Agricultural Poverty Research Articles

Testing the Effects of Economic Growth, and the Role of the Agriculture, Forestry and Fisheries Sectors, and Other Influential Factors in Forming Community Welfare

The welfare and poverty of farmers are still being discussed by researchers regarding economic growth, the role of the agricultural, fisheries, and forestry sectors, as well as other factors. This research aims to analyze the achievements of economic growth, the role of the agricultural, fisheries, and forestry sectors in the economy, as well as the influence of income inequality, labor absorption, and infrastructure factors on welfare. This research was conducted in Southeast Sulawesi Province, Indonesia. Using a quantitative approach to test the relationship between variables based on secondary data during the 2013-2022 period. Data were analyzed using panel data regression. The results of the analysis show that the economic growth of Southeast Sulawesi Province in the last ten years has been less than encouraging, the same thing also happened in important sectors contributing to GRDP, namely the Agriculture, Forestry, and Fisheries Sectors. Furthermore, economic growth, economic inequality, employment, and infrastructure are proven to be able to have a direct influence in creating social welfare, but on the other hand, the Agriculture, Forestry, and Fisheries sectors have a negative influence. The factor that plays the most role in determining social welfare is income inequality. Then successively followed by infrastructure, employment, and finally economic growth.

Factors Affecting Farmer Poverty and Efforts to Overcome It In Tanjung Jabung Timur District

This study aims to analyze the effect of technology, own capital, people's business credit, training, and agricultural institutions on the income of farmers in East Tanjung Jabung Regency and analyze poverty reduction strategies for farmers in East Tanjung Jabung Regency. The analysis tools used are multiple linear regression analysis and SWOT analysis. Based on the results of multiple linear regression partially owned capital, people's business credit, training, and agricultural institutions have a significant effect on the income of food farmers in East Tanjung Jabung Regency. Meanwhile, technology does not have a significant effect on the income of food farmers in East Tanjung Jabung Regency. The results of the SWOT analysis show that the strategy used for poverty reduction in farmers in East Tanjung Jabung Regency is in quadrant I position, which is a progressive recommendation, which means a very favorable situation for farmers in East Tanjung Jabung Regency because it has opportunities and strength so that it can take advantage of existing opportunities to overcome poverty

Multidimensional poverty of ethnic minority households: A case study in A Luoi district, Thua Thien Hue province

“Poverty” is widely known as a multifaceted concept and could be evaluated using multidimensional measurements. In Vietnam, there is still too little research conducted at the micro level in villages, communes, and households. This study explored multidimensional poverty in ethnic minority communities in the Central region of Vietnam. Based on the result of the survey of 221 ethnic minority farmers in A Luoi district, Thua Thien Hue province, this study applied the Alkire-Foster method to measure the multidimensional poverty of farmers through 11 indicators of 6 aspects of poverty, including income, education, health care, housing, living standard, and information access. The results showed that about 39.82% of households are in multidimensional poverty. The degree of deprivation in the 6 poverty dimensions was not consistent, with a large proportion of shortages related to income (72.64%), housing area (6.04%), and adult education (6%). Using the Binary Logistic Regression model showed that 8 factors affect the multidimensional poverty of ethnic minority households, including family size, farm size, number of livestock, irrigation, diverse farm income sources, diverse non-farm income sources, distance to central markets, and number of adverse external influences. Critical recommendations from the study to reduce multidimensional poverty of ethnic minority households include: diversifying livelihood activities for households, both non-farm and on-farm, with a greater focus on livestock; maintaining and developing good agricultural production land, including investment in irrigation and mechanisation of production; strengthening support for farmers to access the market...

