Environmental and Sustainability Indicators最新文献_第4页

Decoupling effects and driving factors of economic development and resource environment in arid areas: Evidence from Xinjiang, China 干旱区经济发展与资源环境的脱钩效应及驱动因素——来自新疆的证据

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-18 DOI: 10.1016/j.indic.2025.101096

Beizi Chen , Haijun Liu , Junai Zhang , Yisha Ma , Haijun Yang

The economic development of a region is contingent upon the availability of resources and the state of the environment. The exploration of the asset value of resources, the adjustment of the coordination between economic development and resource-environmental sustainability, and the promotion of regional human-land harmony are of vital theoretical and practical significance for achieving high-quality development and ecological sustainability. The present study examines the Xinjiang region, analysing the overall characteristics and spatio-temporal evolution of regional ED and RE from 2001 to 2022. The Tapio decoupling elasticity model is utilised to evaluate the decoupling status between ED and RE. This is complemented by spatial autocorrelation and centre of gravity-standard deviation ellipse analyses, which are employed to explore their spatial evolution. Furthermore, Tobit regression is employed to identify the key driving factors. The findings indicate a substantial "Matthew effect" in the patterns of regional economic development. The bivariate spatial relationship between ED and RE has transitioned from a negative correlation to a positive correlation. The decoupling states are predominantly comprised of weak decoupling, strong negative decoupling, and strong decoupling, with developmental modes transitioning from developmental retardation to intensive expansion type. It is evident that factors such as economic level and technological innovation have a significant positive effect on the decoupling between ED and RE. The findings of this study provide theoretical support and empirical evidence for regional sustainable development under resource and environmental constraints in arid oasis areas.

一个地区的经济发展取决于资源的可得性和环境状况。探索资源的资产价值，调整经济发展与资源环境可持续性的协调性，促进区域人地和谐，对实现高质量发展和生态可持续性具有重要的理论和现实意义。本文以新疆地区为研究对象，分析了2001 - 2022年区域ED和RE的总体特征及其时空演变。本文采用Tapio解耦弹性模型来评估ED与RE之间的解耦状态，并辅以空间自相关分析和重心-标准差椭圆分析来探讨二者的空间演化。此外，采用Tobit回归识别关键驱动因素。研究结果表明，区域经济发展模式存在显著的“马太效应”。两者的二元空间关系由负相关向正相关转变。脱钩状态以弱脱钩、强负脱钩和强脱钩为主，发展方式由发展迟缓型向集约扩张型转变。经济水平和技术创新等因素对生态环境与可再生能源的脱钩具有显著的正向影响。研究结果为干旱绿洲区资源环境约束下的区域可持续发展提供了理论支持和实证依据。

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引用次数: 0

Understanding the drivers of water consumption patterns in Europe: A cross-sectional study of household water choices in Barcelona, Cyprus, and Ireland 了解欧洲水消费模式的驱动因素：巴塞罗那、塞浦路斯和爱尔兰家庭用水选择的横断面研究

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-18 DOI: 10.1016/j.indic.2025.101099

Bozidarka Prole , Valerie McCarthy , Vasiliki G. Beretsou , Maria Karekla , Despo Fatta-Kassinos , Carolina Donat-Vargas , Miquel Vallbona-Vistós , Maria José Farré , Cristina M. Villanueva

