Factors Influencing the Intensity of Adoption of the Roundtable on Sustainable Palm Oil Practices by Smallholder Farmers in Thailand.

The Roundtable on Sustainable Palm Oil (RSPO) was formed in 2004 in response to adverse environmental impacts caused by the expansion of oil palm production. It created voluntary standards to accelerate adoption of improved practices along the supply chain to ensure environmental benefits. However, the rate of adoption among smallholders of the practices RSPO recommends remains low. This study assessed the factors influencing smallholder farmers' adoption decisions and the intensity of adoption using primary data obtained from 723 randomly selected oil palm producers in the southern region of Thailand, of which 333 RSPO were adopters and 390 were non-adopters. The results of the binary logit and two-limit Tobit regressions revealed that total farm labor, farm size, number of training sessions attended, access to information, extension services, support services, and perceived ease of adoption of the practices had positive effects on the intensity of adoption. However, the age of oil palm trees negatively influenced the intensity of adoption. The results suggest that strengthening capacity building activities and extension services would increase the adoption of the RSPO practices among small-scale farmers.

Access and Intensity of Mechanization: Empirical Evidence of Rice Farmers in Southern Ghana

ABSTRACT The medium term development plan of Ghana proposed modernization of agriculture to lead the way in transforming the economy. Providing irrigation infrastructure and enhancing farmer access to farm machinery were major interventions proposed. In line with this, the government has been investing in irrigation infrastructure as well as importing farm machinery under various programmes in recent years. This study analyzed access and intensity of mechanization by rice farmers in southern Ghana. The Shai-Osudoku and Ketu North Districts were purposively selected and a total of 360 farmers were randomly sampled from 16 rice growing communities. In general, the results of the descriptive statistics revealed that about 74 % of farmers were still cultivating rice with considerably low level of mechanization. The double hurdle model was employed to estimate the determinants of access to mechanization and the intensity of mechanization. The empirical results of tier one of the double huddle model revealed that size of land, access to credit, availability of farm machinery, expenditure on labour, agrochemical expenditure, the square of age, and gender positively influenced access to mechanization. Seed expenditure, age and district locations negatively influenced access to mechanization. The empirical results of the tier two of the double hurdle model revealed that distance from farm to nearest mechanization centre, rice income, non-farm income and experience were significant variables that positively influenced intensity of mechanization. Land ownership and household size negatively influenced intensity of mechanization. These results have implications for capacity building and government support for rice farmers in southern Ghana.