民航运输对入境旅游经济的影响——基于异质性与空间溢出效应视角

doi:10.12118/j.issn.1000-6060.2023.248

Abstract

Abstract:

Civil aviation transport is the material subject of the passage for inbound passengers to China and is essential for realizing the value of tourism products. Collecting economic data from 31 Chinese provinces, cities, and autonomous regions from 2011 to 2022 and based on the degree of development of the inbound tourism economic with zonal measurement method, this study explores the heterogeneity spillover of air transportation to inbound tourism. By expanding single time series data to temporal and spatial panel data and establishing a spatial econometric model to simulate empirical results, the study concludes that: (1) China’s inbound tourism industry generally presents a trend of aggregation and cooperation. (2) Spatial differences exist in the cross-regional spillovers of inbound tourism caused by civil aviation transport. In regions with developed inbound tourism, the spillover is positive, while in areas with underdeveloped inbound tourism, it is negative. (3) Different regions have varying spatial agglomeration characteristics of inbound tourism. In regions with developed inbound tourism, a pronounced competitive agglomeration effect is present. In underdeveloped areas of inbound tourism, no-agglomeration characteristics are evident and tourism production factors have no spatial correlation. This research provides a theoretical basis for the rational allocation of civil aviation resources, promoting the regional integration of inbound tourism in China and contributing to its high-quality development.

Key words: civil aviation transport, spatial econometric, inbound tourism, space overflow

FAN Xuexiu, LIU Wenping, JIANG Keshen. Impact of civil aviation transport on inbound tourism economy: Based on perspective of heterogeneity and spatial spillover effects[J].Arid Land Geography, 2024, 47(6): 1026-1035.

