How would global trade liberalization affect rural and regional incomes in Australia?

Agricultural protection in rich countries, which had depressed Australian farm incomes via its impact on Australia’s terms of trade, has diminished over the past two decades. So too has agricultural export taxation in poor countries, which has had the opposite impact on those terms of trade. Meanwhile, however, import protection for developing country farmers has been steadily growing. To what extent are Australian farmers and rural regions still adversely affected by farm and non‐farm price‐ and trade‐distortive policies abroad? This paper draws on new estimates of the current extent of those domestic and foreign distortions: first, to model their net impact on Australia’s terms of trade (using the World Bank’s Linkage model of the global economy); and second, to model the effects of that terms of trade impact on output and real incomes in rural versus urban and other regions and households within Australia as of 2004 (using Monash’s multi‐regional TERM model of the Australian economy).     

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.     

Does Extension Work? Impacts of a Program to Assist Limited-Resource Farmers in Virginia

In this article the economic impacts of Virginia State University's Small Farm Outreach, Training, and Technical Assistance Program are assessed. Impacts are measured in terms of program effect on incomes of limited-resource participant farmers compared with their net farm incomes had they not participated. The program appears to significantly increase net farm income, provided there is sufficient intensity of participation. A single visit by an agent had no significant effect on income, suggesting a rationale for deepening participation intensity before broadening it. Aggregate program benefits may approach $5 million per year (for a cost of a few hundred thousand dollars).     

China’s Agricultural Policy Transition: Impacts of Recent Reforms and Future Scenarios

This article reviews recent developments in China’s agricultural domestic support policy, especially the transition from taxing farmers and agriculture to providing direct subsidies to grain production and purchased inputs. A model‐based quantitative analysis on the effects of these policy changes is presented. Simulation results suggest that recent policy changes have achieved the declared policy goals of increasing grain production and boosting farm income. Much of the increase in grain production and farm income can be attributed to higher per unit return to arable land, land reallocation to grain production and extra agricultural employment triggered by the policy changes. Based on the assumption that China’s public assistance to agriculture and farmers will continue and rise, two hypothetical future scenarios are simulated. Using all the support permitted under WTO de minimis limits with existing instruments, China’s policy will increase grain production, change trade patterns seemingly contrary to China’s comparative advantage, increase rural employment and significantly increase farm income (by more than 12%). If, however, decoupled instruments are applied to raise China’s agricultural domestic support to the same level, China’s agricultural production and trade will remain unchanged, rural employment remain stable, but farm income will be increased by nearly 15%.     

中部四省农民人均纯收入的区域时空差异研究

[目的]"三农"问题的核心是农民收入问题,农民持续稳定增收直接影响国民经济的发展和社会稳定,解决农民增收有助于推动农业和农村经济的快速发展。[方法]通过文献查阅法了解中部地区农民人均纯收入及构成已有的研究成果,进而结合定量分析法和比较分析法从区域角度和时间角度对中部地区农民人均纯收入及构成进行比较分析,探讨其差异特征及形成的原因。[结果]中部地区农民人均纯收入及构成呈逐年增加的趋势,但整体上看农民人均纯收入低于全国水平,其中江西省和湖北省农民人均纯收入持平,高于河南省和山西省。农民人均纯收入构成比重随时间的延长发展改变,其中家庭经营纯收入比重逐年下降,河南省和湖北省的家庭经营纯收入的比重高于山西省和江西省,河南省和山西省的工资性收入比重呈逐年增加的趋势,而湖北省和江西省的工资性收入比重变化幅度不大。[结论]通过分析中部地区农民人均纯收入及构成的区域差异及形成原因,为发展和提高中部地区农民收入提供一定的参考意见。     

SOME FEATURES OF FARM INCOME AND STRUCTURE VARIATIONS IN REGIONS OF THE UNITED KINGDOM

Farm income trends and developments in farm structure have varied within the UK in the last decade. While Wales and Northern Ireland have similarities in form structure, agricultural production has risen to a much smaller extent, and farmers have suffered more severe net income reductions, in Scotland and Northern Ireland than in England and Wales. The net incomes of Cropping farms rose faster and, in England, have remained much higher than those of Dairy or Livestock farms. Large numbers of small farm businesses depend on beef cattle and sheep production and have limited development prospects. As most of their occupiers are unlikely to find other employment, structural problems will persist and policy adjustments are suggested to enable agriculture to contribute more to the economy in remote and depressed localities.     

