Regional Sustainability最新文献

Climate change vulnerability assessment in the new urban planning process in Tanzania 坦桑尼亚新城市规划过程中的气候变化脆弱性评估

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100155

Issa Nyashilu , Robert Kiunsi , Alphonce Kyessi

Climate change vulnerability assessment is an essential tool for identifying regions that are most susceptible to the impacts of climate change and designing effective adaptation actions that can reduce vulnerability and enhance long-term resilience of these regions. This study explored a framework for climate change vulnerability assessment in the new urban planning process in Jangwani Ward, Tanzania. Specifically, taking flood as an example, this study highlighted the steps and methods for climate change vulnerability assessment in the new urban planning process. In the study area, 95 households were selected and interviewed through purposeful sampling. Additionally, 10 respondents (4 females and 6 males) were interviewed for Focus Group Discussion (FGD), and 3 respondents (1 female and 2 males) were selected for Key Informant Interviews (KII) at the Ministry of Lands, Housing and Human Settlements Development. This study indicated that climate change vulnerability assessment framework involves the assessment of climatic hazards, risk elements, and adaptive capacity, and the determination of vulnerability levels. The average hazard risk rating of flood was 2.3. Socioeconomic and livelihood activities and physical infrastructures both had the average risk element rating of 3.0, and ecosystems had the average risk element rating of 2.9. Adaptive capacity ratings of knowledge, technology, economy or finance, and institution were 1.6, 1.9, 1.4, and 2.2, respectively. The vulnerability levels of socioeconomic and livelihood activities and physical infrastructure were very high (4.0). Ecosystems had a high vulnerability level (3.8) to flood. The very high vulnerability level of socioeconomic and livelihood activities was driven by high exposure and sensitivity to risk elements and low adaptive capacity. The study recommends adoption of the new urban planning process including preparation, planning, implementation, and monitoring-evaluation-review phases that integrates climate change vulnerability assessment in all phases.

气候变化脆弱性评估是一项重要工具，可用于确定最易受气候变化影响的地区，并设计有效的适应行动，以降低这些地区的脆弱性并提高其长期适应能力。本研究探讨了坦桑尼亚 Jangwani Ward 新城市规划过程中的气候变化脆弱性评估框架。具体而言，以洪水为例，本研究强调了在新城市规划过程中进行气候变化脆弱性评估的步骤和方法。通过有目的的抽样调查，在研究区域内选取了 95 户家庭进行访谈。此外，10 名受访者（4 名女性和 6 名男性）接受了焦点小组讨论 (FGD) 访谈，3 名受访者（1 名女性和 2 名男性）在土地、住房和人类住区发展部接受了关键信息提供者访谈 (KII)。这项研究表明，气候变化脆弱性评估框架包括对气候灾害、风险要素和适应能力的评估，以及脆弱性等级的确定。洪水的平均危害风险等级为 2.3。社会经济和生计活动以及有形基础设施的平均风险要素评级均为 3.0，生态系统的平均风险要素评级为 2.9。知识、技术、经济或金融以及机构的适应能力评级分别为 1.6、1.9、1.4 和 2.2。社会经济和生计活动以及有形基础设施的脆弱性水平非常高（4.0）。生态系统对洪水的脆弱程度较高（3.8）。社会经济和生计活动的极高脆弱性水平是由对风险要素的高暴露度和敏感度以及低适应能力造成的。研究建议采用新的城市规划流程，包括准备、规划、实施和监测-评估-审查阶段，在所有阶段都纳入气候变化脆弱性评估。

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引用次数: 0

Understanding factors affecting non-participants’ interest in community-supported agriculture 了解影响非参与者对社区支持农业兴趣的因素

