An Analysis of Technical Efficiency for Household's Rice Production in Cambodia: A Case Study of Three Districts in Battambang Province

Kea, Sokvibol; Li, Hua; Pich, Linvolak

doi:10.20944/preprints201610.0135.v1

Cited by 4 publications

(4 citation statements)

References 18 publications

(35 reference statements)

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“…On top of that farmers attested that floods could hinder important farm managements like weeding, fertilizer application, and flowering stage. This is consistent with the findings by (KEA et al, 2016) as they added that a significant amount of rice produced in Cambodia is damaged by floods.…”

Section: Farmers' Perceptions Of Weather Variability With Respect To Rice Yieldsupporting

confidence: 92%

Households’ characteristics and perceptions of weather variability impact on rice yield: empirical analysis of small scale farmers in Tanzania

Kulyakwave

2019

Cienc. Rural

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Rice farming is characterized by various factors including environmental and non-environmental factors. The current paper analyses the influence of households’ characteristics, and perceptions of weather variability on rice yield. Authors used primary data collected from small-scale rice farmers in the Mbeya region of Tanzania. Garret technique and Stata software were used for data analyses. Results confirmed that farmer’s education, marital status, gender, and land ownership have a positive influence on rice yield. Thus, for every 1% increase in each variable increases rice yield by 14%, 98%, 26%, and 21% respectively. Owing to empirical results on farmers’ perceptions, it is confirmed that if the drought period increased by 1%, would on average reduce rice yield by 20%. The majority of farmers (70%) have perceived that drought period reduced their rice yield. In addition, farmers’ used averagely less quantity of rice seeds which have impaired their rice yields. If farmers increased the seed quantity by 1%, rice yields would increase by 17%. Our findings also revealed that the previous market price has positive association with the next seasons’ rice yield. Therefore, our study concluded that among households’ variables and their perceptions have positive implications on rice yield; however, with the empirical analyses other variables were insignificant due to multicollinearity effects. Authors recommended to the government and other responsible organizations to capitalize on irrigation infrastructures, agricultural extension and technological services to restraint the enduring food insecurity coercions in Tanzania.

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Section: Farmers' Perceptions Of Weather Variability With Respect To Rice Yieldsupporting

confidence: 92%

Households’ characteristics and perceptions of weather variability impact on rice yield: empirical analysis of small scale farmers in Tanzania

Kulyakwave

2019

Cienc. Rural

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“…Existing researchers have used SFPFA to explore the effect of climatic and non-climatic factors on crop productivity and to estimate the technical efficiency (TE) in agricultural production analysis in different economies [31][32][33][34][35][36][37]. SFPFA model can be applied in parametric and non-parametric condition [34,36,37].…”

Section: Analytical Viewpoint Of Stochastic Frontier Production Functmentioning

confidence: 99%

“…Climate change have a negative impact on technical efficiency of production, yield and cropped area in crop farming [39]. TE of a production unit can be measured through SFPFA [31][32][33][34][35][36][37]. In the present study SFPFA approach is used, which comprises two terms: non-negative and systematic distribution.…”

Section: Analytical Viewpoint Of Stochastic Frontier Production Functmentioning

confidence: 99%

Measuring the Climate Variability Impact on Cash Crops Farming in India: An Empirical Investigation

Singh

Jyoti

2019

Agriculture and Food Sciences Research

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This study investigates the climate variability impact on potato, cotton, groundnut and sesame crops in Indian states. Thereupon, it estimates the technical efficiency (TE) of climatic and nonclimatic factors in crops farming in Indian states during 1971-2014. Production, yield and area sown of aforementioned crops are considered as dependent variables and regressed with socioeconomic and climatic variables using state-wise panel data employing C-D PFM. Sates-wise TE of cash crops is estimated using SFPFM under non-parametric condition. Estimates indicate that climate variability show negative impact on production, yield and area sown of aforesaid cash crops. Thus, it is essential to adopt effective policy to mitigate the negative consequences of climate variability in cash crop farming in India. Cropped area, production and yield of cash crops are negatively impacted due to climatic variability in India. So there needs to adopt crop specific policies to mitigate the negative impact of climate variability in cash crop farming. Finally, it estimates the technical efficiency (TE) of cash crop using SFPFM across Indian states. Estimated values of TE for production, yield and area sown of associated crops imply that there is significant variation in TE due to climate variability and huge diversity in socioeconomic characteristic across Indian states. Thus, most of states have potential opportunity to increase production and yield of cash crops through enlightening technical efficiency of inputs in cultivation.

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“…This study aimed to estimate function production costs in the short-run, measurement of technical and economic efficiency and the efficiency of the cost for a sample of farmers in order to show how to expand the production that achieves the optimum level of the output and input. several other studies have addressed this issue using the rice crop in different geographical locations (1,2,3,5,6,14,15,16,17,20,22).…”

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confidence: 99%

Estimating Profit , Cost Function and Technical Efficiencies of Rice Production in Nejaf for Season 2016*

Mahmood¹

2019

Iraqi J. Agric. Sci.

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The aim of this study was to estimate the profit and cost functions as well as economic, price, cost, and technical efficiencies beside the other economic indices at actual, optimal and profit-maximizing output of rice. A random sample of 240 rice farms in Nejaf province was used during the agricultural season 2016. From efficiency scales of profit function, it was shown that the output quantity had the greatest impact on the profit compared to other variables (average output costs and price). According to the cost function, the optimum output level and the profit- maximizing output level for the short run were 64.84 tons and 117.4 tons respectively. The lowest price that the farmer can accept was 194.83 thousand dinars / ton. At this price, the producer loss all fixed costs in the short run, hoping that the price of rice will improve in the long run. Net profit was estimated on the basis of actual output, cost minimizing output (optimal) and profit-maximizing output, which amounted to 8084.32, 30852.65 and 45547.5 thousand dinars, respectively. The of technical efficiency were 34%. and the cost efficiency was 0.52. We conclude from the study that economic resources have not been exploited optimally, indicating that actual output is far from optimal output. The study recommends a output policy aimed at increasing economic efficiency and optimizing the use of available resources.

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An Analysis of Technical Efficiency for Household's Rice Production in Cambodia: A Case Study of Three Districts in Battambang Province

Cited by 4 publications

References 18 publications

Households’ characteristics and perceptions of weather variability impact on rice yield: empirical analysis of small scale farmers in Tanzania

Households’ characteristics and perceptions of weather variability impact on rice yield: empirical analysis of small scale farmers in Tanzania

Measuring the Climate Variability Impact on Cash Crops Farming in India: An Empirical Investigation

Estimating Profit , Cost Function and Technical Efficiencies of Rice Production in Nejaf for Season 2016*

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