scholarly journals Technical Efficiency Analysis of shallot Farming in Bima Regency- NTB Province Using the Cobb-Douglas Stochastic Frontier Production Function

AGRIMOR ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 155-162
Author(s):  
Muhammad Nursan ◽  
Nurtaji Wathoni
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Fertilizer Application ◽  
Research Area ◽  
Production Factor ◽  
Stochastic Frontier Production Function ◽  
Alpha Level ◽  
Cultivation Technology ◽  
Frontier Production Function

Bima Regency is the center for the development and production of the largest shallot commodity in NTB Province. However, the productivity of shallots in Bima Regency still needs to be increased in order to achieve maximum production. The purpose of this study is to analyze the factors that influence shallot farming and to analyze the technical efficiency of farmers in conducting shallot farming. Bima Regency is the research area determined by purposive sampling because it is the center of shallot development in NTB Province. The research data was taken by conducting interviews with 35 respondents who were determined by proportional sampling. Then the data obtained were analyzed using the Cobb Douglas Stochastic Frontier production function approach using the Frontier 4.1 software program. Based on the results of the analysis, it was found that the production factor of the number of seeds, urea fertilizer and labor had a significant effect on the production of shallots at the alpha level of 5 percent while pesticides and KCL fertilizers had a significant effect on the production of shallots at the alpha level of 15 percent. The level of technical efficiency of onion farming in Bima Regency is classified as efficient because it has a value of 0.9569. Farmers can still improve efficiency in onion farming by optimizing the use of superior seeds, labor, balanced fertilizer application, and increasing farmers' skills in adopting innovation and using onion cultivation technology.

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.

scholarly journals Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China

2019 ◽  
Vol 11 (19) ◽  
pp. 5225
Author(s):  
Furong Chen ◽  
Yifu Zhao
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Production Function ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Grain Production ◽  
Marginal Productivity ◽  
Rural Labor ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function

This paper investigated the determinants, especially labor transformation, and differences of technical efficiency between main and non-main grain-producing area in China based on a panel data from 30 provinces in the period of 2001–2017. Stochastic frontier production function was used to estimate the level of technical efficiency and the marginal productivity of different inputs. The estimated results showed that land is the most important factor to improve China’s grain output, followed by fertilizers, labor, and machinery inputs. There was a significant 4.6 percent gap of production efficiency between main and non-main producing provinces. Influence of rural labor transformation was confirmed to be positive to improve technical efficiency.

scholarly journals ANALISA TINGKAT EFISIENSI SEKTORAL DAN RESPON KEBIJAKAN EKONOMI SEKTORAL DI DAERAH

2012 ◽  
Vol 14 (3) ◽  
pp. 317-338 ◽  
Author(s):  
M. Abdul Majid Ikram ◽  
Andry Prasmuko ◽  
Donni Fajar Anugerah ◽  
Ina Nurmalia Kurniati
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Regional Level ◽  
Primary Input ◽  
Stochastic Frontier Production Function ◽  
Production Function Approach ◽  
Input Efficiency ◽  
Frontier Production Function ◽  
Sectoral Performance

This paper analyzes the contributon of primary input; capital anda labor, on sectoral performance in Indonesia. The analysis cover sall sectors both in national and regional level, and also the dynamic of input efficiency across period. Using stochastic frontier production function approach, this paper found the aggregate share of capital is 0.20 and 0.34 for labor; conforming the dominance of labor. The highest three technical efficiency is Mining sector (88.65%), Manufacture (70.47%) and Financial (65.93%), while the lowest one is Electric, Gas and Water (25.38%).Keywords: efficiency, stochastic frontier, productivity, Indonesia.JEL Classification: D24, J24, O18

scholarly journals MEASURING THE TECHNICAL EFFICIENCY OF POTATO PRDUCTION AND ITS DETERMINATS IN IRAQ (BAGHDAD PROVINCE AS CASE STUDY).

2020 ◽  
Vol 51 (6) ◽  
pp. 1634-1643
Author(s):  
Al-Hachami & et al.
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Cross Section Data ◽  
Technical Inefficiency ◽  
Section Data ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function

This study aimed to estimate the stochastic frontier production function and the inefficiency function and technical efficiency of potato production by using cross-section data collected from 173 potato farms that were randomly selected in Baghdad province/ Yusifiyah for production season 2016. The results showed that 90.6% of inefficiency in production was due to technical inefficiency. Also, there was a significant relationship between the variables of inefficiency function and the inefficiency of farms. The values of the parameters of the stochastic frontier production function were positive and significant for both human work hours and the amount of seeds. However, the parameter of DAP fertilizer was negative and significant. The estimation of the technical inefficiency function showed that its parameters were significant for both the local seed provider and the agricultural season (fall), while the parameters experience in growing potatoes and the number of irrigations were significant and their impact was negative on the inefficiency. The results also showed that the technical efficiency of the study sample (50%) on average. The researchers recommended the necessity of providing imported seed tubers for the increased productivity in dunum to achieve technical efficiency.

scholarly journals Formation and Efficient Estimation of Stochastic Frontier Production Function

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
N. J Dhanesh
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Efficient Estimation ◽  
Production Functions ◽  
Production Model ◽  
Stages Of Growth ◽  
Stochastic Frontier Production Function ◽  
Plantation Crops ◽  
Frontier Production Function

Technological change and efficiency improvement are important sources of productivity growth in any economy. The concept of technical efficiency (TE) is based on input and output relationships. Technical inefficiency arises when actual or observed output from a given input mix is less than a possible mix. The analysis of technical efficiency involves the assessment of the degree to which the production technologies are utilized. The present investigation on “Formation and efficient estimation of stochastic frontier production functions” was carried out in the Department of Agricultural Statistics, College of Horticulture, Vellanikkara, during 2010 -13. To assess the present economics of pepper cultivation, to formulate a new stochastic frontier production function and to compare different stochastic frontier production functions. The secondary data on the area of holdings, number of vines, yield, expenses for machinery, labour, manure, and other expenses for the cultivation of the major spice pepper collected from the Department of Plantation Crops and Spices, College of Horticulture, Vellanikkara were used for the analysis. For the stochastic frontier production model to be realistic, an exact measurement of the cost of the inputs and the realized output is extremely necessary. Very few farmers keep records of the expenditure incurred on the various inputs and rarely the output realized. Vegetable crops have a short duration. So the farmer will be in a position to give realistic figures regarding the various inputs as also the outputs. As regards plantation crops, there will be a lag right from the establishment of the crop to the steady bearing stage. Therefore, it will be very difficult to trace back the exact cost, as no records would be available about the costs incurred. Therefore, a rapid estimation survey is the only feasibility wherein simultaneous estimation of the costs involved from the nursery through the various stages of growth can be observed. Since a farmer who is already having a steady-bearing crop would have incurred lesser costs through the previous stages of growth of the crop, it is most feasible to use the concept of present worth to arrive at the exact costs of previous stages of the crop. The stochastic frontier analysis was done using the present value (PV) and the present cost.

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