The Redistributive Effects of Agricultural Policy on Scottish Farm Incomes

This paper focuses on the measurement of the redistributive effects of agricultural policy, proposing measures to characterise and quantify these effects that are based on the change in absolute value of the Gini coefficient. An illustrative study shows that the distribution of support in Scotland in 1999/2000 was regressive with respect to pre‐support farm incomes. Nevertheless, the provision of support would have had an equalising effect on farm incomes but for the resulting changes in the ranking of farms within the income distribution. Reranking not only makes ‘coupled’ support policies ineffective but also inefficient as redistributive instruments.     

The impact of agricultural policy on farm income concentration: the case of regional implementation of the CAP direct payments in Italy

One of the objectives of agricultural policy worldwide concerns the support of farm income. Common Agricultural Policy direct payments (DPs) are the main instruments to support farm income in the European Union. This article addresses their role in the concentration of farm income. This is done by calculating the Gini coefficient and its disaggregation in a large sample of Italian farms in the period between 2006 and 2007. Although this approach has been used to develop ex‐post analysis in previous studies, this article is innovative given that it is used here in an ex ante analysis aimed at evaluating the likely impact of a recent reform proposal. This latter requests changing the current model to a regional model of DPs application to make payment rates (i.e., payment per hectare) homogeneous among farms in the same region. The analysis shows that DPs and farm incomes are both very concentrated but that DPs allow for an income concentration reduction in Italian farms. The shift to a regional implementation reduces DPs concentration and, to a limited extent, farm income concentration. Of the considered regionalization scenarios, those that redistribute DPs among regions are the most effective in reducing concentration. The extension of the Gini considered approach to an ex ante setting seems effective because it provides insights that could feed the policy debate regarding the forthcoming reform.     

Land Distribution and International Agricultural Productivity

The unequal distribution of agricultural land is often cited as a source of inefficiency in agriculture. Previous cross-country studies of agricultural productivity differences, though, have not considered land inequality. This article addresses this issue by using cross-country data on inequality in operational holdings of agricultural land from Deininger and Squire (1998) . In an estimation of an agricultural production function, the Gini coefficient for land holdings is found to have a significant negative relationship with productivity. This is consistent with the existence of heterogeneity in productivity by farm size within countries. A one standard deviation drop in the Gini coefficient implies an increase in productivity of 8.5%.     

Marginal Analysis of Income Mobility Effects by Income Source with an Application to the Agricultural Policy Mix

The Note makes novel use of a decomposition of the Shorrocks mobility index by income source to identify the impact on farm income mobility of a marginal change in each component of income. An empirical application shows that a revenue‐neutral change in the balance of agricultural protection between market‐based support and direct payments would not have reduced the variability of relative farm incomes in Scottish agriculture.     

Income distribution in rice–growing villages during the post-Green Revolution periods: the Philippine case, 1985 and 1998

This paper aims to examine changes in household income sources and its impact on household income distribution in the post‐Green Revolution periods in 1985 and 1998 in the rural Philippines. We found that there has been a structural shift of household income away from farm in favor of nonfarm labor income sources. This finding indicates that rural development is being led by nonfarm sectors. Such a shift has resulted in an increase in household income inequality as the distribution of nonfarm income has become less equal over time and was markedly more unequal than that of farm income in 1998.     

Farm Type Effects of an EU‐wide Direct Payment Harmonisation

In this study, we analyse how three scenarios involving different levels of harmonisation of common agricultural policy (CAP) decoupled payments in the EU affect the distribution of farm income across regions and farm types. We use the farm type extension of the common agricultural policy impact (CAPRI) model, which captures farm heterogeneity across the EU. The first scenario (NUTS1) assumes uniform per‐hectare payments at the NUTS1 level. The second scenario (MS‐CONV) equalises the per‐hectare rates inside each Member State (MS) and partially harmonises the single payment scheme (SPS) across MS in line with the 2011 Commission proposal. The third scenario simulates a uniform per‐hectare payment at the EU level. Depending on the implementation of the SPS, the NUTS1 flat rate induces a substantial redistribution of payments across farm types and NUTS2 regions, particularly in regions that apply the historical SPS. The MS‐CONV and EU flat‐rate schemes have more significant impacts at the EU‐wide level. In the EU‐15, almost all farms lose payments from MS‐CONV and EU‐wide flat rates, whereas in the EU‐10, almost all farm types gain from these scenarios. Our conservative estimates indicate that the flat‐rate payments could redistribute up to €8.5 billion. Lower land rental costs partially offset the losses of farm income in the EU‐15 from payment redistribution. Land rents drop for all flat‐rate scenarios across most sectors and farm sizes in the EU‐15. In the less productive new MS, the landowners’ rental income is largely unaffected by the introduction of the flat rate.     

