信息化对旅游经济效率的影响及其作用机制研究

doi:10.13249/j.cnki.sgs.2022.10.004

Abstract

Abstract:

The wide application of information technology play a very important role in tourism development, but few studies have divided it into an information infrastructure layer and an information technology consumption layer. Based on the data of the balance panel model of 31 provinces from 2005 to 2017, this article uses a DEA model to measure the economic efficiency of tourism of each research unit and uses ArcGIS spatial statistical tools to carry out spatial visualization analysis. On this basis, we further investigate the mechanism of information infrastructure, information technology consumption and control variables on the economic efficiency of tourism. The main findings are as follows: 1) The development of (In-formation Communication Technology, ICT) has not improved the economic efficiency of tourism in China as a whole, which proves the existence of the Solow Paradox and Gordon effect in the tourism sector; 2) The promotion effect of ICT on the economic efficiency of tourism mainly benefits from the drive of information infrastructure. However, the consumption of information technology has a significant restraining effect on the economic efficiency of tourism, and the main reason is the insufficient application of information technology by tourism operators. Depending on factor input and scale economy to improve the economic output and efficiency of tourism is still the main development mode of tourism in many provinces during the study period. 3) The spatial differential development of the regional economy further strengthens the spatial difference in the economic efficiency of tourism. The economic efficiency of tourism in China’s three regions still shows a gradient of East > Central > West. The spatial boundary of scale efficiency is the Hu Huanyong Line, and spatial differentiation is constantly expanding. The causes of the Solow paradox and Gordon effect in the tourism sector mainly lie in the insufficient application of information technology by tourism operators. In the western China in particular, the ability to transform modern information technology into advanced productive forces is still limited. With the rapid development and diffusion of information technology, the degree to which the tourism and information industries are integrated is increasing, and the influence of the information level on the tourism economy is gradually strengthened. Based on the research conclusions, the policy implications of this article for the development of tourism in the 3 regions are obvious. In the future, the eastern coastal region should pay attention to the technical training of practitioners, improve the absorptive capacity of knowledge and the potential energy of innovation development, and avoid the problem of technology waste in the process of enterprise operation. There is still room for improvement in scale efficiency in the central and western China. The overall tourism development efficiency of the central and western China can be improved by adjusting the industrial layout and structure and reasonably expanding the scale of the tourism industry. In particular, the western region should focus on the promotion of information technology consumption for the economic efficiency of tourism.

Key words: information infrastructure, information technology consumption, Solow Paradox, Gordon effect, China

CLC Number:

F592.99

Yu Tingting, Zuo Bing. Influence Mechanism of Information Communication Technology in the Economic Efficiency of Tourism[J].SCIENTIA GEOGRAPHICA SINICA, 2022, 42(10): 1717-1726.

