http://www.ricescience.org/fileup/PDF/2014-0007W.pdf

Factors Affecting Adoption of Improved Rice Varieties among Rural Farm Households in Central Nepal

Farmers' intention and decision to adapt to climate change: A case study in the Yom and Nan basins, Phichit province of Thailand

https://onlinelibrary.wiley.com/doi/pdf/10.4073/CSR.2014.6

Farmer Field Schools for Improving Farming Practices and Farmer Outcomes: A Systematic Review

Consumers' perceptions, purchase intention, and willingness to pay a premium price for safe vegetables: A case study of Beijing, China

Adoption of improved potato varieties in Ethiopia: The role of agricultural knowledge and innovation system and smallholder farmers' quality assessment

Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines

Rice producers in the Philippines operate in spatially diverse physical environments that are largely beyond their control. We decompose total factor productivity into technical efficiencies and environment–technology gap ratios across four climatic zones for selected years from 1996/1997 to 2005/2006 using farm-level panel data. Results show surprisingly little interzonal and intertemporal variation in productivity. It appears that Philippine rice producers have been able to adapt their crop management strategies sufficiently to suit their particular agroclimatic conditions. However, after an increase in the first 5 years of the study period, mean environment–metatechnology gap ratios stagnated in the second 5 years. The metafrontier does not appear to have substantially shifted outwards over the whole period, suggesting that rice producers achieved little technological progress and increased total factor productivity.

Technical Efficiency of Rice Farms in Different Agroclimatic Zones in the Philippines: An Application of a Stochastic Metafrontier Model*

Are irrigated farming ecosystems more productive than rainfed farming systems in rice production in the Philippines

The macroeconomic and food security implications of price interventions in the Philippine rice market

Rice producers in the Philippines operate in different physical environments that are largely beyond their control, especially in terms of the agroclimatic conditions they face. Each rice area requires a unique set of location-specific technologies to match its location-specific needs. The rice production frontier is expected to vary, depending on the degree of yield-enhancing interventions implemented by the government and adopted by farmers. Understanding differences in specific production frontiers in different production systems should provide better assessments of yield performance across different locations and enable rice scientists to develop location-specific technologies as well as disseminate appropriate technologies to farmers in different climatic zones. A precise analysis of productive efficiencies, technology gaps and technical change among these zones may contribute to a more accurate targeting and effective design of the government’s rice program. We measure technical efficiencies and technological gaps in rice production for farmers in four agroclimatic zones in the Philippines who may employ different production technologies according to environmental conditions. Climatic zone 3 is considered most favourable for rice production based on the intensity and distribution patterns of rainfall. A stochastic metafrontier function is used to compare mean technical efficiency and the environmental and technological gap ratio (ETGR) across climatic zones. We estimated four regional stochastic frontiers using the standard stochastic frontier model based on a translog functional form. A deterministic metafrontier production function was then fitted to the regional frontiers. Farm-level panel data were used from a three-round survey covering six cropping periods – the wet seasons of 1996, 2001 and 2006 and the dry seasons of 1997, 2002 and 2007. Results show surprisingly little interzonal variation in productivity. First, the production frontiers are quite stable across the different agroclimatic zones. The mean ETGR is quite high in all zones and varies in a narrow range from 0.83 to 0.87. Farmers operating in agroclimatic zone 3 are the most productive group followed by those operating in agroclimatic zone 2. Mean technical efficiencies of farmers in respect of their group frontiers are also closely grouped, ranging from 0.74 to 0.76. It appears that Philippine rice producers have been able to adapt their crop management strategies well to suit their particular agroclimatic conditions.

Marc Jim Mariano

Papers

Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines

Technical Efficiency of Rice Farms in Different Agroclimatic Zones in the Philippines: An Application of a Stochastic Metafrontier Model*

Are irrigated farming ecosystems more productive than rainfed farming systems in rice production in the Philippines

The macroeconomic and food security implications of price interventions in the Philippine rice market

Metafrontier Analysis Of Farm-Level Efficiencies And Environmental-Technology Gaps In Philippine Rice Farming