Search Results (58)

Effective water governance is essential for sustainable development amidst water scarcity challenges in semi-arid regions like Esmeraldas Province, which has substantial agrotourism potential. Yet, fragmented governance and chronic water shortages threaten its viability. Using a mixed-method approach, this study analyzed how sustainable water governance can support agrotourism development in Esmeraldas Province, Ecuador. This study combined policy gaps analysis, stakeholder surveys (policymakers, farmers, community leaders, and tourism operators), and water availability using the Standardized Precipitation Evapotranspiration Index (SPEI) from 1980 to 2022. The results revealed a lack of policy regulation and water infrastructure as the major governance gaps that need more intervention. The survey respondents indicated that water is mainly used for domestic and economic activities and the conservation of natural ecosystems. The SPEI revealed a significant drought trend falling below −3, with severe drought years coinciding with many crop losses and a fall in tourism. This study highlights the interconnection between water governance and agrotourism in Esmeraldas, Ecuador, proposing a strategic framework that incorporates adaptive governance principles and inclusive participation mechanisms, emphasizing targeted capacity building to strengthen water management practices and enhance the Sustainable Development Goals for agrotourism resilience. Full article

In order to fulfil SDG 13—taking urgent action to combat climate change and its impact—SDG 2—ending hunger and poverty—and the African Union CAADP Strategy and Action Plan: 2026–2035, which’s goal is ending hunger and intensifying sustainable food production, agro-industrialisation, and trade, the resilience of commercial livestock farmers to agricultural droughts needs to be enhanced. Agricultural drought has affected the economies of many sub-Saharan African countries, including South Africa, and still poses a challenge to commercial livestock farming. This study identifies and determines the factors affecting commercial livestock farmers’ level of resilience to agricultural drought. Primary data from 123 commercial livestock farmers was used in a principal component analysis to estimate the agricultural drought resilience index as an outcome variable, and the probit model was used to determine the factors influencing the resilience of commercial livestock farmers in the Northern Cape Province of South Africa. This study provides a valuable contribution towards resilience-building strategies that are critical for sustaining commercial livestock farming in arid regions by developing a formula for calculating the Agricultural Drought Resilience Index for commercial livestock farmers, significantly contributing to the pool of knowledge. The results showed that 67% of commercial livestock farming households were not resilient to agricultural drought, while 33% were resilient. Reliance on sustainable natural water resources, participation in social networks, education, relative support, increasing livestock numbers, and income stability influence the resilience of commercial livestock farmers. It underscores the importance of multidimensional policy interventions to enhance farmer drought resilience through education and livelihood diversification. Full article

Eliminating all forms of poverty is a core component of the United Nations’ Sustainable Development Goals. At the household level, poverty and income inequality significantly threaten farmers’ sustainable development and food security. Based on a sample of 1234 kiwi farmers from the Shaanxi and Sichuan provinces in China, this paper empirically examines the impact of participation in agricultural industry organizations (AIOs) on household income and income inequality, as well as the underlying mechanisms. The results indicate the following: (1) Participation in AIOs increased farmers’ average household income by approximately 19,570 yuan while simultaneously reducing the income inequality index by an average of 4.1%. (2) Participation increases household income and mitigates income inequality through three mechanisms: promoting agricultural production, enhancing sales premiums, and improving human capital. (3) After addressing endogeneity concerns, farmers participating in leading agribusiness enterprises experienced an additional average income increase of 21,700 yuan compared to those participating in agricultural cooperatives. Therefore, it is recommended to optimize the farmer–enterprise linkage mechanisms within agricultural industry organizations, enhance technical training programs, and strengthen production–marketing integration and market connection systems, aiming to achieve both increased farmer income and improved income distribution. Full article

Background: Low back pain (LBP) and musculoskeletal disorders are highly prevalent among agricultural workers. However, there is limited epidemiological evidence from rural regions of Ecuador, where working and living conditions may differ substantially from those in other settings. This study aimed to identify predictors of LBP among farmers in rural Ecuador to inform locally relevant prevention strategies. Methods: Participants aged 30 to 60 years (n = 103) were recruited through a traveling health clinic. Participants were assessed with behavioral and sociodemographic self-report questionnaires and anthropometric measurements. Low back pain (LBP) was assessed using the Standardized Nordic Musculoskeletal Questionnaire, which asked about symptoms experienced in the past 12 months. Bivariate (Chi-square and Fisher exact tests) and multivariate (binary logistic regression) analyses were conducted to explore associations between risk factors and LBP in individuals aged 30 to 60 years. Results: LBP was highly prevalent, affecting 78.6% of participants. Behavioral patterns were mixed, with low rates of smoking and moderate alcohol and coffee consumption associated with LBP. A normal body mass index (BMI) was observed in 66% of the sample, and over half reported stable mood and good self-perceived health. In the binary logistic regression analysis, only education level significantly predicted LBP, with secondary education acting as a protective factor. Conclusions: While lower back pain was widespread in the population studied, most risk factors that were analyzed were not significantly associated with its presence. Full article