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100160

Maula Fadhilata Rahmatika, Agus Suman, Wildan Syafitri, Sri Muljaningsih

Community-supported agriculture (CSA) has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia. This study uses the well-established unified theory of acceptance and use of technology (UTAUT2) model to examine the interest in CSA of potential customers in Indonesia. A standardized questionnaire was distributed to 1200 respondents, and the data were analyzed using structural equation model-partial least square (SEM-PLS) in SmartPLS 4.0 software. The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia. The model explains 44.4% of customers’ intentions, and identifies performance expectancy as the decisive factor in customers’ willingness to participate in CSA. Performance expectancy (0.292), hedonic motivation (0.262), social influence (0.259), and facilitating conditions (0.086) positively influence customers’ interest in participating in a CSA program. The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies, offering training on sustainable farming practices, facilitating the establishment of distribution channels, and establishing guidelines for fair price and quality standards. This study shows the high potential for the implementation of CSA in Indonesia. It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.

社区支持农业（CSA）已成为印尼等国应对农业挑战的可行解决方案。本研究采用成熟的技术接受和使用统一理论（UTAUT2）模型来研究印度尼西亚潜在客户对社区支持农业的兴趣。向 1200 名受访者发放了标准化问卷，并使用 SmartPLS 4.0 软件中的结构方程模型--部分最小二乘法（SEM-PLS）对数据进行了分析。分析结果捕捉到了潜在 CSA 消费者的兴趣，有助于改进印尼 CSA 发展战略。该模型解释了 44.4% 的客户意向，并确定绩效预期是客户参与 CSA 意愿的决定性因素。绩效预期（0.292）、享乐动机（0.262）、社会影响（0.259）和便利条件（0.086）对客户参与 CSA 项目的兴趣产生了积极影响。通过实施提供税收激励和补贴的法规、提供有关可持续农业实践的培训、促进分销渠道的建立以及制定公平价格和质量标准的指导方针，可以提高农民和顾客对 CSA 项目的采用率。本研究表明，印度尼西亚实施 CSA 的潜力很大。它还可作为印尼制定可持续农业市场新政策的基础。

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引用次数: 0

Characteristics and drivers of the soil multifunctionality under different land use and land cover types in the drylands of China 中国旱地不同土地利用和土地覆盖类型下土壤多功能性的特征和驱动因素

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100162

Song Boyi , Zhang Shihang , Lu Yongxing , Guo Hao , Guo Xing , Wang Mingming , Zhang Yuanming , Zhou Xiaobing , Zhuang Weiwei

The drylands of China cover approximately 6.6×10⁶ km² and are home to approximately 5.8×10⁸ people, providing important ecosystem services for human survival and development. However, dryland ecosystems are extremely fragile and sensitive to external environmental changes. Land use and land cover (LULC) changes significantly impact soil structure and function, thus affecting the soil multifunctionality (SMF). However, the effect of LULC changes on the SMF in the drylands of China has rarely been reported. In this study, we investigated the characteristics of the SMF changes based on soil data in the 1980s from the National Tibetan Plateau Data Center. We explored the drivers of the SMF changes under different LULC types (including forest, grassland, shrubland, and desert) and used structural equation modeling to explore the main driver of the SMF changes. The results showed that the SMF under the four LULC types decreased in the following descending order: forest, grassland, shrubland, and desert. The main driver of the SMF changes under different LULC types was mean annual temperature (MAT). In addition to MAT, pH in forest, soil moisture (SM) and soil biodiversity index in grassland, SM in shrubland, and aridity index in desert are crucial factors for the SMF changes. Therefore, the SMF in the drylands of China is regulated mainly by MAT and pH, and comprehensive assessments of the SMF in drylands need to be performed regarding LULC changes. The results are beneficial for evaluating the SMF among different LULC types and predicting the SMF under global climate change.

