scholarly journals EFISIENSI TEKNIS USAHATANI JAGUNG MANIS DI DESA GUNUNG MALANG KECAMATAN TENJOLAYA KABUPATEN BOGOR: PENDEKATAN DATA ENVELOPMENT ANALYSIS

2014 ◽  
Vol 4 (2) ◽  
pp. 121-138
Author(s):  
Melissa Amandasari ◽  
Rita Nurmalina ◽  
Amzul Rifin

Efficiency can be used as a measurement for decision making. Technical efficiency is one of them. The objectives of the research are (1) to analyze farming techniques and input usage, (2) to measure the technical efficiency and (3) to identify factors affecting technical efficiency of maize farm in Gunung Malang, Tenjolaya, Bogor Regency. Data Envelopment Analysis (DEA) approach and Tobit Regression are used to analyze. The result shows that farmers in Gunung Malang are inefficient in the use of production inputs. Farmers need to decrease manure usage, TSP fertilizer, and outside labor for technical efficiency. Factors that are affecting the technical efficiency are formal education level, number of household member and farmer association membership.

2021 ◽  
Vol 5 (4) ◽  
pp. 1191-1205
Author(s):  
Ryan Winarso ◽  
◽  
Syafrial Syafrial ◽  
Wiwit Widyawati

Shallot has the highest production value in Indonesia. High production value indicates that shallot is an important commodity, therefore, its potential must be improved. Technical efficiency analysis can be used to measure production efficiency and possible input reduction to maximize the production potential of shallot. The chosen location for this research is Torongrejo Village Batu City, East Java. Shallot productivity value of Batu City is comparable to other central shallot production areas in East Java. The purpose of this research is to understand the farming system and production efficiency of shallot alongside with socio-economics factors affecting its efficiency level. Research method used in this research consists of: profitability analysis of shallot farming, analysis using Data Envelopment Analysis (DEA) to analyze the technical efficiency of shallot production, and Tobit regression to analyze socio-economics factors affecting technical efficiency level. The results from the analyses shows that shallot farming in Torongrejo Village has the R/C ratio of 2,09, with the DEA-CRS technical qfficiency value of 87,7 percent, DEA-VRS technical efficiency value of 99 percent and scale efficiency value of 88,6 percent. The result from Tobit regression using DEA-VRS as dependent variable shows that farming experience and formal education has positive and significant effect on technical efficiency (TE) level, and land ownership status has negative and significant effect on TE level. Shallot production efficiency can be increased by using reduced inputs therefore able to increase farming profit while keep improving farmers’ education and agriculture extension programs for the next generation of farmers.


2017 ◽  
Vol 6 (2) ◽  
pp. 213-226
Author(s):  
Fajar Firmana ◽  
Rita Nurmalina ◽  
Amzul Rifin

Efficiency is an important aspect for farmer that can be used as a measuring tools to make a decision regarding production among available options. There are many different types of efficiency on the farm businesses level, technical efficiency is the one important to note. The objectives of this research is (1) to describe the farming techniques and the use of paddy production inputs, (2) to evaluate the technical efficiency of paddy farm, and (3) to identify the factors that influence the technical efficiency of paddy farms in Kalibuaya Village, Telagasari district, Karawang regency. To analyze the data, data envelopment analysis (DEA) approach and tobit regression are applied. In 2014 growing season, farmers were did not use the inputs in the right amount as being recommended by the instructor, such as the use of seed and fertilizer. The use of Urea, NPK, and labor had the largest percentage of input slacks when compared to the other production inputs. Farmers could reduce the use of urea by 19,173 kg, NPK by 19,319 kg, and labor by 1,385 HOK to make the paddy farm technically efficient. One of the factors that can greatly influence the improvement of farming technical efficiency is the socio-economic factors. Factors that affecting the technical efficiency of paddy farm in Kalibuaya Village were the age, the level of formal education, the use of organic fertilizers, and farming experience. Using the right amount of inputs as recommended by the government can improve the efficiency of paddy farm.


2017 ◽  
Vol 7 (2) ◽  
pp. 103-120
Author(s):  
Juni Hestina ◽  
Rita Nurmalina ◽  
Suharno Suharno

Efficiency is an important aspect for farmer that can be used as a measuring tools to make a decision regarding production among available options. The objectives of this research is to evaluate the technical efficiency of paddy farming, and to identify the factors that influence the technical efficiency of paddyfarms in Jawa and outside Jawa. To analyzed the data, data envelopment analysis (DEA) approach and tobit regression were applied. Farmers were not use the the right amount of inputs as being recommended by the instructor, such as the use of seed, fertilizer NPK and urea. The use of Urea, NPK, and labor had the largest percentage of input slacks when compared to the other production inputs. Farmers in Jawa could reduce the use of urea by 6.75 kg, NPK by 14.96 kg, and labor by 7.45 HOK and farmers in outside Jawa could reduce the use of urea by 32.37 kg, NPK by 6.01 kg, and labor by 15.93 HOK  to make the paddy farm technically efficient. One of the factors that can greatly influence the improvement of farming technical efficiency is the socio-economic factors. Factors that affecting the technical efficiency of paddy farm in Jawa  were the age, the level of formal education, member of Farming group and the number of members in the household, and do not significantly affect the technical efficiency of paddy farm is acces formal finance, and ectention. Factors that affecting the technical efficiency of paddy farm in outside Jawa  were the age, the level of formal education, and member of Farming group and, and do not significantly affect the technical efficiency is the number of members in the household, acces formal finance, and ectention.