Socio-Ecological Effect of Transition Landscape Dynamics from Agroforests to Monoculture Plantation in Upper Citarum Watershed

Agroforests in many tropical countries have long been acknowledged as substantially necessary to contribute to biodiversity conservation and community livelihood. The importance of agroforest biodiversification is now overlooked and replaced by a simplified structure due to the impact of agricultural commercialization. Land use changes have occurred in the Upper Citarum Watershed over time, converting traditional agroforests into monoculture plantations at the expense of their socio-ecological function. This paper aimed to analyze land use change dynamics and the effect of biodiversity loss on the socio-economy aspect of the rural agricultural landscape in the Upper Citarum Watershed. We conducted a survey of 95 respondents of community farmers in the agricultural landscape in Sukapura and Resmi Tingal Village using questionnaire guidelines and direct interviews to gather information. There was a significant decrease in plant diversity in some plot agroforests, which, in the previous study, was dominant to be reduced even to local extinctions. The results also show that the farmer poverty index according to BPS criteria is 12.63% of respondents who are below the poverty line. Our results imply that preserving mixed-garden (talun) patches in a landscape dominated by cash-crop gardens is one of the strategies that could conserve landscape biodiversity and increasingly a sustainable livelihood. Keywords: agriculture commercialization, agroforestry, land use change, poverty index, rural development

Development of Electric Network Impact on Socio-Economic of Ghazni Province, Republic of Afghanistan

The research paper investigates about the development of Elec-network which influences on socio-economic scenario of the Afghanistan particularly on Ghazni region. It is one of the southestern province of Afganistan, where the rate of energy consumption is comparatively low. Thus, 70 % urbanized people have an access of using electricity and rest of humanity does not have any kind of facility there. The main focus of electricity contains use of soler system as an energy source. The purpose of this research is electrification in other areas points to benefits for healthcare, education, and economic development as well as agriculture poverty and quality of life of the Ghazni province. In this way, using renewable energy, which has become more popular recently, is a superior choice. In this paper the researcher would discuse how the growth of electricity promote socio-economic advancement in Ghazni. Nonetheless, cost and fair distribution are important factors to take into account. Examining case studies from different countries, we examine the macro- and micro-economic benefits, emphasizing the advantages for healthcare, education, and other aspects of quality of life as well as the issues associated with costs for households. In order to wrap up, the research analyzes how electrification may affect Ghazni's socio-economic growth in a number of ways, including job creation, economic stimulation, quality of life, healthcare and education, poverty alleviation, and agriculture. The only solution to electrify the entire province and raise the economic and social status of the people is to create electrical plants using renewable energy, especially solar panels. The researcher would assess that expanding electrical networks is one of the current alternatives for the socio-economic development of Ghazni bucolic areas.

How does payment for watershed ecosystem services alleviate farmer poverty in conservation intervention areas? Evidence from China.

Payment for watershed ecosystem services (PES) has been applied to water conservation and poverty reduction in an increasing number of developing countries. This study evaluates the effect of payment for watershed ecosystem services on farmers' income in conservation intervention areas using a difference-in-differences model and a panel dataset that covers 18 countries in the Xin'an River Basin in China for fourteen consecutive years (2006-2019). The results show that PES programs increase farmers' income and that the poverty reduction effect is sustainable. The PES programs mainly increase the farmers' income in conservation intervention areas through two paths: triggering the transfer of agricultural labor and promoting agricultural restructuring. PES programs are pro-poor and more conducive to increasing the income of farmers in upstream regions and counties with lower levels of economic development. This paper reveals the specific role played by PES in promoting rural poverty reduction in developing countries, providing insights into alleviating the contradiction between poverty and watershed ecosystem protection.

Compounding impacts of COVID-19, cyclone and price crash on vanilla farmers' food security and natural resource use.

