Farmers’ perceptions and management of risk in rice/shrimp farming systems in South-West Coastal Bangladesh

Farmers in Bangladesh face considerable risk due to fluctuations in biophysical and economic conditions, but the response to these risks is poorly understood. In particular, there is a need to better understand the endogenous management of risk in the rice/shrimp farming systems that have emerged in the inner coastal zone of Bangladesh. This paper draws on a case study of a typical rice/shrimp farming village in Khulna District to explore: (a) farmers’ perceptions of risks and their management responses, (b) risk-return trade-offs within small-, medium-, and large-farm households, and (c) the role of other farm and non-farm activities in mitigating risks to household livelihoods. Farm-level data were collected through a reconnaissance survey, a village census, household case studies, and a sample survey of 73 households. Representative farm budgets were constructed for the three farm-size classes. The key performance indicators calculated were gross margin (GM), net income (NI), and GM per workday of family labour. The riskiness of the rice/shrimp system was assessed for each farm type using farmers’ estimates of low, normal, and high yields and prices to specify triangular distributions. Cumulative distribution functions (CDFs) for GM, NI, and GM per workday were generated. A whole-farm economic analysis was also conducted to assess the relative contributions of different sources of income for each farm type. With access to saline water for shrimp farming in the dry season and fresh water for rice in the wet season, farmers have developed and progressively adapted an alternating rice/shrimp farming system that has minimised the trade-offs between the two crops and provides a good return to household and village resources for all farm types. The system is subject to significant production and market risks, especially the shrimp component. However, farmers have clearly perceived these risks and ameliorated them through a range of production, marketing, and management strategies. With these risk management practices, the rice/shrimp cropping system is economically viable, given the current variation in yields and prices. The greater risk associated with the shrimp component was offset by the renewed stability of the rice component over the past decade, and the risks of the whole cropping system were offset by other farm and non-farm sources of livelihood. Development interventions need to work with farmers to provide further options (suitable rice varieties, solutions to shrimp disease, improved village and transport infrastructure) if this resilience is to be maintained.     

基于韦伯二重合理性的农户生态耕种行为分析

目的 基于韦伯二重合理性理论框架,通过对传统农业大省江西省农户生态耕种行为理性的评价,分析农户生态耕种行为主要因素的影响规律,为农户生态耕种激励政策的制定提供参考。方法 文章以江西省农户为调查对象,采取分层抽样和随机抽样相结合的方式选取样本农户,针对户主或是参与农业经营决策的家庭主要成员开展访谈和问卷调查相结合的入户调查。利用获取的1 488份有效问卷数据,通过层次分析-熵值定权法确定农户生态耕种理性评价指标权重并进行评价,得出农户生态耕种行为理性的评价值。运用Order-Probit模型分析二重合理性理论框架下农户生态耕种行为的工具理性、价值理性及其交互以及其他主要因素的影响规律。结果 （1）样本农户平均采纳生态耕种行为4.735项,工具理性评价均值为0.546 8,价值理性评价均值0.354 2,丘陵区农户生态耕种行为工具理性和价值理性值比平原、山地区更高。（2）当前,工具理性在农户生态耕种行为采纳上起到消极的抑制作用,价值理性起到积极的促进作用,而二重合理性的冲突减弱了农户生态耕种采纳率。（3）家庭劳动力占比越高、耕地收入占比的提高,农户采取生态耕种行为的可能性越高,而促进小农户向新型农业现代经营主体的转变是提高农户生态耕种行为采纳的有效途径之一。（4）农户保留仅供自家消费的耕地说明其对耕地生产的安全性持有疑虑,更加愿意进行生态耕种以保持耕地和农产品健康。结论 需要积极落实生态农产品的补偿,完善有关法规制度和质量监管,实现生态耕种的产品价值,以达到农户追求效益的工具理性与耕地保护的价值理性之间的协调统一。     

The links between management's critical success factors and farm level economic performance on dairy farms in Sweden

