scholarly journals An Analysis of the Impacts of Weather on Technical Efficiency in Czech Agriculture

2015 ◽  
Vol 63 (5) ◽  
pp. 1645-1652 ◽  
Author(s):  
Barbora Hřebíková ◽  
Lukáš Čechura
Keyword(s):  
Technical Efficiency ◽  
Agricultural Production ◽  
Stochastic Frontier ◽  
The Czech Republic ◽  
Proxy Variable ◽  
Stochastic Frontier Production Function ◽  
Stochastic Frontier Models ◽  
Eu Project ◽  
Frontier Production Function ◽  
The Impact

Although weather is a significant determinant of agricultural production, it is not a common practice when analysing production to control for its impact. The problem is methodological, since it is difficult to find a proper proxy variable for weather in these models. The aim of this study is to investigate these issues. First, several possibilities for describing weather and its inclusion into stochastic frontier models are defined and discussed. Then, the explicit impact of weather on the technical efficiency of Czech farmers in different regions of the Czech Republic for the period 2004–2009 is analyzed and discussed. We use a proxy variable in the form of Iowa indices in the production analysis, in order to capture the impact of weather on technical efficiency. A stochastic frontier production function model in the form of the BC Model is defined, and weather enters the model as a variable explaining technical inefficiency. The paper arose within the framework of solution of the 7thFP EU project COMPETE no 312029.

scholarly journals Impact of Variety Type and Irrigation on Technical Efficiency of Potato Farmers: The Case of Terai Region of Nepal

2020 ◽  
Author(s):  
Surya Prasad Adhikari ◽  
Yuga Nath Ghimire ◽  
Krishna Prasad Timsina ◽  
Samaya Gairhe
Keyword(s):  
Technical Efficiency ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Sampling Procedure ◽  
Potato Varieties ◽  
Stochastic Frontier Production Function ◽  
The Mean ◽  
Frontier Production Function ◽  
The Impact

Abstract The national average potato productivity is far below as compared to other neighbouring countries due to several production constraints. Variety and irrigation are the important factors to increase production. The aim of this study is to find the technical efficiency of potato production and to estimate the impact of variety type and irrigation on technical efficiency. A multistage random sampling procedure was employed to select 300 potato farmers from three districts of Nepal. The study used a stochastic frontier production function model to find the production elasticity coefficients of inputs, determinants of efficiency, and technical efficiency of potato farmers. Results showed that variety type and irrigation have a significant positive impact on the technical efficiency of potato production. Nepalese improved varieties adopter farmers were more efficient (73%) than Indian (66%) and local (59%) potato varieties. Likewise, Irrigated potato farming has higher efficiency (71%) than rainfed potato (61%) farming. The mean technical efficiency value of potato farmers was 69 per cent and farmers can increase it with better use of available resources. It is suggested that use of improved potato varieties and irrigation application along with proper amounts of inputs used help to improve technical efficiency of potato farmers.

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 Effisiensi Produksi Industri Skala Kecil Batik Semarang: Pendekatan Fungsi Produksi Frontier Stokastik

2011 ◽  
Vol 4 (1) ◽  
Author(s):  
Ngatindriatun Ngatindriatun ◽  
Hertiana Ikasari
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Free Variable ◽  
High Price ◽  
Small Scale ◽  
Central Java ◽  
Stochastic Frontier Production Function ◽  
Analysis Instrument ◽  
Frontier Production Function

Batik is known since 17th century. In 2009, UNESCO took batik as the world heritage. Likewise, Batik Semarang. Batik Semarang is unpopular than other batik’s products on Central Java. Their productivity is on small scale and only for environment surroundings. The small productivity causes the high price on their product selling. The aims of this research are to estimate the function of production and technical efficiency of batik Semarang. Sample is 67 owners of small scale batik Semarang industry. Analysis instrument is Stochastic Frontier Production Function. The measuring of production efficiency are material, support material, labor force, instruments, kerosene, firewood, and large of trade location. The result shows that free variable is found significant and have an appropriate signal. Other result shows that technical efficiency of batik Semarang industry is 88, 9%

scholarly journals Is tilapia farming financially profitable and efficient? Policy options for sustainable farming

2019 ◽  
Vol 17 (1) ◽  
pp. 92-98
Author(s):  
Mezamun -Ara Mukta ◽  
Md. Akhtaruzzaman Khan ◽  
Md Rais Uddin Mian ◽  
Rahat Ahmed Juice
Keyword(s):  
Technical Efficiency ◽  
Production Cost ◽  
Stochastic Frontier ◽  
Market Price ◽  
Total Production ◽  
Policy Options ◽  
Financial Benefit ◽  
Stochastic Frontier Production Function ◽  
High Production Cost ◽  
Frontier Production Function

Tilapia (Oreochromis niloticus) is known as ‘fish for the poor’ due to its low market price. However, the question remains about the sustainability of this species because of high production cost and lower market price.  Therefore, this study examined the financial profitability, technical efficiency and tried to find out the policy options for increasing the financial benefit of fish farmers. A total of 250 tilapia fish farmers were selected from seven tilapia producing areas of Bangladesh. To fulfill the objectives of this study, profitability, stochastic frontier production function, and sensitivity analysis were employed.  Considering all selected farmers, tilapia farming found a profitable business where undiscounted BCR was only1.11. Among all cost items, only feed consists of 70 percent of the total production cost.  The mean technical efficiency level of tilapia fish farmers was 85 percent, implies that by operating at full technical efficiency levels, tilapia yield could be increased from the current level of 20.98 to 24.13 tons per hectare and efficient farmers found more productive than inefficient farmers. Farmer’s financial benefit can be increased by reducing the feed price, decreasing FCR or increasing the output price. Feed price reduction or enhance the quality of feed could be effective policy options for sustaining the tilapia farming. J. Bangladesh Agril. Univ. 17(1): 92–98, March 2019

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 Measuring Technical Efficiency of Onion (Allium cepa L.) Farms in Bangladesh

2012 ◽  
Vol 37 (1) ◽  
pp. 171-178 ◽  
Author(s):  
MA Baree
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Mean Value ◽  
Farm Size ◽  
Stochastic Frontier Production Function ◽  
Level Data ◽  
Allium Cepa L ◽  
Additional Costs ◽  
Experience Education ◽  
Frontier Production Function

An attempt was made to determine the overall farm-specific technical efficiency or inefficiency of onion farms of Bangladesh. Farm-level data were used for the estimation of the parameters of Cobb-Douglas stochastic frontier production function. The model for technical inefficiency effects in the stochastic frontier included age, experience, education, and farm size. The elasticity of output with respect to land, labour, and capital cost was estimated to be positive values of 0.3026, 0.0718, and 0.0442, respectively, and also significant. With respect to seed and irrigation, it was found to be insignificant with negative values of 0.0045 and 0.0007. It indicates that per hectare yield of onion decreases if the amount of seed and irrigation hour increase. The coefficients of age, experience, and farm size were significant with expected negative signs, which means that the inefficiency effects in onion production decreases with increase in age, experience, and farm size. The technical efficiency of onion farms varied from 58% to 99% with mean value of 83%. It denotes that there is a scope to increase output per hectare of onion farm by 17% through the efficient use of production  technology without incurring any additional costs. DOI: http://dx.doi.org/10.3329/bjar.v37i1.11191 Bangladesh J. Agril. Res. 37(1): 171-178, March 2012  

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

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