中国旱地面积约 6.6×106 平方公里，人口约 5.8×108 人，为人类生存和发展提供了重要的生态系统服务。然而，旱地生态系统极其脆弱，对外部环境变化非常敏感。土地利用和土地覆盖（LULC）的变化会极大地影响土壤结构和功能，从而影响土壤多功能性（SMF）。然而，LULC 变化对中国旱地土壤多功能性的影响却鲜有报道。在本研究中，我们基于国家青藏高原数据中心 20 世纪 80 年代的土壤数据，研究了 SMF 变化的特征。我们探讨了不同 LULC 类型（包括森林、草地、灌木林地和荒漠）下 SMF 变化的驱动因素，并利用结构方程模型探讨了 SMF 变化的主要驱动因素。结果表明，四种 LULC 类型下的 SMF 降幅依次为：森林、草地、灌木林地和荒漠。不同 LULC 类型下 SMF 变化的主要驱动因素是年平均温度（MAT）。除平均年气温外，森林的 pH 值、草地的土壤湿度（SM）和土壤生物多样性指数、灌木林的土壤湿度（SM）和荒漠的干旱指数也是影响 SMF 变化的关键因素。因此，中国旱地的SMF主要受MAT和pH的调控，需要针对LULC的变化对旱地的SMF进行综合评估。研究结果有助于评估不同土地利用、土地利用变化和土地利用类型之间的SMF，预测全球气候变化下的SMF。

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引用次数: 0

Climatic and non-climatic factors driving the livelihood vulnerability of smallholder farmers in Ahafo Ano North District, Ghana 加纳阿哈福阿诺北区小农生计脆弱性的气候和非气候因素

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100157

Frank Baffour-Ata , Louisa Boakye , Moses Tilatob Gado , Ellen Boakye-Yiadom , Sylvia Cecilia Mensah , Senyo Michael Kwaku Kumfo , Kofi Prempeh Osei Owusu , Emmanuel Carr , Emmanuel Dzikunu , Patrick Davies

Smallholder farmers in Ahafo Ano North District, Ghana, face multiple climatic and non-climatic issues. This study assessed the factors contributing to the livelihood vulnerability of smallholder farmers in this district by household surveys with 200 respondents and focus group discussions (FGDs) with 10 respondents. The Mann–Kendall trend test was used to assess mean annual rainfall and temperature trends from 2002 to 2022. The relative importance index (RII) value was used to rank the climatic and non-climatic factors perceived by respondents. The socioeconomic characteristics affecting smallholder farmers’ perceptions of climatic and non-climatic factors were evaluated by the binary logistic regression model. Results showed that mean annual rainfall decreased (P>0.05) but mean annual temperature significantly increased (P<0.05) from 2002 to 2022 in the district. The key climatic factors perceived by smallholder farmers were extreme heat or increasing temperature (RII=0.498), erratic rainfall (RII=0.485), and increased windstorms (RII=0.475). The critical non-climatic factors were high cost of farm inputs (RII=0.485), high cost of healthcare (RII=0.435), and poor condition of roads to farms (RII=0.415). Smallholder farmers’ perceptions of climatic and non-climatic factors were significantly affected by their socioeconomic characteristics (P<0.05). This study concluded that these factors negatively impact the livelihoods and well-being of smallholder farmers and socioeconomic characteristics influence their perceptions of these factors. Therefore, to enhance the resilience of smallholder farmers to climate change, it is necessary to adopt a comprehensive and context-specific approach that accounts for climatic and non-climatic factors.

加纳阿哈福阿诺北区的小农面临多种气候和非气候问题。本研究通过对 200 名受访者进行家庭调查和对 10 名受访者进行焦点小组讨论，评估了导致该地区小农生计脆弱性的因素。Mann-Kendall 趋势检验用于评估 2002 年至 2022 年的年平均降雨量和气温趋势。采用相对重要性指数 (RII) 值对受访者认为的气候和非气候因素进行排序。二元逻辑回归模型评估了影响小农对气候和非气候因素看法的社会经济特征。结果表明，从 2002 年到 2022 年，该地区的年平均降雨量有所下降（P>0.05），但年平均气温显著上升（P<0.05）。小农户认为的关键气候因素是极端高温或气温升高（RII=0.498）、降雨量不稳定（RII=0.485）和风灾增加（RII=0.475）。关键的非气候因素是农业投入成本高（RII=0.485）、医疗费用高（RII=0.435）和通往农场的道路状况差（RII=0.415）。小农对气候和非气候因素的看法受到其社会经济特征的显著影响（P<0.05）。本研究得出结论，这些因素对小农的生计和福祉产生了负面影响，而社会经济特征影响了他们对这些因素的看法。因此，为了提高小农对气候变化的适应能力，有必要采取一种全面的、针对具体情况的方法，考虑气候和非气候因素。