Bottled water consumption has sharply increased worldwide. However, systematic international knowledge about different water consumption habits and underlying factors is limited. We describe drinking water habits and tap water perception in Barcelona (Spain), various cities in Cyprus and Ireland and evaluate the association with socio-demographics and lifestyle markers to identify key determinants of water consumption choice. A cross-sectional study (N = 1944) was conducted in 2023–2024 to ascertain data on socio-demographics, lifestyle markers, type of water consumed (tap, bottled, filtered, other), and tap water perception in a representative sample. We used multivariate logistic regression to estimate the association between the type of water consumed at home adjusting for socio-demographics, lifestyle markers, and tap water perception. Median age of participants ranged from 38/39 (Cyprus/Ireland) to 45 years (Barcelona), with 50–53 % women. Bottled water was consumed to drink at home (and outside home) among 56 % participants (80 %) in Barcelona, 41 % (85 %) in Cyprus and 35 % (66 %) in Ireland. The most frequent water to cook was unfiltered tap water in Barcelona (57 %) and Ireland (50 %), and filtered tap water in Cyprus (43 %). Tap water perception differed between study areas, with Cyprus showing the worst perception in most of the dimensions. Drinking water consumed at home was consistently associated with tap water perception in all study areas. Age, education, ethnicity, or household size were associated in some instances, with no consistent pattern across countries. Water consumption habits are influenced by a complex interplay of subjective factors and context-specific factors that should be considered in future actions to effectively influence consumer's behavior given the environmental costs of bottled water use.

瓶装水的消费量在世界范围内急剧增加。然而，关于不同的用水习惯及其潜在因素的系统的国际知识是有限的。我们描述了巴塞罗那（西班牙）、塞浦路斯和爱尔兰各城市的饮用水习惯和自来水感知，并评估了与社会人口统计学和生活方式标记的关联，以确定水消费选择的关键决定因素。在2023-2024年进行了一项横断面研究（N = 1944），以确定代表性样本中的社会人口统计学数据，生活方式标记，消耗的水类型（自来水，瓶装水，过滤水，其他）和自来水感知。我们使用多元逻辑回归来估计家庭用水类型与社会人口统计学、生活方式标记和自来水感知之间的关联。参与者的中位年龄范围从38/39岁（塞浦路斯/爱尔兰）到45岁（巴塞罗那），其中50 - 53%为女性。在巴塞罗那，56%的参与者（80%）、41%的参与者（85%）和35%的参与者（66%）在家（和在家外）饮用瓶装水。最常用于烹饪的水是巴塞罗那（57%）和爱尔兰（50%）的未经过滤的自来水，以及塞浦路斯（43%）的过滤自来水。不同的研究区域对自来水的感觉不同，塞浦路斯在大多数方面的感觉都最差。在所有研究区域，在家饮用的饮用水始终与自来水的感知有关。在某些情况下，年龄、教育程度、种族或家庭规模与此相关，但在各国之间没有一致的模式。水的消费习惯受到主观因素和具体环境因素的复杂相互作用的影响，考虑到使用瓶装水的环境成本，未来采取行动有效影响消费者行为时应考虑到这些因素。

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引用次数: 0

Integrated Assessment of Environmental Sustainability and Urban Green Space Suitability using PCA-AHP with Zonal Prioritization: A Remote Sensing and GIS approach 基于区域优先级PCA-AHP的环境可持续性和城市绿地适宜性综合评价：遥感和GIS方法

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-18 DOI: 10.1016/j.indic.2025.101093

Sajid Ibne Jamalfaisal , Md. Tahsinur Rahman , Sayed Abu Johany , Mohammad Ismail , Md Sabit Mia , Sabiha Zaman Tithi , Md. Mahmudul Hasan

Rapid urbanization in Dhaka, Bangladesh, has degraded environmental sustainability (ES) and reduced urban green space (UGS). This study aims to provide a novel geospatial framework by integrating the principal component analysis (PCA) to assess ES and analytical hierarchy process (AHP) to identify suitable zones for UGS development with zonal prioritization analysis (ZPA). Five major remote sensing indices: land surface temperature (LST), normalized difference vegetation index (NDVI), water index (NDWI), built-up index (NDBI), and bareness index (NDBaI) and eleven factors: land use land cover change (LULC), population density, precipitation, elevation, distance from rivers, NO₂, slope, distance from roads and soil type along with LST and NDVI were analyzed to evaluate ES and UGS suitability, respectively. PCA revealed NDVI (32.19 %) as the most influential factors and covered 84.59 % of the total variance. Moreover, the ES assessment classified 39.13 %, 32.58 %, and 25.32 % of the study area as moderately, highly and lowly sustainable, respectively. The AHP results identified LST (22.58 %) as the most crucial parameters for UGS suitability detection, with a consistency ratio of 0.0624 (<0.1). UGS suitability analysis classified 57.47 % and 40.13 % areas as moderately suitable and suitable, respectively. Furthermore, ZPA identified that 85.48 % of the land within environmentally unsustainable zones presented moderate potential for UGS development. The findings of this research may provide essential guidance for policymakers and urban planners by identifying priority zones where targeted UGS expansion can reduce heat stress, support environmental restoration, and promote evidence-based green infrastructure planning aligned with the Sustainable Development Goals (SDGs).

