The mechanism and causal combination of the evolution of tourism economic network of urban agglomeration on the West Coast of the Taiwan Straits

doi:10.3969/j.issn.1004-9479.2022.06.2020588

Abstract

Abstract:

Taking the city groups on the West Coast of the Taiwan Straits as an example, the tourism economic network is constructed by gravity correction model. Based on the theory of "growth pole", the driving factors of tourism economic network are discussed by using QAP and geographical detector analysis methods, and the causal combination allocation strategy is discussed by using fsQCA method. The results show that: (1) the spatial structure of tourism economic network of city groups on the west coast of the Straits is characterized by relatively dense network in the eastern coastal areas and sparse network in the central and western regions. (2) The level of regional economy and the degree of opening to the outside world are the core driving factors, and each influencing factor has a high impact on promoting the spatial development of tourism economy. (3) The results of the overall level of geographical detector factor detection show that the detection force value q be situated between 0.506 And 0.926. Among them, each influencing factor is in a comparative advantage position in the tourism economic network system, and the core driving factors of tourism economic spatial development are obvious, among which, the regional GDP (q= 0.926)and open degree (q= 0.834)are the most outstanding factors, which is also reflected in the continuous improvement of tourism demand and the development trend of tourism supply in the direction of high quality. Finally, two causal combination configuration schemes are identified. Based on the perspective of network, this paper explores driving mechanism and theoretical system of regional tourism economy, helps to optimize and manage the spatial development of regional tourism economy.

Key words: city agglomeration of the West Coast of the Taiwan Straits, tourism economy, spatial network, dynamic mechanism, causal combination configuration

摘要：

以海峡西岸城市群为例，通过修正引力模型构建旅游经济网络，依托“增长极”理论，运用QAP和地理探测器分析方法，探讨旅游经济网络驱动因素，并运用fsQCA方法探讨其因果组合配置策略。结果如下：①海峡西岸城市群旅游经济网络空间结构呈东部沿海地区网络相对密集、中西部网络稀疏特征。②地区经济水平、对外开放程度是其核心驱动因素；各影响因子对促进旅游经济空间发展的影响强度均较高。③地理探测器分析结果显示，各影响因素在旅游经济网络系统中处相对优势地位，旅游经济空间发展核心驱动因素明显，其中，以地区GDP、对外开放程度最为突出，这也体现为旅游需求不断提升以及旅游供给向高质量方向发展的趋势。研究最终识别出两种因果组合配置方案。本研究有助于实现区域旅游经济空间发展优化及管理。

关键词: 海峡西岸城市群, 旅游经济, 空间网络, 动力机制, 因果组合配置

Xuetong SONG, Yongquan LI, Wenqi RUAN. The mechanism and causal combination of the evolution of tourism economic network of urban agglomeration on the West Coast of the Taiwan Straits[J]. World Regional Studies, 2022, 31(6): 1321-1331.

宋学通, 李勇泉, 阮文奇. 海峡西岸城市群旅游经济网络演化的动力机制与因果组合配置[J]. 世界地理研究, 2022, 31(6): 1321-1331.

Figures/Tables 4

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自变量	自变量解释	QAP相关分析
经济发展水平	地区GDP差值矩阵	0.257^***
人口因素	人口数量差值矩阵	0.308^***
旅游吸引力	旅游资源禀赋差值矩阵	0.300^***
旅游吸引力	产业结构差值矩阵	0.247^***
信息化程度	邮电业务量差值矩阵	0.132^***
交通便捷度	公路里程差值矩阵	0.460^***
对外开放程度	实际使用外资差值矩阵	0.168^***

自变量	自变量解释	QAP相关分析
经济发展水平	地区GDP差值矩阵	0.257^***
人口因素	人口数量差值矩阵	0.308^***
旅游吸引力	旅游资源禀赋差值矩阵	0.300^***
旅游吸引力	产业结构差值矩阵	0.247^***
信息化程度	邮电业务量差值矩阵	0.132^***
交通便捷度	公路里程差值矩阵	0.460^***
对外开放程度	实际使用外资差值矩阵	0.168^***

序号	探测指标	年份
序号	探测指标	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	总体
X1	地区GDP	0.954	0.951	0.567	0.959	0.953	0.942	0.906	0.887	0.961	0.854	0.926
X2	人口因素	0.598	0.570	0.520	0.470	0.498	0.456	0.525	0.563	0.564	0.517	0.528
X3	旅游资源禀赋	0.569	0.524	0.334	0.481	0.759	0.506	0.601	0.422	0.460	0.482	0.506
X4	信息化水平	0.413	0.325	0.372	0.590	0.594	0.300	0.548	0.754	0.897	0.648	0.531
X5	交通便捷度	0.558	0.558	0.505	0.629	0.653	0.682	0.726	0.757	0.709	0.583	0.637
X6	产业结构	0.523	0.727	0.681	0.742	0.951	0.755	0.480	0.733	0.673	0.760	0.699
X7	对外开放程度	0.858	0.837	0.882	0.804	0.872	0.803	0.889	0.870	0.745	0.657	0.834

序号	探测指标	年份
序号	探测指标	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	总体
X1	地区GDP	0.954	0.951	0.567	0.959	0.953	0.942	0.906	0.887	0.961	0.854	0.926
X2	人口因素	0.598	0.570	0.520	0.470	0.498	0.456	0.525	0.563	0.564	0.517	0.528
X3	旅游资源禀赋	0.569	0.524	0.334	0.481	0.759	0.506	0.601	0.422	0.460	0.482	0.506
X4	信息化水平	0.413	0.325	0.372	0.590	0.594	0.300	0.548	0.754	0.897	0.648	0.531
X5	交通便捷度	0.558	0.558	0.505	0.629	0.653	0.682	0.726	0.757	0.709	0.583	0.637
X6	产业结构	0.523	0.727	0.681	0.742	0.951	0.755	0.480	0.733	0.673	0.760	0.699
X7	对外开放程度	0.858	0.837	0.882	0.804	0.872	0.803	0.889	0.870	0.745	0.657	0.834

组合配置	旅游经济
组合配置	M1	M2
经济发展水平	●	●
人口因素	●	●
旅游资源禀赋	◎	●
产业结构	●	●
信息化程度	●	●
交通便捷度	●	●
对外开放程度	●	●
覆盖率	0.424	0.285
净覆盖率	0.147	0.007
一致性	0.767	0.738
总体覆盖率	0.431
总体一致性	0.652