Search Results (634)

As agricultural marketization deepens, market risks have become a key factor affecting rural household livelihoods, while the trend toward differentiation among rural households has further exacerbated heterogeneity in resource allocation strategies and risk-coping capabilities across different groups. Based on field survey data from 763 rural households in the border areas of Yunnan Province, this study employs a combination of the Target MOTAD model and OLS regression to analyze the optimal production mix, resource utilization efficiency, and determinants of agricultural income for different types of farming households. Empirical results indicate that capital shortages are the primary factor constraining the full utilization of agricultural resources and farmers’ income growth; non-agricultural households, through proactive risk management, demonstrate significantly stronger risk resilience than agricultural households; and differences in the income structures of these two types of households drive them to adopt differentiated risk response strategies. Based on these findings, this study proposes the following optimization pathways: First, enhance rural households’ ability to accumulate capital to overcome the bottlenecks of resource idleness and income growth; second, promote moderate-scale agricultural operations to improve resource utilization efficiency; third, implement differentiated risk response strategies based on the heterogeneous characteristics of farming households. This research provides theoretical references and practical foundations for optimizing resource allocation among rural households in Yunnan’s border regions and enhancing agricultural risk-response capabilities. Full article

Macro litter is a global environmental challenge with ecological, social, and economic implications for coastal zones such as the Escravos Estuary in Nigeria. This study examined community perceptions and mitigation preferences using a structured survey administered to 161 residents of the Escravos Estuary. Results indicated that awareness levels were substantial, with most respondents (76.6%) recognising macro litter as a major environmental concern. Macro litter was widely perceived to impose negative livelihood impacts, particularly among fishing-dependent households, where damaged gear, reduced catch rates, and income loss were frequently reported. Business-related effects were also identified, with most respondents (78.4%) noting increased operational costs and reduced customer patronage (58.0%) associated with littered surroundings. Social perceptions reinforced these findings, with some respondents (59.3%) strongly agreeing that macro litter poses a present and future environmental risk. Most respondents (79.0%) acknowledged the daily impacts of macro litter on quality of life. Ordinal analyses indicated limited demographic differentiation in awareness levels, although gender demonstrated a weak association. These findings suggest that awareness and concerns were broadly distributed within the surveyed population. Community-driven strategies received strong support, as most respondents (96.9%) affirmed the effectiveness of cleanups and supported policies promoting reusable products over single-use plastics. Building on these findings, a phased implementation roadmap is proposed, integrating community mobilisation, livelihood-sensitive interventions, infrastructure strengthening, regulatory enforcement, and measurable monitoring indicators. Such locally grounded strategies are essential for reducing macro litter through participatory approaches in estuarine systems while enhancing socioeconomic resilience and environmental sustainability. Full article

Ecologically fragile regions face the dual challenge of environmental conservation and improving rural livelihoods. Forest-dependent households are especially exposed to ecological restoration constraints, market fluctuations, and limited institutional access. This study develops a micro-level diagnostic framework that combines the Sustainable Livelihood Framework with resilience theory by adding a risk-resilience dimension to the conventional five-capital structure. Using survey data from 444 forest-farmer households in Songshan District, Inner Mongolia, we calculate livelihood resilience with the entropy-weight method, classify household profiles with K-means clustering, and diagnose constraints with an obstacle-degree model. The mean resilience score is 0.6267, indicating a relatively strong but uneven resilience level. Livelihood risk resilience (0.7476) and financial capital resilience (0.6797) are the strongest dimensions, whereas human capital resilience (0.3521) and physical capital resilience (0.4099) remain weak. The main obstacles are relationships with village cadres (29.66%), household savings (16.25%), livestock and poultry assets (14.70%), village road conditions (13.23%), relationships with relatives and friends (10.99%), and corporate/cooperative assistance effects (6.88%). The findings support targeted interventions in linking social capital, savings capacity, infrastructure, and enterprise-farmer cooperation. Full article