Management's critical success factors (MCSFs) are used to indicate how farm profits develop, but their usefulness as profitability predictors has previously not been analyzed statistically. This paper explores the usefulness of some commonly used MCSFs in Swedish dairy farms, by investigating whether the MCSFs are significant predictors of economic efficiency. Further, the paper takes a comprehensive view of evaluating farm level efficiency, in that all major input and output efficiency scores are estimated. Previous literature has focused on only one score, or on only one perspective. Our results show that cost efficiency is the more problematic part of the profitability process. Especially the allocative part needs to be improved. Moreover, the results show that the MCSFs milk quality, herd fertility and involuntary culls ratio may not work as indicators of economic performance, whereas milk yield per cow and the mastitis ratio are significant indicators.     

Toward a Behavioral Model of Multiple-Job-Holding Farm Families

This paper applies a multidimensional method and a structural approach to the results of research based on a field survey on the origins of pluriactivity and on the attitudes of farm families toward multiple job-holding and full-time farming. Multiple correspondence analysis makes it possible to consider jointly, from a static and dynamic point of view, several quantitative and qualitative variables concerning the family, the farm, and the socio-economic context. A typology of seven groups of farm families is established by means of cluster analysis. The typology shows that the dichotomy between pluriactive and full-time farms does not account for all of reality: a great deal of diversity exists within both groups. The major factors which explain pluriactivity and condition its performance are identified and interpreted. The implications, in term of agricultural, socio-economic and environmental policy, of the evolution of the family farms of each type are then described and analyzed. The essay concludes that future research on pluriactivity ought to pay more attention to the dynamic variables originating both within the farm families and in the socio-economic context.     

Risk preference and optimal enterprise combinations in Kahuro division of Murang'a district, Kenya

Financing smallholder farming has been one of the major concerns of Kenya's agricultural development efforts. Many credit programs have evolved over the years but with dismal performance. In a study that sought to find the best way to finance smallholder agriculture, it became necessary to analyze and document, in the first place, the farmers' preferred enterprise patterns. Any financial innovations would hence address the preferred patterns. Of particular interest was the effect of risk preference on such patterns, which had been ignored in many previous farm management studies. Murang'a district was chosen as a typical smallholder district. Sample farmers, obtained through cluster sampling, were visited and structured questionnaires administered to cover farm events and physical resources of short rains 1995 to long rains 1996. This formed a basis for formulating the farm patterns. A quadratic programming model was used to analyze observed farm plans. The model incorporates farmers' risk preferences, revenue fluctuations, and resource and subsistence restrictions. The results showed that: (1) changes in risk preference do affect the optimal crop combinations; (2) the typical cropping pattern is rational as the farmer meets both food and cash under modest variability of income; (3) insisting on producing most subsistence food requirements by the farmers reduces efficiency and limits the feasible plans.     

Off‐farm employment and reasons for entering farming as determinants of production enterprise selection in US agriculture

In today’s agriculture, farmers consider off‐farm employment and lifestyle goals in complex ways to select production enterprises. Data from USDA’s Agricultural Resource Management Survey were used to examine how off‐farm employment and ‘reasons for entering farming’ influence production enterprise selection in US agriculture. A two‐stage analysis with a multivariate tobit model was used to examine the impact of off‐farm employment as influenced by government farm programme payments, reasons for entering farming, demographics and location on production enterprise selection. Results underscore the impacts of reasons for entering farming and off‐farm employment on production enterprise choice and provide implications for policy development. The study highlights the importance of government farm programme payments in production enterprise selection by US farmers.     

