Eco-efficiency, eco-productivity and tourism growth in China: a non-convex metafrontier DEA-based decomposition model

Zha, Jianping; Yuan, Wenwen; Dai, Jiaquan; Tan, Ting; He, Lamei

doi:10.1080/09669582.2019.1699102

Cited by 57 publications

(57 citation statements)

References 61 publications

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“…The total carbon emissions of the three tourism sectors in Gansu increased from 50.6 kilotons in 1997 to 229 kilotons in 2016, with an average growth of 18.25%, a little higher than that of the 16.01% in China’s tourism industry, as evaluated by Zha [ 73 ]. The indirect part of carbon emissions increased from 55.7 kilotons in 1997 to 173.3 kilotons in 2016.…”

Section: Resultsmentioning

confidence: 99%

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Xia

Dong

et al. 2022

IJERPH

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Eco-efficiency analysis can provide useful information about sustainability in the tourism industry, which has an important role in both global economy recovery and Sustainable Development Goals (SDGs), generating considerable indirect carbon emissions with respect to the supply chain due to its significant connections to other industries. This study, from the perspective of tourism sectors, including tourism hotels, travel agencies, and scenic spots, integrated the environmentally extended input–output analysis (EEIO) and data envelopment analysis (DEA) models to develop a research framework, analyzing the indirect carbon emissions of the tourism supply chain, evaluating eco-efficiency with respect to both direct carbon emissions and total carbon emissions (including direct and indirect parts), and exploring the driving factors of eco-efficiency of tourism sectors using Tobit regression models. This study took Gansu as a case, a province in China characterized by higher carbon intensity, an underdeveloped economy, and rapid tourism growth. The results demonstrate that (1) tourism hotels contribute the most carbon emissions in tourism sectors, especially indirectly due to the supply chain, with carbon emissions mainly resulting from the manufacturing of food and tobacco; (2) the eco-efficiency of tourism sectors in Gansu presents a U-shaped curve, which is consistent with Kuznets’ theory; and (3) energy technology is key to improving the eco-efficiency of tourism sectors. The research results provide a clear path for the reduction of carbon emissions and the improvement of eco-efficiency in Gansu tourism sectors. Against the backdrop of global climate change and the post-COVID-19 era, our research framework and findings provide a reference for similar regions and countries who are in urgent need of rapid tourism development to effect economic recovery.

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Section: Resultsmentioning

confidence: 99%

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Xia

Dong

et al. 2022

IJERPH

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“…This is reasonable, as government regulations prevent environmental damage and pollution (Randle & Hoye, 2016), which protect the natural resources and maintain the reputation of destinations. Moreover, environmental regulations improve eco‐efficiency (Ren, Li, Yuan, Li, & Chen, 2018) and consequently drive tourism growth of destinations (Zha, Yuan, Dai, Tan, & He, 2020). The STTID represents a government's commitment to the sustainability of tourism in a destination, which has been reported to match tourists' growing awareness of environmental issues (Pulido‐Fernández et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

Is sustainable development reasonable for tourism destinations? An empirical study of the relationship between environmental competitiveness and tourism growth

Zhan

2020

Sustainable Development

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Sustainable development is an important strategy promoted by the United Nations World Tourism Organization (UNWTO) and governments of many destinations. However, the seeming contradiction about the environment vis‐à‐vis business interests may result in noncompliant responses to the environmental policies and regulations and hinder implementation of strategies for improved sustainability. Using resource‐based theory, we empirically test the influence of environmental competitiveness on tourism growth. Using a biennial dataset from 130 destinations between 2009 and 2017, the current work applies the fixed effect (FE) and threshold models to identify a strong link for developed destinations but a weak link for less developed regions. Several indicators of environmental competitiveness significantly affect tourism demand for destinations with high GDP per capita; the effects are not significant, however, for low GDP per capita destinations. These findings demonstrate that environmental factors are important influencers of destination competitiveness and are positively linked to economic performance of developed destinations. The connection between environmental competitiveness and tourism growth in less developed destinations seems weak and insignificant. A possible reason could be that such destinations lack the capital guarantee to translate environmental competitiveness into tourism demand. This article extends the resource‐based theory from the corporate level into the destination level and theoretically contributes to the sustainable tourism literature. Our findings provide the UNWTO and destination governments with empirical evidence to support their sustainable strategies and with suggestions concerning how to strengthen the environment‐performance link for less developed destinations.

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“…The coefficients of tourism industry share in GDP and employment remain significant and positive with overall tourism efficiency results, presenting that observed countries that pay special attention to the tourism industry are more efficient (Radovanov et al, 2020). The growth of the economic level and the technological progress will cause the elevation of tourism efficiency overall (Liu et al, 2017). The coefficient concerning the relationship of government prioritization of tourism industry with tourism efficiency is positive and statistically significant at the 5% level.…”

Section: Figure 1 Average Efficiency Scorementioning

confidence: 86%

Efficiency of Tourism Development: Application of Dea and Tobit Model

Horvat¹,

Radovanov²

2020

International Thematic Monograph: Modern Management Tools and Economy of Tourism Sector in Present Era

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The main goal of this chapter is to evaluate the relative efficiency of tourism development in 33 European countries using a Two-stage DEA model for the seven-year time period. The output-oriented DEA model with a variable return to scale has been applied, with one input variable (government expenditure for travel and tourism (T&T)) and four output variables (average receipts per arrival, number of international tourist arrivals, T&T share of GDP and T&T share of employment). Results of the first stage showed that the lowest average efficiency scores were achieved in countries that recently joined the European Union, while a significant increase of efficiency is observed in the results of Western Balkan countries. The highest average efficiency score achieved countries in the EU15 group. Results of the second stage indicate the statistically significant relationships of the tourism efficiency scores with average international tourism receipt per arrival, tourism industry share of GDP and share of employment, government prioritization of tourism industry, visa requirements, number of rooms, rate of use and number of natural sites.

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Eco-efficiency, eco-productivity and tourism growth in China: a non-convex metafrontier DEA-based decomposition model

Cited by 57 publications

References 61 publications

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Is sustainable development reasonable for tourism destinations? An empirical study of the relationship between environmental competitiveness and tourism growth

Efficiency of Tourism Development: Application of Dea and Tobit Model

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