Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data

While it is often recognised that agricultural technology adoption decisions are intertwined and best characterised by multivariate models, typical approaches to examining adoption and impacts of agricultural technology have focused on single technology adoption choice and ignored interdependence among technologies. We examine farm‐ and market‐level impacts of multiple technology adoption choices using comprehensive household survey data collected in 2010/11 and 2012/13 in Ethiopia. Economic surplus analysis combined with panel data switching endogenous regression models are used to compute the supply shift parameter (K‐shift parameter), while at the same time controlling for the endogeneity inherent in agricultural technology adoption among farmers. We find that our improved technology set choices have significant impacts on farm‐level maize yield and maize production costs, where the greatest effect appears to be generated when various technologies are combined. The change in maize yield and production costs results in an average 26.4% cost reduction per kilogram of maize output (the K‐shift parameter). This increases the producer and consumer surpluses by US$ 140 and US$ 105 million per annum, respectively. These changes in economic surplus help to reduce the number of poor people by an estimated 788 thousand per year. We conclude that deliberate extension efforts and other policies that encourage integration of technologies are important for maize technologies to yield their full potential at both farm and market levels.     

Rural 'Community', Chiefs and Social Capital: The Case of Southern Ghana

Social capital emphasizes community and social cohesion as the foundation of development. In Africa, this has prompted the promotion of traditional authorities as agents of development because chiefs and elders are assumed to embody communal norms. Critics have argued that this vision is ahistorical. In response, social capitalists have attempted to 'historicize' their analyses. But in many cases, 'history' simply refers to the micro-level production of trust, networks and norms. From a historian's perspective this is problematic because it ignores historical processes that often produce social hierarchies and inequality within 'traditional' communities. Using a case study from southern Ghana, I argue that, because of their particular view of history, many social capitalists remain blind to differentiation and conflict at the community level. As a result, social capital-driven projects run the risk of reproducing deeply rooted inequalities.     

Climate Change,Crop Selection and Agricultural Revenue in Ghana: A Structural Ricardian Analysis

We apply a Structural Ricardian Model (SRM) to farm‐level data from Ghana for seven principal food crops in order to model the factors which influence farmers' decisions about which food crops to grow and the revenue conditional on these choices. Our application of the SRM incorporates a flexible functional form to allow for the possibility that the effects of temperature and rainfall may not be linearly separable. We use this model as a basis for simulations of the effects of climate change. These simulations suggest that extreme climate change will lead to a significant reduction in the average net revenue per hectare from maize, which accounts for over half of current food production. Across a range of climate change scenarios, there is also substantial substitution of maize for heat‐tolerant millet, and a reduction in the cultivation of other crops. Under most of the climate change scenarios that we consider, these results imply a substantial reduction in the aggregate value of agricultural production, since millet is the lowest‐value crop.     

Adaptation and Climate Change Impacts: A Structural Ricardian Analysis of Farm Types in Germany

Based on farm census data, we explore the climate‐dependent incidence of six farm types and the climate‐induced impacts on land rental prices in Germany. We apply a structural Ricardian approach by modeling the dominant farm type at 9,684 communities as depending on temperature, precipitation and other geographic variables. Rents per farm type are then modeled as depending on climate and other conditioning variables. These results allow the projection of the consequences of climate change as changes in our climate variables. Our results indicate that permanent‐crop farms are more likely to dominate in higher temperatures, whereas forage or mixed farms dominate in areas of higher precipitation levels. Land rental prices display a concave response to increases in annual precipitation, and appear to increase linearly with rising annual temperature. Moderate‐warming simulation results for future decades benefit most farm types but seem to penalise forage farms. Rental prices are projected to increase, ceteris paribus, for all farm types.     

Sustainable agricultural intensification practices and cost efficiency in smallholder maize farms: Evidence from Ethiopia

Sustainable agricultural intensification (SAI) practices have been promoted in developing countries to improve farm productivity and environmental services. However, it is still unclear whether use of a combination of SAI practices has a significant influence on the cost efficiency of smallholder farms. This study investigates whether the cost efficiency of smallholder maize producers in Ethiopia depends on use of input-augmenting and agronomic SAI practices. Stochastic cost frontier models that account for heterogeneity across farms are used for estimation. We find that the use of individual SAI practices increases cost while the combined use of the practices reduces it. The marginal effect on cost reduction is substantial when SAI practices are set at their sample maximum levels. Overall, the results demonstrate the benefit of using a combination of SAI practices in minimizing production cost while addressing the adverse effects of soil degradation and climate variability. To enhance food security, smallholder farm incomes and the sustainability of production in developing countries, policy programs should focus on promoting packages of input-augmenting and agronomic SAI practices.     

