Research on the efficiency of agro-tourism integration in China: Based on the DEA cross-efficiency model

Huajin Li; Songbiao Zhang; Yue Deng; Huilin Wang; Huajin Li; Songbiao Zhang; Yue Deng; Huilin Wang

doi:10.3934/math.20231178

AIMS Mathematics

2023, Volume 8, Issue 10: 23164-23182. doi: 10.3934/math.20231178

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Research on the efficiency of agro-tourism integration in China: Based on the DEA cross-efficiency model

Hunan Institute of Innovation and Development, Hunan University of Science and Technology, Xiangtan 411201, China

Received: 03 May 2023 Revised: 27 June 2023 Accepted: 12 July 2023 Published: 20 July 2023
MSC : 90C08

The efficiency of agro-tourism integration has become an important research object in evaluating agricultural efficiency. However, traditional efficiency evaluation theories and methods assume that all decision-making units are independent of each other and cannot effectively deal with the complex relationship between agriculture and tourism development. Based on the cooperative relationship between agriculture and tourism, this study constructed a data envelopment analysis (DEA) model based on cross-efficiency. It used ten input variables and six output variables from the agricultural and tourism systems to analyze the efficiency of agro-tourism integration in 31 provinces in mainland China from 2010 to 2019. The research results show that the efficiency of agro-tourism integration in China is relatively high and tourism significantly promotes agriculture. Still, the promotion efficiency of agriculture on tourism is low and the integration efficiency of agriculture and tourism in different provinces is significantly different with spatially differentiated features. From the perspective of dynamic trends, hot and sub-hot spots continue to gather in the developed eastern provinces, while cold spots and sub-cold spots mainly gather in the northwest region. Finally, eight indicators were selected to analyze the reasons for forming the spatial differentiation characteristics of China's efficiency of agro-tourism integration.
- efficiency of agro-tourism integration,
- DEA cross-efficiency model,
- spatially differentiated features,
- geographic detectors
Citation: Huajin Li, Songbiao Zhang, Yue Deng, Huilin Wang. Research on the efficiency of agro-tourism integration in China: Based on the DEA cross-efficiency model[J]. AIMS Mathematics, 2023, 8(10): 23164-23182. doi: 10.3934/math.20231178

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Abstract

The efficiency of agro-tourism integration has become an important research object in evaluating agricultural efficiency. However, traditional efficiency evaluation theories and methods assume that all decision-making units are independent of each other and cannot effectively deal with the complex relationship between agriculture and tourism development. Based on the cooperative relationship between agriculture and tourism, this study constructed a data envelopment analysis (DEA) model based on cross-efficiency. It used ten input variables and six output variables from the agricultural and tourism systems to analyze the efficiency of agro-tourism integration in 31 provinces in mainland China from 2010 to 2019. The research results show that the efficiency of agro-tourism integration in China is relatively high and tourism significantly promotes agriculture. Still, the promotion efficiency of agriculture on tourism is low and the integration efficiency of agriculture and tourism in different provinces is significantly different with spatially differentiated features. From the perspective of dynamic trends, hot and sub-hot spots continue to gather in the developed eastern provinces, while cold spots and sub-cold spots mainly gather in the northwest region. Finally, eight indicators were selected to analyze the reasons for forming the spatial differentiation characteristics of China's efficiency of agro-tourism integration.

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