Environmental Challenges最新文献_第5页

SDG-13 to combat climate change through decarbonizing marketing campaigns: An evaluation of customers’ sustainable purchase intentions for EVs using process modelling approach 通过脱碳营销活动应对气候变化的可持续发展目标-13：使用过程建模方法评估客户对电动汽车的可持续购买意愿

Environmental Challenges Pub Date : 2025-04-21 DOI: 10.1016/j.envc.2025.101164

Mohammed Saeed J. Alzahrani, Adil Zia

{"title":"SDG-13 to combat climate change through decarbonizing marketing campaigns: An evaluation of customers’ sustainable purchase intentions for EVs using process modelling approach","authors":"Mohammed Saeed J. Alzahrani, Adil Zia","doi":"10.1016/j.envc.2025.101164","DOIUrl":"10.1016/j.envc.2025.101164","url":null,"abstract":"<div><div>This study investigates the impact of decarbonizing marketing campaigns, brand image and perception of cost on sustainable purchase intentions for EVs. In addition, this study explores the mediation of green customer engagement and moderation of subjective norms for the proposed relationships. Drawing on the theory of planned behaviour (TPB), the current data were collected using judgmental and snowball sampling from 276 respondents in an online survey. Majority of respondents were male and in the age group of less than 24 years with bachelor’s level of study. This study's framework was confirmed using Structure Equation modelling (SEM) through SMART-PLS as statistics software. Key findings of the current study reveal that factors such as brand image, green customer engagement, and subjective norms were revealed to have significant and favourable influences on intentions to purchase EVs. Further, decarbonizing marketing campaign and perception of cost significantly impact the brand image. The significant mediation of brand image and green customer engagement; and moderation of subjective norms were observed for the said relationships. These findings can provide actionable results that EV companies can focus on to target the environmentally conscious customers. Despite growing interest in EVs as sustainable products, limited studies explore how these relationships influence customer engagement and purchase intentions. The current study contributes theoretically by highlighting the critical rational and emotional factors that drive the adoption of EVs by advancing the potential view of customer engagement in the sustainable market. EV manufacturers can foster consumer adoption behaviour by executing excellent sustainable marketing campaigns and creating a positive reputation.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101164"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying deforestation drivers through multi-temporal LULC analysis and population-forest correlation modeling: A case study of Dara Woreda, Ethiopia 基于时序LULC分析和种群-森林相关模型的森林砍伐驱动因素量化研究——以埃塞俄比亚Dara Woreda为例

Environmental Challenges Pub Date : 2025-04-21 DOI: 10.1016/j.envc.2025.101163

Melion Kasahun

{"title":"Quantifying deforestation drivers through multi-temporal LULC analysis and population-forest correlation modeling: A case study of Dara Woreda, Ethiopia","authors":"Melion Kasahun","doi":"10.1016/j.envc.2025.101163","DOIUrl":"10.1016/j.envc.2025.101163","url":null,"abstract":"<div><div>This study introduces a novel approach to analyzing deforestation in Dara Woreda, Ethiopia, by quantitatively modeling the correlation between population growth and forest cover decline using multi-temporal Land Use and Land Cover (LULC) data. Employing Geographic Information Systems (GIS) and Remote Sensing, the research rigorously collected and analyzed statistical and spatial data from satellite imagery, census records, and official reports. A key strength of this study lies in the precisely assessed accuracy of LULC classifications for 1990, 2005, and 2020, demonstrating a high level of agreement with reference data, thereby providing a robust foundation for understanding long-term changes. The findings reveal a significant and quantifiable decline in forest cover from 16.90 km² (6.76 %) in 1990 to 6.25 km² (2.50 %) by 2020, underscoring a substantial deforestation trend. Conversely, agricultural land significantly expanded from 113.37 km² (45.35 %) to 141.92 km² (56.77 %), highlighting the extent of natural ecosystem conversion. Notably, the study demonstrates a strong temporal correlation between the 87.2 % population growth in Dara Woreda between 1990 and 2020 and the corresponding 63.0 % degradation in forest cover during the same period. The most rapid deforestation (48.7 %) occurred between 1990 and 2005, suggesting the influence of specific socio-economic drivers during this time. While the rate of forest loss slowed between 2005 and 2020, the continued decline indicates persistent unsustainable land use practices. These temporally specific and quantitatively robust findings offer critical and novel insights for policymakers and stakeholders in Dara Woreda, providing a strong evidence base for the development and implementation of targeted sustainable land management strategies to effectively combat ongoing deforestation.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101163"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy subsidies, consumption patterns and perceptions in Qatar: Comparative Analysis on citizen and non-citizen residential energy use 卡塔尔的能源补贴、消费模式和观念：公民和非公民住宅能源使用的比较分析