Objectives: This study aimed to assess the social support level among perimenopausal women and explore its key influencing factors. Methods: From November 2022 to March 2023, a stratified multistage random sampling method was used to recruit 647 perimenopausal women from three communities in Tianjin, China. The participants completed the Social Support Rating Scale (SSRS), the Kupperman Menopausal Index (KMI), and a sociodemographic questionnaire. Nonparametric tests, correlation analysis, and stepwise regression analysis were conducted to explore key factors influencing social support. Robustness checks were performed using hierarchical regression analysis. Results: The overall social support level of perimenopausal women was moderately low (34.190 ± 10.007), with the lowest scores observed in the 46–50 age group (33.000 ± 9.666). Stepwise regression analysis showed that, compared to married women, single women reported significantly lower social support levels (β = −0.242, p < 0.001). Using public sector employees as the reference group, women in all other occupational categories (including self-employed, corporate employees, farmers, freelancers, and other professions) had significantly lower social support scores (β range: −0.196 to −0.232, all p < 0.05). Compared to those with good family relationships, women with average (β = −0.420, p < 0.001) and poor (β = −0.349, p < 0.001) family relationships reported significantly lower social support levels. In terms of menopausal symptoms, greater severity of palpitations (β = −0.140, p < 0.05) and dyspareunia (β = −0.143, p < 0.05) was associated with lower social support, while higher levels of neuroticism (β = 0.102, p < 0.05) and joint/muscle pain (β = 0.158, p < 0.05) were linked to greater social support. Conclusions: Social support levels among perimenopausal women were generally low, particularly among those aged 46–50 years. Marital status, occupational type, and family relationships were key influencing factors, and certain menopausal symptoms were closely related to social support, especially those that are difficult to discuss, such as palpitations and dyspareunia. These findings highlight the necessity of strengthening social support networks for perimenopausal women and provide scientific evidence for the development of targeted interventions and public health policies to enhance their well-being and promote healthy aging. Full article

The efficient prediction of corn biomass yield is critical for optimizing crop production and addressing global challenges in sustainable agriculture and renewable energy. This study employs advanced machine learning techniques, including Gradient Boosting Machines (GBMs), Random Forests (RFs), Support Vector Machines (SVMs), and Artificial Neural Networks (ANNs), integrated with comprehensive environmental, soil, and crop management data from key agricultural regions in the United States. A novel framework combines feature engineering, such as the creation of a Soil Fertility Index (SFI) and Growing Degree Days (GDDs), and the incorporation of interaction terms to address complex non-linear relationships between input variables and biomass yield. We conduct extensive sensitivity analysis and employ SHAP (SHapley Additive exPlanations) values to enhance model interpretability, identifying SFI, GDDs, and cumulative rainfall as the most influential features driving yield outcomes. Our findings highlight significant synergies among these variables, emphasizing their critical role in rural environmental governance and precision agriculture. Furthermore, an ensemble approach combining GBMs, RFs, and ANNs outperformed individual models, achieving an RMSE of 0.80 t/ha and R² of 0.89. These results underscore the potential of hybrid modeling for real-world applications in sustainable farming practices. Addressing the concerns of passive farmer participation, we propose targeted incentives, education, and institutional support mechanisms to enhance stakeholder collaboration in rural environmental governance. While the models assume rational decision-making, the inclusion of cultural and political factors warrants further investigation to improve the robustness of the framework. Additionally, a map of the study region and improved visualizations of feature importance enhance the clarity and relevance of our findings. This research contributes to the growing body of knowledge on predictive modeling in agriculture, combining theoretical rigor with practical insights to support policymakers and stakeholders in optimizing resource use and addressing environmental challenges. By improving the interpretability and applicability of machine learning models, this study provides actionable strategies for enhancing crop yield predictions and advancing rural environmental governance. Full article

To promote sustainable rural development and digital transformation and based on 2018 county-level digital rural indices and microdata from the China Family Panel Studies (CFPSs), this study examines how the digital environment impacts the entrepreneurial behavior of rural households. The results of the study were as follows: (1) The optimization of the digital environment significantly increases entrepreneurial possibilities for farmers, indicating that, the higher the digital rural development index, the easier it is for farmers to start their own businesses. (2) As digital village construction progresses, the impacts of digital hard environments on rural household entrepreneurship decrease, while the influence of digital soft environments increases. (3) Mechanism analysis reveals that digital literacy facilitates farmers’ entrepreneurial behavior through the digital environment. Farmers with stronger intentions to participate in commercial activities and information acquisition more actively utilize the digital environment to seek business opportunities and make entrepreneurial decisions. (4) Further analysis reveals an inverted U-shaped relationship between the “second-level digital divide”, represented by digital literacy, and the development of digital villages. (5) To fully implement China’s Digital Rural Strategy, it is crucial to not only establish digital infrastructure but to also enhance farmers’ digital literacy and promote the development of a digital soft environment. Full article