The intersection of the COVID-19 pandemic with other crises can amplify vulnerabilities and push communities further into poverty. In low-income countries, the dual impacts of COVID-19 and extreme weather events, along with multidimensional poverty and structural vulnerabilities in agriculture can decimate farmer livelihoods. This study aims to understand the effects of individual and compounding crises (COVID-19, cyclones, and vanilla price collapse) on smallholder vanilla farmers and local coping strategies in Madagascar, one of the world's largest vanilla producers and poorest countries. We used semi-structured and scenario-based interviews across two case study villages with contrasting enforcement of forest regulations. We found that the impact of the pandemic, combined with the cyclone event, disrupted livelihoods, resulting in income losses and food security challenges that exacerbated farmer vulnerabilities. Sixty eight percent of households reported crop losses due to strong winds and heavy rainfall brought by cyclone Enawo in 2017. The COVID-19 outbreak struck the region just as the residents were recovering from the effects of the cyclone. COVID-19-related travel restrictions in the aftermath of the cyclone took a substantial economic toll, with 54.1% of respondents experiencing a decline in earnings, and 17% facing a total loss of income due to the imposed lockdown. The decline in vanilla prices at the onset of 2020 had a far-reaching additional impact, affecting not only farmers but also residents who rely on other sources of income. Local communities reported using the forest resources more frequently as a safety net during crises in the village with more lenient regulations. This study underscores the importance of understanding the interconnectedness and compounding impacts of cascading crises on food security and natural resource use. We highlight the need for a comprehensive approach to increasing farmer resilience, particularly for those reliant on global market crops such as vanilla.

Emprego fora da fazenda e pobreza multidimensional: evidências empíricas da bacia do rio Amarelo na China

ABSTRACT: As an essential way to enhance farmers’ self-development ability, off-farm employment plays an indispensable role in farmers’ multidimensional poverty reduction in many countries. Employing a survey of 1926 farmers in five provinces of the Yellow River Basin in China, this paper examined the multi-dimensional poverty reduction effect of off-farm employment and the heterogeneous influence of different dimensions of off-farm employment (modes, levels, distances and frequency). The results showed that (1) although absolute poverty in the income dimension was largely eliminated in the Yellow River Basin, the poverty in social resources, transportation facilities, employment security were the key bottlenecks restricting farmers’ self-development. (2) The province with the best multidimensional poverty reduction effect for non-farm employment was Shaanxi, with the largest contribution to employment security. (3) Improving off-farm employment level, distance and time can significantly alleviate the multi-dimensional poverty of farmers. Therefore, to lessen the multi-dimensional poverty of farmers in the Yellow River Basin, it is necessary to focus on the governance of multi-dimensional key poverty-stricken areas, such as the middle and upper courses of the Yellow River, adopting multidimensional poverty alleviation strategy of off-farm employment according to local conditions, working on the farmers’ deficiencies in social resources, mobility, employment security, and deepening the effect of off-farm employment on benefiting farmers and helping the poor.

THE IMPLICATIONS OF ARTISANAL SMALL-SCALE MINING ON FOOD SECURITY IN ZIMBABWE

Like many sub-Saharan African countries, Zimbabwe's economy and household livelihoods have traditionally been anchored on agriculture and farming. However, a radical shift has been witnessed, resulting in unprecedented growth in artisanal and small-scale mining. Various theories attempted to explain this phenomenon, including agricultural poverty due to climate change, rising prices of minerals, and economic decline, among others. The rapid growth in artisanal and small-scale mining has both positive and negative implications for food smallholder farming and ultimately all the dimensions of food security. Based on the literature review method, this essay, therefore, examines the nexus between artisanal and small-scale mining and food security. This study is important in shaping policies that strike a balance between food security and other economic activities that support livelihoods, specifically for vulnerable communities, in a sustainable manner.