孟加拉国达卡的快速城市化导致环境可持续性（ES）下降，城市绿地（UGS）减少。本研究将主成分分析（PCA）与层次分析法（AHP）相结合，结合区域优先级分析（ZPA），提供一个新的地理空间框架，以确定适合UGS发展的区域。分析了地表温度（LST）、归一化植被指数（NDVI）、水分指数（NDWI）、建筑指数（NDBI）、光秃度指数（NDBaI） 5个主要遥感指标和土地利用、土地覆盖变化（LULC）、人口密度、降水、高程、离河距离、NO2、坡度、离路距离、土壤类型等11个因子以及LST和NDVI，分别评价了ES和UGS的适宜性。主成分分析显示NDVI（32.19%）是最重要的影响因子，占总方差的84.59%。ES评价将研究区划分为中度可持续、高度可持续和低可持续的比例分别为39.13%、32.58%和25.32%。AHP结果表明，地表温度（22.58%）是UGS适宜性检测的最关键参数，一致性比为0.0624 （<0.1）。UGS适宜性分析将57.47%和40.13%的地区划分为中度适宜和适宜。此外，ZPA还发现，在环境不可持续区域内，85.48%的土地具有UGS发展的中等潜力。研究结果可以为政策制定者和城市规划者提供重要指导，确定有针对性的UGS扩展优先区域，以减少热应激，支持环境恢复，并促进符合可持续发展目标（SDGs）的循证绿色基础设施规划。

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引用次数: 0

Identification of ecosystem service bundles and social-ecological driving factors in the Poyang Lake Basin, China 鄱阳湖流域生态系统服务包及其社会生态驱动因子分析

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-17 DOI: 10.1016/j.indic.2025.101095

Yiming Wang , Zengxin Zhang , Xi Chen

A comprehensive understanding of the relationships between ecosystem services (ESs) and their social-ecological driving factors is the foundation for sustainable ecosystem management. Taking the Poyang Lake basin as the study area, this study first evaluated and mapped six ESs, namely carbon storage (CS), habitat quality (HQ), water yield (WY), water purification (WP), soil conservation (SC), and food production (FP). Then, the Spearman correlation was used to explore the relationships between ESs, and the Self-organizing map (SOM) was used to explore ecosystem service bundles (ESBs). Finally, the geographical detector was used to quantify the impacts of social-ecological drivers on ESs. The results showed that: (1) Strong Synergies were observed among regulation services (WP, SC, and CS) and supporting services (HQ) (e.g., WP-HQ: r = 0.91). Meanwhile, a synergy was found between provisioning services (WY and FP). In contrast, pronounced trade-offs existed between provisioning services and regulation services (WP, SC, and CS) or supporting services (HQ) (e.g., FP-WP: r = −0.90), except for the relationship between WY and SC. (2) WY, SC, and CS are dominated by climatic factors, terrain factors, and socioeconomic factors, respectively. WP, HQ, and FP are dominated by socioeconomic factors and terrain factors. (3) The basin can be clustered into six ESBs, and we proposed targeted ecosystem management strategies for each ESB based on their characteristics. This study provides scientific references for the management and optimization of ecosystems in the Poyang Lake basin.