The adoption and impact of engineering‐type measures to address climate change: evidence from the major grain‐producing areas in China

Employing an endogenous switching regression model, we investigate the drivers underlying the adaptations made by farm households and their impacts on crop net incomes for adopters and nonadopters, based on a large panel survey data set across the major grain‐producing provinces in China. The results show that: (i) access to public climate information and technical or physical support increases the likelihood that farmers adapt to climate change by undertaking irrigation and/or drainage measures; and (ii) decisions to adapt increased crop yield, but they did not significantly increase crop profit margins. This point appears to have been ignored by previous studies. Based on these new empirical results, the paper suggests that government should continue to provide climate information and various types of supports to improve farmers’ adaptation abilities and help to reduce the levels of factor input by, for example, substituting organic for chemical fertiliser inputs. Such government‐led policies should be supported alongside the implementation of domestic agricultural supply‐side reform.     

Public Policy in the 21st Century: Is Prairie Agriculture Becoming Like Any Other Industry? Does it Matter?

The question addressed in this paper is whether Prairie agriculture has become "like any other industry". The implication is that a positive response would lead to the conclusion that it should therefore be treated "like any other industry" rather than being accorded the special status that it has enjoyed for more than a century
We show that, as net farm incomes have declined over the past 35 years, Prairie farmers have responded by seeking other (non-farm) sources of income. At the time of the 1996 census, net farm income accounted for only 31 percent of farm family income (down from 75 percent in 1967). By 1999, the contribution of net farm income was even lower than in 1996
In spite of the dwindling contribution of net farm income to farm family income, average farm family income in Saskatchewan has exceeded average provincial household income for all but two years between 1971 and 1998, Under these circumstances, it is necessary to ask why it is in the public interest to subsidize an activity which, in recent good times, produced 31 percent of the income of a subset of the population whose household incomes were 10–15 percent above the provincial average
Based on income levels, it is probably no longer necessary to accord farm families special status in the public policy arena. However, other policy considerations (immobility of resources, the role of agriculture in the rural economy, environmental considerations, food safety and security, for example) remain, differentiating agriculture from other industries     

Brexit: How Will UK Agriculture Fare?

There is little doubt that Brexit would have significant implications for UK agriculture, a sector with strong trade links to the EU and strong reliance on CAP income support. This article reports preliminary results from employing a Computable General Equilibrium Model, a Partial Equilibrium Model and Farm Level Models to explore selected trade and domestic policy scenarios post‐Brexit. These allow for the estimation of changes in producer prices, production and farm incomes against a baseline scenario of continued EU membership. Under a Free Trade Agreement with the EU, agricultural impacts are relatively modest. By contrast, unilateral removal of import tariffs has significant negative impacts on prices, production and incomes. Adoption of the EU's WTO tariff schedule for all imports favours net importers (e.g. dairy) and harms net exporters (e.g. sheep). Given the strong dependence of most UK farms on direct payments, their removal worsens negative impacts of new trade arrangements and offsets positive impacts. Impacts vary across different types and sizes of farm, but also regionally. However, the period of adjustment to new trade and domestic policy conditions may prove very challenging for a large number of farm businesses.     

Worth the Risk? The Behavioural Path to Well‐Being

There is increasing interest in the ‘economics of happiness’, reflected in the volume of articles appearing in mainstream economics journals exploring the major determinants of self‐reported well‐being. We contribute by exploring the factors influencing how satisfied farmers are with their quality of life. We find that farm income, subjective perceptions relating to the adequacy of household income, debt, health and personal characteristics such as age and relationship status are significantly associated with farmers’ self‐reported life satisfaction. While significantly associated with farm income, farm structural variables such as farm size, farm type and the presence of a farm successor were not found to be significantly related with life satisfaction. Our results also suggest that farmers who are more risk averse enjoy significantly lower levels of both life satisfaction and farm income than their more risk seeking or risk neutral counterparts. We suggest that, in the same way that risk aversion inhibits farmers from making choices that could lead to an increase in their income, it may also constrain farmers (and the wider public at large) from engaging in certain types of behaviours that could lead to an increase in their self‐reported quality of life. Finally, we find that while farm income is significantly related to self‐reported life satisfaction, the direct correlation between these variables is weak, suggesting that farmer life satisfaction can be distinct from business success.     