2020 ◽  
Vol 27 (9) ◽  
pp. 2521-2536
Author(s):  
Ahmed Mohamed Habib ◽  
Tamer Mohamed Shahwan

PurposeThe efficient use of organizational resources is integral to the existence of prime firms. This study, using Malmquist data envelopment analysis (DEA), aims to assess in the level of operational and financial efficiency and its determinants for ensuring and sustaining excellent performance in 33 Egyptian private hospitals.Design/methodology/approachThis study adopted a Malmquist DEA approach to assess the changes in operational and financial efficiency in Egyptian hospitals. Tobit regression was also used to identify the significant variables affecting their efficiency. In addition, a sensitivity analysis is carried out for model validations.FindingsOut of 33 hospitals, 17 were found inefficient due to the decline in their technical efficiency. Moreover, the total value of the software programs and operational expenses and the total number of employees are common factors affecting both operational and financial efficiency. In addition, the number of physicians significantly affects the hospital's financial efficiency.Practical implicationsThe study sheds light on the value of using DEA to assess efficiency. DEA in the context of emerging economy such as Egypt's can be a useful tool for decision-makers and practitioners in identifying and addressing performance weaknesses and thus supports continuous improvement in performance.Originality/valueSeveral studies have adopted the DEA approach to assess the overall efficiency of hospitals in Europe and the United States. However, in the MENA region, these studies are uncommon. This study is thought to be one of the earliest attempts to assess hospitals' efficiency in Egypt.


Author(s):  
V. Prakash ◽  
J. Rajesh ◽  
M. Thilagam

Data envelopment analysis (DEA) is a method of analyzing the relative efficiency of similar types of organizations known as decision making units (DMU’s). In this paper, DEA model is applied to evaluate the relative technical efficiency of state road transport undertakings (SRTU’s) in India during the period 2011-2012. The authors have considered thirty-four SRTU’s functioning in India. The variables chosen to characteristic production units are the number of fleet held, staff strength and fuel efficiency as inputs and Passengers carried as output. The BCC model is input- oriented allowing for variable returns to scale (VRS), units are ranked and the projection analyses are given.


1997 ◽  
Vol 29 (2) ◽  
pp. 409-418 ◽  
Author(s):  
Jeffrey Gillespie ◽  
Alvin Schupp ◽  
Gary Taylor

AbstractTechnical efficiency measures are calculated for ratite producers using data envelopment analysis. Regression analysis is then used to determine producer characteristics that are likely to lead to higher technical efficiencies. Results indicate that the most technically efficient ratite producers in Louisiana are not producing at the benchmark efficiency level advocated by the industry. Producer experience with other livestock, specialization, and labor are factors likely to lead to higher technical efficiency. These results are expected to hold for most new, alternative livestock enterprises.


Author(s):  
Said Gattoufi ◽  
Yuntong Wang ◽  
Arnold Reisman ◽  
Muhittin Oral

This paper provides a characterization of the classical Charnes, Cooper and Rhodes (CCR) model in Data Envelopment Analysis (DEA). The characterization is based on the Weak Axiom of Profit Maximization (WAPM) in Firm Theory. Efficiency measures for Decision Making Units (DMUs) provided by the classical CCR-DEA model are derived as measurements of deviations from the conditions prescribed by the Weak Axiom of Profit Maximization (WAPM).


2020 ◽  
Vol 12 (3) ◽  
pp. 121
Author(s):  
Abdullah M. Alsabah ◽  
Hassan Haghparast-Bidgoli ◽  
Jolene Skordis

The recent drop in oil prices has challenged public sector financing in Kuwait. Technical and scale efficiency scores for fifteen public hospitals in Kuwait from 2010 to 2014 were estimated using a two-stage data envelopment analysis (DEA). Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences in hospitals. Semi-structured interviews were also carried out with fourteen public and private hospital managers to qualitatively explore their perceptions and experience about about factors affecting hospital efficiency. The mean technical efficiency score for all hospitals was 85.8%, an improvement of 2% since 2010. The mean pure technical efficiency score was 79.6%, improving from 75% in 2010 to 81.2% in 2014. The mean scale efficiency score was 91.8%, improving from 87.6% in 2010 to 94.2% in 2014. Only three hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the average length of patient stay. Hospitals with more than 400 beds were potentially more technically and scale efficient. The qualitative study revealed that external factors affecting efficiency commonly included implemention of legislative changes and decreasing bureaucracy, while internal factors included increasing bed capacity and improving qualifications and training of human resources. Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed. Potential factors that affected the efficiency of hospitals in Kuwait were identified. These findings are useful to decision-makers in Kuwait for developing strategies to improve public hospital efficiency.


2016 ◽  
Vol 18 (3) ◽  
pp. 307-332
Author(s):  
Mokhamad Anwar

This paper evaluates the performance of Indonesian banking sector, focusing on technical efficiency of sharia and conventional banks along with the determinants of its efficiency during the period 2002-2010. Data Envelopment Analysis is employed to estimate banks technical efficiency and Tobit-regression is used to reveal the determinants of the efficiency over the panel data of 116 banks, including 109 conventional banks and 7 sharia banks. The result shows that sharia banks outperformed conventional banks in one model when it takes into account small business finance (SBF) as one of the output components in the model. Sharia banks have higher average SBF portfolio than those of conventional banks’ portfolio. The result indicates the efforts of Indonesian sharia banks to obey one of the principles in Islamic banking, “the emphasis on Islamic principles of morality”. By observing all models, it is concluded that the size of the bank, capital adequacy and liquidity are of banks characteristic factors which are very important to increase banks’ efficiency


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