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.     

经济增长与收入再分配对湖北省农村贫困变动的影响

本文通过对湖北省否受益并相关结论贫困变动由人均收入水平和收入分配不平等程度两个因素共同决定。贫困变动的增长再分配分解，考察1997—2003年间如上两个因素村贫困变动的影响方向和程度，进而分析在经济增长过程中穷人是算和比较基尼系数，考察在此期间农村居民的收入分配状况，得出对农测。     

Analysing Farm‐specific Payments for Norway using the Agrispace Model

Norway maintains a complex system of activity or type specific coupled payments which account for a large share of farm income. Most of the payment rates are negatively related to farm size and are higher in remote areas compared to central regions. We present and use a newly developed recursive‐dynamic multi‐commodity model (Agrispace) with CES production functions depicting regional farm clusters derived from the full farm population. Using this model, we simulate impacts of current and alternative subsidy policies on production, prices, input use, income and farm structural change. Mapping cluster results to each farm along with behavioural rules allows estimation of individual profits and farm exits. Our results indicate that, in the short run, the current policy regime seems to support the policy objective of maintaining a variety of farms in all parts of Norway. In the long run, farm structural change is less affected by a policy reform that leaves total support levels unchanged.     

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.     

Off‐farm Employment and Input Intensification among Smallholder Maize Farmers in Kenya

We derive input demand functions for fertiliser and hybrid seed, testing for the combined and separate effects of income from non‐farm sources and agricultural wage labour among smallholder maize farmers in Kenya. More income from off‐farm sources, and specifically non‐farm sources, competes with maize intensification, particularly in more productive areas where use rates are higher. In less productive areas, where households rely more on off‐farm income and input use in maize is extremely low, agricultural wage labour reduces the likelihood that fertiliser is applied, but when used, has a positive effect on quantities purchased of both seed and fertiliser.     

Assessing the Impact of Direct Payments Convergence on Farm Income Inequality: The Case of Italian Farms

Abstract

This paper investigates the effects of the convergence process of direct payments (DPs) on farm income inequality. The analysis uses the Gini coefficient concept and its decomposition on the FADN Italian sample in 2014 and 2019 to assess the impact of the DPs reform in Italy. Results of the analysis show that a marginal increase in direct payments will reduce income concentration. However, a shift of resources toward mountain areas could occur. The results of the analysis have some policy implications regarding the application of the convergence mechanism of the CAP in Italy: in fact, the convergence process leads to a redistribution of resources in favour of mountain areas. These results could feed the debate on the future of CAP direct payments after 2020, when the cut or, at least, the reduction of DPs could increase income concentration.     

Effects of Non‐Farm Employment on Rural Income Inequality in Developing Countries: An Investment Perspective

This paper makes several points based on a review of household survey evidence from Africa, Asia and Latin America. (i) In contrast to conventional wisdom, the evidence is very mixed as to the effect of non‐farm employment on rural income inequality. The non‐farm employment and microenterprise programmes now in vogue will not necessarily resolve rural income inequality problems and attendant social tensions nor automatically benefit the poor. (ii) Policymakers should be worried by substantial evidence of poor people's inability to overcome important entry barriers to many non‐farm activities. (iii) The main determinants of unequal access to non‐farm activities are the distribution of capacity to make investments in non‐farm assets and the relative scarcity of low capital entry barrier activities. Therefore, it is crucial for public investments and policy to favour an increase in the access of the poor to assets that allow them to overcome non‐farm employment entry barriers, (iv) It would be an error to assume that one can address asset‐poverty and inequality in the non‐farm sector without addressing farm‐side problems and vice versa.     

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.     

Income Mobility and Income Inequality in Scottish Agriculture

The paper explores the distributional consequences of farm income mobility in Scotland, focusing on the extent to which farm income inequality is a chronic as opposed to a temporary phenomenon and on the nature of the dynamic processes driving changes in farm income inequality over time. The empirical results reveal that the majority of farm income inequality was long‐run or structural in nature, reflecting differences in both farm business size and farm‐specific factors such as land quality, managerial ability and business structures. Evidence of absolute convergence in farm incomes is explained by short‐run adjustments towards equilibrium or target incomes conditional upon prices, technology and farm business size, with farm business growth conditional upon survival found to have had no significant redistributive effect.     