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引用次数: 0

Assessing the impact of climate change on agricultural production in central Afghanistan 评估气候变化对阿富汗中部农业生产的影响

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100156

Homayoon Raoufi , Hamidreza Jafari , Wakil Ahmad Sarhadi , Esmail Salehi

Afghanistan has faced extreme climatic crises such as drought, rising temperature, and scarce precipitation, and these crises will likely worsen in the future. Reduction in crop yield can affect food security in Afghanistan, where the majority of population and economy are completely dependent on agriculture. This study assessed the interaction between climate change and crop yield in Kabul of Afghanistan during the reference (1990–2020) and future (2025–2100) periods. Climate data (1990–2020) were collected from four meteorological stations and three local organizations, and wheat yield data (1990–2020) were acquired from the United States Agriculture Department. Data during the reference period (1990–2020) were used for the validation and calibration of the statistical downscaling models such as the Statistical Downscaling Model (SDSM) and Long Ashton Research Station Weather Generator (LARS-WG). Furthermore, the auto-regression model was used for trend analysis. The results showed that an increase in the average annual temperature of 2.15°C, 2.89°C, and 4.13°C will lead to a reduction in the wheat yield of 9.14%, 10.20%, and 12.00% under Representative Concentration Pathway (RCP)2.6, RCP4.5, and RCP8.5 during the future period (2025–2100), respectively. Moreover, an increase in the annual maximum temperature of 1.79°C, 2.48°C, and 3.74°C also causes a significant reduction in the wheat yield of 2.60%, 3.60%, and 10.50% under RCP2.6, RCP4.5, and RCP8.5, respectively. Furthermore, an increase in the annual minimum temperature of 2.98°C, 2.23°C, and 4.30°C can result in an increase in the wheat yield of 6.50%, 4.80%, and 9.30% under RCP2.6, RCP4.5, and RCP8.5, respectively. According to the SDSM, the decrease of the average monthly precipitation of 4.34%, 4.10%, and 5.13% results in a decrease in the wheat yield of 2.60%, 2.36%, and 3.18% under RCP2.6, RCP4.5, and RCP8.5, respectively. This study suggests that adaptation strategies can be applied to minimize the consequences of climate change on agricultural production.

阿富汗一直面临着干旱、气温升高和降水稀少等极端气候危机，这些危机在未来很可能会进一步恶化。作物减产会影响阿富汗的粮食安全，因为阿富汗的大部分人口和经济完全依赖农业。本研究评估了阿富汗喀布尔在基准期（1990-2020 年）和未来（2025-2100 年）气候变化与作物产量之间的相互作用。气候数据（1990-2020 年）来自四个气象站和三个地方组织，小麦产量数据（1990-2020 年）来自美国农业部。参考期（1990-2020 年）的数据用于统计降尺度模型（SDSM）和长阿什顿研究站天气生成器（LARS-WG）等统计降尺度模型的验证和校准。此外，自动回归模型还用于趋势分析。结果表明，在代表浓度途径（RCP）2.6、RCP4.5 和 RCP8.5 下，年平均气温上升 2.15°C、2.89°C 和 4.13°C 将导致未来（2025-2100 年）小麦产量分别减少 9.14%、10.20% 和 12.00%。此外，在 RCP2.6、RCP4.5 和 RCP8.5 条件下，年最高气温分别升高 1.79°C、2.48°C 和 3.74°C 也会导致小麦产量分别显著减少 2.60%、3.60% 和 10.50%。此外，在 RCP2.6、RCP4.5 和 RCP8.5 条件下，年最低气温上升 2.98°C、2.23°C 和 4.30°C 可使小麦产量分别增加 6.50%、4.80% 和 9.30%。根据 SDSM，在 RCP2.6、RCP4.5 和 RCP8.5 条件下，月平均降水量分别减少 4.34%、4.10% 和 5.13%，导致小麦产量分别减少 2.60%、2.36% 和 3.18%。这项研究表明，可以采用适应战略将气候变化对农业生产的影响降至最低。