全面了解生态系统服务及其社会生态驱动因子之间的关系是生态系统可持续管理的基础。本研究以鄱阳湖流域为研究区，首先对碳储量（CS）、生境质量（HQ）、产水量（WY）、水净化（WP）、土壤保持（SC）和粮食生产（FP） 6个ESs进行了评价和制图。利用Spearman相关分析生态系统服务之间的关系，利用自组织图（SOM）分析生态系统服务束（esb）之间的关系。最后，利用地理探测器量化社会生态驱动因素对ESs的影响。结果表明：(1)监管服务（WP、SC和CS）与支持服务（HQ）之间存在较强的协同效应（如WP-HQ: r = 0.91）。同时，在供应服务（WY和FP）之间发现了协同作用。相比之下，提供服务与调节服务（WP、SC和CS）或支持服务（HQ）（如FP-WP: r = - 0.90）之间存在明显的权衡，但WY与SC之间的关系除外。(2)WY、SC和CS分别受气候因素、地形因素和社会经济因素的支配。WP、HQ和FP主要受社会经济因素和地形因素的影响。(3)将流域划分为6个ESB，并根据每个ESB的特点提出了针对性的生态系统管理策略。本研究为鄱阳湖流域生态系统的管理与优化提供了科学参考。

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引用次数: 0

Research on the spatiotemporal differentiation and influencing factors of green energy efficiency: Empirical evidence from China 绿色能源效率时空分异及影响因素研究——来自中国的经验证据

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-17 DOI: 10.1016/j.indic.2025.101094

Yahui Chen, Xuelin Deng, Bingteng Sun

China's focus on rapid growth has intensified environmental degradation, such as pollution and rising carbon emissions. Improving green energy efficiency supports sustainable development by spurring innovation and reducing carbon outputs. In order to achieve high-quality synergistic growth of the local ecology and environment, this paper aims to address the issue of sustainable development of China's ecological economy. Based on the non-expected output super-efficiency Slacks-Based Measure (SBM) model, the green energy efficiency of 30 provinces in China was calculated using MATLAB software. With the support of Stata and ArcGIS software, the spatiotemporal differences and evolutionary characteristics of green energy efficiency were examined. Furthermore, a fixed‑effects model was constructed to objectively identify the main influencing factors of green energy efficiency. According to research results, the overall efficiency of green energy in China is gradually declining, and high efficient provinces are clearly shifting towards the eastern coastal areas. The green energy efficiency in the central region has improved, and the gap with the eastern region has steadily narrowed. The green energy efficiency of various provinces in China shows significant spatial correlation, with the majority occurring in high-high agglomeration areas and low-low agglomeration areas. In terms of influencing factors, green energy efficiency is negatively correlated with population density, energy consumption structure, and government policies. It is positively correlated with the level of urbanization, openness, and technological innovation.

中国对快速增长的关注加剧了环境恶化，如污染和碳排放增加。提高绿色能源效率可以刺激创新，减少碳排放，从而支持可持续发展。为了实现当地生态环境的高质量协同增长，本文旨在解决中国生态经济的可持续发展问题。基于非预期产出超效率slack -Based测度（SBM）模型，利用MATLAB软件对中国30个省份的绿色能源效率进行了计算。在Stata和ArcGIS软件的支持下，分析了绿色能源效率的时空差异及其演化特征。在此基础上，构建了固定效应模型，客观识别绿色能源效率的主要影响因素。研究结果显示，中国绿色能源整体效率呈逐步下降趋势，高效省份向东部沿海地区转移明显。中部地区绿色能源利用效率提高，与东部地区的差距稳步缩小。中国各省绿色能源效率的空间相关性显著，且以高集聚区和低低集聚区居多。在影响因素方面，绿色能源效率与人口密度、能源消费结构和政府政策呈负相关。与城镇化水平、对外开放水平、技术创新水平呈正相关。

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引用次数: 0

Evolution characteristics of China's marine tourism resilience and diagnosis of the obstacle factors 中国海洋旅游弹性演化特征及障碍因素诊断

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-15 DOI: 10.1016/j.indic.2025.101090

Lan Xing , Simeng Zhang

Marine tourism is one of the pillar industries of marine economy, and the healthy development of marine tourism is an important guarantee for the sustainable development of marine economy. However, previous research focusing on tourism of coastal cities limits the highlight of maritime characteristics, causing the difficulty to distinguish marine tourism from overall tourism of coastal cities. Based on the panel data of 51 coastal cities in China from 2010 to 2021, this paper constructs marine tourism index (MTI) and index system of marine tourism resilience (MTR) measured by AHP-EW-TOPSIS method. Dagum Gini coefficient,

