scholarly journals Technical Efficiency of Red Rice Farming in Gunung Kidul Regency, Yogyakarta

2021 ◽  
Vol 316 ◽  
pp. 02045
Author(s):  
Lestari Rahayu ◽  
Ratih Hanifah
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Formal Education ◽  
Stochastic Frontier ◽  
Stochastic Frontier Model ◽  
Rice Farming ◽  
Red Rice ◽  
Internal Factors ◽  
North Central ◽  
The North

Red rice is germplasm in Gunung Kidul Regency, whose territory is north, central, and south. This study aimed to analyze the factors that influence the production of red rice farming in Gunung Kidul Regency, analyze the level of technical efficiency, and the factors that influence the technical inefficiency of red rice farming in Gunung Kidul Regency. This research was conducted in Gunung Kidul Regency, which was determined purposively, in sampling 200 respondents. Data were analyzed using the Cobb-Douglas Stochastic Frontier model production function. The results showed that the variable area of land, seeds, manure, phonska fertilizer, urea fertilizer, liquid pesticides, and labor had a significant effect on the production of red rice. Technically, farmers have been efficient, with an average index of 0.837. Meanwhile, from the five internal factors of farmers, age, formal education, farming experience, dummy zones in the north, dummy zones in the south, no effect on inefficiency

scholarly journals PENGARUH TINGKAT PENERAPAN TEKNOLOGI PENGELOLAAN TANAMAN TERPADU (PTT) TERHADAP EFISIENSI TEKNIS USAHATANI PADI

2018 ◽  
Vol 6 (2) ◽  
pp. 121
Author(s):  
Mira Apriani ◽  
Dwi Rachmina ◽  
Amzul Rifin
Keyword(s):  
Technical Efficiency ◽  
Technology Implementation ◽  
Formal Education ◽  
Stochastic Frontier ◽  
Production Capacity ◽  
Farm Income ◽  
Rice Farming ◽  
Linear Regression Models ◽  
Scoring Method ◽  
Α Level

<em><span>Domestic rice needs will continue to increase, it is estimated that national rice needs in 2035 will reach 36 million tons. Meanwhile, national rice production capacity is experiencing slow growth or tends to be stagnant. So that it needs an increase in productivity or technical efficiency through the Integrated Crop Management</span><span lang="IN"> (ICM)</span><span> model approach. This study aims to analyze the level of rice ICM technology implementationand the factors that influence the level of rice ICM technology implementation and its effect on the technical efficiency of rice farming in Bogor Regency. Determination of the sample using purposive sampling method, a sample of 60 farmers in the District of Cariu, Pamijahan, and Leuwisadeng </span><span lang="IN">of </span><span>Bogor Regency were analyzed using the scoring method, multiple linear regression models, and the stochastic frontier analyze method. The results showed the level of rice ICM technology implementation in Bogor Regency was classified as moderate (71</span><span lang="IN">,</span><span>54 percent), while the technology component with the highest level of application was jajar legowo spacing of 2:1 (98</span><span lang="IN">,</span><span>50 percent) and the lowest was the use of manure (27 percent). Factors that influence the level of rice ICM technology implementation at α level of 5 percent are non-farm income with an estimated value of 3</span><span lang="IN">,</span><span>318, intensity of SLPTT and non SLPTT training with an estimated value of 2</span><span lang="IN">,</span><span>236, and dummy farmer's employment status with an estimated value of 2</span><span lang="IN">,</span><span>127. While the experience factor of farming with an estimated value of 0</span><span lang="IN">,</span><span>110 and the duration of formal education of farmers with an estimated value of 0</span><span lang="IN">,</span><span>403 has an effect on the level of α of 10 percent. </span><span lang="IN">T</span><span>he level of rice ICM technology implementation with an estimated value of -0</span><span lang="IN">,</span><span>0855 and farmer access to obtain credit with an estimated value of -0</span><span lang="IN">,</span><span>0348 has an effect on the technical efficiency of rice farming at α level of 1 percent, while the land ownership status with an estimated value is -0</span><span lang="IN">,</span><span>2527 at α level of 10 percent. The average level of technical efficiency of rice farming in Bogor Regency is not optimal (67</span><span lang="IN">,</span><span>4 percent), this is due to, among others, the application of technological components that are still relatively low or not as recommended by </span><span lang="IN">ICM</span><span>. Therefore, efforts are needed to increase motivation and farmer participation in implementing </span><span lang="IN">ICM</span><span> technology optimally and sustainably to help meet national rice needs.</span></em>

scholarly journals TECHNICAL EFFICIENCY OF CEREAL PRODUCTION IN NORTH CENTRAL NIGERIA: A CASE FOR MAIZE, RICE AND SORGHUM FARMERS

2016 ◽  
Vol 15 (1) ◽  
pp. 25-34
Author(s):  
M. A. BWALA ◽  
H. S. E. KOKOYE ◽  
R. N. YEGBEMEY
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Cereal Crops ◽  
Stochastic Frontier Model ◽  
Survey Area ◽  
North Central ◽  
Rice Farmers ◽  
Input Combination ◽  
Cereal Production