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引用次数: 0

Employment and development levels in rural areas of the Russian Federation 俄罗斯联邦农村地区的就业和发展水平

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100164

Guzel Salimova , Gulnara Nigmatullina , Gamir Habirov , Alisa Ableeva , Rasul Gusmanov

The development of agro-industrial complex is important for ensuring national food security and national health. The development of rural areas is subject to the development of agriculture and local infrastructure, as well as the availability of various services. This study selected 15 indicators in 2021 to analyze the employment and development levels in rural areas of 71 regions of the Russian Federation using the analytical grouping method. The results indicated that 20 regions (Group 1) had the highest percentage of rural population (33.10%). The percentage of population engaged in agriculture had the highest value (12.40%) in 31 regions (Group 2). Moreover, 20 regions (Group 3) had the highest investments in fixed assets at the expense of municipal budget (11.80 USD/person). Increasing the investments in fixed assets carried out from the budget of the municipality can improve the employment level in rural areas. Then, we used cluster analysis to divide 14 regions of the Volga Federal District in the Russian Federation into 3 clusters. Cluster 1 covered Kirov Region and Republic of Mari El; Cluster 2 included Ulyanovsk Region, Saratov Region, Nizhny Novgorod Region, Perm Territory, Orenburg Region, Chuvash Region, and Republic of Mordovia; and Cluster 3 contained Republic of Tatarstan, Samara Region, Udmurtian Republic, Penza Region, and Republic of Bashkortostan. Results indicated that the 2 regions of Cluster 1 need to increase the availability of resources and natural gas and improve the investment attractiveness of rural areas. The 7 regions of Cluster 2 needed to develop infrastructure, public services, and agricultural production. We found the highest employment level in rural areas, the largest investments in fixed assets at the expense of municipal budget, the largest residential building area per 10,000 persons, and the largest individual residential building area in the 5 regions of Cluster 3. This study makes it possible to draw up a comprehensive regional development program and proves the need for the development of rural areas, which is especially important for the sustainable development of the Russian Federation.

发展农工综合体对于确保国家粮食安全和国民健康非常重要。农村地区的发展取决于农业和当地基础设施的发展以及各种服务的提供。本研究选取了 2021 年的 15 项指标，采用分析分组法对俄罗斯联邦 71 个地区的农村地区就业和发展水平进行了分析。结果表明，20 个地区（第 1 组）的农村人口比例最高（33.10%）。在 31 个地区（第 2 组）中，从事农业的人口比例最高（12.40%）。此外，20 个地区（第 3 组）的市政预算固定资产投资最高（11.80 美元/人）。增加市政预算中的固定资产投资可以提高农村地区的就业水平。然后，我们利用聚类分析将俄罗斯联邦伏尔加河沿岸联邦区的 14 个地区划分为 3 个聚类。第 1 组包括基洛夫州和马里埃尔共和国；第 2 组包括乌里扬诺夫斯克州、萨拉托夫州、下诺夫哥罗德州、彼尔姆边疆区、奥伦堡州、楚瓦什州和莫尔多维亚共和国；第 3 组包括鞑靼斯坦共和国、萨马拉州、乌德穆尔共和国、奔萨州和巴什科尔托斯坦共和国。结果表明，第 1 组的 2 个地区需要增加资源和天然气的供应，提高农村地区的投资吸引力。第 2 组的 7 个地区需要发展基础设施、公共服务和农业生产。我们发现，在第 3 组的 5 个地区中，农村地区的就业水平最高，由市政预算支出的固定资产投资最大，每万人住宅建筑面积最大，个人住宅建筑面积最大。这项研究为制定全面的地区发展计划提供了可能，并证明了农村地区发展的必要性，这对俄罗斯联邦的可持续发展尤为重要。

