scholarly journals Technical efficiency of cocoa farming in Gorontalo Province

2021 ◽  
Vol 232 ◽  
pp. 01027
Author(s):  
Ari Abdul Rouf ◽  
Erna Retnawati ◽  
Dwi Rohmadi ◽  
Soimah Munawaroh ◽  
Awaludin Hipi
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Simple Random Sampling ◽  
Significant Rise ◽  
Factors Affecting ◽  
Cocoa Production ◽  
Negative Effect ◽  
Technical Production ◽  
Frontier Production Function

Cocoa is an export oriented strategic plantation commodity that contributes to foreign exchange in Indonesia. It is mostly planted in Sulawesi Island, therefore, serves as a source of income for farmers. The purpose of this study was to analyze the efficiency of cocoa farming in Pohuwato Regency, Gorontalo. A total of 55 respondents were selected by simple random sampling. Furthermore, the Cobb Douglas stochastic frontier production function was used to analyze technical production efficiency and factors affecting it. Cocoa farming can be categorized as profitable, as the farmer reached average profit IDR 6,312,679/ha/year. However, in general cocoa farmers have not yet technically efficient because their technical efficiency value was only 0.52. The cocoa production efficiency was positively and significantly affected by land area, fertilizer, pesticides and labor. The increase in farmer age causes a positive and significant rise in inefficiency. Conversely, education and the number of family members have a negative effect, although not significant. Therefore, it requires to increase cocoa farming efficiency by increasing farmers’ access to production inputs such as fertilizers and pesticides, and improving the management of cocoa cultivation.

scholarly journals ANALISIS EFISIENSI PRODUKSI DAN STRUKTUR BIAYA PADA USAHATANI NANAS DI DESA ASTOMULYO KECAMATAN PUNGGUR KABUPATEN LAMPUNG TENGAH

2021 ◽  
Vol 9 (3) ◽  
pp. 364
Author(s):  
Aji Prayoga Wibowo ◽  
Wan Abbas Zakaria ◽  
Dyah Aring Hepiana Lestari
Keyword(s):  
Production Efficiency ◽  
Stochastic Frontier ◽  
Secondary Data ◽  
Simple Random Sampling ◽  
P Element ◽  
Primary Data ◽  
Factors Affecting ◽  
Stochastic Frontier Production Function ◽  
Farmer Groups ◽  
Frontier Production Function

This study purposes are to analyze factors that affect production of pineapple  farming, production efficiency of pineapple farming, and cost structure of pineapple farming.  Data were collected at Astomulyo Village Punggur Subdistrict Central Lampung Regency in December 2019 – February 2020.  The number of respondents was 63 farmers consisting of 58 farmers who were members of farmer groups and the rest were non-members of farmer groups by using simple random sampling.  The primary data were obtained from direct interview with the pineapple farmers and the secondary data were obtained from several related studies and institutions.  The data were analyzed using Stochastic Frontier production function.  The study shows the factors affecting the production of pineapple farming are land area, C/N ratio, N element, and P element.  The pineapple farming is technically, allocatively, and economically efficient yet.  The biggest costs on pineapple farming are costs of seed, land lease, and labor.Key words: costs, efficiency, farmers, pineapple

scholarly journals Technical Efficiency of Gambir Farming in Lima Puluh Kota Regency, West Sumatra, Indonesia

2021 ◽  
Vol 4 (1) ◽  
pp. 18
Author(s):  
Fauziah Fauziah ◽  
Hasnah Hasnah ◽  
Rusda Khairati
Keyword(s):  
Technical Efficiency ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Plant Age ◽  
System Technology ◽  
Factors Affecting ◽  
West Sumatra ◽  
Npk Fertilizer ◽  
Older Farmers ◽  
Frontier Production Function

This study analyzes the factors influencing gambier productivity, analyzes the technical efficiency of gambier farming, and analyzes the factors affecting gambier farming's technical efficiency. This research was conducted in Lima Puluh Kota Regency, a gambier production center in West Sumatra. Data were analyzed using the Cobb Douglas stochastic frontier production function. The results showed that the factors that significantly influenced gambier's productivity were labor, NPK fertilizer, plant age, number of trees, varieties, and technology. The number of labor, fertilizer factor, plant age, number of trees, and seedling varieties had a positive effect on gambier productivity. In contrast, NPK fertilizer and technology had a negative impact on gambier productivity. The technical efficiency level of gambier farming started from 0.25 to 0.99 with an average level of 0.76. It means that farmers are technically efficient but can still increase gambier productivity if they use production inputs appropriately and adequately. Factors that significantly influence technical efficiency are age, farming experience, and technology. Older farmers will have a higher level of technical efficiency compared to young age. The lower the farming experience, the more technically efficient the farmer is. Farmers who use the hydraulic jack system technology are more efficient than farmers who use the jack system technology