Effect of changes in population density and crop productivity on farm households in Malawi

This study examines the ex‐ante farm‐household effects of changes in family size, yield potential, and yield gaps using a farm‐household simulation model that reflects the economic and biophysical conditions of central Malawi. Disparities between growth in human population and crop yields present challenges for farm‐household crop production and income in sub‐Saharan Africa. We focus on the effect of growth in yield potential and a more efficient use of livestock manure as approaches to improving crop production and incomes in the face of looming population pressures. Our results suggest that, even without considering climate change, expected changes in population density and crop prices in 2050 mean that per person crop production and income may fall by 21% compared to 2013 values if yield potential and yield gaps remain constant. However, per person crop production and income could increase in 2050 by 8% compared to 2013 values if (1) growth rates of yield potential rise for maize by 1.13% each year and for legumes rise by at least 0.4% each year, and (2) farmers use livestock manure more efficiently. Our foresight approach to considering crop production at the farm‐household scale supplements macro‐scale analyses of the production dimension of food security.     

A PRINCIPLE COMPONENT ANALYSIS OF INPUTS IN A PRODUCTION FUNCTION

A production function fitted on data for 232 production regions of the South African Agriculture, yielded negative signs for the land and machinery inputs. The inputs were then transformed into standardised orthogonal variates. A production function was derived from the orthogonal variates by dropping components that contributed little to the resource variation. The t-values in the latter function showed a substantial improvement on that of the first function, and the machinery input turned positive. A component analysis on all the input factors, including farm income, indicates that farmers pay a premium for extensive farming land which is not reflected in their income. This may be attributed to more leisure time enjoyed by livestock farmers, or more satisfaction derived from this type of farming.     

Efficiency of small-scale farmers in Ethiopia: a case study in the Baso and Warana sub-district

The objective of this study is to explore the possibilities of improving production and income on small farms through better allocation of resources. It pertains to the area that represents the low potential cereal crops zone (LPCZ) of Ethiopian highlands in the Shoa region. The basic primary data were drawn from 50 randomly selected farms in the area, and secondary data were obtained from ILCA. LP and MOTAD are used as analytical tools. The results of the study indicates a substantial potential for increasing net farm cash incomes by efficient allocation of available resources under current level of technology. The study further revealed that small-scale farmers in the study area operate at a relatively higher risk under the existing situation than would be the case under an-optimal situation. Thus, small-scale farmers should allocate resources optimally not only to increase cash income but also to reduce risk.     

MEASURING THE RELATIVE INCOME OF FARM LABOUR, 1941–611

This is an analysis of farm labour income at an aggregate level for the period 1941 to 1961. The income of farm labour was estimated for paid workers, operators or self-employed workers, and total paid and unpaid workers, These incomes were compared with five sub-sectors of the nonfarm economy and for five geographical regions. In estimating income, adjustments were made for the age and sex composition of labour force, bours of work in various industries, movement of prices of inputs and output, and period of employment of farm workers. The results show significant differences in incomes of various categories of workers, and incomes of farm workers compared to various sub-sectors of the nonfarm economy. Similarly, various regions were found to. be highly heterogeneous with respect to relative labour income levels. When the farm and nonfarm sectors were adjusted for differences in characteristics, the labour income ratio of Canadian agriculture on a normalized man equivalent basis ranged between 41 and 63 percent.     