Managing complexity in modern farming*

Modern farming in Australia is no longer simple. Farms are large, multi‐enterprise businesses underpinned by expensive capital investments, changing production technologies, volatile markets and social challenges. The complexity of modern broadacre farming leads to the question: what is the nature of the relationship between farm business complexity and farm profitability? This study uses bioeconomic farm modelling and employs eight measures of complexity to examine the profitability and complexity of a wide range of broadacre farming systems in Australia. Rank order correlations between farm profitability and each measure of complexity show inconsistent relationships, although the most profitable farming systems are found to be reasonably complex on several criteria. Among the set of highly profitable systems are found some characterised by less complexity. A commonly acknowledged feature of farm business complexity is the annual workload of the farmer, yet the trade‐off between farm profit and this workload is found not to be large. A case is outlined where the farmer’s annual hours worked could be reduced by 9 per cent for a 3 per cent reduction in farm profit. If farmers’ workloads are proving problematic now, and in the future, then agricultural R&D, service delivery and policy development will need to focus more on being highly attractive to increasingly time‐poor farm managers.     

Measuring and causes of inequality in farm sizes in the United States

This article examines the notion of farm size inequality expressed as sales inequality in the United States. The farm size index (FSI) is developed as a measure of farm size inequality. FSIs are calculated for the farming sector in all 50 states and large variation in farm size across the states and over time is determined. The largest FSIs are calculated for a number of Southern, Southwestern, and Pacific states. Increasing FSIs over time are observed in all states as well. The spatial and temporal (between 1987 and 1997) differences in FSIs are explained by running a pooled, cross‐sectional time‐series model. The most influential variables accounting for the differences have to do with the ownership structure, where a larger presence of individual and family farms relative to corporate farms and cooperatives leads to a lower degree of farm size inequality. Also, states and regions having relatively larger number of farms owned by minorities have higher FSIs. Shrinking opportunities in the agricultural sector relative to the rest of the economy, primarily services, are reflected in a declining share of agricultural sector state income in total gross state product (GSP). This in turn leads to an increase in the farming sector's FSI suggesting that only larger, more profitable operations are the likely candidates to pursue farming activities. Finally, grains farming regions have all lower degree of farm size inequality than livestock or fruits and vegetables regions. Profitable grains farming requires relatively large farm size and equipment investments, which leads to a relatively homogeneous structure of grains farms. A larger variation in the size of profitable farm operations is possible in fruits and vegetables and livestock. This leads to the existence of a large number of very small but still sustainable farms, and a relatively small number of large farms that capture most of market sales share.     

Synergies between Farming and Rural Tourism: Evidence from Flanders

Support for rural development and agri-environment measures is often defended on the basis of the contribution of farming to the attractiveness of rural areas and the growing rural tourism sector. Farmers may benefit from the presence of tourism by offering accommodation or selling farm products to tourists. We analyse rural tourism data for Flanders to determine whether agricultural amenities contribute to the price rural tourists are willing to pay for lodging at a farm. We find that farming practices do indeed influence the attractiveness of an area for tourism and have an impact on the prices that can be charged for accommodation. Amenities from agriculture such as permanent grassland have a positive influence on rental prices. However, the presence of intensive agricultural and livestock farming and associated polluting activities decrease the attractiveness of rural regions for tourism. Farm tourism is found to make an important contribution to the farm income and economy of a rural region. Farm tourism constituted more than 30 per cent of the farm income of certain farms. Overall, our findings support the idea of major synergies between farming and rural tourism. Strengthening this relationship may therefore be a good strategy for countryside management and rural development.     

The Relationship between Animal Welfare and Economic Performance at Farm Level: A Quantitative Study of Danish Pig Producers

We propose a theoretical framework for the relationship between animal welfare and the economic performance of livestock farms. We empirically analyse this relationship based on a unique dataset of randomly sampled Danish pig herds that includes information from unannounced inspections of the compliance with the animal welfare legislation. We find large variations in economic performance and animal welfare. The relationship between these two indicators is rather weak, but tends to be slightly positive. A possible explanation for our results is that management has a major influence on both economic performance and animal welfare so that good farm managers are able to meet all animal welfare regulations, while achieving a high economic performance.     

