新疆旅游业生态效率时空分异与收敛性研究

doi:10.12118/j.issn.1000-6060.2021.533

Abstract

Abstract:

In order to reveal the temporal changes, spatial differences and sources, dynamic evolution and convergence of tourism eco-efficiency in Xinjiang, China, the MinDS model of undesired output was used to measure its efficiency level, ArcGIS technology, Dagum Gini coefficient and its decomposition method and kernel density were used. Estimation and other tools were used to explore its spatial and temporal differentiation pattern from 2005 to 2019, and a convergence model was constructed to verify its spatial convergence. The results show that the ecological efficiency of Xinjiang’s tourism industry presents a temporal and spatial distribution evolution pattern of “high in the north and low in the south” that fluctuates steadily. There are β absolute convergence, β conditional convergence and club convergence, and the conditional convergence speed is significantly faster than absolute convergence speed. In the past 15 years, the proportion of cities in Xinjiang at level I has tended to increase, and the overall Gini coefficient has the characteristics of periodicity and volatility, and regional differences are the main source of spatial differences in tourism eco-efficiency. The tourism eco-efficiency between Xinjiang as a whole and northern Xinjiang has the characteristics of shrinking absolute differences and polarization, while the absolute differences in southern and eastern Xinjiang are expanding. Therefore, coordinating the eco-efficiency of tourism in the southern, northern and eastern Xinjiang regions in the future is the focus of work to achieve the high-quality development of Xinjiang’s overall tourism.

Key words: tourism, eco-efficiency, spatial and temporal differentiation, MinDS model, Dagum Gini coefficient, convergence model

WANG Yukai,GUO Hui. Spatial and temporal differentiation and convergence studies of the eco-efficiency of Xinjiang tourism industry[J].Arid Land Geography, 2022, 45(4): 1320-1331.

Figures/Tables 11

Tab. 1

Tab. 2

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Tab. 3

Fig. 6

Tab. 4

Tab. 5

Convergence regression results and robustness test of the eco-efficiency of Xinjiang tourism industry"

回归变量控制效应统计描述	$E O T I ˆ i t$
回归变量控制效应统计描述	绝对收敛（模型1）	条件收敛（模型2）	俱乐部收敛（模型3）	绝对收敛（模型4）	条件收敛（模型5）	俱乐部收敛（模型6）
$l n E O T I i, t - 1$	-0.0310^*** （0.0074）	-0.0308^*** （0.0099）	-0.0309^*** （0.0074）	-0.0296^*** （0.0076）	-0.0291^*** （0.0077）	-0.0295^*** （0.0076）
人口数量				0.0010^*** （0.0006）	0.0010^*** （0.0006）	0.0014^*** （0.0006）
人均公园面积				-0.0065^* （0.0047）	-0.0073 （0.0049）	-0.0068^** （0.0047）
水资源总量				-0.0003^** （0.009）	-0.0006^* （0.001）	0.0001^** （0.001）
年固定效应	是	是	是	是	是	是
地区固定效应	否	否	是	否	否	是
城市固定效应	否	是	否	否	是	否
Constant	0.2153^***	0.9698^**	0.4033^**	0.1578^*	0.7197^*	0.2151^**
Constant	（0.0885）	（0.0542）	（0.1059）	（0.1382）	（0.2839）	（0.1460）
观测值	196	196	196	196	196	196
R²	0.1919	0.6482	0.1207	0.1944	0.7141	0.3941

Tab. 5

References 31

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指标类型	一级指标	二级指标
投入指标	资源投入	A级及以上旅游景区数量/个
		旅行社数量/个
		星级宾馆数量/个
	资本投入	旅游业固定资产投资额/10⁸元
	能源投入	旅游能源（标准煤）消耗总量/10⁴ t
	人力投入	旅游产业就业人数/人
产出指标	期望产出	旅游总人数/10⁴人
	期望产出	旅游总消费/10⁸元
	非期望产出	旅游环境污染指数/%