Agricultural Machinery Socialization Service Adoption, Risks, and Relative Poverty of Farmers

Agricultural machinery socialization services are an important means of alleviating poverty and promoting agricultural modernization. Based on 2750 items of survey data from farmers in Henan Province, this paper empirically tests the impact and mechanism of agricultural machinery socialization service adoption on the relative poverty of farmers by using a binary logit model and mediation effect model. The results show that the adoption of agricultural machinery socialization services has a significant negative impact on the relative poverty of farmers. The reduction in natural risk plays an intermediary role in the impact of the adoption of agricultural machinery socialization services on the relative poverty of farmers. The size of the household labor force and the land operation scale affect the poverty reduction effect of agricultural machinery socialization services. It can be seen that in the relative poverty governance stage, we should improve the development of the agricultural machinery socialization service system, enhance the risk resistance of farmers, build a supporting system for farmers’ employment skills training, and encourage an orderly connection between the large-scale operation of agricultural land and the large-scale operation of services so as to fully realize the poverty reduction role of agricultural machinery socialization services.

What influence farmers’ relative poverty in China: A global analysis based on statistical and interpretable machine learning methods

Poverty eradication has always been a major challenge to global development and governance, which received widespread attention from each country. With the completion poverty alleviation task in 2020, relative poverty governance becomes an important issue to be solved in China urgently. Because of a large population, poor infrastructures, insufficient resources, and long-term uneven development raising the living standard of farmers in rural areas is critical to China's success in realizing moderate prosperity. Therefore, identifying the poor farmers, exploring the influence factors to relative poverty, and clarifying its effect mechanism in rural areas are significant for the subsequent poverty governance. Most of the previous studies adopted the method of apriori assuming the factor system and verifying the hypothesis. We innovatively constructed a relative poverty index system consistent with China's actual conditions, selecting all the possible variables that could affect relative poverty based on the existing literature, including individual characteristics, psychological endowment, and geographical environment, and rebuilt an experimental database. Then, through data processing and data analysis, the main factors influencing the relative poverty of farmers were systematically sorted out based on the machine learning method. Finally, 25 chosen influencing factors were discussed in detail. Research findings show that: 1) Machine learning algorithm is proved it could be well applied in relative poverty fields, especially XGBoost, which achieves 81.9% accuracy and the score of ROC_AUC reaches 0.819. 2) This study sheds light on many new research directions in applying machine learning for relative poverty research, besides, the paper offers an integral framework and beneficial reference for target identification using machine learning algorithms. 3) In addition, by utilizing the interpretable tools, the “black-box” of ML become transparent through PDP and SHAP explanation, it also reveals that machine learning models can readily handle the non-linear association relationship.

Why current agroecology rhetoric stands to protract farmer poverty in the developing world

Like in the rest of the world, the vision for the future of agriculture in the developing world is highly contested. At the centre of this oft-polarized debate, a growing constituency of advocates suggests a large-scale shift to agroecology as the key to transforming Africa's agriculture. Yet, this rhetoric is not only quixotic in its vision for an African agricultural revolution but also profoundly dissociated from the realities of African agriculture. If the aim is to revolutionize African agriculture, rigid philosophical fixations on an idealized farming system are not the answer. For resource-poor farmers looking to lift themselves out of poverty in Africa and the rest of the developing world, such a narrative will only protract the status quo. Most crucially, it represents a pathway that stands to drive them deeper into poverty. Agricultural transformation in the developing world requires a pragmatic outlook, one that leverages the best of agroecology and modern agricultural solutions for smallholder farmers.

Crop Production in Irrigation Schemes in Turkana County, Kenya, Before and During COVID-19 (2018-2021)