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%

Tourism Supply Efficiency: An Analysis of Countries in the Asia-Pacific Region

2021 ◽  
Vol 12 (4) ◽  
pp. 1139
Author(s):  
Sakkarin NONTHAPOT
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Asia Pacific ◽  
Pacific Region ◽  
Asia Pacific Region ◽  
Factors Affecting ◽  
Technical Performance ◽  
Negative Effect ◽  
Technical Performance Measurement

The objective of this research is to analyze the factors affecting the tourism supply and its efficiency of the tourism supply for countries in the Asia-Pacific region. The method uses the stochastic frontier with Maximum Likelihood Estimation (MLE) analyzed by Frontier software. 4.1. The data were collected from panel data from 2010 - 2019 for 23 countries. The results of the study revealed that 1) Tourism investment from the private sector and timing factors positively affect the tourism supply of countries in the Asia-Pacific region, while the tourism labor value factor has a negative effect on the tourism supply of countries in the region 2) For the technical performance measurement of tourism supply in each sub-region in the Asia-Pacific region, the average is between 0.387 and 0.657. East Asia shows the highest technical efficiency in China, Hong Kong, Japan, Macau and Mongolia while South Asia has the lowest technical efficiency in Bangladesh, India, Nepal, Pakistan, Sri Lanka and the Maldives, respectively.

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 Stochastic Frontier Analysis on Technical Efficiency of Strawberry Farming in Purbalingga Regency Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 105
Author(s):  
Irene Kartika Eka Wijayanti, ◽  
Jamhari Jamhari, ◽  
Dwidjono, Hadi Darwanto ◽  
Any Suryantini
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Central Java ◽  
Frontier Production Function ◽  
Central Java Province

The objective of this study is to determine technical efficiency and factors affecting technical inefficiency of strawberry farming in Purbalingga Regency. This study was conducted in Karangreja Subdistrict, Purbalingga Regency, Central Java Province. Purposive sampling method was utilized to select 100 farmers as the respondents. All of whom have been running their farm business for at least three years consecutively from 2015 to 2017. Stochastic frontier production function was applied to measure technical efficiency and factors affecting technical inefficiency. The findings show that strawberry farming in Purbalingga Regency, Central Java Province, is technically efficient with efficiency number varies between 26.50-99.40% and the average efficiency number of 77.80%. Furthermore, the results indicate that the farmers’ formal education and the number of household members significantly affect the technical efficiency of strawberry farming.

scholarly journals ANALISIS EFISIENSI TEKNIS, EFISIENSI EKONOMIS DAN DAYA SAING PADA USAHATANI BAWANG MERAH DI KABUPATEN NGANJUK-JAWA TIMUR: SUATU PENDEKATAN EKONOMETRIK DAN PAM

2016 ◽  
Vol 23 (2) ◽  
pp. 147 ◽  
Author(s):  
Budi Waryanto
Keyword(s):  
Technical Efficiency ◽  
Organic Fertilizer ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Final Analysis ◽  
Factors Affecting ◽  
Economical Efficiency ◽  
Average Value ◽  
Independent Variable ◽  
Frontier Production Function

Shallot is an important vegetable commodity for most Indonesian people. Shallots production is not yet able to supply the domestic consumption, and some is still met through imports. The challenge to produce shallots will be more complex, such as: the desire of consumers to high-quality products and environmentally friendly, as well as competition with similar products in the era of free trade. Based on these reasons, research has been done and the purpose of this study was to analyze the factors affecting shallots production, measuring the level of technical efficiency and economical efficiency. The study was conducted in Nganjuk District by taking 179 respondents from four sub districts. Interviews were conducted in October and November 2013, planting shallots April unti August 2013. Methods of analysis using the stochastic frontier production function to look at the effect of inputs on shallots production, followed by the analysis of technical efficiency (TE), allocative efficiency (AE) and economical efficiency (EE), and the final analysis of competitiveness using the Policy Analysis Matrix (PAM). The independent variable inputs consist of land (X1), seeds (X2), NPK fertilizer (X3), organic fertilizer (X4), labor (X5) and pesticides (X6). The analysis showed all independent variables significantly affected shallots production, where the value of the elasticity of the independent variable X2 is the highest, amounting to 0.2822. The analysis also obtained an average value of TE is equal to 0.808 means farmers are efficient, although there are farmers who are still not efficient. Although TE has been achieved, but is economically inefficient, because the average value of EE only 0.509. From PAM results it can be seen that farming shallots in this study has a competitive advantage but do not yet have a comparative advantage.