Coastal small-scale fishers in the Asia-Pacific region (APR) face mounting challenges from climate change (CC), with vulnerability shaped by ecological exposure, socio-economic dependence, and limited adaptive capacity. This study reflects on two contrasting cases, Taiwan and Papua New Guinea (PNG), to explore fishers’ perceptions and perspectives on CC and practical adaptation strategies. In PNG, 209 respondents from Momase, the Islands, and Southern regions participated. In Taiwan, 45 respondents from the Yunlin and Chiayi coastal regions participated. Significant correlations in coastal communities’ vulnerabilities and perceptions towards CC were revealed. Small-scale fishers perceive rising sea temperatures, shifting fish stocks, and intensifying typhoons as disruptive shocks to livelihoods and eroding traditional fishing practices. In Taiwan, despite relatively stronger infrastructure, household income, and access to technology, adaptation remains constrained by market pressures, declining youth participation, and regulatory complexities. In PNG, fishers deeply rely on natural resources and coastal ecosystems for subsistence and income, yet face acute risks from sea-level rise, coral bleaching, and unpredictable weather. With limited financial resources, weak institutional support, and geographic isolation, fishers perceive CC as an amplifying factor to existing vulnerabilities, leaving communities dependent on traditional knowledge and communal coping strategies. Fishers’ perceptions of CC are shaped by lived experiences rather than scientific discourse, influencing adaptation choices ranging from livelihood diversification to migration. Perceptions of CC drivers, their distal and proximal impacts on coastal fishing community livelihoods are viewed as siloed; yet, remote sensing data revealed that the impacts are transboundary. The findings underscore the urgent need for context-sensitive policies that integrate local knowledge, science-based data (such as remote sensing CC maps) to strengthen institutional support, and enhance resilience among vulnerable and underserved coastal small-scale fishers. Full article

The agricultural sector in Mexico, specifically the coffee and sugarcane supply chains, faces the critical challenge of reconciling economic profitability with environmental sustainability and rural social progress. This study presents a critical literature review and conceptual framework that evaluates existing analytical models and proposes methodological integration pathways to simultaneously optimize Triple bottom line (TBL) dimensions in vulnerable smallholder systems. Unlike prior reviews that focus on generic Sustainable Supply chain management (SSCM) practices, this work explicitly addresses the suitability and limitations of multi-objective optimization (MOO) and Life cycle assessment (LCA) for regenerative supply chain objectives in the Mexican coffee and sugarcane context. A critical review of 76 core articles published between 2020 and 2025 was conducted, employing comparative evaluation criteria and narrative synthesis to assess trade-offs, data requirements, and scalability constraints. The review reveals that while agricultural intensification often exacerbates environmental degradation, the adoption of sustainable practices can impose significant financial burdens on vulnerable smallholders. However, analytical models like MOO and LCA serve as robust decision-support systems that effectively evaluate trade-offs and balance competing economic, environmental, and social objectives by identifying optimal production scenarios. The contribution of this work is threefold: (1) a critical synthesis distinguishing regenerative from sustainable supply chain paradigms, (2) a comparative assessment of analytical model applicability to smallholder contexts, and (3) a conceptual framework integrating local socioeconomic realities, traditional knowledge, and modern technological approaches. Fostering resilient supply chains in Mexico requires customized analytical frameworks that explicitly operationalize social indicators, address data limitations, and enable cross-sector collaboration. Ultimately, localized models are essential to simultaneously enhance rural livelihoods, reduce carbon footprints, and maintain economic viability. Full article