Environmental Challenges Pub Date : 2025-04-21 DOI: 10.1016/j.envc.2025.101158

Esmat Zaidan, Logan Cochrane, Mohammad Al-Saidi

{"title":"Energy subsidies, consumption patterns and perceptions in Qatar: Comparative Analysis on citizen and non-citizen residential energy use","authors":"Esmat Zaidan, Logan Cochrane, Mohammad Al-Saidi","doi":"10.1016/j.envc.2025.101158","DOIUrl":"10.1016/j.envc.2025.101158","url":null,"abstract":"<div><div>Qatar’s exceptional per-capita electricity use—shaped by its harsh climate and subsidized tariffs—places efficiency gains at the center of national climate strategy. Drawing on utility-billing records and a survey of 2,652 households, this study shows that citizens in subsidized housing consume 50-100 % more power than non-citizens or citizens in market-priced homes, with the gap widest during the peak summer period. Survey responses underscore the behavioral dimension: 72 % of non-citizens cite cost savings as their main reason for conserving energy, whereas only 35 % of citizens do so; willingness to enroll in demand-response schemes stands at 60 % for non-citizens versus 40 % for citizens. These patterns highlight how subsidies shape consumption norms and signal the need for group-specific policy tools. A combined package of awareness campaigns, legal adjustments and targeted financial incentives is therefore recommended to curb residential demand while protecting equity and fiscal stability—an approach that can inform reforms across other high-consumption, subsidy-driven economies.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101158"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soil organic carbon (SOC) prediction using super learner algorithm based on the remote sensing variables 基于遥感变量的土壤有机碳（SOC）超级学习算法预测

Environmental Challenges Pub Date : 2025-04-21 DOI: 10.1016/j.envc.2025.101160

Yeonpyeong Jo , Palash Panja , Hanseup Kim , Milind Deo

{"title":"Soil organic carbon (SOC) prediction using super learner algorithm based on the remote sensing variables","authors":"Yeonpyeong Jo , Palash Panja , Hanseup Kim , Milind Deo","doi":"10.1016/j.envc.2025.101160","DOIUrl":"10.1016/j.envc.2025.101160","url":null,"abstract":"<div><div>The absorption of carbon into the soil and its accurate monitoring is crucial for crop production rates and for mitigating global warming through increased carbon sequestration. Soil organic carbon (SOC) predictions using machine learning techniques have been actively researched because of their ability to handle non-linear relationships and predict accurately with limited prior assumptions about underlying mechanisms. However, the selection of appropriate machine learning methods remains a subject of debate, since each study area has unique data patterns, leading to various prediction performance across different algorithm types. To address these challenges, superlearner algorithm was employed to predict SOC with data from four U.S. states: Arkansas, Idaho, Nebraska, and Utah. Remote sensing variables derived from Sentinel-2 and ALOS PALSAR were used as predictors, with feature selection applied. Results indicated that the linear regression-based superlearner achieved higher accuracy (nRMSE: 7.6 %, R²: 0.804) compared to the random forest-based model (nRMSE: 8.3 %, R²: 0.768), likely due to its ability to better capture the specific data patterns through careful base learner selection and hyperparameter optimization. In contrast, the random forest-based model demonstrated low variance in accuracy across different base learner combinations. Both models were used to predict SOC at new locations in Salt Lake City, Utah, with the linear regression-based model showing more accurate prediction results (nRMSE: 52.9 %, RMSE: 0.48 % OC). This study of the selection of ML algorithms facilitates more reliable monitoring of SOC in various environmental circumstances, supporting establishment of strategies for addressing climate change and for agricultural production by quantifying SOC accurately.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101160"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Water Footprint Analysis of Wheat Cultivation in the Ganga Yamuna Doab Region – Implications for Sustainable Water Management 恒河亚穆纳多布地区小麦种植的水足迹分析——对可持续水管理的启示

