贫困地区农户对自然灾害风险规避和响应分析

[目的]研究影响贫困地区农户应对自然灾害风险,减少经济损失的因素,并分析农户采取应对损失的措施。[方法]利用2015年云南、贵州和陕西3省6县经历过自然灾害的819农户作为研究对象。采用Logit模型研究影响贫困地区农户有效规避自然灾害风险的因素,并进一步分析农户在遭受自然灾害后采取的响应策略。[结果]研究表明农户户主的受教育程度越高、与外界市场接触越紧密,则农户规避自然灾害风险能力越强;农户收入中农业收入比重高、家庭贫穷、家庭收入来源过于集中均不利于农户规避自然灾害风险。通过分析农户应对自然灾害损失的策略发现,农户在自然灾害冲击下,较多采用被动的应对策略,不善于拓展新的收入来源。采用降低生活质量、减少生活必要支出、寻找新的收入来源、金融手段和出售生产生活资料这5种应对策略的农户分别占整体受灾农户的16.36%、6.47%、14.65%、5.37%、4.03%和11.35%。[结论]为了增强贫困地区农户规避自然灾害风险的能力,首先需要加大对贫困地区的教育投资;其次,增加贫困地区与外界沟通交流的渠道,可以在偏远地区多修公路等;最后,应当积极引导农户拓展农业生产以外的收入来源,将收入来源多样化,降低农户农业收入在家庭收入中的比重,有效增强贫困地区农户应对自然灾害风险的能力。     

Rural household incomes and land grabbing in Cambodia

This paper empirically quantifies environmentally augmented rural household incomes in Cambodia and analyzes how economic land concessions (ELCs) affect such incomes. Data is derived from a structured survey of 600 randomly selected households in 15 villages in three study sites in Cambodia, where local livelihoods are highly reliant on access to land and natural resources, supported by qualitative data from focus group discussions. Gini coefficient decomposition, multiple regression models, and propensity score matching (PSM) models were employed to analyze the composition of income portfolios, determinants of major income sources, and the impacts of land grabbing on incomes. Results documented high reliance on environmental income (32–35% of total household income) and farm income (51–53%) across income quartiles; demonstrated the variation in product composition across quartiles and the contribution of each major product to income inequality; and identified the main household characteristics influencing absolute and relative incomes. ELCs were found to consistently have negative impacts on household total income, environmental income, size of available cultivable land and livestock holdings, and increasing the distance to forests. The total household annual income subjects to ELCs were estimated to decrease by 15–19%. While providing some employment opportunities, we find no evidence of positive income effects of ELCs on households in the areas where ELCs are located.     

Health care expenditures of self‐employed farm households in the United States

For self‐employed individuals and their families, purchases of health care services and health insurance policies have the potential to impact their health status, as well as the financial viability of their businesses. Most people in the United States receive health insurance coverage through employer‐sponsored programs. Self‐employed individuals and their households, such as farm households, may face a greater challenge in getting affordable health insurance. Using a large cross‐sectional farm household level dataset, we estimate the impact of the source of health insurance on health care expenditures of farm households in the United States. Results suggest that farm households purchasing individual health insurance directly from vendors are likely to spend more on health care than those with other sources of health insurance. After controlling for a variety of personal and local area characteristics, having health insurance was negatively related to total health care expenditures. Age and income, not surprisingly, were also found to be significant in explaining health care expenditures.     