Figures/Tables 9

Tab. 1

Fig. 1

Fig. 2

Tab. 2

Tab. 3

Tab. 4

Tab. 5

Tab. 6

Tab. 7

References 30

[1]	Boarnet M G. Spillovers and the locational effects of public infrastructure[J]. Journal of Regional Science, 1998, 38(3): 381-400.
[2]	Démurger S. Infrastructure development and economic growth: An explanation for regional disparities in China?[J]. Journal of Comparative Economics, 2001, 29(1): 95-117.
[3]	Cohen J P, Paul C J M. Public infrastructure investment, interstate spatial spillovers, and manufacturing costs[J]. Review of Economics and Statistics, 2004, 86(2): 551-560.
[4]	张志, 周浩. 交通基础设施的溢出效应及其产业差异——基于空间计量的比较分析[J]. 财经研究, 2012, 38(3): 124-134.
	[Zhang Zhi, Zhou Hao. The spillover effects of transportation infrastructure and industrial differences: Comparative analysis based on spatial econometrics[J]. Journal of Finance and Economics, 2012, 38(3): 124-134.]
[5]	刘生龙, 郑世林. 交通基础设施跨区域的溢出效应研究——来自中国省级面板数据的实证证据[J]. 产业经济研究, 2013(4): 59-69.
	[Liu Shenglong, Zheng Shilin. Research on the cross-regional economic growth spillover effects of infrastructures: The empirical results come from China’s provincial panel data[J]. Industrial Economics Research, 2013(4): 59-69.]
[6]	Álvarez-Díaz M, González-Gómez M, Otero-Giráldez M S. Low cost airlines and international tourism demand: The case of Porto’s airport in the northwest of the Iberian Peninsula[J]. Journal of Air Transport Management, 2019, 79: 101689, 10.1016/j.jairtraman.2019.101689.
[7]	Khan S A R, Qianli D, SongBo W, et al. Travel and tourism competitiveness index: The impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism[J]. Journal of Air Transport Management, 2017, 58: 125-134.
[8]	吴晋峰, 任瑞萍, 韩立宁, 等. 中国航空国际网络结构特征及其对入境旅游的影响[J]. 经济地理, 2012, 32(5): 147-152.
	[Wu Jinfeng, Ren Ruiping, Han Lining, et al. Chinese aviation international network and its impact on inbound tourism[J]. Economic Geography, 2012, 32(5): 147-152.]
[9]	Jian H, Pan H, Xiong G, et al. The impacts of civil airport layout to Yunnan local tourism industry[J]. Transportation Research Procedia, 2017, 25: 77-91.
[10]	苏建军, 孙根年, 赵多平. 近30年来中国航空客运与入境旅游的关联效应及空间差异划分[J]. 热带地理, 2012, 32(5): 553-560.
	[Su Jianjun, Sun Gennian, Zhao Duoping. Linkage effect between air passenger traffic and inbound tourism and its regional disparity in China[J]. Tropical Geography, 2012, 32(5): 553-560.]
[11]	Koo T T R, Lim C, Dobruszkes F. Causality in direct air services and tourism demand[J]. Annals of Tourism Research, 2017, 67: 67-77.
[12]	Koo T T R, Hossein Rashidi T, Park J, et al. The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia[J]. Transportation Research. Part A, Policy and Practice, 2017, 106: 116-129.
[13]	张茜, 赵鑫. 交通基础设施及其跨区域溢出效应对旅游业的影响——基于星级酒店、旅行社、景区的数据[J]. 经济管理, 2018, 40(4): 118-133.
	[Zhang Xi, Zhao Xin. The impact of transport infrastructure and its spillover on tourism: Based on the data of hotel, travel agencies and scenic spot[J]. Business and Management Journal, 2018, 40(4): 118-133.]
[14]	崔百胜, 杨晓勤. 交通基础设施对区域经济增长的空间溢出效应[J]. 城市问题, 2017, 264(7): 48-59.
	[Cui Baisheng, Yang Xiaoqin. Spatial spillover effect on regional economic growth by transportation infrastructure[J]. Urban Problems, 2017, 264(7): 48-59.]
[15]	雷振仙, 王坤, 赵松欣. “一带一路”沿线国家交通基础设施对入境旅游的空间效应研究——基于多重距离权重的考察[J]. 干旱区地理, 2023, 46(11): 1915-1926.
	[Lei Zhenxian, Wang Kun, Zhao Songxin. Spatial effects of transport infrastructure on inbound tourism in countries along the Belt and Road: Based on multiple distance weights[J]. Arid Land Geography, 2023, 46(11): 1915-1926.]
[16]	张广海, 赵金金. 我国交通基础设施对区域旅游经济发展影响的空间计量研究[J]. 经济管理, 2015, 37(7): 116-126.
	[Zhang Guanghai, Zhao Jinjin. Spatial econometric analysis of transport infrastructure to the development of regional tourism economic[J]. Business and Management Journal, 2015, 37(7): 116-126.]
[17]	张阳, 靳雪, 龚先洁. 中国沙漠地区旅游业与旅客运输的空间格局及动态响应研究[J]. 干旱区地理, 2021, 44(4): 1153-1163.
	[Zhang Yang, Jin Xue, Gong Xianjie. Spatial pattern and dynamic response between tourism and passenger transportation in desert areas of China[J]. Arid Land Geography, 2021, 44(4): 1153-1163.]
[18]	吴良平, 胡健敏, 张健. 中国省域入境旅游发展的空间计量建模与影响因素效应研究[J]. 旅游学刊, 2020, 35(3): 14-27.
	[Wu Liangping, Hu Jianmin, Zhang Jian. Spatial econometric modeling and influencing factor effects of inbound tourism development in China’s provincial regions[J]. Tourism Tribune, 2020, 35(3): 14-27.]
[19]	王兆峰. 入境旅游流与航空运输网络协同演化及差异分析——以西南地区为例[J]. 地理研究, 2012, 31(7): 1328-1338.
	[Wang Zhaofeng. Co-evolution and disparities between inbound tourism flow and air transport network in southwest China[J]. Geographical Research, 2012, 31(7): 1328-1338.] doi: 10.11821/yj2012070015
[20]	王新越, 郭利贞. 中国省域入境旅游经济韧性时空特征与组态机制[J]. 经济地理, 2023, 43(5): 219-228. doi: 10.15957/j.cnki.jjdl.2023.05.022
	[Wang Xinyue, Gong Lizhen. Spatiotemporal characteristics and configuration mechanism of China’s inbound tourism economic resilience at the provincial level[J]. Economic Geography, 2023, 43(5): 219-228.] doi: 10.15957/j.cnki.jjdl.2023.05.022
[21]	董亚娟, 张一荻. 中国入境旅游经济韧性、效率提升与恢复性增长[J]. 陕西师范大学学报(自然科学版), 2023, 51(2): 1-11.
	[Dong Yajuan, Zhang Yidi. Resilience, efficiency improvement and growth recovery of China’s inbound tourism economy[J]. Journal of Shaanxi Normal University (Natural Science Edition), 2023, 51(2): 1-11.]
[22]	李秋雨, 朱麟奇, 刘继生. 中国入境旅游的经济增长效应与空间差异性研究[J]. 地理科学, 2017, 37(10): 1552-1559. doi: 10.13249/j.cnki.sgs.2017.10.012
	[Li Qiuyu, Zhu Linqi, Liu Jisheng. Spillover effects and spatial differences of inbound tourism on economic growth in China[J]. Scientia Geographica Sinica, 2017, 37(10): 1552-1559.] doi: 10.13249/j.cnki.sgs.2017.10.012
[23]	Leiper N. The framework of tourism: Towards a definition of tourism, tourist, and the tourist industry[J]. Annals of Tourism Research, 1979, 6(4): 390-407.
[24]	薛华菊, 马耀峰, 黄毅, 等. 环首都经济圈入境旅游规模—经济—质量空间演化研究[J]. 地理与地理信息科学, 2014, 30(5): 111-116.
	[Xue Huaju, Ma Yaofeng, Huan Yi, et al. Research on spatial evolution of inbound tourism scale-economy-quality in the economic circle around the capital of China[J]. Geography and Geo-information Science, 2014, 30(5): 111-116.]
[25]	王朝辉, 乔浩浩, 张姗姗, 等. 入境旅游流空间格局演化及大都市旅游高质量发展——以上海市为例[J]. 自然资源学报, 2022, 37(12): 3167-3182. doi: 10.31497/zrzyxb.20221210
	[Wang Zhaohui, Qiao Haohao, Zhang shanshan, et al. Evolution of spatial pattern of inbound tourism flows and enlightenment high quality development of metropolitan tourism: A case study of Shanghai[J]. Journal of Natural Resources, 2022, 37(12): 3167-3182.]
[26]	郭文倩. 入境旅游流与航空运输网络协同演化及差异分析——以中国西北地区为例[D]. 上海: 上海师范大学, 2014.
	[Guo Wenqian. Co-evolution and disparities between inbound tourism flow and aviation transportation network in northwest China[D]. Shanghai: Shanghai Normal University, 2014.]
[27]	王美红, 孙根年, 康国栋. 中国旅游LR-NS-FA空间错位的组合矩阵分析[J]. 人文地理, 2009, 24(4): 115-119.
	[Wang Meihong, Sun Gennian, Kang Guodong. A combined matrix analysis on the spatial dislocation landscape resources, nameplate scenery and finance achievement in China[J]. Human Geography, 2009, 24(4): 115-119.]
[28]	Barros C P. Airports and tourism in Mozambique[J]. Tourism Management, 2014, 41: 76-82.
[29]	汪宇明, 高元衡. 上海与长江流域各省区间的旅游互动[J]. 地理学报, 2008, 63(6): 657-668.
	[Wang Yuming, Gao Yuanheng. The tourism interaction between Shanghai and provinces in the Yangtze River Valley[J]. Acta Geographica Sinica, 2008, 63(6): 657-668.] doi: 10.11821/xb200806010
[30]	Hussain M N. Evaluating the impact of air transportation, railway transportation, and trade openness on inbound and outbound tourism in BRI countries[J]. Journal of Air Transport Management, 2023, 106, doi: 10.1016/j.jairtraman.2022.102307.