Environmental Challenges Pub Date : 2025-04-21 DOI: 10.1016/j.envc.2025.101162

Ai Likun , Mohammad Suhail , Mohd Nazish Khan , Meliev Abduxamidovich Bakhtiyor , Ibragimov Lutfullo , G’afforov Abdurashid , Alikul Xudayberdiyevich Ravshanov , Chen Yingying

{"title":"Water Footprint Analysis of Wheat Cultivation in the Ganga Yamuna Doab Region – Implications for Sustainable Water Management","authors":"Ai Likun , Mohammad Suhail , Mohd Nazish Khan , Meliev Abduxamidovich Bakhtiyor , Ibragimov Lutfullo , G’afforov Abdurashid , Alikul Xudayberdiyevich Ravshanov , Chen Yingying","doi":"10.1016/j.envc.2025.101162","DOIUrl":"10.1016/j.envc.2025.101162","url":null,"abstract":"<div><div>The research investigates the Water Footprint (WFP) of wheat cultivation in the Ganga-Yamuna Doab (GYD) region, highlighting grey WFP sub-components like Nitrogen (N), Phosphate (P), and Potassium (K). Blue water footprints dominated (88 %), with nitrogen-related WFP leading among grey components. The average total WFP for wheat in GYD was lower (1165 m<sup>3</sup>/ton) than the global average. Variations in blue WFP were observed across districts, with efficient water usage in some and higher values in others due to rainfall distribution and agricultural practices. Green WFP averaged 40 m<sup>3</sup>/ton, indicating varied resource utilization. Grey WFP was higher (98 m<sup>3</sup>/ton) than India's national average, influenced by urbanization, excessive fertilizer usage, and intensive agricultural practices. Precision farming techniques offer opportunities for greywater footprint reduction. Expert recommendations stress data validation and consider variations in planting/harvesting dates and growing season duration for improved sustainability. Soil characteristics are pivotal in defining crop rooting depth, especially in rain-fed regions. Data validation from reputable sources is crucial for accuracy and reliability.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101162"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying sustainable rice farming strategies in the Mekong Delta through systems analysis 通过系统分析确定湄公河三角洲可持续水稻种植战略

Environmental Challenges Pub Date : 2025-04-21 DOI: 10.1016/j.envc.2025.101165

Håkan Berg , Nguyen Thanh Tam , Thai Huynh Phuong Lan , Tran Xuan Long , Chau Thi Da