β

convergence model and obstacle degree model are used to examine regional differences, development trends and the main obstacle factors affecting MTR of China. Results showed that: (1) China's MTR shows an increasing trend from 2010 to 2019. With the outbreak of COVID-19, it decreases significantly in 2020 but recovers to some degree in 2021. Among them, Eastern coastal areas in China shows the highest MTR; (2) Regional difference of MTR shows a fluctuating upward trend from 2010 to 2019, and a cliff-like decline after the epidemic in 2020, where hypervariable density is the main source of the overall difference; (3) China's MTR in overall and sub-regional coastal areas has both absolute and conditional β convergence trend, and the convergence speed shows “Northern coastal areas > Eastern coastal areas > overall coastal areas > Southern coastal areas”; (4) The main obstacles to the improvement of China's MTR are stable, including adjustment ability of marine tourism market, resistance ability of marine tourism industry environment, resistance ability of marine tourism resources, renewal ability of innovation investment of coastal cities and renewal ability of reorganization in coastal cities. From the perspective of subdimension, demand resilience is the main weakness. Based on these new insights, particular attention should be paid to the evolution of China's MTR, the formulation of regional coordinated development policies, and the elimination of main obstacles, in order to put forward countermeasures and suggestions for the steady and sustainable development of China's marine tourism.

海洋旅游是海洋经济的支柱产业之一，海洋旅游的健康发展是海洋经济可持续发展的重要保障。然而，以往对沿海城市旅游的研究限制了海洋特色的突出，难以将海洋旅游与沿海城市的整体旅游区分开来。基于2010 - 2021年中国51个沿海城市的面板数据，构建了海洋旅游指数（MTI）和采用ahp - eww - topsis方法测度的海洋旅游弹性指数（MTR）指标体系。运用Dagum基尼系数、β收敛模型和障碍度模型分析了中国铁路运输的区域差异、发展趋势和主要障碍因素。结果表明：(1)2010 - 2019年，中国地铁总体呈上升趋势。随着新冠肺炎疫情的爆发，2020年明显下降，2021年有所回升。其中，东部沿海地区MTR最高；(2) 2010 - 2019年MTR区域差异呈波动上升趋势，2020年疫情后呈断崖式下降，其中高变密度是整体差异的主要来源；(3)中国沿海整体和分区域的MTR具有绝对和条件β趋同趋势，趋同速度表现为“北部沿海>；东部沿海>；整体沿海>；南部沿海”；④中国地铁提升的主要障碍是稳定的，包括海洋旅游市场的调节能力、海洋旅游产业环境的抵抗能力、海洋旅游资源的抵抗能力、沿海城市创新投资的更新能力和沿海城市重组的更新能力。从子维度来看，需求弹性是主要的软肋。基于这些新认识，应特别关注中国地铁的演变、区域协调发展政策的制定、主要障碍的消除等问题，为中国海洋旅游的稳定可持续发展提出对策建议。

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引用次数: 0

Explaining air pollution exceedance days through land use densities 透过土地使用密度解释空气污染超标天数

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-15 DOI: 10.1016/j.indic.2025.101087

Mohsen RoohaniQadikolaei , Ali Soltani , Sara Nikmard Namin , Yaser Hatami , Peyman Najafi

