中国旅游双循环市场效率空间演进及驱动因素异质性研究

doi:10.12118/j.issn.1000-6060.2023.614

Abstract

Abstract:

To explore the heterogeneity of development differences and driving factors in the tourism dual-circulation market, this issue uses the Super-DEA algorithm to measure the efficiency of the tourism industry within and outside the 31 provinces in China, and investigates the spatiotemporal evolution of tourism dual circulation market efficiency by using conditional kernel density method and GIS spatial analysis. Through the Geodetector tool, we analyze the differences in the driving factors of tourism internal and external market. The results showed that: (1) In terms of static spatial structure, the difference in tourism market efficiency inside and outside China presents a regional segmentation phenomenon, with smaller differences in the east and the largest differences in the central region. (2) In terms of dynamic spatial evolution, the gravity center of tourism internal and external market efficiency is shifting to the southwest, and there appears a polarization phenomenon between low-efficiency areas and high-efficiency areas. (3) In terms of driving factors, factors at the product supply level are key to promoting efficient development in both domestic and international markets. Tourism products and supporting facilities play an important role in both markets. At the government behavior guidance level, the role of marketization and information technology in promoting the external circulation market is greater than that of the internal circulation.

Key words: “dual circulation”, conditional kernel density, standard deviation ellipsoid, Geodetector

CHENG Yunjie, YANG Linjie. Spatial evolution and differences in driving factors of tourism dual circulation market efficiency in China[J].Arid Land Geography, 2024, 47(9): 1606-1616.

Figures/Tables 7

Tab. 1

Tab. 2

Provincial tourism dual circulation market efficiency in China from 2008 to 2019"

地区	省市	2008年		2010年		2012年		2015年		2017年		2019年
地区	省市	内部市场效率	外部市场效率	内部市场效率	外部市场效率	内部市场效率	外部市场效率	内部市场效率	外部市场效率	内部市场效率	外部市场效率	内部市场效率	外部市场效率
东部地区	北京	0.800	0.831	0.771	0.605	0.714	0.564	0.702	0.443	0.641	0.465	0.603	0.375
	天津	1.646	0.900	1.332	0.815	1.334	1.459	1.532	1.989	1.345	1.607	1.561	1.690
	河北	0.360	0.079	0.847	0.185	0.491	0.108	0.529	0.100	0.549	0.086	0.513	0.103
	辽宁	0.680	0.316	1.026	0.565	0.974	0.615	0.599	0.176	0.468	0.187	0.566	0.183
	上海	0.859	1.852	2.168	1.775	1.896	1.238	0.617	0.846	1.305	1.233	0.533	0.765
	江苏	0.747	0.633	0.793	0.515	0.730	0.518	0.651	0.198	0.600	0.220	0.576	0.148
	浙江	0.647	0.622	0.573	0.443	0.588	0.421	0.582	0.583	0.426	0.747	0.505	0.822
	福建	0.672	0.965	0.540	0.570	0.633	0.674	0.562	0.794	0.551	1.073	0.517	0.913
	山东	0.533	0.223	0.554	0.232	0.583	0.266	0.544	0.166	0.436	0.181	0.455	0.190
	广东	0.657	3.216	0.737	2.565	0.847	3.111	1.027	3.937	0.930	2.065	1.556	4.037
	海南	0.318	0.288	0.277	0.171	0.304	0.153	0.363	0.123	0.451	0.315	0.543	0.198
	均值	0.720	0.902	0.874	0.767	0.827	0.830	0.701	0.850	0.700	0.744	0.721	0.857
中部地区	山西	0.768	0.254	0.653	0.183	0.787	0.195	1.198	0.106	1.114	0.094	1.336	0.121
	吉林	0.512	0.233	0.631	0.225	0.684	0.280	0.881	0.397	1.046	0.350	0.852	0.443
	黑龙江	0.755	0.784	1.243	0.526	1.267	0.458	0.369	0.144	0.312	0.133	0.329	0.091
	安徽	0.588	0.307	0.550	0.266	0.761	0.380	0.742	0.426	0.666	0.338	0.841	0.376
	江西	0.565	0.187	0.644	0.201	0.728	0.236	0.735	0.142	0.743	0.159	0.710	0.171
	河南	1.572	0.240	0.836	0.158	0.931	0.174	0.991	0.330	0.565	0.212	0.780	0.221
	湖北	0.501	0.154	0.703	0.223	0.853	0.273	0.778	0.243	0.570	0.252	0.824	0.267
	湖南	0.621	0.154	0.740	0.210	0.687	0.171	0.707	0.149	0.644	0.245	0.712	0.232
	均值	0.735	0.289	0.750	0.249	0.837	0.271	0.800	0.242	0.708	0.223	0.798	0.240
西部地区	内蒙古	0.439	0.518	0.519	0.345	0.460	0.286	0.545	0.272	0.593	0.290	0.453	0.251
	广西	0.829	0.305	0.730	0.366	0.630	0.423	0.578	0.461	0.608	0.576	0.564	0.608
	重庆	1.045	0.257	1.098	0.264	1.137	0.333	1.116	0.377	0.895	0.452	0.989	0.430
	四川	0.861	0.091	1.019	0.120	1.207	0.196	1.216	0.300	0.842	0.292	1.222	0.484
	贵州	1.402	0.135	1.429	0.150	1.345	0.159	1.537	0.175	2.149	0.225	1.629	0.232
	云南	0.566	0.318	0.584	0.447	0.562	0.374	0.504	0.452	0.954	0.508	0.956	0.530
	西藏	0.144	0.130	0.212	0.256	0.189	0.148	0.242	0.179	0.508	0.396	0.338	0.320
	陕西	0.665	0.381	0.721	0.328	0.688	0.394	0.660	0.355	0.540	0.451	0.637	0.428
	甘肃	0.224	0.017	0.281	0.016	0.303	0.018	0.413	0.010	0.398	0.011	0.426	0.010
	青海	0.303	0.046	0.206	0.036	0.236	0.040	0.209	0.037	0.132	0.019	0.142	0.024
	宁夏	0.297	0.009	0.290	0.015	0.192	0.009	0.186	0.027	0.163	0.065	0.153	0.058
	新疆	0.173	0.084	0.197	0.197	0.205	0.219	0.247	0.277	0.282	0.475	0.254	0.449
	均值	0.579	0.191	0.607	0.212	0.596	0.217	0.621	0.244	0.672	0.313	0.647	0.319

