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Nowadays, women’s contribution to society through their social and human involvement at the household level in terms of education, care, and nutrition, as well as their added value to economic functioning, is increasingly recognized. However, most of the related research highlights the relative contributions of women and men. This paper proposes to analyze the link between women’s contribution to social, economic, and financial activities and the rural livelihood of the whole household farm. Based on a household survey that included a respondent section for women from over 285 families in the least rurally developed regions of Morocco, descriptive statistics and systemic analysis successively based on multiple factorial and clustering analyses were used to analyze the links between household adaptative capacity and women’s material and immaterial contributions. The results revealed that women play a crucial role in intergenerational knowledge transfer, which constitutes a critical factor in household capacities and reproduction, especially in the least endowed households. However, the women’s farm or off-farm activities did not guarantee their autonomy. So, the contribution of women to household farm livelihood through their know-how opens alternative pathways to reconsider their contribution to the overall goal of livelihood improvement.

Part-time farming is a widespread phenomenon associated with the long-term global trend of urbanization, especially in China since its reform and opening-up in 1978. The shift of agricultural labor to non-agricultural sectors has significantly impacted cultivated land use activities, yet the connection between part-time farming and cultivated land use sustainability (CLS) remains understudied. Here, we construct an index system for assessing CLS that integrates ecological, economic, and social sustainability. Using survey data from seven Chinese villages across three provinces, we analyze the impact pattern and mechanism of part-time farming on CLS. We find the following: (1) The impact of part-time farming on CLS presents an inverted U-shape, peaking negatively at a 45% inflection point; (2) Spatial heterogeneity exists in the effect of part-time farming on CLS; (3) A household’s non-agricultural workforce size and the gender of the household head significantly moderate the link between part-time farming and CLS; (4) CLS strongly hinges on various factors including the household head’s health, other family members’ education levels, commercial insurance, and agricultural skills training. Our findings provide empirical insights into governing part-time farming for sustainable cultivated land use and, eventually, rural human–land system sustainability.

The rent-free farmland transfer that exists widely in China’s rural areas is a topic worthy of attention. Particularly, the regional heterogeneity of its occurrences implies regional cultural heterogeneities. Using local dialects to proxy regional cultural features, this study applies econometric methods to examine the impacts of dialect diversity on rent-free farmland transfers. It also considers possible mechanisms through a mediation analysis, based on a combined two-year rural household survey dataset from the Guangdong and Jiangxi Provinces in 2015 and 2016. Robust estimation results reveal that dialect diversity increases the probability of rent-free farmland transfers at the household and village levels. According to the mediation analysis, dialect diversity influences villages’ farmland abandonment, rural farmland market development, and the flexibility of farmland transfer contracts, which further affects rent-free farmland transfer. Rent-free farmland transfer depends on social trust and contracts’ self-fulfilling advantages. Therefore, cultural and traditional factors should be taken into consideration, which would form beneficial interactions between the selections of rural farmland institutional arrangement and land rights policy implementations.

Building integrated photovoltaics (BIPV) contributes to promoting green and low-carbon transformation in rural areas. In order to better guide rural households to invest in BIPV projects and promote the goal of “carbon neutrality” in China’s building sector, this study integrates the theory of planned behavior (TPB), the social cognitive theory (SCT), and the PEST analysis framework. It constructs a theoretical model from the perspective of “External Factors-Internal Psychology-Investment Intention” to investigate rural households’ investment intentions toward BIPV projects and their influencing factors. Basic data were collected from 488 valid questionnaires from rural households in Henan Province, and the theoretical model was empirically tested using structural equation modeling. The results show that the model constructed from both internal and external factors effectively explains rural households’ investment intentions (II) toward BIPV projects (R2 = 0.89), with investment attitude (IA) being the strongest psychological motivation leading to their II. All four external factors—policy, economic, social, and technological—positively influence II with diminishing effects. Additionally, the policy factor has the most significant effect on IA, while the economic factor has a more prominent effect on perceived behavioral control (PBC), and the technological factor has a relatively weaker effect on the two psychological factors. Furthermore, the four external factors indirectly influence investment intentions through the two psychological factors of IA and PBC, with the mediating effect of IA being higher than PBC. Based on the findings, this study proposes effective suggestions to enhance rural households’ investment intentions toward BIPV projects.