PART TIME FARMING—IMPLICATIONS FOR FARM FAMILY INCOME

The Common Agricultural Policy has been more successful at securing food supplies than at providing adequate incomes for small farmers. Among proposals for resolving the problem, part time farming is a promising option. To date, agricultural policy has at best ignored farms below the ‘full time’ threshold, at worst discriminated against them. The new Agricultural Structures policy embodies a more positive approach, however. Robson's paper calls for better information on farm households with other gainful activities. Statistics from the 1983 Farm Structure Survey provide insight into the nature and extent of part time farming in the European Community. Neglect of part time farming in the UK up to now may have stemmed from its perceived irrelevance for agricultural policy. Now that it is being viewed in a more favourable light, policy makers need to be appraised of the facts. Currently about one third of main agricultural holdings in England and Wales are part time farms in the sense that farmer or spouse combines another paid job with farming. Gasson's paper explores the nature of these other jobs and features of their distribution. Following trends in other developed countries, non-farm activities are becoming increasingly important for UK farming families. Growth in part time farming has obvious implications for income support, widely agreed to be the fundamental objective of agricultural policy in western Europe. Existing farm income measures are not adequate for assessing the extent of the income problem in agriculture. Data from the Inland Revenue's Survey of Personal Incomes and the Wye College part time farming survey fill some of the gaps left in official measurements. Non-farming earnings, pensions and investment income contribute significantly to farm household incomes. A majority of part time farming families in England and Wales make more from other sources than from farming. Although average incomes of part time farmers may exceed those of full timers, Hill's paper identifies a section of part time farming families with inadequate incomes from all sources.     

FARM HOUSEHOLD BEHAVIOUR AND THE TRANSITION TO POST-PRODUCTIVISM

This paper proposes a theoretical framework for examining how farm households will respond to the reversal of productivist farm policies and applies this to a longitudinal study of farm households in upland Scotland over the period 1987-91. The paper argues that the actions of farm households may be understood not only in terms of their structural situation but also as an expression of the values and motivations which underlie behaviour (their disposition-to-act). A model is proposed, in which a farm household's disposition-to-act interacts with the internal resources of the farm and household, and with the external context (markets, policies, social and cultural values), in influencing behaviour. Empirically, this model is then used to explore changing farm structures, changing allocations of labour, changing sources of farm household income, and engagement with policy measures among a sample of 300 upland farm households. The results suggest that there will be considerable diversity in farm household behaviour during the transition to post-productivism, with widespread reluctance to adjust to the new imperatives.     

我国谷子种植户持续种植意愿的影响因素研究

文章通过对3个省(自治区)、5个市,268户谷子种植户的问卷调查,采用logit模型,使用逐步回归分析的方法,对影响谷子种植户持续种植谷子意愿的因素进行了分析。从户主个人基本情况、农户家庭情况、农户农业生产情况、谷子生产情况等4个方面共选择13项调查内容作为解释变量,以第2年是否持续种植谷子作为被解释变量,逐步回归分析结果表明:种植户种植业收入占家庭总收入的比重、种植户家庭耕地面积、谷子种植补贴通过了显著性检验。种植业收入占家庭总收入的比重与谷子持续种植呈显著负相关,比重越高持续种植意愿越低。谷子产量受自然因素影响大,农户从减小风险的角度出发,收入对种植业越依赖谷子的种植意愿越弱。家庭耕地面积与谷子持续种植呈显著正相关,家庭耕地面积越大,谷子被选择种植的机会也就越大,规模效应越明显,持续种植意愿越强。补贴对持续种植意愿呈显著正相关关系,种植补贴意味着更多的收益,积极性就越高。依据分析结果提出了要进一步提升对种植谷子的重视,加大科研投入力度,做好科技成果的转化与推广工作;要加大谷子种植补贴的力度、范围及内容,在良种、农膜、资金等方面对种植户给予支持与补贴,调动农户谷子种植的积极性;推进土地流转,在农户种植规模扩大过程中提高土地规模效益的政策建议。     

Analysing behavioural differences of farm households: An example of income diversification strategies based on European farm survey data

