scholarly journals The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach

2017 ◽  
Vol 9 (9) ◽  
pp. 1648 ◽  
Author(s):  
Lisandro Roco ◽  
Boris Bravo-Ureta ◽  
Alejandra Engler ◽  
Roberto Jara-Rojas
Keyword(s):  
Climatic Change ◽  
Agricultural Productivity ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Central Chile ◽  
Stochastic Production ◽  
The Impact

scholarly journals The impact of agricultural extension on farmers’ technical efficiencies in Ethiopia: A stochastic production frontier approach

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Kidanemariam G. Gebrehiwot
Keyword(s):  
Technical Efficiency ◽  
Agricultural Extension ◽  
Research Area ◽  
Population Pressure ◽  
Extension Service ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Extension System ◽  
Stochastic Production ◽  
The Impact

Background: To address the structural food deficit and top down extension system that persisted for decades, the government of Ethiopia has introduced a new extension system, called Participatory Demonstration and Training Extension Systems, which serves more than 80% of the total population. As the program was streamlined to fit the different agro-climatic condition of the country, the extension approach practiced in the Tigray region (research area) was called Integrated Household Extension Program.Aim: This article reports on research aimed at measuring the technical efficiency levels of extension participants and non-participants; measuring the impact extension service on technical efficiency.Setting: The research was conducted in the northern part of the country, where agriculture is the main sources of livelihoods. Moisture is the most critical factor in the production system. The land holding size averages 0.5 ha per household compared to above three ha 30 years ago; indicating the high population pressure in the area.Methods: A sample of 362 agricultural extension service participants and 369 non-participant farm households from the northern part of Ethiopia, participated in the study. The stochastic production frontier technique was used to analyse the survey data and to compute farm-level technical efficiency.Results: The results showed an average level of technical efficiency of 48%. It is suggested that substantial gains in output and/or decrease in cost can be attained with the existing technology. All the variables included in the model to explain efficiency were found significant and with the expected sign, except education and number of dependants.Conclusion: The research tried to assess the impact of a new extension service (participatory in nature) on farmers’ productivity in a semi-arid zone, as compared with the conventional extension service and found in the literature areas with relatively better climatic conditions. Hence, if extension administrators could work to uplift the average and below average farmers into better performing farmers level, the overall production and living condition could improve substantially in the research area, and more or less in the rest part of the country.

scholarly journals The Impact of Parcel Structure on the Efficiency of Finnish Dairy Farms

2015 ◽  
Vol 44 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Olli Niskanen ◽  
Anna-Maija Heikkilä
Keyword(s):  
Technical Efficiency ◽  
Dairy Farms ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Parcel Size ◽  
Farm Efficiency ◽  
Stochastic Production ◽  
The Impact

In Finland, expanding dairy farms often face the problem of additional fields being geographically distant and only available as small parcels. We develop a stochastic production frontier model to estimate the technical efficiency of Finnish dairy farms and simulate the effect of parcel distance and parcel size on the efficiency of an average farm for 2000 through 2009. The overall development of technical efficiency is positive during the study period but increases in distance and decreases in parcel size both significantly reduce farm efficiency. Therefore, efforts to improve the parcel structure are justified.

scholarly journals Land Tenure and Technical Efficiency of Smallholder Tea Producers: The Case of Ya’An City, China

2021 ◽  
Vol 24 (2) ◽  
pp. 21-34
Author(s):  
Abrham Tezera Gessesse ◽  
Ge He
Keyword(s):  
Technical Efficiency ◽  
Land Tenure ◽  
Smallholder Farmers ◽  
Farm Size ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Tenure Security ◽  
Tea Production ◽  
Stochastic Production ◽  
The Impact

70 percent of the world and 80 percent of China’s tea production produced by smallholder farmers. However, the tea production per unit area significantly unchanged in the past decades. Understanding factors affecting the technical efficiency of smallholder tea producers is very important to maximize tea production. Aimed at examining the impact of land tenure security and land certification on smallholder tea producers’ technical efficiency, this paper employs the Cobb- Douglas Stochastic Production Frontier (CD-SPF) and Translog Stochastic Production Frontier (TL- SPF) methods for Maximum Likelihood Estimate (MLE) with cross-sectional data collected from 161 randomly selected tea farm plot households in Ya’an city, China. We found that an 1 mu (0.067 ha) increase in the tea farm size will produce a 1.086 tea yield advantage for smallholder tea farmers. We also found that the values of input-output elasticity of land size, household income and labor decrease in turn with 0.144, 0.105 and 0.010 respectively. The results show that farm size is a more crucial input for tea production than income and labor. Moreover, we identify the determinations which enhance the technical efficiency of smallholder tea producers such as land certification, land tenure security age, education, farming experience, total farm size holding, chemical fertilizer, plot steepness and plot distance from home and find that the elimination of land tenure insecurity through land registration and certification makes a clear difference in that. We therefore recommend that tea farmland need to expand and enlarge for better production through comprehensive land consolidation program. We also suggest endorsing the land certificates of all land holders as this will help improve land tenure security, enhance technical efficiency and promote the tea production of smallholder producers.

scholarly journals Dampak Liberalisasi Perdagangan terhadap Efisiensi Teknis Perusahaan pada Industri Manufaktur Indonesia

2013 ◽  
Vol 14 (1) ◽  
pp. 82-108
Author(s):  
Tsurayya Nurrahma
Keyword(s):  
Trade Liberalization ◽  
Technical Efficiency ◽  
Manufacturing Industry ◽  
Manufacturing Firms ◽  
Efficient Production ◽  
Firm Characteristics ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Stochastic Production ◽  
The Impact

