| 摘要: |
| 在旅游产业可持续发展面临困境的现
实背景下，为促成生态保护与旅游产业协调共
进，文章探究城乡绿色空间与旅游产业发展间
内在关系及其影响机制。通过熵值法等综合评
价方法衡量城乡绿色空间与旅游产业发展水
平，借助双向固定效应模型进行实证分析。结
果表明：城乡绿色空间与旅游产业发展之间存
在显著的“倒U”型关系，即初期促进、后期
抑制，目前78.571%的省域仍未达到城乡绿色
空间拐点；“倒U”型关系在东部地区、绿色
空间高水平区域及旅游产业低水平地区更为明
显；水资源禀赋与财政环保支出在二者关系中
发挥中介作用，数字产业化则具有“翻转”效
应，尤其在东部地区作用明显。研究为区域差
异化推进绿色空间建设与旅游产业高质量协同
发展提供了理论依据与实践参考。 |
| 关键词: 城乡绿色空间 旅游产业发展 倒“U”
型 绿化 生态 |
| DOI：10.13791/j.cnki.hsfwest.20240823003 |
| 分类号: |
| 基金项目:国家社会科学基金青年科学基金项目（21CTY008） |
|
| Urban-rural green space and tourism industry development: Empirical evidence based onthe “inverted U” relationship |
|
LI Mengyuan,,PANG Jiapeng
|
| Abstract: |
| Exploring the interactive mechanism between urban-rural green spaces and the tourism
industry is of great significance for advancing high-quality economic development. As the tourism
industry evolves in depth, the early extensive development model has exceeded environmental
carrying capacity. Ecological issues stemming from the one-sided pursuit of economic gains have
become a constraint on its sustainable development. Ecological civilization construction
encompasses carbon reduction, pollution control, green expansion, and growth. As a core carrier,
urban-rural green spaces cover vegetation-covered areas across urban and rural domains, integrating
the functions of purification and conservation, leisure services, and consumption driving. They
serve as a pivotal support for the healthy development of the tourism industry. Consequently,
clarifying the correlation between the two and exploring synergistic paths is an inevitable
requirement for achieving a win-win scenario between ecology and industry.Existing studies exhibit
three limitations. Firstly, research on green spaces has focused on urban areas while neglecting rural
regions, failing to construct an integrated urban-rural indicator system. Secondly, most analyses of
their relationship remain confined to linear frameworks, lacking empirical tests on non-linear
relationships (e.g., the inverted U-shape) and their underlying drivers, with insufficient robustness
verification. Thirdly, water resource endowment, fiscal environmental protection expenditure, and
digital industrialization have not been incorporated into the analytical framework, leaving the
synergistic effects of multiple factors underexplored. This study innovates in three aspects. Firstly, it
establishes a dual-dimensional indicator system for urban-rural green spaces: the urban dimension
includes five indicators such as the green coverage rate of built-up areas, while the rural dimension
comprises seven indicators such as forestry land area, comprehensively reflecting regional green
space quality. Secondly, based on panel data of 31 provinces from 2008 to 2021, it empirically tests
the non-linear relationship between the two, integrating U-tests, endogeneity tests, and multiple
rounds of robustness tests to ensure the reliability of conclusions. Thirdly, it designates water
resource endowment and fiscal environmental protection expenditure as mediating variables, and
digital industrialization as a moderating variable, to dissect the influence paths of multiple factors.
Drawing on panel data of 31 Chinese provinces from 2008 to 2021, this study constructs indicators
for urban-rural green space quality and tourism industry development levels using the entropy
method and entropy-TOPSIS method. In terms of model specification, a two-way fixed effects
model is adopted for benchmark regression. A quadratic term is introduced to verify the inverted Ushaped
relationship, and the influence mechanisms of water resource endowment, fiscal
environmental protection expenditure, and digital industrialization are systematically explored.
Empirical results reveal a significant inverted U-shaped relationship between the two, with an
inflection point of 0.300. When the index is below 0.300, green spaces promote tourism
development by attracting visitors through their ecological and leisure functions. When exceeding
0.300, they transform into an inhibitory factor due to low development efficiency and touristaesthetic fatigue. Among the samples, 78.57% have not crossed the inflection point, and only seven provinces (accounting for 22.58%) were in the inhibitory
stage in 2021. Heterogeneity analysis indicates that the inverted U-shaped relationship is more pronounced in eastern regions, areas with high-level green
spaces, and regions with low-level tourism industries. In contrast, the relationship is weaker or even absent in central and western regions, areas with low-level
green spaces, and regions with high-level tourism industries. Regarding the influence mechanism, water resource endowment and fiscal environmental
protection expenditure play mediating roles. An inverted U-shaped relationship exists between urban-rural green spaces and water resource endowment: in the
early stage, green spaces conserve water resources; in the later stage, excessive water consumption by massive plant reproduction surpasses the water
conservation capacity, leading to a decline in water resources. Meanwhile, the purification function of green spaces can substitute for part of environmental
protection inputs, reducing the demand for fiscal environmental protection expenditure. These two factors affect the tourism industry by supporting tourism
attractions and improving public services, respectively. Digital industrialization exerts a “reversing” effect: in the early stage, it inhibits tourism due to lagging
integration and high costs; in the later stage, it reduces reliance on green spaces through new formats such as “e-sports + tourism”, thereby promoting tourism
development and transforming the inverted U-shape into a U-shape. Further regional analysis shows that digital industrialization in eastern regions has flattened
the inverted U-shaped relationship; central regions exhibit a U-shaped relationship after regulation; and in western regions, the moderating effect is not
significant due to low digitalization levels. This study enriches research on the interaction between ecology and tourism. Regions can formulate targeted
policies based on their own green space levels, providing practical references for ecological protection and tourism industry development. |
| Key words: urban and rural green space tourism industry development inverted “U” shape greening ecology |
