Influence of Livelihood Capitals on Livelihood Strategies of Herdsmen in Inner Mongolia, China

Exploring the structure of household social capital in rural Vietnam: Applying Bayesian network approach

This study aims to explore the structure of the households' social capital of rural Vietnam households with secondary data from 2008 to 2018. This paper applied the fundamental theories (resource and network theories) and the Bayesian network to estimate the interaction of proxies to explore the structure of social capital. Results showed that the triangle structure in household social capital with the core point is organization participation. The connections show the tendency from organization participation, linking to household networks. Alongside that, linking social capital and Organization participation are determinants of social capital indicators (social events, social cost). Therefore, this paper suggests employing proxies such as structured indicators for integrating social capital into the livelihood papers.

Do large-scale agricultural entities achieve higher livelihood levels and better environmental outcomes than small households? Evidence from rural China

There is an ongoing debate about the type or scale of agriculture that should be most encouraged. This study explores the differences in livelihood levels and outcomes between new agricultural business entities (NABEs) and traditional small households. We applied the analytical tools of a sustainable livelihood framework and a multiple linear regression model to describe the determinants of livelihood outcomes of 105 NABEs and 119 traditional small households in two typical areas around the Sichuan Basin in China. The results show that the overall livelihood level of NABEs is 1.40 times higher than traditional small households. NABEs with a mixed livelihood strategy of both planting and breeding have the highest livelihood level, followed by planting NABEs and breeding NABEs. About 3.13% of all agricultural entities are at risk of falling into poverty; the greater risk levels are associated with the subsidized households (30.00%), pure farmers (12.50%), and part-time farming households (1.69%). NABEs in the study area are verified to use 2.06 times more pesticide and herbicide inputs compared to traditional small households. Education level, technical training, financial accessibility, and the connection with professional cooperatives are common factors influencing the livelihood levels of the two groups of agricultural entities. Livelihood levels of NABEs are also significantly influenced by the age of NABE leaders, planting area per capita, and agricultural insurance. Based on these results, the study proposes policy interventions that are most appropriate for achieving higher livelihood levels among both NABEs and small households. Although the mixed type of NABEs and non-farming households are recognized as being better agricultural entity types for poverty alleviation, we recommend a balance between fostering NABEs and maintaining traditional small households; guidance related to green agriculture production for NABEs is also urgently needed.

Herders' adaptation strategies and animal husbandry development under climate change: A panel data analysis

The frequent occurrence of extreme climate events has become an indisputable fact. However, the role of adaptation to extreme climate change in the development of livestock husbandry is still insufficiently understood. This study empirically analyzed the impact of herders' adaptation strategies to extreme drought on livestock husbandry development and aimed to explore the optimal grassland management path under continuous climate change. A panel dataset of surveyed herders from the Xilingol League, a traditional pastoral area in China, was used. The results indicated that the average frequency of extreme drought in the Xilingol League from 1980 to 2020 was 4.94 months/year, and the occurrence of extreme drought showed a slightly upward trend. The average technical efficiency of livestock husbandry was 0.721, which can still be improved. Hay purchases can effectively promote livestock technical efficiency (p<0.01) and is the main adaptation strategy of herders to extreme drought. Further analysis showed that non-farming and pastoral employment has a positive regulatory effect in the impact of purchased hay on livestock technical efficiency. The results of this study deepen the understanding of effective adaptation to extreme weather events in pastoral areas due to climate change and provide useful information to policymakers engaged in grassland management.