AbstractHaving data sample in 1987, 1995, and 2008, this research aims to analyze the impact of trade liberalization on technical efficiency of Indonesian manufacturing firms since deregulation in the 1980s. In addition, the research also analyzes the impact of other efficiency determinants coming from firm characteristics and market structure. Technical inefficiency score is estimated by using stochastic production frontier model, whereas the impact of efficiency determinants is analyzed by using Ordinary Least Squared model (OLS). For each year observed, liberalization has different impacts on technical efficiency. However, as liberalization continues, it has facilitated firms to produce towards their full technical efficient production-level.Keywords: Trade Liberalization, Firm Technical Efficiency, Manufacturing Industry, IndonesiaAbstrakDengan mengambil sampel tahun 1987, 1995, dan 2008, studi ini dilakukan untuk menganalisis dampak liberalisasi perdagangan terhadap efisiensi teknis perusahaan dalam industri manufaktur Indonesia sejak deregulasi pada tahun 1980-an. Selain itu, dianalisis pula pengaruh faktor determinan efisiensi lainnya yang berasal dari karakteristik internal perusahaan dan struktur industri. Nilai inefisiensi teknis diestimasi dengan model stochastic production frontier, sedangkan analisis pengaruh faktor determinan efisiensi teknis menggunakan model Ordinary Least Squared (OLS). Hasil studi menunjukkan bahwa liberalisasi perdagangan memiliki dampak berbeda terhadap efisiensi teknis pada setiap tahun yang diamati. Namun, liberalisasi akhirnya dapat memfasilitasi perusahaan dalam meningkatkan performanya, melalui peningkatan nilai efisiensi teknis.Kata kunci: Liberalisasi Perdagangan, Efisiensi Teknis Perusahaan, Industri Manufaktur, Indonesia

scholarly journals Greening Modern Rice Farming Using Vermicompost and Its Impact on Productivity and Efficiency: An Empirical Analysis from Bangladesh

Agriculture ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 239
Author(s):  
Sanzidur Rahman ◽  
Basanta Kumar Barmon
Keyword(s):  
Sustainable Agriculture ◽  
Random Sample ◽  
Empirical Analysis ◽  
Commercial Production ◽  
Policy Implications ◽  
Rice Farming ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Stochastic Production ◽  
The Impact

Greening modern rice farming while improving productivity and reducing chemical use is a desirable goal for sustainable agriculture. This paper analyzes the impact of vermicomposting on productivity and efficiency of modern rice farming using a random sample of 340 farmers from the southwestern region of Bangladesh by applying a stochastic production frontier approach. Results reveal that productivity is significantly higher and the use of chemicals is significantly lower for vermicompost users as expected. However, profitability gain is not significantly different mainly due to the high cost of vermicompost. Use of vermicompost significantly increases productivity along with other conventional inputs and its users are relatively more technically efficient. Policy implications include investments to raise farmers’ awareness of the benefits of vermicomposting and support entrepreneurs to expand commercial production of vermicompost, which will synergistically curb the use of chemicals in modern rice farming while improving productivity and efficiency.

Does a Diversified Crop Portfolio Make Farmers More Efficient? A Stochastic Production Frontier Analysis of Farm-level Data from Assam, India

2021 ◽  
pp. 097300522199758
Author(s):  
Raju Mandal ◽  
Shrabanti Maity
Keyword(s):  
Positive Impact ◽  
Northeast India ◽  
Government Support ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Frontier Analysis ◽  
Farm Level ◽  
Agriculture Sector ◽  
Level Data ◽  
Stochastic Production

The agriculture sector in India is beset with twin limitations of shrinking cultivable area and absence of major technological breakthroughs in the recent past. In such a situation, a judicious management of the farm in the form of adjustment in a crop portfolio can be quite useful to maximise output and minimise wastage of resources. This article seeks to examine whether a diversified crop portfolio makes the farmers more efficient using farm-level survey data collected from geographically diverse areas of Assam, a state in northeast India. The results of a stochastic production frontier analysis show that adoption of a diversified crop portfolio across crops and seasons makes the farmers more efficient in cultivation by helping them reduce weather-induced damages to crops and reap better returns from farming. This efficiency-enhancing effect of crop diversification is found to be heterogeneous among the regions. However, too much diversification reduces the efficiency of farmers. The results have important implications for Assam where floods cause extensive damage to crops every year. Moreover, access to extension services and government support are found to make the farmers more efficient. On the other hand, fixed-rent form of tenancy reduces efficiency of the farmers while household size has a positive impact on the same.

scholarly journals The Economics and Productivity of Organic versus Conventional U.S. Dairy Farms

2021 ◽  
pp. 1-19
Author(s):  
Richard F. Nehring ◽  
Jeffrey Gillespie ◽  
Catherine Greene ◽  
Jonathan Law
Keyword(s):  
United States ◽  
Returns To Scale ◽  
Dairy Farms ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Return On Assets ◽  
Input Distance Function ◽  
Technological Adoption ◽  
Stochastic Production ◽  
Certified Organic

Abstract United States certified organic and conventional dairy farms are compared on the basis of economic, financial, and technological measures using dairy data from the 2016 USDA Agricultural Resource Management Survey. A stochastic production frontier model using an input distance function framework is estimated for U.S. dairy farms to examine technical efficiency and returns to scale (RTS) of farms of both systems and by multiple size categories. Financial and economic measures such as net return on assets and input costs, as well as technological adoption measures are compared by system and size. For both systems, size is the major determinant of competitiveness based on selected measures of productivity and RTS.

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