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引用次数: 0

Green transformation paths of resource-based cities in China from the configuration perspective 从配置角度看中国资源型城市的绿色转型之路

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100158

Qunxi Gong

Green transformation is an unavoidable choice for resource-based cities (RBCs) that face resource depletion and environmental pollution. Existing research has focused primarily on specific RBCs, making it challenging to apply green transformation strategies universally across cities. The fuzzy set qualitative comparative analysis (fsQCA) is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome. Thus, to address this gap, in this study, we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China. By incorporating the element of time, this study explored the dynamic evolution of solutions in 2013, 2016, and 2019. The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency (GTE), and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs. Green transformation paths of RBCs exhibit the same destination through different paths. Additionally, the combination of system environment elements and system structure elements is both complementary and alternative. Differences in RBCs have led to various factor combinations and development paths, but there are some similarities in the key elements of the factor combinations at different stages. Economic environment, government support, and technological innovation are key factors that universally enhance the GTE in RBCs. These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.

对于面临资源枯竭和环境污染的资源型城市（RBCs）来说，绿色转型是一个不可回避的选择。现有的研究主要集中在特定的资源型城市，因此在城市中普遍应用绿色转型战略具有挑战性。模糊集定性比较分析（fsQCA）是定性分析和定量分析的结合，可以处理多种并发因果关系问题，并确定不同条件如何组合成配置并产生结果。因此，为了弥补这一不足，本研究建立了绿色转型研究框架，并利用 fsQCA 对中国 113 个区域生物多样性中心的配置进行了研究。通过融入时间元素，本研究探讨了 2013 年、2016 年和 2019 年解决方案的动态演变。主要研究结果表明，单个要素并不构成提高绿色转型效率（GTE）的必要条件，多种条件的系统组合是实现 RBC 绿色转型效率提高的有效路径。RBC 的绿色转化路径通过不同的路径表现出相同的目的地。此外，系统环境要素和系统结构要素的组合既有互补性，又有替代性。区域性生物多样性中心的差异导致了不同的要素组合和发展路径，但不同阶段要素组合的关键要素存在一定的相似性。经济环境、政府支持和技术创新是普遍提高区域商业中心全球贸易效率的关键因素。这些见解有助于城市管理者制定推动绿色转型的政策，并有助于从理论上更好地理解区域商业中心区的绿色转型路径。

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引用次数: 0

What are the underlying causes and dynamics of land use conflicts in metropolitan junction areas? A case study of the central Chengdu– Chongqing region in China 大都市交界地区土地利用冲突的根本原因和动态是什么？中国成渝中部地区案例研究

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100161

Tian Junfeng , Wang Binyan , Qiu Cheng , Wang Shijun

Land use conflicts (LUCs), as a spatial manifestation of the conflicts in the human-land relationships, have a profound impact on regional sustainable development. For China’s metropolitan junction areas (MJAs), the existence of “administrative district economies” has made the issue of LUCs more prominent. Based on a case study of the central Chengdu–Chongqing region, we conducted an exploratory spatial data analysis of the evolutionary process of regional LUCs. Furthermore, structural equation modeling was utilized to analyze the dynamic mechanism of LUCs in MJAs, with a particular emphasis on exploring the influences of administrative boundary. The results showed that from 2010 to 2020, LUCs in the central Chengdu–Chongqing region continued to worsen, and the spatial process conflict and spatial structure conflict indices increased by more than 30.0%. The intensification of LUCs in the central Chengdu–Chongqing region from 2010 to 2020 was mainly the result of the deterioration of conflicts in evaluation units with low conflict levels. LUCs in China’s metropolitan areas generally presented a circular gradient distribution, weakening from the core to the periphery, but there were some strong isolated conflict zones in the outer regions. LUCs in China’s MJAs were the result of interactions among multiple factors, e.g., natural environment, socio-economic development, policy and institutional processes, and administrative boundary effects. Administrative boundary affected the flow of socio-economic elements, changing the supply-and-demand competition of stakeholders for land resources, consequently exerting an indirect influence on LUCs. This study advances the theory of the dynamic mechanism of LUCs, and provides theoretical support for the governance of these conflicts in transboundary areas.