{"title":"Identifying sustainable rice farming strategies in the Mekong Delta through systems analysis","authors":"Håkan Berg , Nguyen Thanh Tam , Thai Huynh Phuong Lan , Tran Xuan Long , Chau Thi Da","doi":"10.1016/j.envc.2025.101165","DOIUrl":"10.1016/j.envc.2025.101165","url":null,"abstract":"<div><div>This study assesses the sustainability of intensive rice monocropping (IRM) and integrated rice-fish (IRF) farming in the Vietnam Mekong Delta, through systems analysis. Stakeholder (SH) consultations and a literature review were conducted to construct a Causal Loop Diagram (CLD), visualising the connections and effects of the two farming strategies across environmental, economic and social domains. 42 SHs, including farmers and scientists, assessed the impact of IRM and IRF on 42 interlinked CLD variables using a 5-point scale (-2 to 2). The SHs' scores were used to assess the farming strategies impact on 18 ecosystem services (ES) and the fulfilment of nine sustainable development goals (SDGs). The results show that IRM would have a negative impact on 14 ES, while IRF would have a positive impact on 17 ES. IRM was perceived to primarily have positive impacts on the rice yield and flood protection through an increased use of high dikes and agrochemicals, which however also was the main causes of the negative impacts on several other ES. IRF was perceived to have a positive effect on all SDGs, while IRM would only contribute to two and move away from seven SDGs. It is concluded that IRF provide a more sustainable alternative to IRM because it strengthens physical, ecological and social connections for an enhanced use of interlinked ES. This contributes to an increased productivity, farmers profit and wellbeing. IRF was also perceived to increase farming systems resilience, which is important for adapting to ongoing climate change and upstream dams.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101165"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reusing treated wastewater and biosolids in urban agriculture: Social feasibility of a decentralized approach for underserved settlements 都市农业中处理过的废水和生物固体的再利用：服务不足住区分散化方法的社会可行性

Environmental Challenges Pub Date : 2025-04-21 DOI: 10.1016/j.envc.2025.101159

Chethika Gunasiri Wadumestrige Dona , Kensuke Fukushi , Geetha Mohan

{"title":"Reusing treated wastewater and biosolids in urban agriculture: Social feasibility of a decentralized approach for underserved settlements","authors":"Chethika Gunasiri Wadumestrige Dona , Kensuke Fukushi , Geetha Mohan","doi":"10.1016/j.envc.2025.101159","DOIUrl":"10.1016/j.envc.2025.101159","url":null,"abstract":"<div><div>Urban poverty and water pollution are interconnected challenges that severely impact the quality of life in cities, particularly among vulnerable populations. Wastewater generation is a significant issue associated with the expansion of informal settlements in developing countries. Given the growing interest in reusing wastewater for agriculture, this study assesses the social feasibility of introducing urban agriculture as a decentralized wastewater treatment approach in underserved areas of Colombo, Sri Lanka. A questionnaire survey was conducted in a selected underserved settlement to evaluate public willingness to use treated wastewater for farming as an irrigation source and biosolids. The results show that 62 % of participants are willing to use treated wastewater for irrigation, while only 40.4 % are open to using biosolids for fertilizer, highlighting the social feasibility of promoting urban agriculture in underserved settlements as a wastewater treatment technique. Binary logistic regression analysis and marginal analysis suggest that household size, interest in farming and motivation for farming have key influence on public willingness for use treated wastewater for urban farming actvities. The insights from this study contribute to academic discourse and offer practical guidance for policymakers and urban planners to understand the social acceptability of using agriculture as a decentralized wastewater treatment approach in urban underserved communities to promote sustainable wastewater management practices and reduce urban water pollution.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101159"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geospatial assessment of treeline shift in response to climate change in Langtang National Park, central Nepal 尼泊尔中部朗塘国家公园树线移动对气候变化响应的地理空间评价

Environmental Challenges Pub Date : 2025-04-17 DOI: 10.1016/j.envc.2025.101155

Sijar Bhatta , Chandani KC , Raju Chauhan , Saraswati Aryal , Dipak Khadka , Ramesh Prasad Sapkota

