中国西北地区数字经济与旅游经济韧性的协同演化

doi:10.12118/j.issn.1000－6060.2025.373

Abstract

Abstract:

Clarifying the collaborative evolution mechanism between the digital economy and tourism economy resilience provides a critical path for achieving regional industrial structure optimization and resilience enhancement, and holds strong significance for promoting regional high-quality development. Based on panel data from five provinces and autonomous regions in northwest China from 2011 to 2022, this paper comprehensively applies the entropy method, the Haken model, and the geographical detector method to systematically analyze the collaborative relationship and driving mechanism between the digital economy and tourism economy resilience systems. The results show that (1) The composite system’s overall collaboration level is trending upward. As the leading variable, the digital economy dominates the collaborative evolution process, but the tourism economic resilience has a weak dragging effect (control variable=0.146). (2) The collaborative degree between the digital economy and tourism economy resilience undergoes three stages in time sequence, “sprouting” (2011—2016), “climbing” (2017—2020), and “consolidation” (2021—2022), and forms a gradient pattern with Shaanxi Province leading, Gansu Province and Xinjiang Uygur Autonomous Region in the middle, and Ningxia Hui Autonomous Region and Qinghai Province lagging. (3) Among the external driving factors, transportation conditions and the level of financial development are the core forces, and government support and the industrial structure play a significant role in specific periods. Therefore, the northwest region should strengthen digital infrastructure development, promote the “transportation-finance” dual-wheel drive, and implement differentiated policies to enhance regional collaborative development.

Key words: digital economy, tourism economic resilience, co-evolution, driving factor, northwest China

WANG Shengxia, WU Xinru. Synergistic evolution of digital economy and tourism economic resilience in northwest China[J].Arid Land Geography, 2026, 49(3): 462-473.

Figures/Tables 9

Fig. 1

Tab. 1

Index system of tourism economy resilience evaluation"

评价目标	准则层	一级指标	二级指标	遴选依据	指标内涵	权重
旅游经济韧性（R）	抵抗力	旅游资源丰富度	A级旅游景区总数（X₁）	生延超等^[3]	核心吸引物存量，表征抵抗冲击的资源基础	0.053
		产业结构稳定性	第三产业增加值占GDP比值（X₂）	生延超等^[3]	经济结构多元化水平，增强系统抗风险能力	0.043
		产业结构稳定性	人均GDP（X₃）	生延超等^[3]	区域经济实力，反映应对危机的支撑能力	0.068
		旅游经济收入	国内旅游总收入（X₄）	蔡超岳等^[11]	经济产出规模，体现系统缓冲与抵抗能力	0.058
		旅游经济收入	国内旅游总人数（X₅）	蔡超岳等^[11]	市场需求规模，反映市场稳定性与抗冲击能力	0.057
	恢复力	污染治理	生活垃圾无害化处理率（X₆）	蔡超岳等^[11]	环境压力消纳能力，支持系统短期恢复	0.051
		污染治理	城市污水日处理能力（X₇）	该指标是衡量环境管理水平的通用核心指标	污染处理设施能力，保障环境恢复与承载	0.053
		绿化水平	人均公园绿地面积（X₈）	蔡超岳等^[11]	生态休闲空间供给，促进环境与服务恢复	0.045
			绿地覆盖率（X₉）	蔡超岳等^[11]	生态本底条件，辅助生态环境恢复调节	0.042
		旅游接待设施	星级饭店数量（X₁₀）	王佩佩等^[10]	高标准服务供给能力，支撑市场服务恢复	0.059
		旅游接待设施	旅行社数量（X₁₁）	王佩佩等^[10]	市场组织化程度，增强系统恢复弹性	0.060
		旅游投入	旅游固定资产投资增长率（X₁₂）	反映投资恢复活力	驱动产业更新与恢复的资本再投入能力	0.093
		旅游投入	旅游业从业者人数（X₁₃）	蔡超岳等^[11]	保障服务供给的人力资源储备规模	0.070
	重组力	旅游专业院校	旅游院校数量（X₁₄）	蔡超岳等^[11]	提供长期智力支持与知识创新的人才培养能力	0.083
		旅游人才储备情况	旅游院校招生数（X₁₅）	蔡超岳等^[11]	未来专业人才队伍的潜在供给与创新潜力	0.071
		创新驱动能力	高新技术企业占全省企业比重（X₁₆）	衡量一个地区的创新主体活跃度和产业高技术化水平	高新技术溢出效应能驱动旅游商业模式的根本性创新与重组。	0.042
		开放与竞争力	入境旅游收入占旅游总收入比重（X₁₇）	衡量旅游业国际化水平和市场竞争力	客源市场结构的多元化与国际化程度，增强系统在全球环境波动中的适应性与竞争力。	0.052

Tab. 1

Tab. 2

Fig. 2

Tab. 3

Fig. 3

Fig. 4

Fig. 5

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评价目标	基准层	一级指标	二级指标	遴选依据	指标内涵	权重
数字经济（D）	数字基础设施	移动电话用户数	移动电话年末用户数（Y₁）	何红等^[26]	移动网络用户覆盖规模与终端普及度	0.092
	数字基础设施	宽带互联网基础	互联网宽带接入端口（Y₂）	何红等^[26]	固定宽带网络的物理容量与接入能力	0.088
	数字产业发展	电商产业发展	邮政业务收入（Y₃）	马丽君等^[27]	数字交易带动的实物商品流通市场规模	0.154
		电信产业发展	电信业务收入（Y₄）	衡量数字基础服务产业规模的核心产出指标	电信服务业的直接经济产出与市场规模	0.175
		信息产业基础	信息传输、计算机服务和软件业从业人员数（Y₅）	马丽君等^[27]	核心数字产业的劳动力与人才储备规模	0.166
	数字创新环境	数字创新要素支撑	R&D经费支出（Y₆）	马丽君等^[27]	社会对科技创新活动的资金投入力度	0.148
	数字创新环境	数字创新要素支撑	教育经费支出（Y₇）	马丽君等^[27]	对人力资本培育的长期投入与积累	0.081
	金融数字化支撑环境	覆盖广度	数字普惠金融覆盖广度指数（Y₈）	马丽君等^[27]	数字金融服务触达用户的范围与可获得性	0.036
		使用深度	数字普惠金融使用深度指数（Y₉）	马丽君等^[27]	数字金融服务的使用频率与业务深度	0.035
		数字化程度	数字普惠金融数字化程度指数（Y₁₀）	马丽君等^[27]	技术对金融服务模式的重塑与创新程度	0.025

假设序参量	运动方程	控制参量	结论
q₁=R q₂=D	$\begin{array}{l}{R}_{t}=1.089{R}_{t-1}-\\ 0.066{R}_{t-1}{D}_{t-1}\\ {D}_{t}=1.154{D}_{t-1}-\\ 0.049{D}_{t-1}^{2}\end{array}$	$\begin{array}{l} {\lambda }_{1}=-0.089\\ {\lambda }_{2}=-0.154\\ a=0.066\\ b=-0.049\end{array}$	不满足绝热近似假设，即原假设不成立
q₁=D q₂=R	$\begin{array}{l}{D}_{t}=1.083{D}_{t-1}-\\ 0.146{D}_{t-1}{R}_{t-1}\\ {R}_{t}=0.894{R}_{t-1}+\\ 0.042{R}_{t-1}^{2}\end{array}$	$\begin{array}{l} {\lambda }_{1}=-0.083\\ {\lambda }_{2}=0.146\\ a=0.106\\ b=0.042\end{array}$	满足绝热近似假设，即原假设成立

Synergistic evolution of digital economy and tourism economic resilience in northwest China

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