农户生计资本禀赋对不同模式农地整治增收脱贫的影响——以湖北恩施和贵州毕节为例

研究目的:探索农户生计资本禀赋对不同模式农地整治增收脱贫的影响。研究方法:有序Logistic模型。研究结果:农户生计资本禀赋对两种模式农地整治的增收脱贫均有显著影响,影响显著的生计资本指标对PPP模式农地整治增收脱贫的边际效应高于政府主导模式。研究结论:政府应该引导龙头企业等社会资本积极参与农地整治扶贫,以提高PPP模式农地整治扶贫项目的比例;加强农地整治扶贫与其他精准扶贫手段相结合,以促进农地整治区农户全部脱贫。     

Poverty, Risk Aversion, and Path Dependence in Low-Income Countries: Experimental Evidence from Ethiopia

In most low-income countries, rural households depend on mixed rain-fed agriculture/livestock production, which is very risky. Due to numerous market failures, there are few ways to shift risks to third parties. The literature has focused on what determines the responses of households in such environments. Of special concern are path dependencies in which households experiencing failure are prone to further failure and potential poverty traps. This paper estimates levels and determinants of risk aversion in the highlands of Ethiopia. We find high risk aversion and evidence that constraints have important impacts on risk-averting behavior with perhaps significant implications for long-term poverty. The results also suggest the possibility of path dependence and offer insights into links between risk aversion and poverty traps.     

Specialization and Diversification in Agricultural Transformation: The Case of West Punjab, 1903–92

In this article, the role of crop specialization and diversification in agricultural transformation is investigated empirically. Changes in aggregate land productivity are associated structurally with inter-crop and inter-district reallocation of land use. Results from a region with the oldest history of agricultural commercialization in developing countries show that cropping patterns of subsistence agriculture changed substantially, with rising concentration of crop acreage in districts with higher and growing productivity. Rapid specialization in crop production was observed at the district level recently, after a phase with sporadic specialization. These changes reflected comparative advantage and contributed to the improvement in aggregate land productivity.     

Vulnerability of Rural Communities to Change in an Ecosystem Service Provision: Surface water supply. A Case Study in the Northern Andes,Colombia

The understanding of how socio-ecological systems respond to environmental change is an essential issue in land use planning processes. Vulnerability analyses in the context of socio-ecological systems are a useful tool to this end. The study of social vulnerability seeks to analyze how the characteristics of beneficiaries of ecosystem services and their relation to the ecosystems, determine their sensitivity and their capacity to adapt to changes in the provision of said services. In this paper, we evaluate the social vulnerability of rural communities in the face of changes in the levels of the provision of surface water in the Riogrande basin, which is located in the Northern Andes in Colombia. Social vulnerability is evaluated based on two components. First, the initial, inherent vulnerability, which depends on parameters such as current level and the change in the level of benefits, types of needs met by the ecosystem service analyzed, and the capacity for substitution. The second component is the final, inherent vulnerability that considers the beneficiary’s adaptive capacity determined by individual and institutional characteristics. The information was collected through semi-structured interviews and site-level surveys, as well as the use of available existing data for the area of study. The results show that beneficiaries of the ecosystem service which was analyzed have a low vulnerability to changes in the levels of water supply given their high substitution capacities and medium-high adaptive capacity.     

Farmers’ constraints,governmental support and climate change adaptation: Evidence from Guangdong Province,China

While climate change is widely acknowledged, the role of government support in adaptation is less understood. We narrow this knowledge gap by modelling adaptation as a three‐stage process where a farmer sequentially decides: (i) whether there is a need for adaptation; (ii) whether there are constraints that prevent adaptation; and (iii) whether such constraints are removed through government support. We develop a triple‐hurdle model to describe this decision‐making process and empirically estimate the impact of government support using a rural household survey from Guangdong Province, China. It is found that government support is positively associated with raising the odds of adaptation by about one quarter. This magnitude is larger than the estimates in recent literature, suggesting government support is more effective for farmers bound by constraints. Therefore, for cost‐effective policy outcomes there is a need to identify the constraints and the farmers facing them.     