变量	观测值	均值	标准差	最小值	最大值	VIF
旅游外汇收入	240	2221.12	3199.63	5.45	19960.40	-
航空运输客运吞吐量	240	2748.62	2548.92	178.79	12940.22	5.72
服务业就业人数	240	227.56	83.51	113.66	575.07	5.19
旅游服务资源	240	181.11	99.61	27.30	568.27	1.65
对外开放水平	240	28.93	40.16	0.29	393.00	2.32
居民消费水平	240	1351.29	1653.37	70.00	8830.00	2.69
基础设施密度	240	8928.53	5443.87	619.21	25284.13	3.98

统计指标	2011年	2012年	2013年	2014年	2015年	2016年	2017年	2018年	2019年
Moran’s I	0.181	0.160	0.152	0.104	0.138	0.157	0.137	0.147	0.153
P值	0.014	0.021	0.022	0.051	0.020	0.014	0.021	0.016	0.019

年份	空间集群异质属性
年份	高被高包围	低被高包围	低被低包围	高被低包围
2011	上海^*、江苏^、浙江^、福建^*	江西^*	甘肃^*	广东^*
2012	上海^*、江苏^、浙江^、福建^**	江西^*	甘肃^*	广东^*
2013	上海^、福建^**	江西^*	无	无
2014	上海^*、浙江^	江西^*	无	无
2015	上海^*、浙江^、福建^***	江西^**	无	无
2016	福建^***	江西^*	无	无
2017	福建^***	江西^*	无	广东^*
2018	无	无	无	广东^**
2019	无	江西^*	无	无