Turkana County, located in the northwest of Kenya, is an arid county and the poorest in the country, with a poverty index of 79.3% vs. 34.4% for the country. Due to its aridity, crop production is severely constrained and the County is a net importer of foodstuffs, except beef, mutton and camel meats. Crop production in the operating irrigation schemes depends on water from retreat flooding in March-May and any that is let into and retained in canals when the seasonal rivers are flowing. This project aimed to assess the influence of COVID-19 and other undetermined factors on crop production in 10 irrigation schemes along the Tirkwell River, over the period 2018-2021. The study administered a semi-structured questionnaire to 104 randomly selected farmers, who owned farm plots in the irrigation schemes. One-on-one interviews were held, due to the high level of illiteracy of the respondents. Twelve elders and administrators were the key informants. The study established that sorghum was the dominant crop grown in 9 out of the schemes, except in Kooliyoro-Kaaiteese, where maize was the main crop. Other crops in declining order by production volume included cowpeas, green grams, black grams and in Keekoroe-ngole, some green vegetables. The weight of the dominant crop and other crops varied significantly (p≤ 0.05) in the same irrigation scheme across the years of interest for this study, and also across the irrigation schemes over the production period. The results of the study showed that COVID-19 breakout did not affect crop production in the irrigation schemes studied. Farmer poverty level, lack of expert extension services, use of uncertified and reused seed, unreliable water supply, and regular droughts affected crop production. The most productive 3 schemes in descending order by crop production volumes were Nanyee, Napool and Keekoroe-ngole, while Naremit was the least productive. Crop production suffers from long-term sustainability in all the schemes for most of the above reasons. To improve crop production, the study recommends the provision of expert extension services, a steady water supply, annual donation of certified seeds, improvement in crop-care services, streamlining crop marketing services and the upgrade of governance and management capability in the irrigation schemes.

Dual‐purpose crops for grain and fodder to improve nutrition security in semi‐arid sub‐Saharan Africa: A review

AbstractAddressing the challenge of food and nutrition insecurity in Sub‐Saharan Africa (SSA) will require innovative agriculture production systems that support multiple objectives. In recent years, several high‐yielding, and nutrient‐dense varieties of cowpea (Vigna unguiculata (L.) Walp), pearl millet (Pennisetum glaucum (L.) R. Br.), and sorghum (Sorghum bicolor (L.) Moench) have been developed purposely as dual‐purpose (DP) varieties in SSA to meet human nutrition and livestock feed needs. This review synthesized published data on DP varieties from cowpea, pearl millet, and sorghum. Findings showed that DP crops and varieties were largely grown by smallholder farmers in a variety of soil and climatic conditions with production systems characterized by large gaps between attainable and actual crop yields which varied significantly among regions. While the grain and fodder yield of traditional varieties (TV) of cowpea averaged 700 kg ha−1 and 860 kg ha−1, respectively, the reported grain yield of DP varieties was 1100 kg ha−1 and 2150 kg ha−1 for fodder. The average grain yield of TV millet varieties was 750 kg ha−1 and 2500 kg ha−1 for fodder. Similarly, average grain yield for DP millet varieties was 2000 kg ha−1 and 4200 kg ha−1 fodder. Dual‐purpose sorghum varieties yielded greater grain (>3000 kg ha−1) and fodder (3500 kg ha−1) compared to TV. Little data were obtained on the nutritive qualities of cowpea, millet, and sorghum DP varieties. However, DP millet varieties were reported to be more digestible than TV varieties. Furthermore, adoption of DP varieties improves fertilizer use efficiency, profitability, environmental sustainability, and resilience of the whole farm system compared to TV. Considering fertilizer's high prices, availability, and quality in semi‐arid countries in addition to farmer poverty level, economic evaluation and environmental impact assessment are critical before wide dissemination.

Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis.

Clubfoot is a congenital anomaly affecting 1/1,000 live births. Ponseti casting is an effective and affordable treatment. About 75% of affected children have access to Ponseti treatment in Bangladesh, but 20% are at risk of drop-out. We aimed to identify the areas in Bangladesh where patients are at high or low risk for drop-out. This study used a cross-sectional design based on publicly available data. The nationwide clubfoot program: 'Walk for Life' identified five risk factors for drop-out from the Ponseti treatment, specific to the Bangladeshi setting: household poverty, household size, population working in agriculture, educational attainment and travel time to the clinic. We explored the spatial distribution and clustering of these five risk factors. The spatial distribution of children <5 years with clubfoot and the population density differ widely across the different sub-districts of Bangladesh. Analysis of risk factor distribution and cluster analysis showed areas at high risk for dropout in the Northeast and the Southwest, with poverty, educational attainment and working in agriculture as the most prevalent driving risk factor. Across the entire country, twenty-one multivariate high-risk clusters were identified. As the risk factors for drop-out from clubfoot care are not equally distributed across Bangladesh, there is a need in regional prioritization and diversification of treatment and enrolment policies. Local stakeholders and policy makers can identify high-risk areas and allocate resources effectively.