Air pollution is one of the most critical sustainability and public health issues facing megacities in the Global South, and Tehran illustrates this challenge with more than 100 polluted days each year. While traffic is widely acknowledged as the leading emission source, less is known about how land use patterns jointly shape exceedance-day frequencies. This study examines the influence of urban form within a 2 km radius of Tehran's 28 monitoring stations on the number of days exceeding air quality standards. Urban form is operationalized through three spatial density dimensions: green space (area density), industrial activity (count and area density), and street networks (distance density). Using GIS-derived measures and a Generalized Spatial Two-Stage Least Squares (GS2SLS) model, the analysis accounts for both spatial dependence and endogeneity. Findings reveal that connected and proximate green patches are effective in reducing exceedance days, while larger industrial areas and clusters substantially increase them. Street networks play a dual role: higher intersection connectivity raises exceedance frequencies, whereas longer continuous street segment lengths appear to facilitate pollutant dispersion and reduce exceedances. Overall, Tehran's exceedance day burden stems from a complex interaction of “source” and “sink” land uses, with fragmented greenery and concentrated industry particularly worsening conditions in southern districts. Conceptually, the study advances a density-based source–sink modeling framework; methodologically, it integrates GIS and spatial econometrics at a detailed urban scale, and substantively, it provides actionable insights for planners. Strategies such as enhancing continuous green corridors, congestion management, and industrial relocation are essential to mitigate air pollution and promote spatial justice.

空气污染是全球南方大城市面临的最关键的可持续性和公共卫生问题之一，德黑兰每年有超过100天的污染天数说明了这一挑战。虽然人们普遍认为交通是主要的排放源，但人们对土地利用模式如何共同影响超过日的频率知之甚少。本研究考察了德黑兰28个监测站半径2公里范围内的城市形态对空气质量超标天数的影响。城市形态通过三个空间密度维度来实现：绿地（面积密度）、工业活动（数量和面积密度）和街道网络（距离密度）。利用gis衍生的测度和广义空间两阶段最小二乘（GS2SLS）模型，分析了空间依赖性和内生性。研究结果表明，连通和邻近的绿色斑块有效减少了超标天数，而较大的工业区和集群则大幅增加了超标天数。街道网络具有双重作用：较高的交叉口连通性提高了超标频率，而较长的连续街道段长度似乎有助于污染物扩散并减少超标。总体而言，德黑兰的超标日负担源于“源”和“汇”土地利用的复杂相互作用，在南部地区，绿地碎片化和工业集中的情况尤其恶化。在概念上，研究提出了基于密度的源汇建模框架；在方法上，它在详细的城市尺度上整合了GIS和空间计量经济学，在实质上，它为规划者提供了可操作的见解。加强连续绿色走廊、拥堵管理和工业搬迁等战略对于缓解空气污染和促进空间正义至关重要。

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引用次数: 0

Remediation performance of land leveling projects on cultivated land fragmentation under micro-topographic differences 微地形差异下平整工程对耕地破碎化的修复效果

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-13 DOI: 10.1016/j.indic.2025.101089

Siying Zhang , Chaoxian Yang , Yong Liu , Rongrong Chen , Pengfei Gao

China's expansive mountainous and hilly regions, shaped by varied topography, have led to widespread fragmentation of cultivated land, posing challenges to mechanized and large-scale agriculture. Land Leveling Projects (LLPs) have been widely adopted to address this issue. However, their effectiveness, particularly across different micro-topographical conditions, has not been systematically evaluated. This study examines the performance of LLPs in reducing Cultivated Land Fragmentation (CLF) using 16 land consolidation projects in the mountainous and hilly areas of Chongqing as case studies. This study constructs a tripartite analytical framework of “geomorphological type - project intensity - remediation performance”. Taking typical mountainous and hilly areas of Chongqing as a case study, it selects 16 implemented LLPs under different micro-geomorphological conditions as samples to comprehensively investigate the performance of LLPs in remediating CLF. The results showed that: (1) Various types of LLPs, including Strip Field Remediation Projects (SFRP), Terrace Remediation Projects (TRP), Slope-to-Terrace Projects (STP), Slope-to-Slow Projects (SSP), Field Merging Projects (FMP), and Mesa Reconstruction Projects (MRP), can all reduce CLF to some degree. (2) Micro-topographical conditions significantly influence LLPs performance. The Gentle Hilly and Flat Dam Area (GHFDA) showed the highest remediation effectiveness, followed by the Low Hill Area (LHA), Hilly and Wide Valley Area (HWVA), and Middle-Low Hillside Area (MLHA). (3) Complex terrain increases the degree of land fragmentation and the investment required for LLPs, without corresponding improvements in remediation outcomes. (4) Given limited financial resources, priority should be given to areas with high remediation potential and adaptability, such as GHFDA and LHA. These regions are more suitable for reducing fragmentation and promoting large-scale cultivation. In contrast, large-scale LLPs are less appropriate for MLHA; instead, efforts should focus on improving field access, irrigation systems, and basic infrastructure to enhance production and living conditions. This study provides a foundation for evaluating the performance of LLPs and supports more targeted, effective land management strategies in complex terrains.

