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Forestry Leisure Tourism Development Efficiency in China: Dynamic Evolution, Spatial Spillovers, and Configurational Pathways

This study evaluates China's forestry leisure tourism development efficiency using advanced econometric and machine learning models to reveal that its growth is driven primarily by efficiency improvements, relies on complementary configurations of tourism foundations and ecological quality, and exhibits significant spatial spillovers requiring coordinated regional strategies.

Original authors: Zhuang Ma, Ting Wang, Chunyang Han, Zhenhong Li

Published 2026-10-26
📖 5 min read🧠 Deep dive

Original authors: Zhuang Ma, Ting Wang, Chunyang Han, Zhenhong Li

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine a landscape where the boundary between a working forest and a place for people to relax is blurring. In China, this is not just a scenic shift but a major economic strategy. Forestry leisure tourism is the practice of turning vast tracts of trees, parks, and natural landscapes into destinations where people can hike, camp, and enjoy nature, generating income for local communities. The core challenge for policymakers is not just building these destinations, but ensuring they are efficient. Efficiency, in this context, means getting the most value out of the resources put in. It asks whether the money spent on infrastructure, the labor of guides and staff, and the preservation of the land are actually translating into a thriving tourism experience and a healthy economy. As nations strive for sustainable development, understanding how to balance ecological protection with economic gain becomes a critical question. If resources are wasted or mismanaged, the very forests meant to be preserved could suffer, and the local economies that depend on them could stagnate.

A team of researchers set out to map this complex relationship across thirty-one provinces in China over a decade, from 2013 to 2023. They wanted to know not only how well these regions were performing but also how they influenced one another. Did a successful tourism hub in one province help its neighbors, or did it steal their visitors? They also sought to understand the specific mix of conditions required for success, recognizing that there is rarely a single magic bullet for improvement. By combining data on government spending, employment, park sizes, and visitor numbers with advanced statistical tools, the team constructed a detailed picture of how forestry tourism efficiency has changed over time and space.

The study revealed a clear upward trend in efficiency, with the average performance across the country rising significantly over the ten-year period. However, the path was not a straight line; there were fluctuations, including a dip during the global pandemic years before a strong recovery in 2023. When the researchers broke down the reasons for this growth, they found a surprising driver. The improvement came primarily from better management and organization of existing resources rather than from new technology. In other words, provinces became more efficient by using their current forests, staff, and facilities more wisely, rather than by inventing entirely new ways to do things. While technology played a role, it was the optimization of what was already there that fueled the most progress.

The researchers also discovered that these provinces do not exist in isolation. The performance of one region is deeply connected to its neighbors. They found that factors like urbanization and industrial changes have a double-edged effect. Within a single province, rapid urban growth and shifts in industry often hurt forestry tourism efficiency, likely because they consume land and resources that could otherwise support nature-based activities. Yet, these same factors had a positive effect on neighboring provinces. A city's growth in one area seemed to spill over, improving tourism efficiency in nearby regions through better transport links and shared services. Conversely, high local demand for leisure and excellent local environmental quality sometimes hurt neighbors. When a province becomes a popular destination with beautiful scenery, it can draw visitors away from surrounding areas, creating a competitive squeeze rather than a cooperative boost.

Perhaps the most nuanced finding was that there is no single formula for success. The researchers used a method that looks at how different conditions combine to produce results, rather than just measuring the impact of one factor at a time. They found that high efficiency can be achieved through several different paths. In some cases, a strong tourism foundation paired with high-quality nature was enough to drive success. In others, regions with lower urban pressure but strong industrial coordination or high visitor demand managed to thrive. The study explicitly ruled out the idea that any single factor, such as having more money or more trees, is sufficient on its own. Instead, success depends on a specific configuration of conditions working together. For instance, regions that struggled with low efficiency often shared a common trait: they lacked both a solid tourism foundation and good environmental quality.

The implications of these findings are practical and immediate. The study suggests that a one-size-fits-all approach to development will fail. Instead, regions need strategies tailored to their specific combination of strengths and weaknesses. Areas with strong tourism and nature should focus on refining their services and products. Regions with less urban pressure but good resources should prioritize low-impact facilities and outdoor education. Meanwhile, areas struggling with weak foundations need to focus on basic ecological restoration and essential infrastructure before attempting large-scale expansion. The research underscores that sustainable forestry tourism is not just about planting trees or building hotels; it is about carefully coordinating how land, labor, and markets interact across borders. By understanding these dynamic relationships, leaders can make better decisions that protect the environment while ensuring that the economic benefits of nature are shared and sustained.

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