This study estimated technical efficiency levels of cereal crops producers. The study employed the translog stochastic frontier model to estimate efficiency levels of maize, rice and sorghum producers in the survey area. Findings revealed that maize and sorghum farmers were operating in the efficiency range of 0.50 to 0.98, while for rice farmers efficiency estimates ranged between 0.71 and 0.98. Fur- thermore, it was also observed that a majority of the rice farmers operate in the range 0.91 and 0.98 efficiency levels. Also, about 18% of the farmers operate in the efficiency range of 0.81 and 0.90, while just about 14% operate in the range of 0.96 and 0.98 efficiency levels for rice production. Findings suggest that, all things been equal, most of the cereal crops producers could improve their current levels of production by adjusting their input combination.

scholarly journals TECHNICAL EFFICIENCY OF PADDY’S FARMING IN VARIOUS TYPES OF PADDY’S SEEDS IN INDONESIA

2020 ◽  
Vol 13 (3) ◽  
pp. 286
Author(s):  
Venessa Vasthi Winata ◽  
M. Rondhi ◽  
Yasuhiro Mori ◽  
Takumi Kondo
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Secondary Data ◽  
Household Survey ◽  
Rice Farming ◽  
Frontier Analysis ◽  
Rice Seeds ◽  
The Government

The increasing need for food along with increasing population is one of the problems that must be resolved by Indonesia nation. The government is trying to increase rice production and productivity by using certified seeds. Certified seeds is expected to affect technical efficiency of rice farming. The objectives of this studies are to analyze the level of technical efficiency and to identify the factors that influence the technical efficiency of rice farming in various types of main sources of rice seeds in Indonesia. The study uses secondary data that obtained from Central Bureau of Statistic (BPS) as a results from the 2014 Rice Plant Business Household Survey (SPD 2014). Data were analyzed using stochastic frontier. The results showed that the average technical efficiency level achieved by farmers in rice farming is 0,656 or less than 0,70 (<0,70) so it can be said that rice farming in Indonesia is still technically inefficient. Factors that affecting the technical efficiency of rice farming in various types of main sources of rice seeds in Indonesia were age, formal education, dummy participation of agricultural extension, and dummy certified seeds.  Keywords: certified seeds, rice farming, stochastic frontier analysis, technical efficiency, non-certified seeds

scholarly journals EFISIENSI TEKNIS USAHATANI PADI TADAH HUJAN DI KAWASAN PERBATASAN KABUPATEN SAMBAS DENGAN PENDEKATAN STOCHASTIC FRONTIER FUNGSI PRODUKSI (KASUS DI DESA SEBUBUS, KECAMATAN PALOH)

2016 ◽  
Vol 25 (2) ◽  
pp. 163
Author(s):  
Rusli Burhansyah
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Function Analysis ◽  
Stochastic Frontier ◽  
Rice Paddy ◽  
Rice Production ◽  
Border Region ◽  
Rice Farming ◽  
Rainfed Rice ◽  
The Village

Development of rice for food self-sufficiency in the border region of Sambas regency is quite prospective. However, in the District Paloh rice productivity is still relatively low, allegedly due to inefficiency in the use of inputs. The aim of this study was to analyze the efficiency and income of rice farming in the village of Sebubus, Paloh district. The research method used was stohastic frontier of production function with OLS and Maximum likelihood (MLE). The study was conducted in the village Sebubus, District Paloh between May - June 2014. Sampling was done with Proportionate Stratified Random Sampling. The data used was the cross section data obtained from interviews of 120 rice farmers. The Stohastic frontier of production function analysis was performed using the Cobb-Douglas models. The results showed that land, N fertilizer and K fertilizer significantly affected rice production at 95% confidence level. The results also showed that rainfed rice paddy was relatively efficient technically (mean efficiency of 0,81). Age of farmers was a source of technical inefficiency that significantly could improve technical efficiency. Characteristics of farmers such as age, education and experience could help farmers improve their technical efficiency of rice production. Rainfed rice farming in the village Sebubus was relatively favorable (profit of USD 4,099,582.50) and viable (the value of R/C ratio above 2,84 cash costs and the value of R/C ratio on total cost of $ 2,29).

scholarly journals Estimation of technical efficiency of black cumin (Nigella sativa L.) farming in northwest Ethiopia: a stochastic frontier approach

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Abebe Birara Dessie ◽  
Tadie Mirie Abate ◽  
Betelhem Tsedalu Adane ◽  
Tiru Tesfa ◽  
Shegaw Getu
Keyword(s):  
Technical Efficiency ◽  
Nigella Sativa ◽  
Stochastic Frontier ◽  
Market Price ◽  
Northwest Ethiopia ◽  
Flowering Plant ◽  
Yield Potential ◽  
Stochastic Frontier Model ◽  
Black Cumin ◽  
The Mean

