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The Frontiers of Society, Science and Technology, 2023, 5(4); doi: 10.25236/FSST.2023.050415.

Comparisons of Ecotourism Efficiency and Spatial-temporal Evolution Based on DEA-Malmquist Model: A Case Study of Jiangsu Province in China

Author(s)

Huilin Wang1, Jie Wen2

Corresponding Author:
Jie Wen
Affiliation(s)

1Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China

2Changshu Institute of Technology, Changshu, 215500, China

Abstract

The DEA-Malmquist model was used to measure the ecotourism efficiency of 13 cities in Jiangsu Province from 2010 to 2020, and the spatial and temporal differences were further analysed. The results show that the tourism technical efficiency in Jiangsu Province in China is generally at a high level, and the tourism scale efficiency restricts the improvement of tourism technical efficiency. The unbalanced of the technical progress in tourism between the prefecture-level cities is obvious. Overall, the change of technical progress in tourism has the strongest impact on the total factor productivity index. Therefore, strengthening the inter-regional cooperation of tourism development, training of tourism professionals, improving the structure of tourism industry, optimizing the allocation of tourism production factors, and expanding the scale and agglomeration effect of tourism can improve the efficiency of ecotourism.

Keywords

Ecotourism efficiency, DEA-Malmquist model, Differentiation studies, Temporal and spatial evolution

Cite This Paper

Huilin Wang, Jie Wen. Comparisons of Ecotourism Efficiency and Spatial-temporal Evolution Based on DEA-Malmquist Model: A Case Study of Jiangsu Province in China. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 4: 89-96. https://doi.org/10.25236/FSST.2023.050415.

References

[1] Kong M, Wang X, Wu Q. The development efficiency of China's innovative industrial clusters-based on the DEA-Malmquist model [J]. Arabian Journal of Geosciences, 2021, 14(7):1-15.

[2] Yi T, Liang M. Evolutional Model of Tourism Efficiency Based on the DEA Method: A Case Study of Cities in Guangdong Province, China [J]. Asia Pacific Journal of Tourism Research, 2014, 20(7):789-806.

[3] Yin J, Tan Q. Study on Urban Efficiency Measurement and Spatiotemporal Evolution of Cities in Northwest China Based on the DEA–Malmquist Model [J]. Sustainability, 2019, 11.

[4] Liang M, Tingting Y I, Li B. Study on the Evolutional Model of Tourism Efficiency Based on DEA-MI [J]. Tourism Tribune, 2013, 28(5):53-62.

[5] WangHuadi, XuShaogui, XieQiuyi, et al. Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors [J]. Complexity, 2021.

[6] Cao M X. Study on the Temporal Evolution and Regional Differentiation of Agricultural Total Factor Productivity——Based on the empirical analysis of Jiangsu province [J]. Science Technology and Industry, 2017.

[7] Fengxia H, Jian Z. Chinese High-tech Industry Technology Efficiency and Spatial-temporal Evolution——Based on three-stage DEA-Malmquist model [J]. Science Technology and Industry, 2016.

[8] Weiwei H U, Shui Y U, Zhiyuan M A, et al. Spatial and Temporal Variance Analysis of Agricultural Eco-efficiency in Jiangsu Province Based on DEA-Malmquist Model[J]. Bulletin of Soil and Water Conservation, 2018.

[9] Zhang Y, Business S O, University J. Spatial and Temporal Evolution of Star-rated Hotels' Efficiency in China Based on DEA-Malmquist Model [J]. Scientia Geographica Sinica, 2017.

[10] Wang Z F, Zhao S S, University H N. Temporal and Spatial Dynamic Evolution and Influencing Factors of Tourism Efficiency in Hunan Province Based on DEA-Malmquist Model[J]. Resources and Environment in the Yangtze Basin, 2019.

[11] Li S, Shan Z. The Spatial-temporal Differentiation and Its Driving Mechanism of Coastal Urban Tourism Development Efficiency-A Case Study of Shandong Peninsula Blue Economic Zone[J]. Journal of Ocean University of China(Social Sciences), 2015.

[12] Zhao S S, Wang Z F, University H N. Spatial and Temporal Dynamic Evolution and Coupling Relationship of Regional Tourism Development Scale and Efficiency: A Case Study of 14 Cities and Municipalities in Hunan Province[J]. Resources and Environment in the Yangtze Basin, 2019.

[13] Zhang H, Gong S. The Measurement and Aanalysis of Industrial Green Total Factor Productivity Based on DEA-Malmquist Model——Taking Hubei Province as An Example[J]. Journal of Jiangxi Normal University(Natural Science Edition), 2017.

[14] Han J, Xia T. The Spatial-temporal Heterogeneity of the Total Factor Productivity of the Logistics Enterprises——Based on the DEA-Malmquist Index[J]. Science and Technology Management Research, 2016.

[15] Qiu-Qin L U, Liu Q, Huang G Q, et al. Analysis on the Efficiency and Change of Energy Space Transfer Pattern in Northwest China Based on DEA-Malmquist Model[J]. Mathematics in Practice and Theory, 2019.

[16] Wang X, Wei Q, Xianhui H U. Comprehensive Evaluation of Cities' Green Economy Effi ciency and Spatial and Temporal Differentiation in China: Based on the DEA-BCC and Malmquist Model [J]. Ecological Economy, 2016.

[17] Guan W, Wang S, Shuting X U. Spatial-Temporal Characteristics and Affecting Factors of Export Trade Carbon Emission:A Case Study in the Coastal Provinces of China[J]. Ecological Economy, 2019.

[18] Mei G, Zhan Y R. Assessment of Land-sea Economic Efficiency and Coordination in Liaoning Coastal Economic Belt——Based on DEA-Malmquist Model [J]. Resource Development & Market, 2017.