The Economic Growth Impacts of Sugarcane Expansion in Brazil: An Inter‐regional Analysis

Since 2001, Brazil has experienced a sharp increase in sugarcane production due to the upsurge in demand for sugar and ethanol, two products derived from sugarcane. This study analyses the impacts of these sugarcane expansions on economic growth. The effects are examined at the municipality level in Brazil as a whole and in the main sugarcane producing regions, the North‐Northeast (NE) and the Centre‐South (CS). In this latter region, an additional distinction is made between the state of São Paulo (SP) and the Centre‐South region excluding São Paulo (CSex) since the bulk of the recent expansion took place in SP while most of the future expansions are planned in CSex. Estimators based on the propensity score are used to construct two types of counterfactual scenarios. The estimations in the first scenario show that municipalities in NE and CSex that expanded sugarcane production experienced economic growth as a result. No significant effect was found in SP. The second scenario focuses on CSex and establishes that sugarcane non‐expanding municipalities in this region would have had higher economic growth if they had increased sugarcane production. The results of this study suggest that future sugarcane plantations should indeed be located in CSex because they contribute to economic growth.     

Re‐evaluating the Harbinson Proposal – Prospects for the EU25: A Note

In this study, we use the Harbinson Proposal and July Framework to compare a ‘likely’ Doha scenario with a realistic baseline. The novelty of this study is that we focus exclusively on the trade‐led welfare impacts in selected EU member states. The important features of this note are the: (i) usage of the latest Global Trade Analysis Project (version 6) data; (ii) focus on EU25 regions incorporating all major Common Agricultural Policy instruments and reforms; and (iii) inclusion of binding tariff overhangs into the Harbinson tariff reductions. Results show the damping effects of tariff‐binding overhangs on welfare outcomes. This and other factors which limit the gains to liberalisation mean that the EU25 only realises 10% of its long‐run welfare gain potential, as defined by complete liberalisation.     

Agriculture’s Inter‐industry Linkages,Aggregation Bias and Rural Policy Reforms

As agricultural policy reform and its effects have become increasingly territorialised, analyses that attempt to explain or predict impacts need to be both more localised and to identify spill‐over effects. Local and regional general equilibrium approaches have become increasingly popular because they can extend predictions of policy shocks obtainable from partial equilibrium sectoral models to identify the wider effects. However, agriculture is usually described as a single sector in input–output accounts, whereas policy shocks that affect constituent commodities with differential impacts will have inter‐industry effects that are different to those implied by average input–output coefficients. Regionalisation of aggregated input–output tables adds further to these difficulties. The objective of this study is to develop a practical method for dealing with these problems. It describes the theoretical basis of aggregation bias and shows how it can be measured, in two contrasting case study regions in the UK and Sweden. Having established that this is a significant issue, a simple but effective procedure is demonstrated, based on additional information on variable costs, which transforms policy shocks from a direct change in agricultural output to that transmitted to the suppliers of inputs. This method provides an impact close to that which could be calculated if the general equilibrium system had indeed been disaggregated, and supports use of this approach in impact studies where insufficient time or funding are available for complete disaggregation of an agricultural sector’s regional accounts.     

Impacts of Decoupled Agricultural Support on Farm Structure,Biodiversity and Landscape Mosaic: Some EU Results

The decoupling of direct payments from production represents a substantial reform of the Common Agricultural Policy (CAP). Farmers are no longer required to produce commodities to be entitled to support but only to keep land in Good Environmental and Agricultural Condition. If output declines as a result, there is concern that landscape services produced jointly with commodities will also decline. The aim of this paper is to assess the long‐term effects of the 2003 reform on farm structure, landscape mosaic and biodiversity for a sample of EU regions. Impacts are quantified using a spatial agent‐based modelling approach by simulating agricultural development with links to indicators of landscape value. Our results demonstrate that eliminating the link between support payments and production has possible negative consequences for the landscape, but only under particular circumstances. It is shown that these effects could be offset by strengthening (Pillar II) agri‐environmental schemes. Further the single payment scheme results in higher land rental prices which reduces its ability to achieve its goal of providing income security for farmers. Implications of these results for the direction of continued CAP reform are discussed.     

Effects of scale economies and production seasonality on optimal hub locations: the case of regional fresh produce aggregation

Interest in supporting local and regional food systems is rising and food hubs have attracted considerable attention among Federal, State, and local policymakers. This study explores the problem of endogenous hub location in fresh produce value chains in the Northeastern United States. To overcome limitations in the literature, we incorporate the effects of economies of scale and production seasonality into our models. Three experimental models are designed to examine the effects of alternatively applying yearly, quarterly, and monthly data on model solutions. We explicitly assess how interactions of scale economies and seasonality influence the structure and spatial attributes of an optimal regional produce aggregation hub system. The three models generate marketed different solutions and in many respects they lead to different conclusions about developing local/regional supply chains. The monthly model allows for production seasonality and actual hub operation cycle frequency and thus leads to more efficient hub solution with rich policy implications.     