scholarly journals EFISIENSI PENGGUNAAN FAKTOR-FAKTOR PRODUKSI DALAM PRODUKSI JAHE GAJAH

2019 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Bagus Ade Tegar Prabawa ◽  
Ratna Komala Dewi
Keyword(s):  
Production Efficiency ◽  
Market Access ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Average Value ◽  
Education Experience ◽  
Stochastic Frontier Production Function ◽  
Quantitative Descriptive ◽  
Frontier Production Function

ABSTRACT The maximum production can be achieved if using optimum inputs. Production efficiency is influenced by the use of production inputs. The purpose of this research was to examin;: (1) the effect of production factors of jahe gajah; (2) inefficiency and efficiency factor of jahe gajah; (3) farmer's income in jahe gajah farming; and (4) constraints faced in Jahe Gajah production. The research method uses quantitative descriptive methods. The number of samples in this is researc were 66 people determined by the Simple Random Sampling technique. Production efficiency was analyzed using the Stochastic Frontier production function with the Frontier 4.1c program and farmer’s income was analyzed using R/C ratio. The results of the research indicate that; (1) land area variables affect production; (2) education, experience, counseling  dummy variables influence production, while jahe gajah farm is stated to be technically efficient with an average value of 0.910, but not yet allocatively efficient with an average value of 0.668 and not economically efficient with average values of 0.599; (3) the jahe gajah farm has profit R/C ratio 1,7; (4) constraints faced by jahe gajah farmers there is no standards price, difficulty in obtaining market access, and rhizome rotten disease.

Can strategic alliances in food processing increase the technical efficiency of housewives groups in Thailand?

2008 ◽  
Vol 8 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Phanin Nonthakot ◽  
Renato Villano ◽  
Euan Fleming
Keyword(s):  
Technical Efficiency ◽  
Strategic Alliances ◽  
Food Processing ◽  
Stochastic Frontier ◽  
Community Based ◽  
Factors Affecting ◽  
Stochastic Frontier Production Function ◽  
Number Of Factors ◽  
Increase Productivity ◽  
Frontier Production Function

An assessment is made of the effects of strategic alliances, among other factors, on the performance of community-based food processing enterprises in the northern province of Thailand. Using survey data, we estimate a stochastic frontier production function and examine a number of factors affecting technical inefficiency of housewives groups focusing on the nature of strategic alliances. Our results show that vertical strategic alliances in marketing at the regional and provincial levels provide a means for housewives groups to increase productivity by attaining higher levels of technical efficiency through membership.

scholarly journals EFISIENSI PRODUKSI USAHATANI SAYURAN (CABAI, SAWI DAN KUBIS) DI KOTA PAGAR ALAM PROVINSI SUMATERA SELATAN

2020 ◽  
Vol 8 (2) ◽  
pp. 326
Author(s):  
Olpa Fuji Lestari ◽  
Ali Ibrahim Hasyim ◽  
Suriaty Situmorang
Keyword(s):  
Key Words ◽  
Technical Efficiency ◽  
Economic Efficiency ◽  
Nitrogen Fertilizer ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Potassium Fertilizer ◽  
Factors Affecting ◽  
Vegetable Farming ◽  
Frontier Production Function

This research aims to analyze the factors that affect production of vegetable (chili,mustard and cabbage)farming and the technical efficiency. The research was conducted in North Dempo and South Pagar Alam Subdistrict of Pagar Alam. Farmer respondents were chosen by using simple random sampling. Data were collected in May–Juny 2018 and analyzed using Cobb-Douglas production functionnamely frontier production function. The results showed that factors affecting the production of chili farming are area lands, seeds and nitrogen fertilizer. Factors affecting the production of mustard farming are landsize, seeds and potassium fertilizer, and pesticide. Factors affecting the production of cabbage farming are area landslandsizeand manure. Vegetable farming (chili, mustard and cabbage) is on an increasing return to scale (Ep>1) or in irrational area so that it does not meet the requirement for economic efficiency. Chili and mustard farming are technically efficient with an efficiency level greater than 70,00%. The level of technical efficiency of chili farming is 86,99% and mustard farming is 80,08%. Cabbage farming is not technically efficient because the efficiency level is below 70,00%, that is 68,72%.Key words: efficiency, farming, vegetable

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