Disasters pose severe threats to life, livelihoods, and socioeconomic stability globally, with disproportionate impacts on vulnerable groups. Despite growing recognition of the importance of citizen engagement in disaster risk reduction and resilience (D3R), existing participatory frameworks remain fragmented, predominantly top-down, and unsustainable beyond project funding cycles. There is a recognised need for an integrated conceptual framework that aims to systematically embed co-design and co-create principles into D3R governance while aiming to ensure the inclusion of vulnerable populations. This paper addresses this gap by presenting the Co-Design Co-Create Framework (CCF), a conceptual institutional model for citizen engagement in D3R. The CCF comprises six iterative phases—KNOW, RAISE AWARENESS, CO-DESIGN CO-CREATE, OUTREACH, KEEP ENGAGED, and EVALUATION—organized as a Living Lab ecosystem. Distinctive conceptual innovations include a Disaster Assembly mechanism designed to promote long-term sustainability through polycentric governance, explicit inclusion of vulnerable groups via Social Vulnerability Index assessment, proposed dual production of co-created policies and co-designed tangible solutions, and participatory tools including Policy Delphi and Storytelling. Unlike conventional time-bound initiatives, the CCF is designed to address critical gaps in existing disaster risk reduction (DRR) practices through embedded sustainability mechanisms, citizen empowerment aimed at Arnstein’s highest participation level, systematic knowledge-to-product translation, and bottom-up planning principles. This conceptual framework conceptualises disaster resilience as a continuously evolving, socially legitimate, and just process anchored in durable governance structures. Empirical validation through field implementation constitutes a direction for future research. Full article

As climate risks intensify and urbanization accelerates, cities face growing challenges in safeguarding infrastructure, livelihoods, and public well-being. Sustainable insurance has emerged as a key tool for mitigating climate-related risks; however, existing models often lack integration with smart city frameworks and climate resilience strategies. This study conducts a bibliometric review to map the global research landscape of sustainable insurance in climate-resilient smart cities, providing insights into emerging trends, thematic clusters, and knowledge gaps. Using data from the Scopus database and VOSviewer-based keyword co-occurrence analysis, this study identifies four key research clusters: economic-policy integration, climate risk governance, digital urban innovation, and health within the SDG framework. The findings reveal that emerging models such as parametric insurance, microinsurance, and data-driven pricing can align financial protection with real-time climate risks, incentivizing resilience investments and expanding coverage to vulnerable communities. These clusters illustrate the field’s transition toward systems-based approaches, highlighting the need for integrated solutions that blend financial, technological, and social dimensions of resilience. Study recommendations emphasize the integration of insurance into urban planning, the expansion of public–private partnerships, regulatory modernization, and the use of smart city data for dynamic risk pricing. This research offers implications for insurers, governments, urban planners, and development agencies, and positions insurance as a cross-cutting enabler that bridges ESG principles, digital governance, and inclusive sustainability. Full article

Riverine systems in tropical deltaic environments are increasingly exposed to hydrological variability driven by climate change, sea level rise, and extreme precipitation. In Nigeria’s Niger Delta, recurrent flooding and environmental degradation are intensifying pressures on freshwater ecosystems and dependent communities. This study examines hydrological stressors in riverine settlements of Bayelsa State and explores associated socio-ecological responses. Using an exploratory qualitative design, data were collected from 51 women residing in highly vulnerable riverine communities through 24 in-depth interviews and three focus group discussions. Thematic analysis identified prolonged flooding, riverbank erosion, salinity intrusion, water quality deterioration, and oil pollution, as key drivers of declining fisheries, reduced agricultural productivity, and household water insecurity. These stressors have prompted relocation, livelihood diversification, and reliance on indigenous adaptation practices. The study recommends: (1) installation of community-based flood early warning systems; (2) routine monitoring of surface water quality and salinity; (3) enforcement of oil spill remediation and pollution control measures; (4) rehabilitation of wetlands and natural drainage channels; and (5) targeted support for climate-resilient livelihoods such as aquaculture and elevated farming systems. These measures are critical for sustaining freshwater ecosystems and strengthening resilience in vulnerable deltaic communities. Full article