Abstract Ethiopia is one of the east African countries which produce and exports various spices to other countries. Black cumin (Nigella sativa L.) is an important stiff annual flowering plant which mainly grows by producers for its seeds. An increasing demand of black cumin seed and oil in local, national and international market for medicinal, consumption and commercial purpose makes the best alternative crop for small holder farmers in Ethiopia. In spite of its importance, not much has been done to improve its production and productivity in Ethiopia. Therefore, this research was designed to examining efficiency variations and factors influencing technical inefficiency levels of producers on black cumin production in northwest Ethiopia. Primary data were collected using a semi-structured questionnaire administered on 188 black cumin producers selected using systematic random sampling technique. Moreover, various data analysis methods such as descriptive statistics and stochastic frontier model were used for analyzing the data. The empirical result obtained by applying maximum likelihood estimate of stochastic frontier model revealed that seed (p < 0.01) labor (p < 0.05), chemical (p < 0.01) and land (p < 0.05) were significant input variables in determining black cumin production. The mean technical efficiency level of black cumin producer was generally low, about 53.1%. The mean value of actual yield, potential yield and yield gap was 3.131, 5.832 and 2.701 quintals, respectively. Moreover, the result of stochastic frontier model together with the inefficiency parameters revealed that market price of black cumin (p < 0.01) and access of extension service (p < 0.1) were significant variables and positively influenced the efficiency levels of black cumin producers. Whereas age of producers (p < 0.05) and distance to farm plot (p < 0.01) negatively influenced the technical efficiency levels of black cumin producers. Therefore, the study recommends that adoption of latest agricultural technologies; development of institutions, agricultural extension services and infrastructure are advisable to improve the efficiency and commercial value of black cumin production.

scholarly journals Measurement of technical efficiency in the case of heterogeneity of technologies used between firms – Based on evidence from Polish crop farms

2021 ◽  
Author(s):  
Jerzy Marzec ◽  
Andrzej Pisulewski
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Prior Distribution ◽  
Prior Information ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Random Coefficients ◽  
Point Of View ◽  
Model Specification ◽  
Stochastic Frontier Models

In the present study, we have investigated several competing stochastic frontier models which differ in terms of the form of the production function (Cobb-Douglas or translog), inefficiency distribution (half-normal or exponential distribution) and type of prior distribution for the parameters (hierarchical or non-hierarchical from the Bayesian point of view). This last distinction corresponds to a difference between random coefficients and fixed coefficients models. Consequently, this study aims to examine to what extent inferences about estimates of farms' efficiency depend on the above assumptions. Moreover, the study intends to investigate how far the production function's characteristics are affected by the choice of the type of prior distribution for the parameters. First of all, it was found that the form of the production function does not impact the efficiency scores. Secondly, we found that measures of technical efficiency are sensitive to distributional assumptions about the inefficiency term. Finally, we have revealed that estimates of technical efficiency are reasonably robust to the prior information about the parameters of crop farms' production technology. There is also a resemblance in the elasticity of output with respect to inputs between the models considered in this paper. Additionally, the measurement of returns to scale is not sensitive to model specification.

scholarly journals ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT

2006 ◽  
Vol 3 (1) ◽  
pp. 145-148 ◽  
Author(s):  
Nurhayatin Nufus
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Farm Management ◽  
Management Level ◽  
Stochastic Frontier Production Function ◽  
Stochastic Production ◽  
Frontier Production Function ◽  
Land Size

This research  aims  to analyses  factors  influence  on production  and  resources  allocation  of soybeans  by farmer  at  West Lombok.  Production  function  was estimated  from survey data and technical  efficiency  was used to indicate  farm management  level  through maximum  likelihood,  which  was transformed  into frontier stochastic  production  function.  The land  size,  fertilizer  (urea and  TSP), labor  and pesticide  influence  the production  of soybean  at site.  The technical efficciency  level of Soybean fann was 95,6 percent   The  usage of TSP and pesticide reached allocative efficiency while urea and seeds were al/ocative efficiency yet Key words:  technical  effICiency, allocative  effICiency, and stochastic  frontier  production  function.

The Covid-19 pandemic and technical efficiency of Russian firms: a stochastic frontier production function approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Parul Singh ◽  
Kashika Arora ◽  
Areej Aftab Siddiqui
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Market Competition ◽  
Stochastic Frontier ◽  
Innovation Activity ◽  
Peak Period ◽  
Role Of Government ◽  
Content Type ◽  
External Assistance ◽  
The Impact

Purpose This paper aims to undertake the efficiency analysis in the form of stochastic frontier to estimate a Cobb–Douglas production function by controlling for the heterogeneity across Russian firms by including firm size, ownership, age, innovation activity and market competition. Design/methodology/approach During the peak period of Covid-19, certain firms witnessed either a decrease or increase in sales. Using this segregation of firms from World Bank’s Covid-19 impact surveys follow-up to the Enterprise Survey for Russia, this study empirically investigates the determinants of technical efficiency of these firms focusing on the role of government assistance. Findings The findings suggest that by segregating firms in terms of sales, different internal factors can enable in steering through pandemic situation besides just depending on external assistance. Originality/value One of the few papers to analyse the impact of the pandemic on Russian firms by considering World Bank Covid Survey.

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