Measuring the intensity of rural livelihood diversification strategies, and Its impacts on rural households' welfare: Evidence from South Gondar zone, Amahara Regional State, Ethiopia

In Ethiopia, rural households are under risk in the sustainability of sources of income and forced to involve in diversified livelihoods because of the uncertain nature of the agricultural sector. Therefore, the aim of the study is to measure the livelihood diversification strategies and its impacts on rural households' welfare. The study used cross-sectional data, which is quantitative and qualitative in nature. Through the multistage sampling technique, the study selected 398 samples from the south Gondar zone. The data was analyzed through descriptive statistics, and Tobit and multiple linear regression models. The descriptive statistics analysis showed that income from crop and livestock productions are the most important contributors (97.74%) to livelihood diversification in the study area. The Simpsons Index of Diversity is (0.4) showing that there is a lower livelihood diversification in the study area. The Tobit model regression results showed that education, family size, irrigation, soil conservation, extension service, livestock, and infrastructure facility affect the intensity of livelihood diversification. Furthermore, the multiple regression result revealed that livelihood diversification has a positive impact on the welfare of rural households. The study concludes that to improve the livelihood and welfare of rural households, diversified livelihood strategies should be enhanced by facilitating farm activities through access to inputs, irrigation schemes, and infrastructure and off-farm activities. This article applied the Simpsons Index of Diversity (SID) to estimate the intensity of income diversification.• The method helps to measure the amount of diversified income and its effect on the welfare of rural dwellers. • The study helps to identify the common livelihood strategies and their relevance to improving rural living style.

Sustainability and Risks of Rural Household Livelihoods in Ethnic Tourist Villages: Evidence from China

This study constructed a quantitative index system evaluating the level of livelihood sustainability of rural households in ethnic tourist villages and identified the main livelihood risks these households encountered. This was achieved by modifying the sustainable livelihood framework proposed by the Department for International Development (DFID) and testing it on three typical ethnic tourist villages in Guangxi, China (Jinkeng, Ping’an Zhuang, and Chengyang Eight). The results showed that the overall livelihood sustainability index was relatively poor. Livelihood assets and transforming structures and processes were the main factors that restricted the sustainability of household livelihoods. Social capital and financial capital values were lowest out of six types of livelihood capital examined. The lack of community participation of households adversely impacted the score of transforming structures and processes. Households encountered various livelihood risks. Generally, the livelihood issues that concerned most households were market, social, and education risks. However, when the farmers were enquired about a single risk that worried them the most, market, financial, and employment risks ranked the highest. Through quantifying the sustainability and risk of rural household livelihoods, guidelines and subsidies could be allocated to promote rural revitalization.

Farmers’ Livelihood Capital and Its Impact on Sustainable Livelihood Strategies: Evidence from the Poverty-Stricken Areas of Southwest China

Evaluating the influence of livelihood capital on livelihood strategies remains an unexplored strategy intended to cultivate the level of livelihood capital, enhance livelihood strategies, combine the achievements regarding a reduction in poverty, and attain everlasting poverty mitigation, along with endorsing sustainable livelihoods. Based on the survey data of 508 farmers within poverty-stricken areas of Southwest China, the entropy method was primarily used for measuring the level of farmers’ livelihood capital. Moreover, the logistic regression model was used to empirically analyze the impact of livelihood capital on the choice and transformation of livelihood strategies. The results showed the following: (1) The five categories of livelihood capital values were generally not high. The value of physical capital was the highest (0.4279), while the value of financial capital was the lowest (0.2018). (2) Physical capital, alongside natural capital, has a positive influence on the pure agriculture livelihood strategy, while human, social, and financial capital have a positive impact on the non-agriculture livelihood strategy. Excluding financial capital, the remaining types of capital have a positive impact on the part-time agriculture livelihood strategy. (3) Decisive factors are used to promote transformation from pure agriculture to part-time agriculture, mostly comprising social network support and family labor force, among other indicators. The important factors used to promote transformation from pure agriculture to non-agriculture are mainly labor education level and social network support, among other indicators. Finally, on the basis of the above findings, policy sanctions are proposed from the observations of livelihood capital and livelihood strategies.