Different forms of income diversification represent important strategies of farmers to either cope with the changing economic framework conditions or to valorise given territorial potentialities. Nevertheless, the decision to diversify economic activities on or off the farm will heavily depend on the agricultural business and household characteristics. Our study used a survey of 2154 farms from eleven European regions to identify distinct farm types in order to investigate differences regarding the willingness to diversify in the future. Two scenario situations with continuation (baseline) and without any market intervention (“No CAP”) were tested. A factor and cluster analysis depicted six farm types both previously described and novel. The typology proved validity across all case studies, whereas single types occurred more frequently under specific site conditions. The six farm types showed strong variations in the stated future diversification behaviour. Young farm households with organic production are most likely to diversify activities particularly on-farm, whereas farm types characterised by intensive livestock holding and also already diversified and part-time farm households are least likely to apply this strategy. Results have further shown that under hypothetical conditions of termination of economic support by the Common Agricultural Policy (CAP) an increasing share of farmers – throughout all types – would apply income diversification, mainly off-farm diversification, as a survival strategy.     

Internet Access and Farm Household Income – Empirical Evidence using a Semi‐parametric Assessment in Taiwan

There is considerable literature examining individuals’ behaviour with respect to Internet use, but less attention is paid to farm household use of the Internet. Among the few studies on farm households, the emphasis is on the correlation between socioeconomic factors and the adoption of the Internet. Thus, relatively little is known about the association between Internet use and farm household well‐being. In an effort to fill this void, this paper investigates Internet access among farm households and examines the effects of Internet access on farm household income. Given the observed income gap between Internet users and non‐users, we then investigate the extent to which socioeconomic factors may be associated with this income gap. Using a nationwide survey of farm households in Taiwan, a novel econometric model is proposed and estimated employing a semi‐parametric technique. Our results support the conclusion that Internet use improves farm household income. Most of the income gap between adopters and non‐adopters can be explained by the differences in the return of the socioeconomic factors.     

Role of income diversification in reducing forest reliance: Evidence from 1838 rural households in China

Among a number of households worldwide, forest use and income diversification have been seen as substitute livelihood strategies: farmers with more diverse income sources face a higher opportunity cost in harvesting forests and so tend to rely less on forestry resources. The current study uses rural household survey data captured in the Chinese provinces of Fujian, Shaanxi, Hunan, and Jiangxi. It applies a Heckman regression model and a quantile regression model to determine the effect of income diversification on forest dependence. The three main findings of this study are as follows. (1) The mean income diversification index values in Fujian, Shaanxi, Hunan, and Jiangxi are 1.81, 1.46, 1.63, and 2.00, respectively; this indicates that livelihood activities within the study areas are limited. (2) When the income diversification index increases by 10%, the proportion of forest income to total income within the study areas decreases by 4–8%; this indicates that income diversification can significantly reduce a household's dependence on forest resources, especially among the poorest households. (3) For the top 20% of high-income households, the effect of income diversification on forest dependence is insignificant, but for the bottom 20% of low-income households, income diversification has a major impact in terms of reducing their forest reliance (6–10%). The findings of this study will help inform the design of alternative policies that could alleviate pressure relating to forest-resource protection.     

Who Receives Farm Government Payments?

