scholarly journals Efisiensi teknis usahatani kentang pada luas lahan yang berbeda di kabupaten Pasuruan

Agromix ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 102-110
Author(s):  
Desy Cahyaning Utami ◽  
Wenny Mamilianti
Keyword(s):  
Technical Efficiency ◽  
Agricultural Land ◽  
Potato Production ◽  
Vegetable Crops ◽  
Tobit Regression ◽  
Land Area ◽  
Factors Affecting ◽  
The Family ◽  
Tobit Regression Analysis ◽  
Douglas Production Function

Potatoes are upland vegetable crops, which is the superior plant of Tosari District, Pasuruan Regency. Tosari potatoes are the largest contributor to production in East Java. The farmer profession is the main profession in this area, inherited from the family. The land area owned is inherited from the family. The agricultural land area varies, but still found farmers with a land area of more than one hectare. In this study, respondents were divided into two groups, namely farmers with a land area of ≥ 1 hectare called cluster I and respondent farmers with a land area of ≤ 0.5 hectares called cluster II. The purpose of this study was to analyze the effect of production inputs on potato production, to analyze the level of technical efficiency of potato farmers with different land areas, to analyze the factors affecting the level of technical efficiency. The study was conducted by interviewing 49 respondent farmers in Cluster I and 70 respondent farmers in Cluster II. This study uses the Cobb Douglas production function, the analytical methods used are the Stochastic Analysis Frontier (SFA) and the Tobit regression analysis. The results showed that the production inputs that had a significant effect on production in cluster I were seeds, fertilizers, and manure, while in cluster II were fertilizers and pesticides. The level of technical efficiency of farmers who have a land area of ≥ 1 hectare is greater than farmers with a land area of ≤0.5 hectares. The land area has a significant effect on the level of technical efficiency.

scholarly journals Technical Inefficiency Determinants in Potato Production: The case of Potato Farmers in Central Highlands of Ethiopia

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Daniel Hailu ◽  
Keyword(s):  
Soil Fertility ◽  
Technical Efficiency ◽  
Land Tenure ◽  
Household Head ◽  
Sampling Technique ◽  
Potato Production ◽  
Farm Size ◽  
Tobit Regression ◽  
Cross Sectional ◽  
Land Fragmentation

The study identified the factors that cause variation in the level of efficiency in potato production. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected by multistage sampling technique. For the data collection, a personally administered structured questionnaire was used. In the analyses, descriptive statistics, a stochastic frontier model (SFM) and a two-limit Tobit regression model were employed. Tobit model revealed that technical efficiency was positively and significantly affected by education, land tenure status, extension service, credit and soil fertility whereas variables such as sex of household head, age of household head, farm size and land fragmentation affected it negatively. Therefore the study suggested the need for policies to discourage land fragmentation and promote education, extension visits, access to credit and soil fertility for improvement in technical efficiency.

scholarly journals Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 355 ◽  
Author(s):  
Tao Yi ◽  
Ling Tong ◽  
Mohan Qiu ◽  
Jinpeng Liu
Keyword(s):  
Power Generation ◽  
Economic Development ◽  
Tobit Regression ◽  
Generation Efficiency ◽  
Factors Affecting ◽  
Energy Demands ◽  
Photovoltaic Power ◽  
Important Research Topic ◽  
Tobit Regression Analysis ◽  
Efficient Power

With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.

scholarly journals DETERMINAN PRODUKTIVITAS LAHAN PERTANIAN SUBSEKTOR TANAMAN PANGAN DI INDONESIA

2013 ◽  
Vol 14 (1) ◽  
pp. 110
Author(s):  
Fazriyan Wardani Adhitya ◽  
Djoni Hartono ◽  
Agni Alam Awirya
Keyword(s):  
Agricultural Land ◽  
Descriptive Analysis ◽  
Least Square ◽  
Food Crops ◽  
Land Productivity ◽  
Least Square Estimator ◽  
Factors Affecting ◽  
Auto Correlation ◽  
Two Factors ◽  
Douglas Production Function

This study is aimed to analyze the determinant factors affecting the agricultural land productivity of food crops sub-sectors in 25 provinces in Indonesia during the period of 2005-2009. Descriptive analysis is done to describe the agricultural land productivity of food crops sub-sectors in Indonesia. The Cobb-Douglas production function with the assumption of Constant Return to Scale on the food crops sub-sectors production is applied. To solve the heteroschedasticity problems and avoid the auto-correlation, then the Generalized Least Square estimator with Cross-Section Weight is done.The result shows that labors and fertilizer are two factors that do not affect significantly to the productivity of food crops sub-sectors; while capital, research, human resources and irrigation are factors that affect positively to the agricultural land productivity of food crops sub-sectors. The study also shows Java as the area with the highest level of productivity and Maluku has the lowest level of productivity.

scholarly journals PENDAPATAN DAN FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI UBI KAYU MANIS DAN UBI KAYU PAHIT DI KECAMATAN SEPUTIH BANYAK KABUPATEN LAMPUNG TENGAH