What catalyzes the proactive recovery of peasants from the COVID-19 pandemic? A livelihood perspective in Ningqiang County, China

The livelihood recovery strategy is utilized for peasants during the COVID-19 pandemic. This strategy serves a salient role to help them recover from the relevant hazardous impacts. Disaster risk has been a major concern among hazards for the increasing likelihood of exposure and vulnerability, especially in the process of poverty alleviation in China. However, few studies have discussed the factors and mechanisms that influence peasants to adopt livelihood recovery strategies in the context of the COVID-19 pandemic in China. Based on a case study of Ningqiang County, China, this study explores the mechanisms that catalyze the proactive recovery of peasants from the COVID-19 pandemic from a livelihood perspective. Methodologically, the study proposes a framework that integrates the modified pressure-state-response (PSR) framework and the sustainable livelihoods approach (SLA), and it employs structure equation modeling (SEM) approach to examine how specific factors affect peasants to proactively adopt livelihood strategies to recover from the COVID-19 pandemic. The results indicate that the COVID-19 pressure significantly increases the risk perception of peasants and decreases their livelihood capital. Further, the decreased livelihood capital, the improvement of risk perception and supportive policy will promote peasants to adopt livelihood recovery strategies. Moreover, the results specify that risk perception and supportive policy mediate the relation between livelihood capital and recovery strategy. The findings will be beneficial for policymakers and researchers to understand the mechanisms that peasants adopt livelihood strategies to recover from disasters, and can serve as references for formulating disaster risk reduction and resilience policies.

The Impact of China’s Grassland Ecological Compensation Policy on the Income Gap between Herder Households? A Case Study from a Typical Pilot Area

China’s policy of subsidies and rewards for grassland ecological protection (PSRGEP) aims to maintain the ecological function of grasslands and increase the income of herder households. Since 2011, the Chinese government has invested more than 150 billion yuan in this policy, making it currently the largest grassland ecological compensation project in China. Based on a survey of 203 herder households in Xin Barag Left Banner, Inner Mongolia Autonomous Region, this study used the Lorenz curve and Gini index to describe the imbalance in the distribution of compensation funds. Then, the integrated livelihood capital scores before compensation were used as a baseline. The changes in ranking and standard deviation of the scores after receiving compensation funds were analysed to draw a conclusion about the impact on the income gap between herder households. Finally, we described the absolute income gap through a group comparison. The results show that the distribution of compensation funds is unbalanced (Gini index is 0.46). According to the order of compensation funds from high to low, the top 20% of sample herder households received 49% of the total funds. Given the unbalanced distribution, households with better family economic conditions received more compensation funds. After receiving the compensation funds, the change in the ranking of the household’s livelihood capital integrated score was small, but the standard deviation increased from 0.1697 to 0.1734, and the Gini index of the households’ capital integrated scores decreased from 0.35 to 0.34 (the coefficient of variation decreased from 0.66 to 0.63). The group with the highest integrated livelihood capital score received 3.6 times the compensation funds of the group with the lowest score. As a result, under the promotion of PSRGEP, the local absolute income gap has widened, but the relative income gap has reduced. This study evaluated the current distribution of compensation funds for PSRGEP, which could provide a scientific basis for managers to optimize the fund distribution in the future.

Vulnerability Assessment of Forest Fringe Villages of Madhya Pradesh, India for Planning Adaptation Strategies

This study aims to assess the climate change vulnerability of forest fringe villages of Madhya Pradesh, India, and to identify the major drivers of vulnerability, which could help to develop effective adaptation strategies. A total of 325 households spread in 29 villages of Hoshangabad, and Mandla districts were chosen for primary data collection during the summer of 2015. The selection of villages and households was carried out through stratified random sampling and systematic random sampling, respectively. The vulnerability index (score) was developed and analyzed with respect to the different socioeconomic parameters. The analysis revealed that it is not the social class of a household but the economic condition, level of education, and type of occupation/livelihood of the members of a household that are significant factors influencing the vulnerability of a household. Such findings suggest that government programs need to be designed to address the welfare of all social classes in the forest fringe villages. The study has significance in terms of providing a framework for prioritizing target households for different programs related to vulnerability reduction in the forest fringe areas.

