Dataset on Regulatory Frameworks and AHP-Based Multi-Criteria Evaluation of Investment Attractiveness in Therapeutic Forests

Research Hypothesis and Objectives: This dataset was compiled to test the hypothesis that the investment attractiveness of therapeutic forests is driven not only by natural conditions, but largely by regulatory, economic, and institutional factors. These factors can be systematically evaluated through the comparative analysis of international legal acts and the application of multi-criteria decision-making models. The primary objective is to provide a transparent and reproducible foundation for assessing the economic, institutional, regulatory, organizational, and natural factors influencing the development of therapeutic forests. Data Collection and Content: Data were gathered via a systematic comparative review of 27 legal and regulatory documents, national standards, certification systems, and practical case studies of therapeutic forests across seven countries (Japan, South Korea, Germany, Austria, Slovenia, the USA, and Ukraine). The repository contains structured files comprising:  An inventory of regulatory documents across the studied countries, complete with references;  Analytic Hierarchy Process (AHP) pairwise comparison matrices and priority weight calculations for socio-economic, natural, regulatory, and organizational criteria (representing the baseline scenario);  Scenario modeling datasets demonstrating shifts in investment attractiveness priorities under various strategic and conceptual approaches to therapeutic forest development. Notable Findings and Interpretation: The presented data demonstrate that institutional support, financial-economic incentives, and regulatory foundations are key determinants of the investment attractiveness of therapeutic forests. Comparative analysis reveals varying levels of regulatory maturity across the studied countries, along with the presence or complete absence of state support and financial-economic incentives for forest owners. These factors are directly linked to the maturity of therapeutic forests as well as the prevalence and popularity of forest therapy practices. As evidenced by international experience, therapeutic forests typically evolve within the framework of public well-being enhancement, niche tourism, and the recreation sector, serving as a marketing tool to improve the economic viability of forestry enterprises and local communities. Consequently, successful therapeutic forest development relies on integrating their concept into local and regional socio-economic development programs, supported by appropriate financial, economic, and institutional mechanisms. Usage and Reusability: This dataset can be directly utilized by researchers, foresters, policymakers, and investors to adapt Analytic Hierarchy Process (AHP) calculations and conduct further economic assessments in the therapeutic forestry sector. All calculations are fully transparent and formatted for secondary analysis.研究假设与研究目标： 本数据集旨在验证如下研究假设：疗愈森林（therapeutic forests）的投资吸引力不仅受自然条件影响，更在很大程度上取决于监管、经济与制度层面的因素。可通过对国际法律文件的比较分析，结合多准则决策模型（multi-criteria decision-making models）的应用，对上述因素开展系统化评估。本研究的核心目标是为评估影响疗愈森林发展的经济、制度、监管、组织及自然因素，提供一套透明且可复现的分析基础。 数据采集与内容说明： 本数据集通过系统比较分析7个国家（日本、韩国、德国、奥地利、斯洛文尼亚、美国、乌克兰）的27份法律与监管文件、国家标准、认证体系及疗愈森林实践案例采集所得。本数据集仓库包含以下结构化文件： 1. 涵盖所有研究国家的监管文件清单，附完整参考文献； 2. 层次分析法（Analytic Hierarchy Process，AHP）的两两比较矩阵，以及针对社会经济、自然、监管、组织四类准则的优先级权重计算结果（对应基准情景）； 3. 情景建模数据集，用于展示在疗愈森林发展的不同战略与理念框架下，投资吸引力优先级的变化情况。 重要发现与解读： 本次发布的数据表明，制度支持、财政经济激励措施及监管基础是影响疗愈森林投资吸引力的核心决定因素。比较分析结果显示，研究各国的监管成熟度存在显著差异，且针对林主的国家支持与财政经济激励措施的有无情况各不相同。上述因素与疗愈森林的成熟度，以及森林疗愈实践的普及度和受欢迎程度直接相关。国际经验表明，疗愈森林通常依托公共福祉提升、小众旅游及休闲产业框架发展，作为营销工具助力林业企业与当地社区提升经济可持续性。因此，疗愈森林的成功发展需要将其理念融入地方及区域社会经济发展规划，并辅以适配的财政、经济与制度机制予以支撑。 使用与复用说明： 本数据集可直接供研究人员、林业从业者、政策制定者及投资者使用，用于调整层次分析法的计算逻辑，并在疗愈林业领域开展进一步的经济评估。所有计算过程均完全透明，且格式适配二次分析需求。