基于DEA-Malmquist指数模型的旅游交通业绿色发展效率测度与评价——以兰州市为例

doi:10.12118/j.issn.1000-6060.2024.553

Abstract

Abstract:

Green development in tourism transportation industry represents both a new breakthrough for the advancement of high-quality tourism development and a significant embodiment of ecological civilization construction. Accordingly, this study takes the Lanzhou City, a critical transportation hub city in western China, as a case study, employing the entropy weight method and the DEA-Malmquist index model to measure and evaluate the green development efficiency of the tourism transportation industry of Lanzhou from 2014 to 2023. The following findings were obtained: (1) In terms of spatiotemporal evolution, temporally, the comprehensive environmental cost index of Lanzhou’s tourism transportation industry demonstrates a downward trajectory, which is accompanied by enhanced green development efficiency and a generally positive development trend. In a spatial sense, the green development efficiency of tourism transportation industry in Lanzhou’s main urban areas follows a distribution pattern in which Anning District displays the highest efficiency, followed sequentially by Xigu District, Qilihe District, and Chengguan District. (2) Using the Malmquist index decomposition results, the total factor productivity of Lanzhou’s tourism transportation industry experienced slow overall growth, with Chengguan District registering the least growth and Qilihe District achieving the most. The research results can provide a reference for optimizing the green development of the tourism transportation industry in Lanzhou City and promoting regional ecological protection.

Key words: green development efficiency, tourism transportation industry, DEA-Malmquist index model, Lanzhou City

LIU Danqi, YANG Ali, GU Youqian. Measurement and evaluation of green development efficiency of tourism transportation industry based on the DEA-Malmquist index model: A case of Lanzhou City[J].Arid Land Geography, 2025, 48(11): 2062-2071.

Figures/Tables 7

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References 32

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指标	一级指标	二级指标	三级指标	单位	属性
投入	劳动投入	人力资源储备	年末从业人员数量	10⁴人	+
	科技投入	科技事业费用支出	环保技术研发、合作交流支出	10⁴元	+
	科技投入	科技事业费用支出	绿色出行技术推广支出	10⁴元	+
	资源投入	资源投入综合指数	总用水量	10⁴ m³	+
			总用电量	10⁴ kWh	+
			石油、燃油、石油液化气供应量	10⁴ bbl	-
	资本投入	资本存量	固定资产投资额	10⁴元	+
产出	绿色GDP	经济效益	GDP	10⁴元	+
		环境成本综合指数	交通废气排放量	10⁴ t	-
			交通噪音产出量	10⁴ dB	-
			交通固体废弃物排放量	10⁴ t	-

地区	综合技术效率	纯技术效率	规模效率	规模报酬
城关区	0.2917	0.3077	0.9480	规模报酬递增
七里河区	0.5181	0.5343	0.9696	规模报酬递增
西固区	0.7939	1.0000	0.7939	规模报酬不变
安宁区	1.0000	1.0000	1.0000	规模报酬不变
兰州市	0.1673	1.0000	0.1673	规模报酬不变

Measurement and evaluation of green development efficiency of tourism transportation industry based on the DEA-Malmquist index model: A case of Lanzhou City

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