中国广阔的山地和丘陵地区，地形多变，导致耕地普遍破碎化，给机械化和规模化农业带来挑战。土地平整计划已被广泛采用，以解决这个问题。然而，它们的有效性，特别是在不同的微地形条件下，还没有得到系统的评估。本文以重庆市16个山地丘陵区土地整理项目为研究对象，探讨了土地整理项目在减少耕地细碎化中的作用。本研究构建了“地貌类型-工程强度-修复效果”的三方分析框架。以重庆典型山地丘陵区为例，选取16个不同微地貌条件下实施的llp作为样本，全面考察llp修复CLF的效果。结果表明：(1)带状田修复项目（SFRP）、阶地修复项目（TRP）、坡地改造项目（STP）、坡地改造项目（SSP）、田合并项目（FMP）和台地改造项目（MRP）等不同类型的llp都能在一定程度上降低CLF。(2)微地形条件显著影响llp性能。缓坡平坦坝区（GHFDA）的修复效果最好，其次是低丘陵区（LHA）、丘陵宽谷区（HWVA）和中低丘陵区（MLHA）。(3)复杂地形增加了土地破碎化程度和llp所需的投资，但对修复效果没有相应的改善。(4)在财力有限的情况下，应优先选择具有较高修复潜力和适应性的区域，如GHFDA和LHA。这些地区更适合减少破碎化，促进大规模种植。相比之下，大型llp不太适合MLHA；相反，努力应集中在改善田间通道、灌溉系统和基本基础设施，以改善生产和生活条件。该研究为评估llp的性能提供了基础，并支持在复杂地形中更有针对性、更有效的土地管理策略。

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引用次数: 0

Asset-based millets production interventions for livelihood improvement in semi-arid Telangana: A multidimensional livelihood capital approach 以资产为基础的小米生产干预措施改善半干旱的特伦甘纳邦的生计：多维生计资本方法

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-12 DOI: 10.1016/j.indic.2025.101088

Rajendra R. Chapke, D. Balakrishna, Tara Satyavathi C, Peddiveeti Laxmiprasanna

Millets offer a climate-resilient and nutrition-rich alternative for enhancing rural livelihoods, yet their potential remains underutilized in semi-arid India. This study addresses the lack of empirical evidence on how millet-based interventions impact household livelihoods when aligned with farmers’ existing asset-based farming practices. The study was conducted in the Sangareddy district of Telangana under the ICAR-Farmer First Programme. It applied a capital-based framework to assess changes across five types of livelihood capitals that were natural, social, physical, financial, and human. A sample of 100 millet-farming households was selected through a stratified random sampling method. The data were collected before and after interventions using semi-structured tools and analysed using an entropy-weighted livelihood index, paired t-tests, and Structural Equation Modeling (SEM). The overall livelihood index increased significantly from 1.80 to 3.97. Social and natural capitals recorded the highest gains, driven by improved extension access, crop diversification, and millet enterprise development. The SEM revealed that social and financial capital had the strongest influence on livelihood enhancement. Improved millet practices, including high-yielding varieties, intercropping, mechanization, and value addition, contributed to higher income, resilience, and well-being. The study concludes that combining appropriate technologies with asset-based interventions can effectively improve the livelihoods of dryland farmers. Participatory technology design, capital-based extension strategies, gender-responsive value chains, and composite livelihood monitoring tools require attention while formulating the policy framework. This study provides strong empirical evidence that millet-based interventions, aligned with the existing livelihood capitals of farmers, can serve as a powerful strategy for achieving sustainable, equitable, and resilient rural development in the semi-arid regions.