If we do not systematically attempt to collect data and assess distributional impacts, we shall always be surprised by the many unintended consequences of our public decisions. (Bonnen 1969, p. 447) Direct government payments to farmers have tripled in the last half of the 1980s. Market price support programs (for example, the Western Grain Transportation Act, among others) and supply management regulation continue to be topics of debate among policy analysts. Certainly the debate has become intensified by the discussions surrounding the Canada-U.S. Trade Agreement and the Uruguay Round of talks under the General Agreement on Tariffs and Trade. When all census farms are distributed across gross sales classes, the “selected” programs included in this study tend to be more concentrated among the mid-sized farms than are aggregate gross sales. However, if one considers Prairie grain farms distributed across farm size classes measured in terms of grain acres, gross sales, net farm income (specifically, NCFIWF) and the net “benefits” of “selected” government programs are similarly concentrated. For example, Prairie farms with 320 to 599 acres of grain report 24% to 26% of each of these four items.²⁶ The “selected” programs included in this study tend to pay about the same size of payout per farm household, regardless of the size of household income. We obtain this result because farm size in terms of gross farm sales tends to be the same, regardless of the size of household total net income. Across the spectrum of farm financial stability classes, the net “benefit” of the “selected” programs in this study tend to be distributed similarly to gross farm sales. The results depend on exactly how one implements the classification but more than two thirds of gross sales and more than two thirds of net “benefits” of “selected” programs accrue to farms with a higher level of financial stability. Across the spectrum of rates of return on equity as an indicator of farm efficiency, about one third of gross sales and one third of net “benefits” of “ selected” programs accrue to farms with a rate of return on equity of 10% or more. The potential impact of deregulation of supply management depends on one‘ s assumption. Three scenarios are presented here and, in each case, both “winners” and “losers” are identified. Between 4% and 37% of households on farms with quota would move from above to below the Statistics Canada low-income cutoff (LICO), depending on the scenario under consideration. However, in each seen-ario, there are cases of households moving from below to above LICO as a result of our calculated impact of deregulating supply management. This paper takes its lead from Bonnen's observation about “unintended consequences.” We do not offer an “evaluation” of any government program. Our sole objective is to illustrate “distributional impacts” so that all individuals in the policy debate may speak from an informed perspective. This paper represents an initial step in developing an “informed perspective.” As the first note to this paper indicates, an important ancillary objective is to illustrate the potential of Statistics Canada databases to provide tabulations to answer specific Questions posed by researchers and policy analysts.     

A supply‐side analysis of agritourism: Evidence from farm‐level agriculture census data in Taiwan

Due to consumers’ increased demand for leisure and farmers’ need for income diversification, researchers and policymakers have significant interest in topics related to agritourism. This study provides a supply‐side analysis on agritourism using Taiwan as a case study. Utilising a sample of 720,148 family farms from the 2010 agriculture census survey in Taiwan, we quantify the effects of engaging in the agritourism business on farm income, on farm succession, and on family members’ labour supply decisions between on‐farm and off‐farm work. An analytical framework that combines the doubly robustness regression model and semiparametric estimation is proposed to address the endogeneity bias. Results indicate that participation in agritourism increases farm income and family farm succession. Farms engaging in agritourism also have more family members working on the farm, and fewer family members working off‐farm, compared to farms not engaging in agritourism. Although agritourism enterprises are developed to meet consumers’ demand for leisure, our results show that they also improve the economic welfare of farm households.     

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.     

The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis

The 2003 Mid‐Term Review of the CAP sought to refocus the EU's farm support policy to foster a more competitive and market‐orientated agricultural sector. The foundation of this reform comprised the introduction of decoupled payments to farmers, replacing the EU's previous system of supports that were directly linked to production of designated crops and livestock. This paper explores the effect of coupled payments and their subsequent replacement by decoupled support, on the technical efficiency of specialist beef farms in Ireland. Given the high reliance of beef farmers in Ireland on CAP payments, the decoupling of payments has been especially important for the sector. A stochastic production frontier is estimated using a panel dataset comprising detailed accountancy data for Irish beef farms between the years 2000 and 2013. Our results indicate that technical efficiency in the beef farming sector has been consistently poor, with an average efficiency score of only 0.53 during the period analysed. However, we found that direct income received in the form of coupled payments had a positive impact on farm efficiency, and that this positive effect was maintained after their replacement with decoupled income support.     

Determinants of Smallholders’ Decisions to Leave Land Fallow: The Case of Kosovo

This article investigates why farmers in Kosovo leave land fallow when their farms’ total land area is small and households, almost fully dependent on farming for their livelihoods, are large. It uses a comprehensive survey carried out during the agricultural year 2005/2006 to explore agricultural households’ perceptions of production, market conditions and general security 6 years after the end of the military conflict in the former Yugoslavia. Several locational, household and farm characteristics empirically approximate the significance of different factors for the amount of land left idle. Two different econometric models are used to address the characteristics of the dependent variable distribution by accounting for endogeneity. The main determinants of the share of land left fallow are found to be related to the economic and institutional structure, and to the general feeling of insecurity.     