Early Warning of Poverty Returning against the Background of Rural Revitalization: A Case Study of Two Counties in Guangxi Province, China

China has achieved the goal of building a moderately prosperous society in a well-rounded way by 2020. At this stage, effectively dealing with poverty and not returning to it has become the bottom-line task of rural revitalization. The purpose of this study is to construct a poverty-return early warning and evaluation system for X and Y counties in Guangxi. Based on the field survey data of 150 households from the questionnaire survey in X County and Y County of Guangxi Province, an early warning evaluation system for returning to poverty in the two counties of Guangxi Province is constructed. The AHP analytic hierarchy process is used to evaluate the early warning of returning to poverty for farmers. The BP neural network algorithm is used to verify the rationality of the method; the overall poverty relief situation in the two counties is stable and the living conditions are good. The early warning results are as follows: One household in X County has a severe early warning, six households have a slight early warning, and sixty-four households have no early warning; in Y County, six households had severe early warning, six households had mild early warning, and sixty-seven households had no early warning. For farmers, serious early warnings are mainly caused by the lack of labor force and low annual per capita net income, as well as the lack of the main means of livelihood and capacity. The characteristics of mild early warnings for farmers are mainly that the proportion of non-labor income is relatively high, and the farmers lack the ability and way of long-term development. Different suggestions are put forward for farmers with different early-warning levels, focusing on improving their viability and development ability.

Research on the long tail mechanism of digital finance alleviating the relative poverty of rural households.

Digital finance provides a long-tail mechanism for alleviating relative poverty caused by unequal opportunities and rights. According to the inference of an improved Cobb-Douglas production function and Ramsey-Cass-Koopmans two-stage household consumption model, the long-tail mechanism for digital finance to alleviate the relative poverty of farmers includes productive investment mechanism, credit mechanism, financial asset allocation and entrepreneurial mechanism. An empirical analysis of 11,519 rural households across China based on CHFS2019 data shows that digital finance can significantly and steadily alleviate relative poverty by improving credit availability and promoting household entrepreneurship, while its effect on increasing productive investment opportunities and optimizing financial asset allocation is less certain. Therefore, it is necessary to continue to improve the "blood making" long tail mechanism of digital finance for farmers' credit and innovation and entrepreneurship, and at the same time guide the digital finance to empower the development of rural industries to increase farmers' productive investment opportunities, cultivate endogenous growth momentum, and improve the wealth allocation function of rural digital financial market.

Farm size limits agriculture's poverty reduction potential in Eastern India even with irrigation-led intensification.

Millions of people living in the Eastern Gangetic Plains (EGP) of India engage in agriculture to support their livelihoods yet are income poor, and food and climate insecure. To address these challenges, policymakers and development programs invest in irrigation-led agricultural intensification. However, the evidence for agricultural intensification to lift farmers' incomes above the poverty line remains largely anecdotal. The main objective of this study is to use a large household survey (n=15,572; rice: 8244, wheat: 7328; 2017/18) to assess the link between agricultural intensification and personal daily incomes from farming (FPDI) in the rice-wheat systems of the EGP - the dominant cropping system of the region. We use the Intensification Benefit Index (IBI), a measure that relates farm size and household size to FPDI, to assess how daily incomes from rice-wheat production change with irrigation-led intensification across the EGP. Relative to the international poverty line of 1.90 Purchasing Power Parity (PPP)$ day-1 and accounting for variations in HH size in the analysis, we found that small farm sizes limit the potential for agricultural intensification from irrigation to transform the poverty status of households in the bottom three quartiles of the IBI. The estimated median FPDI of households with intensified systems in the bottom three quartiles is only 0.51 PPP$ day-1 (a 0.15 PPP$ gain). The median FPDI increases to 2.10 PPP$ day-1 for households in the upper quartile of the IBI distribution (a 0.30 PPP$ gain). Irrigation-led agricultural intensification of rice-wheat systems in the EGP may provide substantial benefits for resilience to climatic change and food security but achieving meaningful poverty reduction will require complementary investments. Transforming the poverty status of most smallholder farmers in the EGP requires diversified portfolios of rural on- and off-farm income-generating opportunities. While bolstering food- and climate security, agronomic intervention programs should consider smallholders' limited monetary incentives to invest in intensification. Irrigation-led agricultural intensification programs and policies should explicitly account for the heterogeneity in household resources, irrigation levels, and degree of dependence on agricultural income.