Tab. 2

Fig. 1

Tab. 3

Fig. 2

Fig. 3

Tab. 4

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指标类型	指标类别	指标名称
投入指标	产业投入	旅游从业人员/10⁴人
		星级饭店数量/家
		星级景区数量/个
		旅行社数量/个
产出指标	内循环市场	国内旅游人数/10⁴人
		国内旅游收入/10⁴元
	外循环市场	入境旅游人数/10⁴人
		入境旅游收入/10⁴元

类别	内循环市场效率分类	外循环市场效率分类
低水平	青海、宁夏、新疆、黑龙江、西藏、甘肃、内蒙古、山东	甘肃、青海、宁夏、黑龙江、河北、山西、江苏、江西
中低水平	浙江、河北、福建、上海、海南、广西、辽宁、江苏	辽宁、山东、海南、河南、湖南、贵州、内蒙古、湖北
中高水平	北京、陕西、江西、湖南、河南、湖北、安徽、吉林	西藏、北京、安徽、陕西、重庆、吉林、新疆、四川
高水平	云南、重庆、四川、山西、广东、天津、贵州	云南、广西、上海、浙江、福建、天津、广东

	内循环市场				外循环市场
探测因子	2008年	2012年	2015年	2019年	2008年	2012年	2015年	2019年
旅游资源丰富度	0.411^**	0.425^**	0.418^***	0.432^***	0.375^**	0.352^***	0.421^**	0.414^***
配套设施水平	0.523^***	0.572^***	0.590^***	0.631^***	0.578^***	0.581^***	0.613^***	0.644^***
文旅融合水平	0.124^*	0.152^*	0.254^**	0.287^*	0.132^*	0.145^*	0.189^*	0.203^**
受教育水平	0.312^***	0.353^***	0.364^***	0.384^***	0.401^***	0.452^***	0.423^***	0.419^***
数字经济	0.264^**	0.298^*	0.421^***	0.589^***	0.402^***	0.461^***	0.526^**	0.531^***
市场化水平	0.442^**	0.467^**	0.452^**	0.542^**	0.476^**	0.485^*	0.462^**	0.492^***

Spatial evolution and differences in driving factors of tourism dual circulation market efficiency in China

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