Enhancing food security in South Sudan: the role of markets and regional trade

South Sudan faces serious problems of food insecurity due to low levels of domestic food production, periodic droughts, widespread poverty, and since late 2013, renewed armed conflict. This article explores market price behavior using cointegration analysis and estimates the effects of production and trade shocks through multimarket model simulations. We show that market prices in the capital city, Juba, of both maize and sorghum are cointegrated with import parity prices of these cereals sourced from Uganda, consistent with observed trade flows. Model simulations, using econometrically estimated demand parameters, suggest that private sector imports of maize and wheat would greatly mitigate the potential fall in consumption in the case of a decline in domestic cereal production. Other simulations indicate that if total imports of cereals are reduced by one‐third (still more than two times the levels of food aid in 2013) because of disruptions to private market flows, domestic prices of cereals could rise by 45% or more. The article concludes that whatever measures are taken involving national food security reserves, it is crucial that government policy serves to maintain incentives for private sector imports to avoid destabilizing market supplies, domestic prices, and ultimately, food consumption of the poor.     

Determinants of Health Costs due to Farmers’ Exposure to Pesticides: An Empirical Analysis

Pesticide spraying by farmers has an adverse impact on their health. However, in studies to date examining farmers’ exposure to pesticides, the costs of ill health and their determinants have been based on information provided by farmers themselves. Some doubt has therefore been cast on the reliability of these estimates. In this study, we address this by conducting surveys among two groups of farmers who use pesticides on a regular basis. The first group is made up of farmers who perceive that their ill health is due to exposure to pesticides and have obtained at least some form of treatment (described in this article as the ‘general farmer group’). The second group is composed of farmers whose ill health has been diagnosed by doctors and who have been treated in hospital for exposure to pesticides (described here as the ‘hospitalised farmer group’). Cost comparisons are made between the two groups of farmers. Regression analysis of the determinants of health costs show that the most important determinants of medical costs for both samples are the defensive expenditure, the quantity of pesticides used per acre per month, frequency of pesticide use and number of pesticides used per hour per day. The results have important policy implications.     

The Role of Ownership in Determining the Rural Economic Benefits of On‐shore Wind Farms

The development of the wind energy sector is often promoted as a means of supporting rural economies. This paper focuses on how the ownership structure of on‐shore wind power plants (external, farmer or community) affects the size and distribution of impacts within the rural part of a region. Empirical analysis is based on a regional computable general equilibrium model of North East Scotland with the results compared to those generated from a standard social accounting matrix multiplier analysis. With no local ownership, while rural GDP increases, there is almost no effect on household incomes due to the limited direct linkages of the on‐shore wind sector. Local ownership increases the household income benefits but there are still limited positive spill‐over effects on the wider economy unless factor income is re‐invested in local capital. With re‐investment, farm household ownership gives rise to the largest increase in total household income but community ownership gives rise to the largest increase in rural (non‐farm) household incomes and welfare. The results contribute to the on‐going debate about the opportunity cost of external asset ownership in rural areas.     

The impact of coffee certification on small‐scale producers’ livelihoods: a case study from the Jimma Zone,Ethiopia

What is the impact of product certification on small‐scale farmers’ livelihoods? To what extent does the participation of Ethiopian small‐scale coffee farmers in certified local cooperative structures improve their socioeconomic situation? To answer these questions, this article employs household data of 249 coffee farmers from six different cooperatives collected in the Jimma zone of Southwestern Ethiopia in 2009. Findings show that the certification of coffee cooperatives has in total a low impact on small‐scale coffee producers’ livelihoods mainly due to (1) low productivity, (2) insignificant price premium, and (3) poor access to credit and information from the cooperative. Differences in production and organizational capacities between the local cooperatives are mirrored in the extent of the certification benefits for the smallholders. “Good” cooperatives have reaped the benefits of certification, whereas “bad” ones did not fare well. In this regard the “cooperative effect” overlies the “certification effect.”     

The heterogeneous farm‐level impact of the 2005 CAP‐first pillar reform: A multivalued treatment effect estimation

This article aims to evaluate the impact of the 2005 reform of the Common Agricultural Policy (CAP) on farm production choices as a treatment effect (TE). This impact is measured through alternative metrics of the short‐term changes of the output vector. The heterogeneity of the response to the reform is assessed by estimating both average and quantile TE. As this heterogeneous response may depend on the different farm‐level CAP support, a multivalued treatment approach is adopted and applied to treated units (i.e., supported farms). This approach is applied to a balanced panel of Italian FADN farms observed over years 2003–2007. Results show that the 2005 reform of the first pillar of the CAP actually had an impact in (re)orienting short‐term farm production choices but this response is largely heterogeneous and concentrated in the lower levels of support.     

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.     