In this study, the agricultural work stress induced by the noise and vibration of some agricultural machinery was analyzed through electroencephalogram (EEG) measurements. The values of spectral edge frequency (SEF) 95%, relative gamma power (RGP), and EEG-based working index (EWI), utilized as stress indicators, were derived by analyzing the EEG data collected. The EEG analysis revealed that agricultural work stress manifested when participants engaged in agricultural tasks following a period of rest. Additionally, the right prefrontal cortex was identified where the values of SEF95% and RGP increased concurrently with the rise in noise (61.42–88.39 dBA) and vibration (0.332–1.598 m/s²). This study’s results are expected to be utilized as foundational data to determine the agricultural work stress felt by farmers during work through EEG analysis in response to changes in noise and vibration. Full article

Using survey data of Missouri small producers in 2022, this paper explores their perceptions of climate change and factors affecting their adoption of climate-smart practices. A synthesized climate change perception (CCP) index is developed to assess the effects of cognition and social demographics of producers on climate-smart practices (CSPs) adoption. The results show that 86.0% of participants have relatively high perceptions of climate change, and 82.0% have adopted at least one climate-smart practice; the higher the climate change perception index, the more likely the producers will adopt climate-smart practices. The findings encourage education on knowledge related to climate change, the relationship between climate change and agriculture, and how CSPs can reduce climate change. Specifically, we find specialty crop producers are more likely to adopt CSPs than other producers; and a one-unit increase in the CCP index can increase the CSP adoption rate by 4.61% for livestock producers and 2.61% for organic producers, suggesting relevant education programs can be tailored to the needs of livestock and organic farmers to improve their adoption rates of CPSs. Further, more resources are needed to support the farmers who reside in severely climate change – impacted areas for their sustainable production and climate sustainability. Full article

In Eastern and Southern Africa (ESA), smallholder rain-fed systems are vital, yet they are challenged by land degradation, soil fertility decline, and climate risks. To address these challenges, crop diversification has been promoted as a potential pathway to enhance productivity, improve nutritional security, and offer a viable pathway out of poverty and hunger. This study explores crop diversification among 150 smallholder households in the Kasungu, Mchinji, and Lilongwe districts of Malawi, where the project Sustainable Intensification of Maize Legume Systems in East and Southern Africa (SIMLESA) has engaged the smallholder farmers in conservation agriculture (CA)-based sustainable intensification participatory research and development for seven years since 2010. This study used Simpson’s diversity index (SDI) to estimate crop diversification, and a multiple linear regression model (MLRM) to analyze how smallholder farmers’ socio-economic characteristics influence adoption. The findings show a prevalence of small farms of less than 1.5 hectares, with most farmers perceiving crop diversification as beneficial for soil fertility. Key adoption constraints include labor shortages and a lack of legume seeds. SIMLESA participants lead in crop rotations, with a 63% higher adoption rate, and show the highest crop diversity, with a 99% increase in farmers growing three crops and a 74% increase in those growing four crops compared to non-SIMLESA farmers. The SDI values were 0.39 for non-SIMLESA, 0.48 for SIMLESA neighbors, and 0.57 for SIMLESA participants. Access to NGO inputs, larger farm sizes, and participation in research programs were positively associated with diversification, while food insufficiency was negatively associated with its adoption. The study highlights the importance of integrating participatory research methods to promote development initiatives effectively. Full article

In the context of global rural decline, fostering endogenous momentum through rural transformation to increase farmers’ incomes is a challenge that nations worldwide must address. This study utilizes the 2022 “China Rural Micro-Economic Data” to construct a multidimensional rural transformation index system at the village level, encompassing demographic, land, industrial, social, digital, and ecological transformations. This study evaluates the levels of rural transformation across 15 surveyed provinces in China. Furthermore, it empirically examines the impact of rural transformation on farmers’ incomes, the underlying mechanisms, and the heterogeneity of different transformation models. The findings are as follows: (1) Coastal economically developed regions exhibit higher levels of rural transformation, while inland agricultural provinces show significant lag; (2) Rural transformation effectively promotes the upgrading of agricultural value chains, increases farmers’ market participation, and enhances their access to financial services, thereby boosting farmers’ incomes; and (3) The impact of different transformation models on farmers’ incomes varies significantly; industrial, social, and demographic transformations contribute most prominently to income growth. While digital transformation shows some positive effects, it remains relatively limited. Land and ecological transformations have yet to demonstrate a significant positive impact on farmers’ incomes. Full article