Rural Population Growth, 1950–1990: The Roles of Human Capital, Industry Structure, and Government Policy

Human capital raises rural incomes, but this effect is swamped by higher returns to human capital in urban markets. This leads to "brain drain" from rural areas. Populations grow more rapidly in rural counties that have a diversified employment base. Farm population grows faster (or declines more slowly) in counties with relatively high farm income, and nonfarm populations grow faster in counties with relatively high nonfarm income. However, higher farm incomes lead to slower nonfarm population growth and vice versa. Rural county government services financed by local taxes or debt have neutral or negative effects on population growth.     

Climate Risk and Technology Adoption in the Midstream of Crop Value Chains: Evidence from Nigerian Maize Traders

Climate induced events exacerbate food production and distribution risks, posing a threat to global food security. Though many studies focus on farmer adaptation to climate change, there are few studies of actors in the middle of agricultural value chains such as traders, logistics providers, and processors. The activities of these actors, referred to as the ‘hidden middle’, are key determinants of the prices received by farmers and the price and quality of food products for consumers. We explore how climate events and risk perceptions affect the adoption of value‐adding and damage control strategies among maize traders in Nigeria, Africa’s largest economy and most populous country. We find consistent evidence that climate events and climate risk perception discourage the adoption of value‐adding practices including storage. This potentially affects the availability and price of maize for consumers (household and industry) in the lean season. However, once traders store maize, climate risk does not affect the adoption of damage control, but training and social networks do. These findings suggest that actors in the midstream of food value chains are responding to climate change and more attention needs to be paid to these actors to maintain the availability of affordable and safe maize products throughout the year. There is also a need for strategies to reduce the risks of trading activities due to climate change.     

退耕还林背景下农户收入的社会网络效应分析 ——以四川南江县白滩村为例

研究目的:探讨退耕农户在生产力安排和收入结构方面是否存在同群效应或者互补效应,以及劳动力流动、退耕还林政策因素对农户收入结构的影响机制。研究方法:考虑农村社会网络内部农户间互动对其决策的影响,利用空间权重矩阵精确且全面地捕捉和定位社会网络复杂关系,构建空间计量模型展开分析。研究结果:(1)在白滩村社会网络体系中,农户的农业收入比增长1%,其亲戚邻居的家庭农业收入比降低6.7%,这一情况反映了劳动力由农业部门向非农部门转移而产生的社会网络"互补效应";(2)白滩村退耕程度越高的农户,其农业收入占家庭总收入比例就越高,退耕程度每增加1%,农业收入比将提高5.2%;(3)家庭总劳动力越多的,农业收入占总收入比例越低,其中家庭农业劳动力每流出1%,农业收入比减少3.2%。研究结论:(1)将白滩村社会网络的互补效应应用于其农村信息共享平台建设;(2)通过鼓励种植收入较高的经济林提高农民退耕还林积极性;(3)以就业为核心促进白滩村剩余劳动力转移。     

社会保障，非农收入预期与宅基地退出决策行为—— 基于上海市金山区、松江区等经济发达地区的实证分析

研究目的:实证分析政府主导宅基地退出的背景下,经济发达地区农户退出决策行为的影响因素,为制定相关政策提供依据。研究方法:农户调查法,统计分析法,Logistic回归分析法。研究结果:上海市郊区愿意将宅基地退出的农户所占比例高达66.91%;根据其作用程度,对宅基地退出决策行为具有显著影响的变量是有无城镇保障、非农收入预期、有无城镇住宅、安置区基础设施状况、补偿合理程度、宅基地区位状况及教育程度。研究结论:在上海市等经济发达地区,宅基地退出时机比较成熟,农户在退出宅基地后可以获得稳定的社会保障和非农收入,退出意愿较高。因此在宅基地退出的实践中,建议政府首先要充分结合实践地区的经济发展水平,完善社会保障体系,探索满足农户的合理预期收益的补偿标准,建立促进失地农户就业稳定和收入稳定的长效机制。     

退耕还林工程对西部农户收入的影响:对西安周至县南部山区乡镇农户的实证分析

研究目的:分析研究退耕还林工程对西部山区农户收入的影响和作用。研究方法:利用西安交通大学人口与发展研究所2008年4月在周至南部山区的农户生计调查数据,建立统计回归模型,分别采用多元线性和分位数回归分析方法,定量分析退耕还林工程对西部山区农户收入的影响。研究结果:参与退耕还林对农户家庭纯收入有着显著的正向影响,尤其是对于中低收入农户,但参与退耕通过户耕地面积和农业劳动时间变化对中低水平的农户收入也仍有一定的负面作用。研究结论:为巩固退耕工程成果,当地政府应提供信息,提高农户的社会资本,积极发展外出务工等非农生产活动。