土地利用矛盾作为人地关系矛盾的空间表现形式，对区域可持续发展影响深远。对于中国的大都市交界地区而言，"行政区经济 "的存在使土地利用矛盾问题更加突出。基于成渝中部地区的案例研究，我们对区域土地利用变化的演化过程进行了探索性空间数据分析。此外，我们还利用结构方程模型分析了成渝地区土地利用变化的动态机制，并重点探讨了行政边界的影响因素。结果表明，从 2010 年到 2020 年，成渝中部地区的土地利用变化持续恶化，空间过程冲突指数和空间结构冲突指数上升了 30.0%以上。2010-2020年成渝中部地区土地利用变化加剧的主要原因是冲突水平较低的评价单元的冲突恶化。中国大都市圈的土地利用变化总体上呈环状梯度分布，由核心向外围减弱，但在外围地区存在一些较强的孤立冲突区。中国大都市区的土地利用变化是多种因素相互作用的结果，如自然环境、社会经济发展、政策和制度进程以及行政边界效应。行政边界影响了社会经济要素的流动，改变了利益相关者对土地资源的供需竞争，从而间接影响了土地利用变化。本研究推动了土地利用变化动态机制理论的发展，为跨界地区冲突治理提供了理论支持。

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引用次数: 0

Spatiotemporal evolution and influencing factors of urban resilience in the Yellow River Basin, China 中国黄河流域城市复原力的时空演变及其影响因素

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100159

Xiaomei Ji , Zhilei Nie , Kaiyong Wang , Mingxian Xu , Yuhao Fang

The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment. Industrialization and urbanization promote social-economic development, but they also have generated a series of environmental and ecological issues in this basin. Previous researches have evaluated urban resilience at the national, regional, urban agglomeration, city, and prefecture levels, but not at the watershed level. To address this research gap and elevate the Yellow River Basin’s urban resilience level, we constructed an urban resilience evaluation index system from five dimensions: industrial resilience, social resilience, environmental resilience, technological resilience, and organizational resilience. The entropy weight method was used to comprehensively evaluate urban resilience in the Yellow River Basin. The exploratory spatial data analysis method was employed to study the spatiotemporal differences in urban resilience in the Yellow River Basin in 2010, 2015, and 2020. Furthermore, the grey correlation analysis method was utilized to explore the influencing factors of these differences. The results of this study are as follows: (1) the overall level of urban resilience in the Yellow River Basin was relatively low but showed an increasing trend during 2010–2015, and significant spatial distribution differences were observed, with a higher resilience level in the eastern region and a low-medium resilience level in the western region; (2) the differences in urban resilience were noticeable, with industrial resilience and social resilience being relatively highly developed, whereas organizational resilience and environmental resilience were relatively weak; and (3) the correlation ranking of resilience influencing factors was as follows: science and technology level>administrative power>openness>market forces. This research can provide a basis for improving the resilience level of cities in the Yellow River Basin and contribute to the high-quality development of the region.

