scholarly journals Technical Efficiency of Rainfed and Irrigated Rice Production in Tanzania

2017 ◽  
Vol 67 (2) ◽  
pp. 233-241 ◽  
Author(s):  
Joseph Mkanthama ◽  
Godswill Makombe ◽  
John Kihoro ◽  
Elija M. Ateka ◽  
Matshidiso Kanjere
Keyword(s):  
Technical Efficiency ◽  
Rice Production ◽  
Irrigated Rice

scholarly journals Closing yield gaps in Colombian direct seeding rice systems: a stochastic frontier analysis

2020 ◽  
Vol 38 (1) ◽  
pp. 110-119
Author(s):  
David Arango-Londoño ◽  
Julián Ramírez-Villegas ◽  
Camilo Barrios-Pérez ◽  
Osana Bonilla-Findji ◽  
Andy Jarvis ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Direct Seeding ◽  
Limiting Factors ◽  
Nitrogen Application ◽  
Irrigated Rice ◽  
Frontier Analysis ◽  
Yield Gaps

Rice is one of the most important crops in terms of harvested area and food security both globally and for Colombia. Improvement of technical efficiency levels in rice production in order to close yield gaps in a context in which rice demand increases, natural resources are depleted, and where there are growing expectations about both climate changes and trade agreements is likely the most important challenge that farmers confront. This research assessed the main management factors that limit both rice crop productivity and the likely drivers of non-optimal technical efficiency levels (a proxy for yield gaps). This study focused on both upland and irrigated direct seeding systems across a variety of environments in Colombia. Stochastic frontier models were used to integrate microeconomic theory and empirical regression analysis in conjunction with a large commercial rice production database developed by the Colombian rice growers’ federation (Fedearroz). A large variation was found in technical efficiency (from 40 to 95%) levels for both upland and irrigated systems, and major differences were obtained in the limiting factors of the two systems (e.g. seed availability, variety type, market accessibility, fertilizer type, and use rate). This suggests both substantial and varied opportunities for improvements in current technical efficiency levels. Across systems, the correct choice of variety was identified as a common key factorfor maximizing yield for a particular environment. For upland systems, optimal choices were F174 and F2000, whereas for irrigated rice F473 was found to produce the highest yield. Additionally, numerical analysis suggests a yield impact of ca. 0.18% for each 1% increase in the nitrogen application rate for upland systems. For irrigated rice, phosphorous rather than nitrogen application rates were found to be more important. Since our analysis is based on farm-scale commercial production data, we argue that once our results are brought to consensus with local extension agents, technicians and agronomists, then management recommendations for closing yield gaps can be used to improve rice productivity.

Exposure of Gambian children to Anopheles gambiae malaria vectors in an irrigated rice production area

1995 ◽  
Vol 9 (1) ◽  
pp. 50-58 ◽  
Author(s):  
S. W. LINDSAY ◽  
J. R. M. ARMSTRONG SCHELLENBERG ◽  
H. A. ZEILER ◽  
R. J. DALY ◽  
F. M. SALUM ◽  
...  
Keyword(s):  
Anopheles Gambiae ◽  
Rice Production ◽  
Malaria Vectors ◽  
Irrigated Rice ◽  
Production Area

Productivity growth of Indonesian rice production: sources and efforts to improve performance

2018 ◽  
Vol 67 (9) ◽  
pp. 1792-1815 ◽  
Author(s):  
Joko Mariyono
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Production Technology ◽  
Productivity Growth ◽  
Scale Effects ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Content Type ◽  
Tfp Growth ◽  
Efficiency Effects

PurposeThe purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies.Design/methodology/approachThis study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters.FindingsThe results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly.Research limitations/implicationsThis study has several shortcomings, such as very lowR2and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data.Practical implicationsThe government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress.Social implicationsAs Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level.Originality/valueThe productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.

scholarly journals Impact of Herbicides on Non-Target Organisms in Sustainable Irrigated Rice Production Systems: State of Knowledge and Future Prospects

10.5772/13568 ◽  
2011 ◽  
Author(s):  
Victor Galhano ◽  
Laranjo Gomes ◽  
Fernndez-valientec Eduardo ◽  
Romeu Videira ◽  
Francisco Peixoto
Keyword(s):  
Production Systems ◽  
Rice Production ◽  
Future Prospects ◽  
Irrigated Rice

Monitoring of the irrigated rice production dynamic in the Kazalinsk region, Kazakhstan, from 1984-2017

2019 ◽  
Vol 5 (2) ◽  
pp. 20-43
Author(s):  
Olga Degtyareva ◽  
◽  
Nadiya Muratova ◽  
Vitaly Salnikov ◽  
Michael Thiel ◽  
...  
Keyword(s):  
Rice Production ◽  
Irrigated Rice ◽  
Production Dynamic

scholarly journals Technical efficiency of irrigated rice seed farmers in Koussin-Ll, Benin Republic

2018 ◽  
Vol 10 (1) ◽  
pp. 28-37 ◽  
Author(s):  
ZANNOU Afio ◽  
KPENAVOUN CHOGOU Sylvain ◽  
O. SALIOU Idelphonse ◽  
BIAOU Gautier
Keyword(s):  
Technical Efficiency ◽  
Rice Seed ◽  
Irrigated Rice ◽  
Benin Republic

scholarly journals Measuring the Technical Efficiency of Certified Organic Rice Producing Farms in Yasothon Province: Northeast Thailand

2019 ◽  
Vol 11 (24) ◽  
pp. 6974
Author(s):  
Nalun Panpluem ◽  
Adnan Mustafa ◽  
Xianlei Huang ◽  
Shu Wang ◽  
Changbin Yin
Keyword(s):  
Technical Efficiency ◽  
Management Practices ◽  
Returns To Scale ◽  
Water Source ◽  
Rice Production ◽  
Farm Size ◽  
Significance Level ◽  
Organic Rice ◽  
Certified Organic ◽  
Constant Returns To Scale

Rice production holds a significant position in the Thai economy. Although it is the world’s largest rice exporter, Thailand’s increase in rice production is the result of an expansion in the cultivation area rather than an increase in yield per unit area. The present study was designed to estimate the technical efficiency and its governing factors for certified organic rice-growing farms in Yasothon Province, Thailand. A data envelopment model was employed to assess the technical efficiency of 328 farmer groups. The data revealed that the average technical efficiency was 23% and 28% under constant returns to scale (CRS) and variable returns to scale (VRS) specifications, respectively. Farmers can reduce the use of machinery, fertilizer, seed, and labor as input factors by about 80.1%, 25.62%, 24.72%, and 19.15%, respectively, while still achieving the same level of output. Multiple regression analysis was applied to estimate factors that affect the pure technical efficiency score (PTES) in the test regions. Results show that household size, farm size, water source, market accessibility, health symptoms, income, and labor were highly related to the TES and the amount of organic rice production. The regression coefficients of the predictors show that the income was the best predictor of the PTES at a significance level of p < 0.05. It is concluded that the farmers can potentially increase their yields by up to 72%–77% under current management practices.

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