Embodied CO2 emissions and efficiency of the service sector: Evidence from China

Rui-zhi, Wang; Hao, Jin-Xing; Wang, Chunan; Tang, Xu; Yuan, Xingzhi

doi:10.1016/j.jclepro.2019.119116

Cited by 44 publications

(17 citation statements)

References 55 publications

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“…The eastern region had a significantly higher efficiency than the middle and western regions. In previous studies [19], the regions ranked as follows in terms of the CO 2 emission efficiency of the service industry: east > middle > west. Our results indicate that the hotel industry in the middle region has the lowest carbon emission efficiency.…”

Section: Variable Selectionmentioning

confidence: 95%

“…For example, Zha [18] found that the low-carbon development efficiency of tourism in China is highest in the middle region, followed by the eastern region and then the western region. Wang et al [19] found that the carbon emission efficiency of the service industry in China is highest in the eastern region, followed by the middle region and then the western region. Regarding dynamic efficiency calculations, recent research has used the Malmquist-Luenberger index to calculate the evolution of tourism total factor carbon productivity [20].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Using Zhang et al's [30] quantitative research on carbon emissions and the efficiency of the construction industry for reference, we took unexpected CO 2 emissions as an undesirable output variable to help effectively calculate and evaluate CO 2 emission efficiency. According to the characteristics of the hotel industry and previous research [19], the original value of fixed assets was taken as the capital variable of the hotel industry, the number of employees at the end of the year as the labor variable, and total energy consumption as the energy consumption variable. The prime operating revenue of the hotel industry was selected as the desirable output index [31].…”

Section: Variable Selectionmentioning

confidence: 99%

See 2 more Smart Citations

The CO2 Emission Efficiency of China’s Hotel Industry under the Double Carbon Objectives and Homestay Growth

Xue

Chen

2021

Energies

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Hotels emit large amounts of CO2 when providing services. Carbon neutrality objectives and the growth of homestays have forced hotel managers to pay more attention to carbon reduction. First, this paper adopted the input–output method to calculate hotel CO2 emissions. It was found that the amount of CO2 emissions in the hotel industry decreased from the year of 2016 to 2018, and there are structural differences in the CO2 emissions of the hotel industry in China. Furthermore, this paper adopted the three-stage SBM-DEA model to evaluate hotel CO2 emission efficiency in 30 provinces in China. The results show that CO2 emission efficiency increased significantly when environmental factors were eliminated. A close observation of different regions shows that the eastern region has a higher CO2 emission efficiency than the western and middle regions. The emergence of homestays has led to increased input slacks in the labor and energy consumption of hotels, which has a negative effect on efficiency indirectly. Finally, implications and recommendations for the hotel industry are proposed.

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Section: Variable Selectionmentioning

confidence: 95%

Section: Literature Reviewmentioning

confidence: 99%

Section: Variable Selectionmentioning

confidence: 99%

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The CO2 Emission Efficiency of China’s Hotel Industry under the Double Carbon Objectives and Homestay Growth

Xue

Chen

2021

Energies

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“…In recent decade, the relationship between CO2 emissions, energy, and the service sector has become a hot topic. Input-output approach and the data envelopment analysis (DEA) approach have been applied frequently for study the CO2 emissions and energy efficiency on service sector ( Gowdy and Miller, 1987 ; Alcántara and Padilla, 2009 ; Butnar and Llop, 2011 ; Fang et al, 2013 ; Lin and Zhang, 2017 ; Brown et al, 2020 ; Hou et al, 2020 ; Wang et al, 2020 ). Some researchers have examined the energy consumption on service sector.…”

Section: Literature Reviewmentioning

confidence: 99%

Global Inequality in Service Sector Development: Trend and Convergence

Ma¹,

Shum

Han³

et al. 2021

Front. Psychol.

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The COVID-19 pandemic has caused a huge impact on global service sector. In the pandemic background, to understand the disparity in service sector outputs at the global level is crucial for assessing the effectiveness of development policies in different countries. This study investigate the global service sector and it aims to investigate the transitional dynamics of the output from the service sector by adopting stochastic kernel analyses. Distribution dynamics analyses are carried out for all the countries in the world. The data are then divided into different regional and income groups to evaluate the impacts of geographical location and income on the development of the service sector. The results show that the Global North will continue to make greater strides, while the output capacity in many Global South countries struggles to reach the global average. Moreover, it is shown that countries with higher per capita income will perform better in the development of their service sector than those with low per capita income, thereby highlighting the persistence of global inequality. Finally, this study shows that the Sub-Saharan Africa region and the South Asia region both are very important in the alleviation of global inequality.

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“…Specifically, farmland conservation has been proved to have a promising positive prospect to restrain farmland degradation, reduce greenhouse emission, and improve the quality of agricultural products. Therefore, conservation tillage has been treated as the effective way to facilitate a transformation in agricultural development modes and to achieve the sustainable development of agriculture [ 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model

Yang

Shang

2020

IJERPH

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Based on interviews with 695 smallholders in Jianghan Plain, this paper introduced the three-stage data envelopment analysis (DEA) model to analyze the agricultural production efficiency of conservation tillage adopters and explored the impact of environmental factors on agricultural production efficiency. The empirical results showed the following (1) Planting area, seed consumption, labor input, pesticide usage, chemical fertilizer usage, agricultural film usage were selected as input indicators, agricultural output was chosen as an output indicator, and the traditional DEA model was used to calculate the production efficiency of smallholders, and the agricultural production efficiency of smallholders was found to be at a low level. In addition, environmental and random factors both have significant impacts on efficiency, so they should be stripped. (2) After excluding environmental factors and random factors, the drop in pure technical efficiency of smallholders in the third stage was higher than the drop in scale efficiency when compared with the first stage. Moreover, the true technical efficiency was the main restricting factor for the agricultural production efficiency. (3) Educational level of smallholders, policy support, and information acquisition were the factors that affect the technical efficiency significantly. Improving the efficiency of agricultural production technology for smallholders requires strengthening rural basic education, improving subsidy policies for conservation agricultural technology, and establishing and improving rural information technology services.

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Embodied CO2 emissions and efficiency of the service sector: Evidence from China

Cited by 44 publications

References 55 publications

The CO2 Emission Efficiency of China’s Hotel Industry under the Double Carbon Objectives and Homestay Growth

The CO2 Emission Efficiency of China’s Hotel Industry under the Double Carbon Objectives and Homestay Growth

Global Inequality in Service Sector Development: Trend and Convergence

Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model

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