小米为改善农村生计提供了一种具有气候适应性和营养丰富的选择，但在半干旱的印度，小米的潜力仍未得到充分利用。本研究解决了缺乏经验证据的问题，即当与农民现有的基于资产的农业实践相结合时，基于小米的干预措施如何影响家庭生计。这项研究是根据icar农民优先计划在特伦甘纳邦的Sangareddy地区进行的。它采用了一个以资本为基础的框架来评估五种生计资本的变化，即自然、社会、物质、金融和人力资本。采用分层随机抽样的方法，选取100户农户进行调查。使用半结构化工具收集干预前后的数据，并使用熵加权生计指数、配对t检验和结构方程模型（SEM）进行分析。整体民生指数从1.80大幅上升至3.97。在推广渠道改善、作物多样化和小米企业发展的推动下，社会和自然资本的收益最高。SEM显示，社会和金融资本对生计改善的影响最大。改进谷子种植方法，包括高产品种、间作、机械化和增值，有助于提高收入、抵御能力和福祉。该研究的结论是，将适当的技术与基于资产的干预措施相结合，可以有效地改善旱地农民的生计。在制定政策框架时，需要注意参与式技术设计、以资本为基础的推广战略、促进性别平等的价值链和综合生计监测工具。本研究提供了强有力的经验证据，表明基于小米的干预措施与农民现有的生计资本相一致，可以作为在半干旱地区实现可持续、公平和有弹性的农村发展的有力战略。

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引用次数: 0

Sustainable community-based tourism development nexus livelihood improvement in urban areas: Evidence from Addis Ababa, Ethiopia 以社区为基础的可持续旅游发展关系到城市地区生计改善：来自埃塞俄比亚亚的斯亚贝巴的证据

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-11 DOI: 10.1016/j.indic.2025.101074

Kassegn Berhanu Melese , Tsion Mohammed Ismael , Shewandagne Alemayehu

The study aimed to explore the nexus between sustainable community-based urban tourism (CBUT) development and livelihood improvement for the residents of Addis Ababa. Purposive sampling was employed to select unprivileged and disadvantaged groups from the Arada sub-city's population, followed by census sampling to contact respondents. Principal component analysis was used to break down determining factors, followed by a multiple regression test to examine their impact on community-based urban tourism. The research findings indicate that community awareness about community-based urban tourism concepts is low, necessitating intensive awareness creation. However, potential tourism resources and community interest were observed. Arada sub-city is endowed with high-potential tourism resources. Moreover, social capital and empowerment, improved livelihood, and sense of place have been drawn as determining factors for successful community-based urban tourism development. It also revealed that need assessment, development works, administrative frameworks, community participation, benefit sharing, sustainability, and its value are pillars to the development of community-based urban tourism. The study has provided insight for researchers, practitioners, policymakers, and the government on how to concentrate on various forms of tourism that are important for the development of the tourism industry, the well-being of the populace's economy, the diversification of attractions, and the viewpoint of tourists.

本研究旨在探讨可持续社区城市旅游发展与亚的斯亚贝巴居民生计改善之间的关系。采用有目的抽样的方法，从Arada副城市的人口中选择弱势群体，然后进行人口普查抽样，联系被调查者。采用主成分分析分解决定因素，然后采用多元回归检验检验其对社区城市旅游的影响。研究结果表明，社区对社区城市旅游概念的认知度较低，需要加强意识创造。然而，潜在的旅游资源和社区利益被观察到。阿拉达副城市具有高潜力的旅游资源。此外，社会资本和赋权、改善的生计和地方感被认为是成功的社区城市旅游发展的决定因素。报告还显示，需求评估、开发工作、行政框架、社区参与、利益分享、可持续性及其价值是社区城市旅游发展的支柱。该研究为研究人员、从业人员、政策制定者和政府提供了关于如何关注各种形式的旅游的见解，这些旅游对旅游业的发展、民众经济的福祉、景点的多样化和游客的观点都很重要。

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引用次数: 0