Impact of off‐farm income on food expenditures in rural Bangladesh: an unconditional quantile regression approach

This study examines the effects of off‐farm income on food expenditures of rural Bangladeshi households. Our analysis yields unbiased estimates of the unconditional impact of off‐farm income on food expenditures and reveals the heterogeneous effects that occur across the distribution of total food consumption expenditures. The findings suggest that the impacts of off‐farm income are uniformly positive across the unconditional quantile regression and significantly increase food consumption expenditures for all quantiles, except for the 25th quantile. In addition, we found that schooling, experience, and location of the household increase the food expenditures of rural households. Most importantly, this article argues that female‐headed rural households in which the female works off the farm tend to have significantly lower food expenditures.     

Consumption inequality between farm and nonfarm households in Taiwan: a decomposition analysis of differences in distribution

Consumption has been recognized as a more reliable indicator of household well‐being than income. Although a considerable body of literature has examined income inequality between farm and nonfarm households, little is known about inequality in consumption. This research aims to fill this knowledge gap by investigating consumption disparity between farm and nonfarm households. Using a nationally representative household survey from Taiwan, we apply an unconditional quantile regression‐based decomposition method to decompose the differences in the distribution of household expenditure between these farm and nonfarm households. The results indicate that differences in the observed characteristics between these two types of households explain most of the consumption inequality. Moreover, the difference in the education level of the farm operator, household income, and the degree of urbanization are particularly important.     

Self‐protection from weather risk using improved maize varieties or off‐farm income and the propensity for insurance

We investigate how self‐protection from the adoption of Improved Maize Varieties (IMV) and off‐farm income affects risk premiums for smallholder maize producers in Uganda. To unbundle these effects, we specify the cost of risk to explicitly capture four risk components—mean, variance, skewness, and kurtosis. Using unique plot‐level panel data for Uganda, we estimate and test moments of a flexible production function based on an expanded form of the Johnson S_U family distribution and proceed to simulate the degree of responsiveness of risk premiums and welfare estimates to marginal changes in the share of land under IMV and off‐farm income. Scenarios of joint adoption of IMV accompanied with low and high application of inorganic fertilizer, and the effect of off‐farm income when there is high and low supply of farm labor are examined. Results show that the use of IMV and off‐farm income substantially reduces risk premiums and the individual effect is much higher under low fertilizer application and high supply of farm labor, respectively. Thus implying that self‐protection is likely to reduce the propensity for index insurance especially if its design fails to consider the reduction in downside risk.     

郑州市乡村旅游资源空间分布及驱动力分析

［目的］从空间角度分析郑州市乡村旅游资源的分布情况,同时深入探讨其驱动力,全面推动区域乡村旅游的发展以及乡村振兴战略的实施。［方法］以郑州市为例,通过洛伦兹曲线、最邻近指数、地理联系率和基尼系数等定量研究方法分析乡村旅游资源空间分布情况,进而选取24个驱动力指标,通过计算相关性系数对驱动力进行分析。［结果］(1)郑州市乡村旅游资源空间分布较为集中,主要集中在惠济区、登封市、二七区等市区;(2)但各市区的乡村旅游资源空间分布存在一定的差异,其中中原区、二七区、金水区、惠济区、管城区、上街区的最邻近指数大于1,乡村旅游资源空间分布呈均匀型,巩义市、新郑市、登封市、新密市、荥阳市、中牟县、经开区、高新区、郑东新区、航空港区的最邻近指数小于1,乡村旅游资源空间分布呈凝聚型;(3)郑州市各区的地理联系率均在94%以上,基尼系数均小于0300,说明郑州市整体上乡村旅游资源空间分布较为均衡。(4)郑州市乡村旅游资源空间分布与24个驱动力指标均正向相关,其中乡村特有的景观、距离市中心的距离、乡村旅游基础设施、旅游村的数量、农民人均收入、民宿、停车场数量、道路标识系统的完整性和互联网覆盖率与乡村旅游资源空间分布的相关性显著（P<005）。［结论］乡村旅游空间分布受多个驱动力因素的影响,在不同发展时期有所差异,因此有必要优化调控驱动力系统,促进区域乡村旅游资源空间分布的合理化以及乡村旅游的健康持续发展。     

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.