Figures/Tables 5

Fig. 1

Table 1

The value of tourism economic efficiency in China in 2005, 2011 and 2017

	综合效率			纯技术效率			规模效率
	2005年	2011年	2017年	2005年	2011年	2017年	2005年	2011年	2017年
注：未含港澳台数据。
北京市	1.000	0.891	0.283	1.000	1.000	0.307	1.000	0.891	0.922
天津市	0.356	0.390	0.121	0.589	0.521	0.273	0.604	0.748	0.441
河北省	0.228	0.519	1.000	0.281	0.539	1.000	0.812	0.962	1.000
山西省	0.260	0.235	0.211	0.365	0.276	0.306	0.714	0.851	0.688
内蒙古自治区	0.244	0.253	0.075	0.458	0.343	0.177	0.532	0.739	0.422
辽宁省	0.393	0.743	0.111	0.430	0.765	0.153	0.915	0.972	0.726
吉林省	0.501	0.507	0.133	0.729	0.593	0.301	0.688	0.855	0.442
黑龙江省	0.447	0.567	0.079	0.607	0.647	0.170	0.736	0.876	0.466
上海市	0.773	1.000	0.320	0.795	1.000	0.357	0.973	1.000	0.898
江苏省	0.501	0.469	0.140	0.527	0.475	0.161	0.951	0.987	0.867
浙江省	0.278	0.506	0.107	0.290	0.515	0.129	0.959	0.982	0.828
安徽省	0.181	0.321	0.051	0.255	0.387	0.091	0.712	0.828	0.563
福建省	0.326	0.397	0.099	0.419	0.434	0.145	0.777	0.914	0.683
江西省	0.090	0.382	0.064	0.122	0.441	0.128	0.736	0.866	0.497
山东省	0.308	0.379	0.065	0.335	0.387	0.080	0.920	0.978	0.805
河南省	1.000	0.299	0.066	1.000	0.332	0.108	1.000	0.901	0.609
湖北省	0.308	0.440	0.088	0.370	0.473	0.132	0.832	0.930	0.667
湖南省	0.137	0.458	1.000	0.181	0.492	1.000	0.756	0.931	1.000
广东省	0.978	0.876	0.210	1.000	1.000	0.223	0.978	0.876	0.942
广西壮族自治区	0.307	0.455	0.086	0.384	0.500	0.147	0.800	0.910	0.583
海南省	0.540	0.704	0.143	0.687	0.778	0.246	0.786	0.905	0.582
重庆市	0.345	0.432	0.113	0.485	0.502	0.196	0.713	0.860	0.574
四川省	0.442	0.777	0.098	0.474	0.794	0.129	0.933	0.979	0.763
贵州省	0.256	0.531	0.063	0.383	0.621	0.141	0.667	0.854	0.445
云南省	0.237	0.424	0.077	0.289	0.457	0.117	0.820	0.926	0.652
西藏自治区	0.218	0.521	0.191	0.802	1.000	1.000	0.272	0.521	0.191
陕西省	0.295	0.302	0.064	0.413	0.345	0.113	0.715	0.874	0.564
甘肃省	0.215	0.298	0.063	0.415	0.384	0.160	0.519	0.776	0.392
青海省	0.193	0.378	0.043	0.971	0.725	0.244	0.199	0.522	0.178
宁夏回族自治区	0.249	0.280	0.086	1.000	0.644	0.400	0.249	0.434	0.216
新疆维吾尔自治区	0.309	0.469	0.088	0.423	0.527	0.168	0.729	0.889	0.523

Table 1

Table 2

Table 3

Table 4

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	LLC	IPS	Fisher-ADF	Fisher-PP
注：lnT为旅游经济综合技术规模效率；lnI₂为信息技术消费；lnI₁为信息基础设施；lnp为经济发展水平；lntr为交通条件；lno为对外开放水平；lns为经济结构服务化水平；lnr为旅游资源禀赋；lnf为市场化制度建设水平；lnu为城市化水平；^*、^和^*分别表示1%、5%和10%水平显著；LLC为同质单位根检验，IPS、Fisher-ADF和Fisher-PP为异质单位根检验；未含港澳台数据。
lnT	−3.604^***	−6.746^***	143.383^***	153.355^***
lnI₁	−20.831^***	−11.681^***	227.558^***	328.308^***
lnI₂	−3.0429^***	−2.005^**	118.561^***	73.487^*
lnp	−16.100^***	−7.738^***	164.009^***	332.370^***
lntr	−22.135^***	−17.390^***	261.999^***	250.311^***
lno	−7.657^***	−3.194^***	96.686^***	169.593^***
lns	−4.028^***	1.385	233.149^***	102.722^***
lnr	−5.561^***	−7.723^***	151.198^***	74.010^***
lnf	−24.765^***	−14.987^***	188.506^***	261.113^***
lnu	−2.886^***	−6.746^***	147.383^***	153.355^***

	特征值	迹统计量	临界值	P值
注：未含港澳台数据。
无	0.923770	89.84736	54.38372	0.0000
至多1个	0.912079	79.74763	49.83726	0.0001
至多2个	0.682938	47.84733	53.28374	0.0736
至多3个	0.342536	21.82732	39.28374	0.1827

	拟合方程	F检验	P值	样本数
注：变量含义同表2；未含港澳台数据。
全国	lnT=0.378lnI₁–0.130lnI₂–0.367lnp+0.647lntr +0.087lno–0.133lns	38.938	0.000	403
东部	lnT=0.345lnI₁+0.123lnI₂–1.241lnp +1.092lno+0.676lnf	59.398	0.000	143
中部	lnT=0.467lnI₁–0.374lnI₂+0.321lntr–1.029lns –0.873lnr–0.839lnf	39.948	0.001	104
西部	lnT=0.532lnI₁–0.342lnI₂+0.182lntr+0.221lno–0.934lns–0.234lnu	72.938	0.000	156

Influence Mechanism of Information Communication Technology in the Economic Efficiency of Tourism

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