Energy poverty is one of the three major crises of the global energy system. It tends to deepen as a result of the imbalance between supply and demand, energy transition and financial factors, especially in rural areas of developing countries. This paper took rural household energy poverty as the subject and collected 27 Chinese papers and 44 English papers from Google Scholar, Sci-hub, CNKI and other academic websites in the academic field on the definition, identification methods, influencing factors and governance countermeasures of energy poverty. It focused on analyzing the influence of income level, geographic location, urban–rural differences, demographic characteristics and other factors on energy poverty, as well as the profound impact of energy poverty on the population’s health, the population’s economic status, social equity, welfare of the population, the national economic development, etc. It finally landed on the government’s countermeasures to govern energy poverty so as to provide references for solving the problem of energy poverty by systematically sorting out the literature.

The present research aimed to evaluate the economic and environmental sustainability of livestock farms in inland areas of the Cilento, Vallo di Diano and Alburni National Park (Southern Italy) and the convenience and possibility of activating forms of local economies. The study involved three types of grazing husbandries: one with only sheep and goats; one with only cattle; and one mixed, namely with cattle, sheep and goats. The profitability of the analyzed farms was compared through their gross profit and the net income of the farmer. To evaluate the convenience of the farms under study to activate forms of a short supply chain, the transformation value of the milk was used as the reference parameter. The environmental impact per farm and per adult bovine unit was assessed through the LCA methodology. The economic analysis showed that the survival of the analyzed farms is essentially linked to public subsidies, which in some cases represent more than 75% of the total output. Family enterprise plays a fundamental role in management decisions, in the size of animal breeding, and in investment decisions. Referring to environmental impacts, the analysis showed a lower sustainability of cattle farming, mainly due to the higher methane emissions during enteric fermentation. Despite all this, the ecosystem services provided by these semi-extensive farms in inland areas are significant, and therefore economic and environmental analyses should take them into account to enhance them and encourage farmers to remain in these often marginal areas.

In order to alleviate ecological environmental degradation and to enhance sustainable rural household livelihoods, the Shaanxi government of China launched a disaster mitigation program: the disaster avoidance resettlement. Measuring household livelihood vulnerability and further assessing its influence, hold the key to strengthening livelihood adaptation in the context of disaster resettlement. Taking Ankang—in southern Shaanxi Province, China—as an example, this article explores the impact mechanism of household livelihood vulnerability on adaptation strategies through a multinominal logistic regression model in which 657 rural questionnaires were employed. In order to provide more integrated empirical evidence, we draw lessons from the livelihood of the previously proposed vulnerability framework, which has three dimensions: the degree of sensitivity, exposure, and adaptive capacity. The adaptive strategies were divided into pure farming, non-agricultural, and diversified adaptation types according to the types of income sources. The results indicated that livelihood vulnerability varies with different resettlement characteristics. In terms of adaptive strategy types, the vulnerability of pure farming households was the largest. This article found that the relocated households who had a lower sensitivity preferred the non-farming livelihood adaptation strategy. Local households with a high adaptive ability preferred to implement diversified adaptation strategies. The weaker the social support network of the relocated households, the more likely they were to choose off-farm adaptation strategies. Our research results are robust and have broader implications in terms of promoting rural household diversifications of adaptation strategies and reducing livelihood vulnerability.

Belgorod Region is one of the main agro-industrial regions of Russia. The volume of production in the livestock sector in 2022 amounted to 203 billion rubles. Most often, livestock farms are located near agricultural land with plant crops, which increases the risk of contamination of the latter with various toxicants. The purpose of this work was to study and assess the contamination with heavy metal ions and toxic chemicals of the soils of agricultural lands and nearby reservoirs in the Prokhorovsky district of the Belgorod region. Watercress (Lepidium sativum) and crustaceans (Daphnia magna Straus) are bioindicators.

Heterogeneous land development opportunities induced by spatial regulation produce different advantages in areas, which undoubtedly differentiates farmers’ employment. The aim of this study was to quantitatively examine its impact. We selected Moshui Lake City Park (urban development planning area), Sino-French Eco-City (industrial development planning area), and Chenhu International Wetland (ecological protection planning area) as its principal research areas. These regions are all located in Wuhan city, Hubei province, China. After obtaining 907 valid responses from rural households, the Tobit model was adopted to identify the impact of land development opportunities on farmers’ nonfarm employment. The results show that, first, industrial development opportunity (IDO) and urban development opportunity (UDO) provide more job security than the reference group, which is ecological development opportunity (EDO), with the estimated coefficients of IDO and UDO being 0.325 and 0.944, respectively. However, a negative correlation was found between UDO and farmers’ employment selection and income. Second, heterogeneity analysis reveals that the promotion effect of land development opportunities on farmers’ employment is more significant for low- and middle-income, low-quantity, and high-quality households. Finally, further analysis shows that IDO can promote employment for all age groups, but UDO inhibits the elderly labor force from getting employed. These findings provide evidence-based insights which can enable the government to formulate land value-added distribution systems that promote balanced development between regions and stakeholders.

