Is off-farm income reforming the farm? Evidence from Mexico

Does access to off-farm income complement or compete with agricultural production? This article explores the effect of off-farm income on agricultural production activities, using data from the 2003 Mexico National Rural Household Survey. We first discuss the theoretical conditions under which access to off-farm income may influence production in an agricultural household model. Instrumental-variable (IV) estimation methods are then used to test whether agricultural production activities, technologies, and input use differ between households with and without access to off-farm income. We find that off-farm income has a negative effect on agricultural output and the use of family labor on the farm, but a positive impact on the demand for purchased inputs. There is also a slight efficiency gain in households with access to off-farm income. Findings offer insights into how household production evolves as rural households increasingly engage in off-farm income activities.     

Where Does Education Pay Off in Sub-Saharan Africa? Evidence from Two Cities of the Republic of Congo

Using first-hand data from the 2009 Employment and Informal Sector Survey (EESIC) in the two largest cities of the Republic of Congo, Brazzaville and Pointe-Noire, we analyze the impact of education on labour market outcomes, and identify the segments where education pays off the most. Multivariate analyses of the risk of unemployment and sectoral choice indicate that young people face serious difficulties in the labour market: for most of them, their only choice is to remain unemployed or to join the informal sector. To measure the specific impact of schooling on earnings, we address issues related to sample selection and endogeneity of education in the earnings function. The results shed light on heterogeneity in the returns to schooling across the two main cities and institutional sectors. An important finding is that the informal sector does not systematically lag behind the formal sectors in terms of returns to education. We emphasize convex returns to education, meaning that the last years in secondary and tertiary schooling yield the highest returns, while those of primary education are generally lower. This convexity is also apparent in the informal sector, where education (albeit on another scale) again appears as an important determinant of earnings.     

How does gender affect the adoption of agricultural innovations?

Why do men and women adopt agricultural technologies at different rates? Evidence from Ghana suggests that gender‐linked differences in the adoption of modern maize varieties and chemical fertilizer result from gender‐linked differences in access to complementary inputs. This finding has important policy implications, because it suggests that ensuring more widespread and equitable adoption of improved technologies may not require changes in the research system, but rather introduction of measures that ensure better access for women to complementary inputs, especially land, labor, and extension services.     

Modelling the impacts of policy on entry into organic farming: Evidence from Danish–UK comparisons, 1989–2007

This paper analyses organic farming entry decisions using a piece-wise linear depiction of policy. Our goal is to ascertain, from the available but limited information, whether Danish and UK policy measures toward organic agriculture have affected participation. Despite considerable interest in the growth of organic farming there has been little systematic analysis of it, although it is commonly believed that enhanced income levels have played a part. Whilst analyses of organic farming policy have provided extensive reviews of instruments applied, generally speaking, the spirit of those enquiries takes as datum that organic policies have had the desired impacts. Yet such conjectures remain mostly untested. Hence, there is a need to examine systematically if there exist relationships between the introduction of organic farming policies and the growth of organic farming, and whether particular policy measures are more effective than others. Here, we take a first step in this endeavor by undertaking an econometric analysis of the relationship between 14 organic farming policy measures and participation rates in Denmark and the UK during 1989–2007. Using two response variables – the numbers of farmers converted to organic production and the total land area under organic practice – we implement a simple, Bayesian methodology and evaluate the stepwise-linear impacts of policy. Extensions for future work are discussed. Six policy measures in the two study countries were found to be significant influences on participation, five of them direct supply-side instruments. For the UK, all of the policies are annual subsidies for organic farmers once conversion was complete. For Denmark, the policies are the introduction of organic subsidies for non-dairy farms, the extension of subsidies beyond 1997 and support for the costs of marketing services.