中国黄河流域是人类活动与自然环境相互作用的重要区域。工业化和城市化在促进社会经济发展的同时，也给流域带来了一系列环境和生态问题。以往的研究已在国家、区域、城市群、城市和县级层面对城市复原力进行了评估，但未在流域层面进行评估。为弥补这一研究空白，提升黄河流域城市韧性水平，我们从产业韧性、社会韧性、环境韧性、技术韧性和组织韧性五个维度构建了城市韧性评价指标体系。采用熵权法对黄河流域城市韧性进行综合评价。采用探索性空间数据分析方法，研究了 2010 年、2015 年和 2020 年黄河流域城市韧性的时空差异。此外，还利用灰色关联分析方法探讨了这些差异的影响因素。研究结果如下(1）2010-2015 年黄河流域城市韧性总体水平较低，但呈上升趋势，空间分布差异显著，东部地区韧性水平较高，西部地区韧性水平处于中低水平；（2）城市韧性差异明显，产业韧性和社会韧性相对较高，而组织韧性和环境韧性相对较弱；（3）韧性影响因素的相关性排序如下：科技水平>行政力量>开放程度>市场力量。本研究可为提高黄河流域城市的抗逆力水平提供依据，为该地区的高质量发展做出贡献。

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引用次数: 0

Preserving environmental quality of ecotourism sites through community participation in Purulia District of West Bengal, India 印度西孟加拉邦普鲁利亚地区通过社区参与保护生态旅游景点的环境质量

Q1 Social Sciences

Regional Sustainability

Pub Date : 2024-09-01 DOI: 10.1016/j.regsus.2024.100163

Piyall Chatterjee, Soumyendra Kishore Datta

The importance of valuing environmental resources, especially in ecotourism sites, has become increasingly important over the last two decades. Ecotourism is now considered as an important source of livelihood of local stakeholders in backward regions. Therefore, the preservation of ecotourism sites through community participation seems very important to maintain continued flow of tourists. This study aimed at recognizing the importance of community participation for the preservation of ecotourism sites. For this, this study executed a survey based on non-probability sampling in two ecotourism sites (Garpanchkot and Baranti) covering 100 respondents in Purulia District, West Bengal of India. The central issue of this study was to assess the tendency of community participation for the conservation of ecotourism sites and find the optimum condition for offering participatory labour time. This study showed that the participation of young people is high, and the majority of respondents are aware of the importance in protecting ecotourism sites. Because respondents were too poor to offer money, the contingent valuation method (CVM) was used to elicit their willingness to pay (WTP) participatory labour time for the conservation of ecotourism sites. Respondents’ age, income, education level, caste, and their perceived environmental quality had significant relationship with their WTP participatory labour time by applying the ordinary least square (OLS) model. It was found that the mean WTP participatory labour time of each respondent in a month is approximately 3.64 h. The significance of this study is that community participation can improve the sense of belonging, trust, and credibility of ecotourism sites, making them more appreciative of the value and protection of these sites.

在过去二十年里，对环境资源，尤其是生态旅游景点的环境资源进行估值的重要性日益凸显。生态旅游现在已被视为落后地区当地利益相关者的重要生计来源。因此，通过社区参与来保护生态旅游景点，对于保持游客的持续流量似乎非常重要。本研究旨在认识到社区参与对保护生态旅游景点的重要性。为此，本研究在印度西孟加拉邦普鲁利亚地区的两个生态旅游景点（Garpanchkot 和 Baranti）进行了非概率抽样调查，覆盖 100 名受访者。这项研究的核心问题是评估社区参与生态旅游景点保护的趋势，并找到提供参与性劳动时间的最佳条件。研究表明，年轻人的参与度很高，大多数受访者都意识到保护生态旅游景点的重要性。由于受访者太穷，无法提供金钱，因此采用了或然估价法（CVM）来了解他们为保护生态旅游景点而支付参与性劳动时间的意愿（WTP）。通过应用普通最小二乘法（OLS）模型，受访者的年龄、收入、教育水平、种姓以及对环境质量的认知与他们的 WTP 参与性劳动时间有显著关系。本研究的意义在于，社区参与可以提高受访者对生态旅游景点的归属感、信任感和可信度，使他们更加重视这些景点的价值和保护。

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引用次数: 0