Different Household Livelihood Strategies and Influencing Factors in the Inner Mongolian Grassland

Household livelihood strategies affect grassland ecosystem services and the herder’s well-being. Understanding different household livelihood strategies and influencing factors is crucial for sustainable development in pastoral areas. We surveyed 241 households in the typical grassland region of Inner Mongolia to classify the different types of household livelihood strategies using income-based cluster analysis and to identify the major influencing factors of household livelihood strategies with partial least squares structural equation modeling (PLS-SEM). Our study has several findings. First, according to household income sources, there are five types of household livelihood strategies in this region, including breeding only small livestock (S), breeding mainly small livestock (SL), breeding mainly large livestock (LS), breeding only large livestock (L), and not breeding livestock (N), with the S strategy as the most dominant household livelihood strategy in this region. Second, among the five types of household livelihood strategies, the LS strategy had the highest household income (323,200 Chinese yuans) while the N strategy had the lowest household income (68,540 Chinese yuans). Third, among the five types of livelihood capitals, manufactured capital and natural capital had more substantial influences on household livelihood strategies. Manufactured capital directly influenced household livelihood strategies, while natural capital affected household livelihood strategies either directly or indirectly through manufactured capital. Our results suggest that the LS strategy would be the most economically profitable among the five household livelihood strategies in the typical grassland region of Inner Mongolia.

Research on Sustainable Development in an Alpine Pastoral Area Based on Equilibrium Analysis Between the Grassland Yield, Livestock Carrying Capacity, and Animal Husbandry Population

Equilibrium of the grassland yield, livestock carrying capacity, and animal husbandry population is the key factor that influences the ecological environment and sustainable development in pastoral areas. It is of great importance to define the animal husbandry pressure and carrying capacity of an animal husbandry population for grassland management policy-making and the sustainable development of animal husbandry. As one of the areas with the most sensitive and vulnerable ecosystem in China, the Three-River Headwaters Region is an ecological barrier for the environmental security and regional sustainable development of Southeast Asian nations. It is of great significance to define the livestock carrying capacity and population pressure in the area. This research estimates the net primary productivity (NPP) of vegetation in the Three-River Headwaters Region using Carnegie-Ames-Stanford approach (CASA) model, estimates the grass yield on the basis of NPP data, and then estimates the reasonable livestock carrying capacity according to the grass yield. Meanwhile, combined with herdsmen investigation data, it establishes a quantitative relationship between the proper livestock carrying capacity and reasonable animal husbandry population. In addition, the spatial distribution of an overloading animal husbandry population is analyzed through spatial interpolation, which can provide theoretical support for the establishment of scientific ecological immigration policy and the sustainable development of local animal husbandry. The results show that (1) the total grass yield of the grassland in the Three-River Headwaters Region is 13.96 million tons, and the average grass yield is 529.87 kg/hm2, whilst the spatial distribution presents a decreasing trend from the east and southeast to the west and northwest; (2) the reasonable livestock carrying capacity is 14.03 million sheep units (hereinafter referred as “SU”), and the average livestock carrying capacity is 55.14 SU/km2; and (3) the reasonable animal husbandry population carrying capacity is 512,500 people, while the actual amount is 645,300, with 132,800 people beyond the carrying capacity, especially in Xinghai, Tongde, Zekog, Yushu, Nangqen, and Chindu County.

Classifying Livelihood Strategies Adopting the Activity Choice Approach in Rural China

The classification of livelihood strategies is important for designing effective and targeted poverty-reducing strategies. This paper classified livelihood strategies adopting the activity choice approach and compared differences among income levels, asset endowments, poverty rates, and poverty causes of different household clusters to provide bases for the identification of targeted poverty-reducing strategies. By making the two-step cluster analysis, 2042 households were divided into four clusters. Agricultural households get a relatively low income because of the reliance on agricultural production and the lack of required assets to enter more remunerative livelihood strategies. Self-employment is the most remunerative livelihood strategy and high physical and financial capital accumulations are the premise of adopting a self-employed strategy. Featured with a medium-level income and asset endowments, wage-employed households benefit from a more-educated labor force and shoulder a heavy burden caused by children’s education at the same time. Besides, rural households face a series of social issues from labor migration, especially self-employed and wage-employed households. Non-labor households have a low-level income and asset endowments with older family members and an unhealthier labor force caused mainly by the aging population and accompanying diseases and disabilities. The transfer income-oriented non-labor households are the main object of poverty alleviation.