Is there a future for small farms in developed countries? Evidence from the French case

This research aims to identify the specific characteristics of small farms in developed countries and the factors that influence their survival and growth. Using the case of France, we employ statistical and econometric analysis of data from the Farm Structure Survey (N = 70,000) for the period 2000–2007. The principal findings suggest that small farms are no more likely than other farms to employ “alternative” strategies to the predominant model of increasing farm size, nor are they more likely to diversify on‐farm activities or operate under quality‐labeled production systems, with the notable exception of organic agriculture. However, where small farms do adopt or practice these activities, they are seen to have a favorable effect in ensuring their survival and growth. In contrast, we are unable to conclude that pluriactivity of farm households has a positive impact on the survival of small enterprises. The effect of geographical location on small farms is largely expressed in their concentration in mountainous or disadvantaged regions. Overall, the trajectory of small farms is marked by farm exit, principally as the result of farmers retiring at the end of their careers. The small farm sector is also revitalized by both larger farms declining and thus being reclassified as small farms, as well as the progressive entry into agriculture of small farm holders whose income was previously derived largely off‐farm.     

INCOME TAX DATA AND FARM FINANCIAL STATISTICS

Tracing the income patterns of individual farm operators whose major source of income is generally derived from farming indicates that off-farm income is becoming an increasingly important income component. The relative importance of off-farm income has nearly quadrupled during the last 20 years, rising from about 10 percent of total income to about 37 percent of total income. Most of this off-farm income can be traced to wages and salaries. These fractions are heavily dependent upon relative income levels. In 1970, very low income farmers posted an aggregate net farm loss whereas the $15,000 - $20,000 class secured about three-quarters of their total income from farm sources. In this same year, wages and salaries were generally the prime off-farm income source for farmers with an assessed income of less than $20,000. Dividends and interest were more important to farmers with an income in excess of $20,000. These differences are faithfully reflected in the regional compilations. As a percent of total income, off-farm income ranged from 41 percent in Ontario to about 29 percent in Quebec. The composition of off-farm sources also varies considerably between regions. In 1970 the income position of taxable unincorporated farm operators (who relied on the farm for their major source of income) remained relatively unfavorable. These farmers still had one of the lowest average incomes of any major occupational class in Canada, with an income distribution which was relatively equally distributed between income classes and not unlike that of the national average. These assessed income statistics, of course, are not necessarily indicative of the welfare position of the respective occupational classes. The calculations conducted are simply illustrative of how income tax statistics can be utilized to facilitate our understanding of the income structure in primary agriculture today. The exercise simply underlines the observation that: The fact that there are conceptual differences between income tax data and other data sources should not detract from the usefulness of the income tax data …. Income tax statistics can stand as an independent data source for the analysis of a variety of issues [13]. For many purposes the tax definition of a farm operator may be more operational than the concept of a farmer as defined in the Census of Agriculture. We might profit considerably from further analyses which attempt to disaggregate Census farms into more homogeneous farm-types using the tax statistics available.     

The Varying Impacts of Agricultural Support Programs on U.S. Farm Household Consumption

Farm households are economic agents whose income is derived from farm, off-farm, and government sources. This article uses farm-level data from the Agricultural Resource Management Survey (ARMS) and recent advances in the econometric theory of dynamic pseudo-panels to show that farm households consume various sources of income differently at the margin. Particular attention is given to a specific type of lump-sum government transfer payment intended to be decoupled from (independent of) farm production decisions. The results suggest that relatively decoupled government subsidies have a greater marginal effect on farm household consumption than subsidies that are tied to market conditions.     