年份	乌鲁木齐市	克拉玛依市	吐鲁番市	哈密市	昌吉州	伊犁州直	塔城地区	阿勒泰地区	博州	巴州	阿克苏地区	克州	喀什地区	和田地区	均值
2005	0.722	0.033	0.236	0.160	0.011	0.419	0.097	0.285	0.012	0.188	0.288	0.092	0.179	0.162	0.197
2006	1.013	0.016	0.268	0.184	0.029	0.317	0.150	0.380	0.022	0.323	0.523	0.086	0.170	0.080	0.223
2007	1.033	0.037	1.076	0.175	0.003	0.412	0.068	1.088	0.023	0.496	0.796	0.089	0.212	0.086	0.347
2008	1.127	0.028	0.403	0.203	0.003	0.388	0.112	0.573	0.036	0.573	0.973	0.098	0.169	0.090	0.274
2009	0.446	0.016	0.241	0.098	0.005	0.218	0.055	0.081	0.016	0.105	0.105	0.061	0.161	0.083	0.116
2010	1.108	0.031	0.207	0.109	0.018	1.213	0.172	0.089	0.122	0.178	0.178	0.182	0.221	0.103	0.270
2011	1.113	0.024	0.325	0.125	0.075	1.108	0.283	0.143	0.215	0.091	0.091	0.129	0.225	0.157	0.291
2012	1.131	0.044	0.300	0.144	0.146	0.856	0.279	0.215	0.224	0.152	0.152	0.095	0.287	0.155	0.285
2013	1.083	0.046	0.116	0.163	0.143	1.298	0.327	0.399	0.227	0.143	0.143	0.136	0.253	0.074	0.312
2014	0.655	0.057	0.088	0.124	0.136	1.219	0.277	0.199	0.214	0.110	0.110	0.084	0.390	0.035	0.244
2015	1.064	0.049	0.084	0.121	0.152	1.082	0.285	0.239	0.241	0.109	0.109	0.088	0.376	0.031	0.276
2016	0.806	0.088	0.130	0.038	0.112	0.692	0.304	0.381	0.335	0.119	0.119	0.142	0.308	0.043	0.257
2017	1.084	0.098	0.173	0.102	0.212	0.834	0.372	0.670	0.358	0.203	0.203	0.158	0.282	0.015	0.338
2018	1.160	0.108	0.446	0.026	1.087	1.154	0.117	1.186	0.197	0.035	0.035	0.146	0.318	0.016	0.437
2019	0.785	0.113	0.437	0.226	1.034	1.084	0.291	1.203	0.397	0.267	0.867	0.131	0.235	0.131	0.465
均值	0.955	0.053	0.302	0.133	0.211	0.820	0.212	0.475	0.176	0.206	0.313	0.115	0.252	0.084	0.317
排名	1	14	5	11	8	2	7	3	10	9	4	12	6	13	-

年份	总体	区域内	贡献率/%	区域间	贡献率/%	超变密度	贡献率/%
2005	0.4499	0.1811	40.25	0.0517	11.50	0.2171	48.25
2006	0.4981	0.2068	41.51	0.0430	8.63	0.2483	49.85
2007	0.5466	0.2025	37.04	0.1007	18.43	0.2434	44.53
2008	0.5324	0.2140	40.19	0.0455	8.55	0.2729	51.26
2009	0.4673	0.1762	37.70	0.0822	17.59	0.2089	44.70
2010	0.5423	0.2221	40.96	0.2030	37.43	0.1172	21.61
2011	0.5179	0.2057	39.72	0.2365	45.67	0.0756	14.61
2012	0.4406	0.1779	40.38	0.2018	45.80	0.0609	13.83
2013	0.5035	0.1945	38.62	0.2759	54.79	0.0332	6.59
2014	0.5183	0.2068	39.89	0.2532	48.85	0.0583	11.25
2015	0.5304	0.2021	38.10	0.2794	52.68	0.0489	9.22
2016	0.4511	0.1576	34.94	0.2640	58.52	0.0295	6.54
2017	0.4464	0.1538	34.44	0.2668	59.77	0.0258	5.78
2018	0.5623	0.1706	30.34	0.3456	61.47	0.0460	8.19
2019	0.4030	0.1430	35.47	0.1819	45.14	0.0781	19.38
均值	0.4940	0.1876	37.97	0.1888	38.32	0.1176	23.71

区域	分布位置	主峰分布形态	极化趋势	延展性
新疆	左移-右移	主峰上升,宽度缩小	两极分化	右拖尾,延展扩宽
北疆	右移	主峰上升,宽度缩小	两极分化	右拖尾,延展扩宽
南疆	左移-右移	主峰下降,宽度扩大	无极化现象	右拖尾,延展扩宽
东疆	左移-右移	主峰下降,宽度扩大	无极化现象	右拖尾,延展扩宽

Spatial and temporal differentiation and convergence studies of the eco-efficiency of Xinjiang tourism industry

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