{"title":"Geospatial assessment of treeline shift in response to climate change in Langtang National Park, central Nepal","authors":"Sijar Bhatta , Chandani KC , Raju Chauhan , Saraswati Aryal , Dipak Khadka , Ramesh Prasad Sapkota","doi":"10.1016/j.envc.2025.101155","DOIUrl":"10.1016/j.envc.2025.101155","url":null,"abstract":"<div><div>The Himalayan region harbors diverse treeline species but remains highly sensitive to even minor climate fluctuations, leading to shifts in forest distribution and recruitment patterns. This study examines treeline dynamics in response to climate change in Langtang National Park (LNP), Nepal, using remote sensing data, GIS techniques, and field observations. We assessed changes in Normalized Difference Vegetation Index (NDVI), forest coverage, and treeline positions from 2000 AD to 2018 AD. Statistical analyses, including regression modeling, Pearson correlation, and the Mann-Kendall trend test, were employed to quantify trends and relationships between climate variables and treeline shifts. Results indicate a significant upward advancement of the treeline at a rate of 3.73 m/year, with the average treeline elevation rising from 3,609.60 m during 2000 AD to 3,680.34 m during 2018 AD. Forest cover expanded accompanied by a notable increase in NDVI. Climate data revealed a significant warming trend, particularly in winter minimum temperatures (0.060°C/year). Treeline positions exhibited strong positive correlations with both maximum and minimum temperatures, while pre-monsoon rainfall showed a declining trend (-4.322 mm/year). These findings highlight climate warming, especially winter warming, as a primary driver of treeline advancement in LNP, with potential consequences for high-altitude ecosystems and biodiversity. This study provides insights into climate-induced vegetation shifts in the Himalayan region, offering valuable information for conservation planning and climate adaptation strategies. By quantifying treeline shifting rates and associated climatic influences, our research establishes a baseline for predicting future ecological changes in fragile mountain environments.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101155"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconsidering PAPER CUPS: Waste to value-added products 重新考虑纸杯：将废物转化为增值产品

Environmental Challenges Pub Date : 2025-04-17 DOI: 10.1016/j.envc.2025.101156

Avni Kothari, Veena Dhayal

{"title":"Reconsidering PAPER CUPS: Waste to value-added products","authors":"Avni Kothari, Veena Dhayal","doi":"10.1016/j.envc.2025.101156","DOIUrl":"10.1016/j.envc.2025.101156","url":null,"abstract":"<div><div>In today's environmentally conscious world, waste management and recycling are critical, especially for paper cups, which are ubiquitous in coffee shops, offices, and events. After the ban on plastic cups in many countries, the market for paper cups has seen a sudden spike. Although considered as a greener alternative than plastic cups, the recycling of paper cups possess a significant challenge due to the inner plastic lining, which makes the separation and recycling process more complex. Consequently, most of the used paper cups end up in the landfills, contributing to environmental pollution, resource depletion and causing a problem in the recycling of other paper-based items. The production of paper cups also has a substantial environmental footprint, involving deforestation, high water and energy consumption, increased carbon footprint and greenhouse gas emissions. Innovations in recycling technologies, such as biodegradable and compostable materials, and advanced facilities capable of separating plastic liners from paper, are emerging. But the success of these initiatives will require manufacturers to create more recyclable cups, consumers to treat and dispose of them appropriately, recycling facilities to invest in upgraded processes, and policymakers to back their efforts by enacting supportive regulations.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101156"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Willingness to pay for post-mining landscape restoration 愿意支付采矿后景观恢复费用

Environmental Challenges Pub Date : 2025-04-16 DOI: 10.1016/j.envc.2025.101157

José Jeremias Ganhane

{"title":"Willingness to pay for post-mining landscape restoration","authors":"José Jeremias Ganhane","doi":"10.1016/j.envc.2025.101157","DOIUrl":"10.1016/j.envc.2025.101157","url":null,"abstract":"<div><div>This paper examines the long-run impacts of mining-induced displacement and resettlement and uses the contingent valuation method to estimate displaced and resettled Mozambican households’ willingness to pay (measured in labour) to restore the landscape where they used to live before mining began there. Previous studies found that resettlement worsened the welfare of the communities affected, but these studies have generally been conducted shortly after the resettlements concerned had taken place while this study looks at longer-run impacts. The study results indicate that, on average, households were willing to contribute about nine working days per month. The results further indicate that resettled respondents had been adaptive and had used the monetary compensation they were given for resettlement to buy productive land to offset that lost due to resettlement. However, they still saw themselves as worse off than before their relocation. One explanation for this is that they are now far from marketplaces and the river, making it difficult to develop new sources of income and have access to water. Mitigation interventions and future resettlements should therefore think more carefully about selecting resettlement sites.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101157"},"PeriodicalIF":0.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0