The rapid development of digital finance has effectively reduced financial challenges in rural regions and created new prospects for agricultural production. This article examines the impact of digital financial development on rice production in Sichuan Province using the 2011–2021 Peking University Digital Financial Inclusion Index and data from 20 prefecture-level cities, as well as a fixed effects model. The mechanism of action is also discussed. The findings reveal that the advancement of digital finance plays an important role in boosting the expansion of rice production, and that digital finance influences rice output by increasing farmers’ willingness to participate in insurance and increasing the availability of credit. A heterogeneity analysis reveals that digital finance has a substantial effect on mountainous and economically poor areas. As a result, this article suggests that the breadth and depth of usage of rural digital finance, as well as the development of rural digital financial services in underdeveloped areas, should be expanded. Full article

The analysis of the realization path of the value of ecotourism products in agro-cultural heritage sites from the perspective of farmers’ behaviors can not only provide decision-making references for improving the well-being of farmers and alleviating poverty but also help to provide a scientific basis for the sustainable development of ecosystems in agro-cultural heritage sites. Based on the field research data of the Qitai dry farming system in Xinjiang in 2023, this study establishes an evaluation index system for livelihood capital transformed by tourism value, and it analyzes whether there is a significant difference between the livelihood capital held by different types of farmers by using the entropy method and non-parametric tests. This study found that (1) farmers who participated in tourism in alpine grassland pastoral areas possessed advantageous financial, social and cultural capital; those who participated in tourism in rain-fed agricultural areas possessed advantageous human capital; and those who participated in tourism in irrigated agricultural areas possessed advantageous financial and human capital. (2) There are significant differences in the natural, physical and financial capital between farmers in alpine grassland pastoral, rain-fed and irrigated agricultural areas. (3) The different types of farm households are categorized into three representative livelihood types in dryland agricultural and cultural heritage sites: strong financial capital-strong, socio-cultural capital sites, strong human capital-weak natural capital sites, and strong human capital-weak physical capital sites. Depending on the composition of the livelihood capital, different types of farmers in heritage sites can realize the tourism value of ecological products, thus helping them to ameliorate their combined benefits. Full article

This paper investigates the impact of e-commerce participation on household development resilience using a sample of 1229 households in the Shandong and Shaanxi provinces of China in 2022. It constructs the developmental resilience index of farm households from three dimensions of economy, society and culture using the entropy method, and establishes a counterfactual framework using the Propensity Score Matching (PSM) method. The results suggest that participation in e-commerce has a significant and positive impact on farming household development resilience. The PSM method estimates that participation in e-commerce increases the developmental resilience of farming households by 9.63% compared to non-participation, with economic, social, and cultural resilience increasing by 9.29%, 9.84%, and 9.92%, respectively. The robustness test results confirm the findings. Further analysis reveals that participation in e-commerce enhances farm household development resilience through three mechanisms: improving economic efficiency, network relationship linkage, and risk appetite. Heterogeneity analysis shows that the impact of e-commerce participation on household development resilience varies among farmers with different endowment constraints. In particular, farmers with more years of education and cooperative members benefit more from e-commerce participation, especially live and platform e-commerce. Full article

The multifunctionality of agricultural and livestock systems is a pivotal attribute that should be considered when formulating rural policies, as it serves as a significant source of income for those managing these systems in their respective areas. The objective of this work was to quantify the farm-level multifunctionality of extensive livestock systems with local meat breeds (cattle, sheep and goats) in Andalusia (southern Spain). The study focused on three autochthonous breeds located in southern Spain: (i) the Pajuna cattle breed; (ii) the Negra Serrana goat breed; and (iii) the Lojeña sheep breed. To assess multifunctionality in Andalusian systems, four aggregated function scores based on farm characteristics and activities were identified and evaluated: (i) production function; (ii) residence function; (iii) habitat and biodiversity function; and (iv) recreational, cultural and educational function. The farm data supporting these indicators were derived from personal interviews conducted with a total of 40 farmers. The total multifunctionality index was significantly higher for Lojeña sheep compared with Pajuna cattle and Negra Serrana goats. Across each breed, scores varied significantly for individual functions and indicators, highlighting the complexity and diversity inherent in each system. Based on the results obtained, a series of specific changes are deemed necessary to enhance the multifunctionality of the farms that specialize in the three breeds studied: (i) ensuring food self-sufficiency by promoting local opportunities; (ii) advocating for equal participation and active involvement of spouses in farm work; (iii) establishing optimal pasture management practices; (iv) fostering the development of activities related to livestock farming that contribute to ecotourism or rural tourism; (v) aligning local livestock farming practices with tasks related to forest fire prevention; and (vi) encouraging the participation of livestock farmers in training future practitioners and disseminating the role of livestock farming in society. Full article