Contract farming,contract design and smallholder livelihoods*

Contract farming has gained in importance in many developing countries. Previous studies analysed effects of contracts on smallholder farmers’ welfare, yet mostly without considering that different types of contractual relationships exist. Here, we examine associations between contract farming and farm household income in the oil palm sector of Ghana, explicitly differentiating between two types of contracts, namely simple marketing contracts and more comprehensive resource-providing contracts. Moreover, we look at different income sources to better understand how both contracts are linked to farmers’ livelihood strategies. We use cross-sectional survey data and regression models. Issues of endogeneity are addressed through measuring farmers' willingness-to-participate in contracts and using this indicator as an additional covariate. Farmers with both types of contracts have significantly higher household incomes than farmers without a contract, yet with notable differences in terms of the income sources. Farmers with a marketing contract allocate more household labour to off-farm activities and thus have higher off-farm income. In contrast, farmers with a resource-providing contract have larger oil palm plantations and thus higher farm incomes. The findings suggest that the two contract types are associated with different livelihood strategies and that disaggregated analysis of different income sources is important to better understand possible underlying mechanisms.     

Does participation in the conservation reserve program impact the economic well‐being of farm households?

This study uses U.S. farm household survey data to examine how participation in the Conservation Reserve Program (CRP) affects farm household economic well-being. Further, the study also examines the effects of CRP participation on farm household consumption, income, and imputed savings. In contrast to previous studies that assume the relationships are homogenous across the population, quantile regression is used to investigate the association between CRP participation across the entire distribution of farm household consumption and income. Empirical findings suggest that the effect of CRP participation on household economic well-being differs across the income and consumption distribution. For households in the lower percentiles of the distribution, the CRP participation is associated with an increase in household consumption, but a decrease in farm household income and savings. In contrast, farm households at the median and higher income and consumption quantiles, participation in CRP is associated with lower levels of household consumption and income, but with higher levels of savings.     

Africa's changing farm size distribution patterns: the rise of medium‐scale farms

This study assesses changes over the past decade in the farm size distributions of Ghana, Kenya, Tanzania, and Zambia, drawing on two or more waves of nationally representative population‐based and/or area‐based surveys. Analysis indicates that much of Sub‐Saharan Africa is experiencing major changes in farm land ownership patterns. Among all farms below 100 hectares in size, the share of land on small‐scale holdings under five hectares has declined except in Kenya. Medium‐scale farms (defined here as farm holdings between 5 and 100 hectares) account for a rising share of total farmland, especially in the 10–100 hectare range where the number of these farms is growing especially rapidly. Medium‐scale farms control roughly 20% of total farmland in Kenya, 32% in Ghana, 39% in Tanzania, and over 50% in Zambia. The numbers of such farms are also growing very rapidly, except in Kenya. We also conducted detailed life history surveys of medium‐scale farmers in each of these four countries and found that the rapid rise of medium‐scale holdings in most cases reflects increased interest in land by urban‐based professionals or influential rural people. About half of these farmers obtained their land later in life, financed by nonfarm income. The rise of medium‐scale farms is affecting the region in diverse ways that are difficult to generalize. Many such farms are a source of dynamism, technical change, and commercialization of African agriculture. However, medium‐scale land acquisitions may exacerbate land scarcity in rural areas and constrain the rate of growth in the number of small‐scale farm holdings. Medium‐scale farmers tend to dominate farm lobby groups and influence agricultural policies and public expenditures to agriculture in their favor. Nationally representative Demographic and Health Survey (DHS) data from six countries (Ghana, Kenya, Malawi, Rwanda, Tanzania, and Zambia) show that urban households own 5–35% of total agricultural land and that this share is rising in all countries where DHS surveys were repeated. This suggests a new and hitherto unrecognized channel by which medium‐scale farmers may be altering the strength and location of agricultural growth and employment multipliers between rural and urban areas. Given current trends, medium‐scale farms are likely to soon become the dominant scale of farming in many African countries.