检验	China	Dregion	Uregion
Wald-Lag	9.06	22.09^***	29.30^***
LR-Lag	38.87^***	43.10^***	33.68^***
Wald-Error	10.74^*	21.90^***	27.93^***
LR-Error	44.74^***	44.83^***	32.12^***
Hausman test	140.66^***	131.22^***	-10.45
样本数	240	120	120

变量	China-SAR			China-SEM
变量	空间固定	时间固定	时空固定	空间固定	时间固定	时空固定
Air	0.6437^***	0.5317^***	0.5894^***	0.6469^***	0.4973^***	0.5843^***
Air	（5.98）	（6.00）	（5.01）	（5.95）	（5.46）	（4.97）
ρ(λ)	0.1710	0.1850^***	0.1845^**	0.1600^*	0.0579	0.1693^*
ρ(λ)	2.17**	（3.27）	（2.28）	（1.84）	（0.64）	（1.96）
R²	0.9703	0.7755	0.9712	0.9695	0.7637	0.9708
Log-L	-756.8371	-2100.7776	-746.1289	-2103.7130	-756.8371	-746.4373

Impact of civil aviation transport on inbound tourism economy: Based on perspective of heterogeneity and spatial spillover effects

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 30

Related Articles 8

Metrics

Comments

Recommended 0

变量	Dregion-SDM			Uregion-SDM
变量	直接效应	间接效应	总效应	直接效应	间接效应	总效应
Air	0.7157^***	0.4483^***	1.1640^***	0.1271^***	-0.1031^*	0.0239
Air	（5.11）	（0.18）	（0.25）	（3.70）	（-1.83）	（0.37）

[1]	LEI Zhenxian, WANG Kun, ZHAO Songxin. Spatial effects of transport infrastructure on inbound tourism in countries along the Belt and Road: Based on multiple distance weights [J]. Arid Land Geography, 2023, 46(11): 1915-1926.
[2]	MI Rui-hua, GAO Xiang-dong. Factors influencing population distribution in Shaanxi Province using spatial econometric analysis [J]. Arid Land Geography, 2020, 43(2): 491-498.
[3]	JI Xiaofeng, LI Wu, CHEN Fang. Estimate of poverty reduction effects by the logistics industry development in the contiguous poverty stricken areas [J]. Arid Land Geography, 2019, 42(3): 645-652.
[4]	LI Wen-long, LYU Jun, WANG Shan. Spatial pattern and influencing factors of the competitiveness of inbound tourism destinations in Inner Mongolia [J]. Arid Land Geography, 2019, 42(2): 404-413.
[5]	HE Zhao-li, SUN Hui, ZHANG Zhen-Long. Technical efficiency and influencing factors of China's inbound tourism [J]. , 2017, 40(6): 1282-1289.
[6]	ZHANG Jian-wei, DOU Pan-feng, ZHANG Yong-kai, MIAO Chang-Hong. Spatial econometric analysis of innovation output of Jiangsu Province in terms of county scale [J]. , 2017, 40(1): 222-229.
[7]	TANG Zhongxia,,,MA Yaofeng,WEI Ying. Symbiosis inspection of QinghaiTibet area’s inbound tourism [J]. , 2012, 35(04): 671-677.
[8]	BAI Kai，，LU Chunyan. Spatial correlation of tourism popular cities’ awareness in China from the perspective of inbound tourists’ cognition [J]. , 2012, 35(02): 281-287.

变量	Dregion-SDM			Uregion-SDM
变量	空间固定	时间固定	时空固定	空间固定	时间固定	时空固定
Air	0.7487^***	0.7892^***	0.75235^***	0.1434^***	0.1319^***	0.1604^***
Air	（4.32）	（5.24）	（3.22）	（3.06）	（0.04）	（3.27）
W×Air	0.8963^***	0.7468^***	0.8780^***	0.1293	-0.1196^*	0.1292
W×Air	（3.54）	（3.47）	（2.97）	（1.52）	（0.05）	（1.39）
ρ	-0.2361^***	-0.2361^***	-0.1783^***	-0.3445^***	0.1196	-0.4536^***
ρ	（-2.68）	（2.72）	（-1.97）	（-3.35）	（0.10）	（-4.36）
R²	0.6777	0.9104	0.6550	0.4866	0.7687	0.3497
Log-L	-950.9968	-949.3581	-1049.7000	-743.9783	-738.2471	-803.1951