Impact of Row-Planting Adoption on Productivity of Rice Farming in Northern Ghana

Efficiency of Rice Farming in Ghana: Policy Implications for Rice Sector Development

“…Related to the extension result is the result for row‐planting. Row‐planting ( p < 0.05), as opposed to broadcasting, increase farmers’ TE, this result was also found by Donkor et al (). Row‐planting tends to make the application of agrochemicals and harvesting of rice more efficient.…”

“…African literature shows that the technical efficiency of rice production is low. Literature uses a stochastic frontier approach to investigate the technical efficiency of rice producers (e.g., Lachaal et al ., ; Kijima et al ., ; Donkor and Owusu, ; Donkor et al ., ). Typically, when investigating the effect of agro‐ecological zones a regional variable is used to determine if the production region increases or decreases the estimated technical efficiency (Njikam and Alhadji, ).…”

“…However, the implementation of these national development plans has not been successful in raising the productivity of rice farming. Despite the favourable climatic conditions for rice production in Ghana, existing empirical studies have demonstrated that rice producers in Ghana have been able to achieve only 2.5 per cent of the potential yield of 6.5mt/ha (Donkor et al ., ; Anang, ). This low productivity of rice farming is attributed to low efficiency in the production process.…”

The Adoption of Farm Innovations among Rice Producers in Northern Ghana: Implications for Sustainable Rice Supply

“…This alarming situation tends to drain the foreign reserves of the country. Among other factors, existing studies suggest that the low adoption rate of farm innovations, notably fertiliser, pesticides, improved rice varieties, and row planting technique contribute to the low productivity in rice farming [7][8][9][10][11][12].…”

“…In a few decades, the adoption of agricultural innovations has attracted scientific research in developing countries including Ghana. A number of studies have been conducted to investigate the determinants of farm innovations in developing countries [7][8][9][10][11][12][13]. The literature shows that the adoption of farm innovations is generally influenced by farmer characteristics (e.g., farmer education, age, household size), farm assets/resources (e.g., land size, off-farm income) and institutional factors (e.g., farmer access to extension, access to credit, and distance to market).…”