Mobile money,agricultural marketing,and off‐farm income in Uganda

Mobile money (MM) services can contribute to welfare gains in smallholder farm households. Previous research showed that one important pathway for these MM‐related welfare gains is through higher remittances received from relatives and friends. Here, the role of other impact pathways is examined, especially focusing on agricultural marketing and off‐farm economic activities. The analysis builds on panel data from smallholder coffee farmers in Uganda. Regression models show that the adoption of MM technology has contributed to higher household incomes and consumption levels. Off‐farm income gains are identified to be an important pathway, also beyond remittances. Typical off‐farm income sources are small businesses in trade, transport, and handicrafts, which benefit from novel savings and money transfer opportunities through MM. In terms of agricultural marketing, MM users sell a larger proportion of their coffee as shelled beans to buyers in high‐value markets, instead of selling to local traders immediately after harvest. MM services help to reduce cash constraints and facilitate transactions with buyers from outside local regions. In conclusion, MM can contribute to rural development through various important pathways. Analysis of adoption patterns suggests that MM services are socially inclusive.     

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.     

Production risk,risk aversion and the determination of risk attitudes among Spanish rice producers

Agricultural production is subject to risk and the attitudes of producers toward risk will influence input choices insofar as these affect production risk. Risk attitudes in turn may be affected by certain socioeconomic characteristics of producers. Using 2004 survey data from a cross‐section of 130 Spanish rice farms, we estimate risk‐aversion coefficients of farmers and investigate the influence of a series of socioeconomic variables on their risk attitudes. Our results show that farmers exhibit risk‐averse behavior and that risk attitudes are related to a series of socioeconomic characteristics. In particular, the belief that the farm will continue after the producer retires is found to increase the degree of risk aversion, while age is found to have nonlinear effects on risk aversion. Off‐farm income, especially from nonagricultural activities, is found to reduce risk aversion. Neither the educational level of the producer nor the presence of dependents on the household is found to have an effect on risk preferences. Regarding the production technology, we find that land, labor, and fitosanitary products are risk‐reducing inputs, whereas capital, seeds, and fertilizer all increase risk.     

The Dynamics of Farm Incomes: Panel data analysis using the Farm Accounts Survey

This paper uses longitudinal information from the Scottish Farm Accounts Survey to explore the dynamics of Scottish farm incomes between 1988/89 and 1999/2000. Both the Net Farm Income and Cash Income of farms are considered. The results show high levels of income variability and income mobility within Scottish agriculture. Although exit rates from the lowest income groups remain relatively high even when spells of low income have lasted a number of years, there is evidence of farms with persistent low farm income and farms experiencing repeated spells of low‐income. Smaller farm size and having a farmer aged over 65 increase both the probability that a farm will fall into the lowest income group and the length of time spent in that income group. Further the results suggest that the impact of the post‐1997 agricultural recession on income mobility depended on the income status of the farm when the recession began.     

Eco‐efficiency of high‐yielding variety rice cultivation after accounting for on‐farm environmental damage as an undesirable output: an empirical analysis from Bangladesh

This study computes the eco‐efficiency of high‐yielding variety (HYV) rice production by including an on‐farm environmental damage index (OFEDI) as an undesirable output using data envelopment analysis. It then identifies its determinants by applying an interval regression procedure on a sample of 317 farmers from north‐western Bangladesh. Results reveal that the mean level of the OFEDI‐adjusted production efficiency (i.e. eco‐efficiency) is 89 per cent, whereas ignoring OFEDI adjustment (i.e. with OFEDI = 0) reduces the mean level of efficiency to 69 per cent, implying that the production of undesirable output or on‐farm environmental damage induces an efficiency loss of 20 per cent with significant differences across regions. The proportion of farmers’ income from HYV rice agriculture, land ownership, extension services and socio‐environmental living standard are the significant determinants of improving eco‐efficiency. Policy implications include investments in extension services and land reform measures to increase land ownership, which will synergistically improve eco‐efficiency of HYV rice production in Bangladesh.     

Farms’ technical inefficiencies in the presence of government programs*

We focus on determining the impacts of government programs on farms’ technical inefficiency levels. We use Kumbhakar's stochastic frontier model that accounts for both production risks and risk preferences. Our theoretical framework shows that decoupled government transfers are likely to increase (decrease) DARA (IARA) farmers’ production inefficiencies if variable inputs are risk decreasing. However, the impacts of decoupled payments cannot be anticipated if variable inputs are risk increasing. We use farm‐level data collected in Kansas to illustrate the model.