Agricultural Subsidies and Rural Development

How consistent is a single farm payment system with rural development goals? A new economic geography model is used to compare coupled subsidies to ‘single farm payments’ effects on the location of farming, agro‐industry and non‐farm activity between rural and urban areas. This abstract model features a majority of employment in service sectors, farming vertically linked to manufacturing, and strong preferences for geo‐varieties. It appears that both coupled subsidies and single farm payments can decrease spatial agglomeration. But only the single farm payment policy raises welfare in both rural and urban regions of this stylised economy.     

The carbon footprints of food crop production

The agriculture sector contributes significantly to global carbon emissions from diverse sources such as product and machinery manufacture, transport of materials and direct and indirect soil greenhouse gas emissions. In this article, we use farm survey data from the east of Scotland combined with published estimates of emissions for individual farm operations to quantify the relative contribution of a range of farming operations and determine the carbon footprint of different crops (e.g. legumes, winter and spring cereals, oilseed rape, potato) and farming practices (conventional, integrated and organic). Over all crops and farm types, 75% of the total emissions result from nitrogen fertilizer use (both organic and inorganic)—from production, application, and direct nitrous oxide emissions from the soil resulting from application. Once nitrogen is accounted for, there are no major differences between organic, integrated or conventional farming practices. These data highlight opportunities for carbon mitigation and will be of value for inclusion in full life cycle analyses of arable production systems and in calculations of greenhouse gas balance associated with land-use change.     

The highly variable economic performance of European agriculture

The successive reforms of the Common Agricultural Policy (CAP), the enlargements of the European Union (EU) and the impacts of climate change have amplified the diversity of European agriculture. These rapid changes have resulted in the intensification of agricultural activities in some regions, while they have led to the marginalization of agriculture and its eventual abandonment in others. The objective of this paper is to investigate the factors that are behind the differential performance of agriculture across the EU-27 countries. Ward's, k-means and two-step clustering methods were used to classify European agriculture based on gross-value-added farm, land and labour productivity indicators. Significant differences were revealed between the Northern-Central counties and the continental peripheries (Mediterranean, Eastern, Northern Scandinavian). An exact logistic regression model was used to analyse the factors behind this differential performance. Agricultural sectors characterized by a young and better trained farm population are more likely to attain high economic performance. The odds to attain high economic performance are almost 9 times greater for countries with a highly trained farm population, namely, the Netherlands (72%) and Germany (69%), than for countries with poor farm training, while an ageing farm population such as in Portugal (72%) and Bulgaria (66%) is 92% less likely to be high performing. The importance of investments in agriculture was also identified. The significance of the wheat yield variable highlights the importance of both environmental conditions and technical efficiency on farm economic performance. Similarly, countries with a high share of utilized agricultural land in less favoured areas, such as in the Mediterranean, are 94% less likely to attain high economic performance. The redesign of CAP direct payments between old and new member states after 2013 combined with the impacts of agricultural trade liberalization and climate change are expected to deteriorate the position of low performing agricultural sectors further.     

FARM SYNDICATION AND RISK SHARING: A CASE STUDY*

The effectiveness of fully integrated group farming as a means of permitting farmers to achieve economies by working together and to share risk is investigated using two case-study farms from the mid-north region of S.A. Linear programming is used to explore the scope for economies achievable through group farming. The results show that, by joint use of resources, total net farm income can be increased and average costs per unit value of output can be reduced. The risk-sharing advantages of group farming are examined using quadratic risk programming. A group farm plan is found that generates a risky income which, when shared between the two risk-averse farmers, allows both to increase their expected utilities. The group plan also generates a higher aggregate expected net farm income than with sole ownership.     