The livestock sector underpins food security, employment, and rural livelihoods across the Southern African Development Community (SADC), contributing up to 50% of agricultural GDP and supporting more than 60% of rural households. Yet climate change poses escalating threats through heat stress, declining pasture productivity, water scarcity, and vector-borne diseases that compromise productivity and economic resilience. This review identifies and locates effective climate change mitigation strategies along the livestock value chain, spanning production, processing, transport, and consumption, to promote sustainable, low-emission, and inclusive growth in the SADC region. A broad review of 46 peer-reviewed and institutional sources (2000–2024) was undertaken, focusing on livestock-related mitigation within SADC and comparable agro-ecological systems. Strategies were thematically categorized by value-chain stage and assessed for their emission-reduction and livelihood-enhancement potential. Local strategies include genetic improvement for low-methane and heat-tolerant breeds, adaptive rangeland and feed management, renewable-energy adoption in processing, climate-resilient transport infrastructure, and consumer awareness of low-emission products. Evidence suggests potential GHG-emission reductions of 18–30%, coupled with productivity gains and improved smallholder incomes. Coordinated implementation through the SADC Regional Agricultural Investment Plan (2021–2030) and national policies can transform the livestock sector into a climate-resilient driver of inclusive growth. Further research should quantify the socioeconomic feasibility and scaling potential of these strategies across production systems. Successful integration of climate change mitigation imperatives must be tailored to local biophysical conditions (e.g., rainfall, soil type) and socioeconomic contexts (e.g., market access, cultural practices). Full article

Conservation agriculture (CA) is widely promoted as a climate-smart approach to improve productivity and resilience, especially among small-scale farmers who face socioeconomic and climate-related risks that threaten their livelihoods. However, evidence linking CA adoption to household food-security outcomes in South Africa remains limited. This study examines patterns and determinants of CA adoption and assesses its implications for household food security among small-scale farmers in three municipalities of Mpumalanga Province. A quantitative cross-sectional survey was conducted among 391 farmers selected through stratified random sampling. Data were collected using a structured questionnaire and analyzed using descriptive statistics, chi-square tests, Kruskal–Wallis tests, and binary logistic regression. Results show that CA adoption was widespread but largely partial, with most farmers adopting one or two principles rather than the full CA package. Access to CA-related resources and information, household size, livelihood strategy, farm income, and farm size significantly influenced adoption. Higher adoption intensity was consistently associated with improved food-security outcomes, including increased production, lower food-insecurity severity, greater crop diversification, higher likelihood of year-round production, and increased market participation. The study concludes that conservation agriculture can contribute positively to multiple dimensions of household food security when adopted as an integrated system, but partial adoption yields limited benefits. Targeted extension support, improved access to resources, and context-specific interventions are required to enhance sustained and holistic CA adoption among small-scale farmers. Full article

While substantial literature exists on COVID-19’s effects on businesses, long-term recovery strategies and support systems for informal female-owned enterprises in secondary cities are underexplored. The study sought to qualitatively examine the gendered impacts of COVID-19 on informal food businesses owned by women in Kenya. Qualitative interviews with 80 participants, including key informant interviews, in-depth interviews, and focus group discussions in Kisumu, Kenya, were conducted. The study found that the pandemic significantly disrupted the livelihoods of female vendors, leading to changes in the market and household organization, including gender specific transformations. The women adopted some individual and collective strategies as part of the post-pandemic recovery strategies to enhance their resilience in business. The study findings shed light on the vulnerabilities of informal food businesses in secondary cities to emergencies and the need for targeted policies to support informal economies during crises. Full article

This study presents a systematic bibliometric analysis and critical review of assessment indicators and multi-criteria decision-making methods for rural energy systems from 2010 to 2025. It examines the evolving definitions and regional variations in these indicators and methods. The research hotspots of rural energy systems have shifted from basic rural electrification to multi-dimensional assessment indicators and hybrid multi-criteria decision-making methods. The assessment indicators for rural energy systems demonstrate a marked imbalance, dominated by economic and technical dimensions. Specifically, economic evaluations for rural energy systems frequently utilize net present cost and levelized energy cost, shifting from static capital comparisons to comprehensive lifecycle assessments. Meanwhile, loss of power supply probability is identified as the primary inherent constraint among technical assessment indicators for rural energy systems. Geographically, assessment indicators for rural energy systems priorities exhibit significant divergence. Developing regions prioritize basic power supply and affordability, whereas developed regions focus on grid stability and market risk resilience. In addition, environmental evaluations for rural energy systems remain fixated on carbon emissions. Developed nations emphasize global climate benefits, while developing nations focus on localized dividends like indoor air quality improvement. Critically, despite an increasing focus on rural livelihoods, social indicators remain systematically marginalized in rural energy systems, leading to the neglect of local requirements and increasing technical risks. The field of rural energy system assessment is advancing toward multi-criteria decision-making indicators. Future methodologies must integrate robust, dynamic adaptive mechanisms that respond to evolving developmental priorities in order to effectively address inherent data scarcity and complex socio-economic uncertainties of rural energy systems. Full article