Land resources are important for millions of rural households in China. With the land tenure system reform and the trend of nonfarm employment, land transfer affects household income and consumption diversity significantly. Utilizing the data from the China Family Panel Studies (CFPS) 2018, this study investigated the effects of land transfer on Chinese rural households’ consumption diversity, measured by the Simpson index. In order to mitigate the endogeneity problems caused by reverse causality and selection bias between farmers’ household land transfer decisions and consumption behavior, we employed the propensity score matching (PSM) method and instrumental variable (IV) method. Besides, the Shannon index was also used to measure consumption diversity for the robustness test. The results showed that the rural households who have transferred others’ land in would decrease their consumption diversity, while the households who have transferred their land out would increase their consumption diversity. Heterogeneity analysis showed that land transfer had different degrees of impact on rural households with different income groups and was more significant for low-income households. Specifically, compared with higher-income households, both the promotion effect of land transfer out and the inhibitory effect of land transfer on consumption diversity were more obvious for lower-income households.

Food waste is a burden on society in terms of the money wasted. There is limited information on the determinants of food waste and the amount lost to food waste by households as most previous studies were on post-harvest losses. Hence, determinants of food waste among households in Kogi West Senatorial District, Kogi State Nigeria were investigated. A three-stage sampling technique was used to select the respondents, while a structured questionnaire was used for data collection. Data were analyzed using Tobit regression and an equality test. The study revealed that food waste was higher in male headed households. The average monthly food waste proportion among urban households was significantly higher than that of rural households. The estimated amounts lost to food waste per month were ₦2103 and ₦5530 for the rural and urban households, respectively. These represented 7.2% and 13.1% of the total expenditure on food per month for rural and urban households, respectively. Among rural households, leftovers of food and lack of proper storage were the main reasons for food waste, while leftovers of food and preparation of food more than needed were the reasons for food waste among urban households. The sex of respondents, work experience, and monthly income influenced the proportion of food waste among rural households, while the dependency ratio, monthly income, and monthly food expenditure were the determinants of proportion of food waste among the urban households. Non-Governmental Organization efforts through sensitization campaigns focused on the need to reduce food waste, especially among urban households, would help to reduce the financial burden of food waste on households.

Ensuring food and nutrition security (FNS) is a formidable challenge under increasing population pressure. Governments around the globe have been striving to achieve this goal, but a major impact is attainable once the masses opt for measures at the household level. We conducted this study to explore household-level practices aimed at ensuring FNS and their association with FNS in rural Pakistan. Using cluster analysis, we divided a sample of 200 randomly selected rural households into high and low FNS groups, the majority of which belonged to the low FNS group. Logistic regression was applied to explore the association between household-level measures with the FNS of rural households. The households in the high FNS group adopted a greater number of measures for ensuring FNS. Households headed jointly by a male and female showed to have a higher likelihood of FNS. Similarly, households adopting diversification strategies on their farms were more likely to have high FNS. Moreover, households with working women exhibited a greater probability of experiencing high FNS. Similarly, households’ adoption of value addition in dairy products decreases the probability of food and nutrition insecurity. This study concludes with an emphasis on women’s empowerment, off-farm income diversification, and on-farm enterprise diversification to address FNS challenges.

The subject of research is a phenomenon of prosumption, i.e., the intertwining of consumption and production processes, until the differences between them are blurred. When consumers produce goods and services for their use, they become prosumers. The article aimed to assess consumer behavior in terms of various forms of prosumer activity on the market of household-related services. The types of prosumer activity of rural households and their size were determined during the analyses. The article uses primary sources from a survey conducted among residents of rural areas of the Masovian Voivodeship in Poland in 2017. Statistical, descriptive, and comparative methods were used. The research shows that consumers are very active in the field of prosumption, rationally running their households. The study used principal component analysis (PCA) and selected descriptive statistics. The research results showed that the services performed can be grouped into three categories, i.e., the index of basic living self-sufficiency of households, the index of renovation and repair self-sufficiency, and the index of professional self-sufficiency of farms. Consumers usually prepare meals at home and clean, iron, and wash clothes, thus reducing the costs of running a household. It is also popular to carry out repairs oneself or to carry out repairs of equipment at home.