Survey and Analysis of Labour on Organic Farms in the UK and Republic of Ireland

A survey of 1144 organic farms in the UK and Republic of Ireland (IE) was used to assess whether organic agriculture provides more labour than conventional (nonorganic) farming. The sampled farms comprised 23% of all organic farms. The jobs per farm and per area varied greatly with enterprise type and farm size, and between regions. Comparison of the survey with national statistics showed that organic farms employ 135% more FTE (full time equivalent jobs) per farm than conventional farms. The mean jobs per area was markedly lower for organic farms (1.35 compared to 2.43 FTE per 100 ha), because they are larger (216 ha compared to 51 ha). Even when corrected for the different size distribution, organic farms had more jobs per farm than the national averages (2.52 and 1.49 FTE for the UK and IE, compared to 1.28 and 1.16 FTE). The farm size weighted FTE per area for organic farms in the UK (4.33 FTE per 100 ha) was almost twice that for conventional farms. We predict there would be 19% and 6% more farming jobs in the UK and IE if 20% of the farms of both countries were to become organic (compared to the present 1–2%).     

Comparing economic performance of organic and conventional U.S. beef farms using matching samples*

Economic performance measures of organic and transitioning‐to‐organic cow–calf farms are compared with those of non‐organic cow–calf farms. A method of matching samples is used for the comparison, estimating sample average treatment effects for the subpopulation of the treated. Each organic farm is matched with one non‐organic farm that is involved in the same beef industry segments and farm size classes, and in the same region. Furthermore, farmer demographic, farming system, and technology variables are used to identify matches. Bias is reduced by estimating separate weighted regression functions for the treated and untreated groups. Results suggest that higher cost of organic production is due primarily to higher capital recovery, taxes and insurance, and overhead costs. Evidence is found for differences in beef enterprise profitability by organic status.     

Microdata: a critical source for policy evaluation

The FLINT project (Farm Level Indicators for New Topics in policy evaluation) was aimed at testing the feasibility of collecting data on the sustainability performance of farms through the European Farm Accountancy Data Network (FADN). The project defined a list of sustainability themes based on an assessment of policy needs, the existing literature and a review of national initiatives to measure sustainability. Data were collected in nine Member States (Finland, France, Germany, Greece, Hungary, Ireland, the Netherlands, Poland and Spain) from 1,100 farms of different types. Although some problems were encountered, mainly due to the initial pilot project character of FLINT, we conclude that data collection is feasible, whatever the way a Member State has organised its data collection for FADN. The FLINT project has investigated options for upscaling the results from 9 to 28 Member States to create a representative panel with farm‐level sustainability data. This leads to the conclusion that the most attractive option is to reduce the current FADN sample in order to provide the sustainability data that are urgently needed for improved policy evaluation. This could be done without sacrificing information on other important indicators, such as income from farming.     

Environmental Stewardship and Technical Efficiency in Canadian Prairie Canola Production

This study examines beneficial management practice (BMP) adoption and technical efficiency for canola producers in the Canadian Prairie Provinces. A Just‐Pope stochastic frontier production function is estimated using data from a survey of canola producers. Yield is modeled as a function of nutrients and precipitation. A linear inefficiency function includes farm specific variables and a set of binary variables representing BMP adoption. BMP variables for nutrient management planning and precision farming are positively related to technical efficiency while results for the other BMP indicators are mixed. Model estimates appear to be significantly influenced by moisture problems that occurred through the Prairie region during the 2011 cropping year. The study results suggest that for Western Canadian canola producers, there is potential complementarity for some BMPs in terms of improving technical efficiency while simultaneously advancing environmental stewardship.     

Vertical coordination and farm performance: evidence from the catfish sector in Vietnam

Using an original dataset from the Vietnamese catfish sector, I analyze the impact of vertical coordination options, namely, contract farming and vertical integration, on farm performance, which is measured in terms of yields and revenue per hectare. The effects of vertical coordination are estimated using a maximum simulated likelihood estimator and a two‐stage least square regression with instrumental variables to account for endogenous farm and household characteristics and selection on unobservable characteristics. The results show that vertically integrated farms have substantially higher yields and revenue per hectare than nonintegrated farms. The levels of gains that can be attributed to integration are large and consistent under different estimation procedures, and there is no difference between nonintegrated and contract farms in terms of farm performance.