Ecological resilience (ER) describes the ability of ecosystems to resist, adapt, and recover from external shocks. How to improve ER has become a crucial component of high-quality development (HQD) in the new era. Therefore, there is an urgent need to investigate the synergistic relationship between HQD and ER. In this study, taking the Yellow River Basin as an example, long-term time series data (2008–2022) were used at the provincial scale. Then we developed a logical framework to reveal the interrelationship and intrinsic mechanism between HQD and ER. Next, we explored the spatiotemporal coupling characteristics of HQD and ER using a comprehensive evaluation model and coupling coordination analysis. We found that from 2008 to 2022, the comprehensive level of HQD and ER fluctuated, and the coupling coordination degree showed significant spatial distribution characteristics. Meanwhile, from 2008 to 2022, the spatial evolution level of HQD increased in 89% of the study regions, while ER improved markedly across most regions. Furthermore, using principal component analysis (PCA), we analyzed the driving factors for HQD and ER. The analysis revealed that economic development, green innovation, livelihood improvement, and ecological adaptation play significant roles in promoting the coordinated development of HQD and ER. This research can serve as a reference and methodological guidance for achieving high-quality and sustainable development in the Yellow River Basin. Full article

Climate change has emerged as a defining global crisis, with the frequency and intensity of climate-induced disasters rising sharply and imposing disproportionate costs on developing economies and small island states. This article examines the role of climate-resilient infrastructure as a central pillar of climate-smart growth, integrating mitigation, adaptation, and long-term development objectives. It situates climate-resilient infrastructure within a planetary health setting, emphasizing the interdependence between human well-being, ecological systems, and infrastructure resilience. Climate-resilient infrastructure, not merely seen as an engineering solution but as a public good that generates significant positive externalities, reduces systemic macroeconomic risk and delivers welfare gains that exceed private financial returns. It discusses the cross-country heterogeneities in resilience outcomes, driven by differences in geographic exposure, economic capacity, institutional quality, and political economy constraints. Building on this, the study advances a welfare-based approach to infrastructure prioritization that incorporates service disruptions, distributional impacts, and fiscal risk, rather than asset values alone. It further outlines policy and financing strategies to bridge the gap between social and private returns, including public investment, concessional finance, blended instruments, and nature-based solutions. By embedding infrastructure within a planetary health lens, the paper argues that resilient systems are critical not only for safeguarding lives and livelihoods, but also for sustaining ecological stability, reducing health risks, and enabling inclusive, sustainable, and climate-smart economic growth. Full article

This study was designed to evaluate and explore the ecosystem-based adaptation practices for climate resilience with evidence from smallholder farmers’ perceptions of co-benefits and adoption decisions in Mabalane district, Mozambique. Ecosystem-based adaptation practice emerged as a sustainable approach to enhance rainfed smallholder farmers’ climate resilience while delivering multiple social, economic and environmental co-benefits. This study evaluated and explored the perceived co-benefits from adopting ecosystem-based adaptation practices and examined how they shape adoption decisions among the rainfed smallholder farmers. A mixed-method approach was employed, combining a household survey of 360 farm household heads, key informant interviews and focus group discussions. The main findings of the study revealed mixed cropping (83.9%), integrated crop-livestock (57.2%), and mulch tillage (51.1%) as the most adopted practices, as well as smallholder farmers perceiving multiple ecological and socio-economical co-benefits from adopting ecosystem-based adaptation practices. Although the study confirmed statistically significant relationships between ecosystem-based adaptation practices and the perceived co-benefits, none of the perceived co-benefits were significantly associated with an increase in the number of the adopted practices. Therefore, it is concluded that adoption decisions among smallholder farmers are not shaped by perceived ancillary benefits from ecosystem-based adaptation practices alone, but a combination of enabling conditions and resources endowments. Full article