Targeting,bias, and expected impact of complex innovations on developing‐country agriculture: evidence from Malawi

Agronomic analyses of new technologies are often conducted under carefully controlled research station programs or trials managed by self‐selected farmers. Oftentimes, the technologies are then scaled up with minimal evaluation under real‐world conditions. Yet, the interim step between agronomic trials and large‐scale promotion is crucial to generate evidence on the social and economic impact of technologies that is both internally valid and generalizable. The article focuses on a participatory action research program in Malawi designed to test and identify scalable technology options to intensify the smallholder sector and contribute to poverty reduction and food and nutrition security. We examine the socioeconomic characteristics of farmers testing technologies and find evidence of systematic targeting of better‐endowed farmers. After controlling for observable differences using matching and a doubly robust estimator, we find evidence of early positive effects on maize yield and harvest value, although placebo tests suggest possible selection on unobservables. We note that attention should be given to program design and household characterization to better define and improve targeting criteria, technology selection, and external validity.     

Price formation in the German biodiesel supply chain: a Markov‐switching vector error‐correction modeling approach

Changing linkages between agricultural and energy markets have attracted considerable attention in research and policy discussions during recent years. As one of the largest biofuel markets worldwide, the German biodiesel market is of particular interest. It has grown rapidly since the beginning of the new millennium, with this growth being driven mainly by political interventions. Vertical price transmission channels along the biodiesel supply chain are analyzed in this study. We examine the relationship between diesel and biodiesel prices, and between rapeseed oil, soy oil, and biodiesel prices between 2002 and 2008. Due to pronounced changes in market conditions and the policy framework, a regime‐dependent Markov‐switching vector error‐correction model is used. The regimes are characterized by markedly different price adjustment behaviors. Before 2005 and from late 2007 onward, a regime characterized by the strong orientation of biodiesel prices toward diesel prices dominates. Between 2005 and 2007, biodiesel and rapeseed oil prices are mutually interdependent. Frequent switches between the regimes of the price dynamics during this period indicate a high extent of uncertainty and instability in the market.     

Internal and contextual drivers of dairy restructuring: evidence from French mountainous areas and post‐quota prospects

The end of the milk quota system in Europe has resulted in substantial structural changes to the dairy industry, calling its future into question, especially in mountainous areas. This study analyzes the internal and contextual factors that influence dairy restructuring in French mountainous areas. Three complementary logit models are used to specify farmer decisions (e.g., dairy production exit, stability, and growth). Original and exhaustive geo‐located administrative datasets are combined to create a farm longitudinal dataset and characterize farm‐restructuring patterns on a fine geographical scale. Farm size, corporate legal status, and specialization are positively associated with farm growth. Viable diversification strategies through either farm processing or agro‐environmental scheme contracting are also highlighted. Farm sustainability is supported by the economic success of the local industry and the propensity to adopt extensive practices. With respect to public policy, dairy policy appears to have the strongest impact. Thus, the liberalization of dairy policy threatens the future of dairy farming, particularly in areas with low milk density and no production under labels. This work calls for a policy that promotes the collective dimension of dairy farm performance. The current rural development policy alone may be insufficient to support farms’ long‐term sustainability.     

Structural Change of European Dairy Farms – A Cross‐Regional Analysis

Previous analyses of dairy farm structural change focus on the variation over time in one or a small number of regions. We present an EU‐15 cross‐regional analysis of the development of dairy farm numbers in different size classes over the period 1995–2005. Our purpose is to measure the explanatory relevance and effect of key factors suggested in the theoretical and empirical literature on structural change. Apart from the unprecedented scope, the underlying Markov chain analysis also contributes by combining observed transitions in micro (farm level) data with macro (sector level) data on farm numbers. Results show widely significant impacts of most considered explanatory variables, but also reflect and illuminate the complexity of the underlying processes.     

Impacts of changing water inflow distributions on irrigation and farm income along the Drâa River in Morocco

Irrigation water is essential for agriculture in the arid Drâa River basin in Morocco but climate change leads to increasingly unreliable water supply in the area. This article analyzes impacts of changing water inflow distributions on irrigation and farm income extending a conjunctive river basin model toward a stochastic modeling approach. Regional climate scenarios are used to derive a maximum likelihood density estimate of current and future water supplies. Based on these distributions, Monte Carlo simulations are performed to obtain stochastic model results on surface and groundwater irrigation as well as economic indicators for six oases along the river. The probability of farmers to receive revenues below the subsistence level is around 2% under current conditions, but this is likely to rise to rates of 6% to 15% depending on the underlying climate change scenario. The composition of water sources for irrigation will shift to more groundwater use. The river basin model is able to represent complex spatial interactions between oases as well as a partial complementarity between groundwater and surface water irrigation due to salinity management effects. Interestingly, the value of groundwater is not necessarily increasing under future climatic conditions as salinity problems are aggravated with expanded groundwater use.     

The Impact of Direct Income Transfers of CAP on Greek Olive Farms’ Performance: Using a Non‐Monotonic Inefficiency Effects Model

We analyse the impacts of direct income transfers on the technical efficiency of Greek olive farms. We use a production frontier function and a non‐monotonic inefficiency effects model, which incorporates the influences of exogenous variables (subsidies, farm characteristics, etc.) on technical efficiency. The model is applied to 1995–2004 FADN data. The results show that direct transfers of the CAP had a negative and monotonic effect on technical efficiency, whereas the degree of specialisation had a non‐monotonic effect on technical efficiency.