is higher than the level of carbon emissions of the agriculture industry, but lower than those of the processing and manufacturing industries. Tourist consumption behaviours and types of tourism operations are important factors affecting carbon emissions. Effective emission reduction strategies include guiding tourist consumption behavioural changes, optimizing tourism operation portfolios, and extending the service life of constructions and durable goods. |
topic |
tourism industry indirect carbon emissions construction durable goods |
url |
https://www.mdpi.com/2071-1050/9/10/1680 |
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