Stakeholder perspectives on cocoa’s living income differential and sustainability trade-offs in Ghana

Policy responses to balance the trade-offs between nature conservation and socioeconomic development have recently come to the fore in Ghana – the world’s second largest producer of cocoa. In 2019, the Government of Ghana introduced the Living Income Differential (LID), which requires buyers to pay an additional US$400 per ton of cocoa on top of the floor price. With low farmer incomes identified as a critical driver of multiple sustainability issues in Ghana’s cocoa sector, this differential is meant to be directly transferred to cocoa farmers in response to the persistent challenge of poverty in cocoa farming communities. Using the Q methodology, we engaged over 50 stakeholders from various levels (international policy experts, cocoa sector stakeholders in Ghana, and cocoa farmers) to understand how the LID is perceived, including its potential to transform the rural poverty complex embedded in Ghana’s cocoa supply chain. While the LID is lauded for increasing producer price across the board, our findings indicate that the lack of regard for farmer diversity (i.e., tenure rights, sharecroppers, and caretakers), farm size, and land management strategies (agroforestry versus clearing forest to establish farms) risks undermining the ability of this pricing mechanism to reduce farmer poverty. Further, the LID is siloed from on-going sustainability governance efforts in the sector, such as zero deforestation cocoa. If the LID is delivered to farmers across the board without any quid pro quo for how cocoa is produced, the policy’s unintended consequences may include increasing deforestation in the short term, while lowering the world market price of cocoa in the long term as cocoa supply increases. We conclude with policy implications on why different perspectives matter in managing sustainability trade-offs in deforestation frontiers.

Alleviating Relative Poverty in Rural China through a Diffusion Schema of Returning Farmer Entrepreneurship

Addressing poverty is one of the United Nations’ Millennium Development Goals. Alleviating relative poverty by stimulating the endogenous motivation of poor people to improve their ability for self-proliferation and diffusion is the focus of attention worldwide. China, as the world’s most populous country, has already left absolute poverty, and the vast rural areas are facing the challenge of managing relative poverty. We use the Delphi method to select three representative cases from the typical cases of rural entrepreneurship published by the Ministry of Agriculture and Rural Affairs, and describe the diffusion process and poverty reduction effect of returning farmers’ ‘entrepreneurship’ through the whole process analysis method. We found that the entrepreneurship diffusion model based on returning farmers has a bright future and great potential to improve rural poverty. Using family and local ties and the internet, returning farmers can effectively spread their entrepreneurial experience to other poor households, lowering their entrepreneurial risks and barriers, and thus collectively bringing more farmers out of poverty. The entrepreneurship diffusion of returning farmers can increase farmers’ income, promote the employment and entrepreneurship of poor households and improve the rural ecological environment, thus alleviating the multidimensional poverty of farmers in economic, social and ecological aspects. This provides an experience and reference for developing countries to solve the problems of poverty, especially poverty governance in rural areas. It is worth noting that implementing the diffusion of entrepreneurship among returning farmers requires the support of appropriate policies and the active participation of local governments.