Factors affecting the size of the labour force and the level of earnings in U.K. agriculture 1948–65

Previous studies of poverty in developing countries have to a great extent focussed on the characteristics of the household head and used these as proxies for the underlying ability of the household to generate income. This paper uses five rounds of panel data to investigate the persistence of poverty in urban Ethiopia, with a particular focus on the role of intra-household heterogeneity in occupations. Dynamic probit and system generalised method of moments regression results suggest that international remittances and labour market status of non-head household members are important determinants of households' poverty status. Results also show that controlling for these variables and the “initial conditions problem” encountered in nonlinear dynamic probit models reduces the magnitude of estimated poverty persistence significantly for urban Ethiopia. These findings have important implications for identifying the poor and formulating effective poverty reduction and targeting strategies.     

Rural electrification in Cambodia: does it improve the welfare of households?

This study uses subsamples of socio-economic surveys from 2004 and 2011 to construct village panel data and apply the difference-in-differences (DID) method to examine the impact of rural electrification on household consumption and children’s education in Cambodia at the village level. Conditional on the DID assumption and observed village and household characteristics, rural electrification increased household consumption by approximately 16.6%. This study also finds that higher-quintile households benefited more. Additionally, rural electrification increased boys’ years of schooling completed by 0.85 and girls’ years of schooling completed by 0.62. It also increased the probability of having ever been enrolled in primary school for boys by approximately 9.7% but did not increase the probability of having ever been enrolled for girls.     

Landowner response to policies regulating land improvements in Finland: Lease or search for other options?

Land improvements with long pay-back periods are often delayed on leased agricultural land. The delay in improvements has been found to result in land degradation, decreased land productivity and environmental problems. An important question is thus how landowners would respond to regulations and mandates concerning land improvements. Based on a Finnish landowner survey, we analysed landowner choices under certain land improvement regulations, using the currently dominant choice of leasing land for agricultural use as the benchmark. The results indicated that land leasing will continue to increase in the future, but if the landowner mandate to co-finance costly land improvements is increased, landowners are predicted to respond significantly to these mandates and search for other land management options. Three heterogeneous landowner groups were identified based on their land use choices. Current leasers and amenity owners, in particular, were sensitive to land improvement mandates, and would avoid compulsory investment expenses by selling or afforesting their land.     

Economic implications of alternative mill mud management options in the Australian sugar industry

Sugar mills produce a range of byproducts during the process of extracting sugar from cane. Mill mud is one of the byproducts produced in significant volume. The practice of spreading mill mud onto cane fields close by the mill has been the primary means of disposing of mill mud for many years. The continued application of mill mud at high rates, without appropriate recognition of its nutrient content, the soil condition, crop nutrient requirements, slope of the land, or proximity of application sites to environmentally sensitive areas has raised a number of concerns in recent years, including overfertilization, heavy‐metal contamination, leaching, and offsite impacts from drainage to waterways. This study develops a regional mathematical programming model to determine optimal rates of mill mud application for various soil types and distances from the mill in the Mackay region in central Queensland, Australia. The optimal application rate of mill mud varies according to soil type and by distance from the mill. Lower rates of mill mud application are economically desirable at greater distances from the mill. However, when the cost of mill mud application is shared between growers and the mill operator, the optimal application rates are reduced at some locations while increasing at others.