2020 ◽  
Vol 8 (2) ◽  
pp. 226
Author(s):  
Jessica Anggraesi ◽  
Raden Hanung Ismono ◽  
Suriaty Situmorang
Keyword(s):  
Household Income ◽  
Random Sampling ◽  
Land Area ◽  
Factors Affecting ◽  
Production Factors ◽  
Significant Difference ◽  
Npk Fertilizer ◽  
Bitter Cassava ◽  
Sweet Cassava ◽  
Douglas Production Function

The objectives of this study are to analyze factors affecting production, analyze the percentage of cassava farming income contribution to household income, and analyze the differences income of sweet cassava and bitter cassava farming. This research was conducted in March to April 2018 in Seputih Banyak, Central Lampung. The to determine production factors, the study used Cobb-Douglas production function. To determine contribution of cassava farming income to household income, the study used production analysis, while to determine income of sweet cassava and bitter cassava farming, the study used Independent Sample T-Test. The number of sample for bitter and sweet cassava were 30 respondents each chosen by non-proportional random sampling. The study indicates that the factors affecting production of bitter cassava are NPK fertilizer, urea fertilizer, SP-36 fertilizer, and harvest age, while the factors that significantly influence sweet cassava are land area and NPK fertilizer. The contribution of industrial cassava farming income to household income is 75.01%, while sweet cassava income only accounts for 6.95% of total household income. There is a significant difference between the income of sweet cassava farming and bitter cassava farming.Key words: cassava, income, production

Analisis Efisiensi Teknis Multi-Stage Menggunakan Data Envelopment Analysis (DEA) dan Regresi Tobit pada Usahatani Bawang Merah, Studi Kasus di Desa Torongrejo, Kecamatan Junrejo, Kota Batu, Jawa Timur

2021 ◽  
Vol 5 (4) ◽  
pp. 1191-1205
Author(s):  
Ryan Winarso ◽  
◽  
Syafrial Syafrial ◽  
Wiwit Widyawati
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Formal Education ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Profitability Analysis ◽  
Production Value

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.

scholarly journals Economic Analysis of Agricultural Credit on Production Efficiency of Borrower Farms

2020 ◽  
pp. 102-110
Author(s):  
S. Padma Rani
Keyword(s):  
Technical Efficiency ◽  
Tamil Nadu ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Farm Households ◽  
Tobit Regression ◽  
Independent Variables ◽  
Farm Credit ◽  
Tobit Regression Analysis ◽  
Frontier Production Function

Credit is one of the most crucial but scarce inputs used in agriculture. Farm credit is an important instrument, which has been used to increase agricultural productivity. The main focus of this research is to examine the role of agricultural credits, production and efficiency of farms in Erode District of Tamil Nadu. Kavunthapadi and Modakurichi block of Erode district was selected. A complete enumeration of farm households which borrowed institutional crop loan in each of the sample villages was made. The survey was conducted among 60 borrowers and 45 non-borrowers farm households. In the present study, the efficiency of farms among borrower and non-borrower sample households was determined by the Stochastic Frontier production function of the Cobb- Douglas type had been used. And Tobit analysis was also done to know the effect of credit on farm efficiency. The efficiency scores obtained from first stage Stochastic Frontier Approach for borrower and non-borrower farms were used as dependent variable and a dummy variable to represent credit (X5i) were used as one of the independent variables in addition to other socio economic independent variables. Results of the model revealed that the number of borrower farms with a technical efficiency of more than 90 per cent were more (57 per cent of the total borrower farms) than that of non- borrower farms (33.3 per cent) which implies that the more percentage of farmers availed credit and adopted technology had higher technical efficiency level (90 per cent). The results also indicated that technical efficiency ranged from 0.41 to 0.99 for non borrowers and from 0.62 to 0.98 for borrowers. The results of Tobit regression analysis indicated that net operational area, farm experience, access to farm credit, had positive and significant relationship with the technical efficiency of the farmer.

scholarly journals Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

2020 ◽  
Vol 12 (3) ◽  
pp. 121
Author(s):  
Abdullah M. Alsabah ◽  
Hassan Haghparast-Bidgoli ◽  
Jolene Skordis
Keyword(s):  
Technical Efficiency ◽  
Efficiency Score ◽  
Hospital Efficiency ◽  
Public Hospitals ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Factors Affecting ◽  
The Mean ◽  
Technical Efficiency Score

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.

scholarly journals The Solution for Narrow Land Agriculture to Obtain Profit in Deli Tua, Indonesia

2018 ◽  
Vol 1 (4) ◽  
pp. 369-375
Author(s):  
Wahyunita Sitinjak
Keyword(s):  
Financial Institutions ◽  
Land Tenure ◽  
Agricultural Land ◽  
Rural Poverty ◽  
Income Level ◽  
Primary Data ◽  
Land Area ◽  
Head Of Household ◽  
The Family ◽  
The Status

Rural poverty is influenced by the level of education of the head of the family, mastery of the base of the land area, and natural conditions (agricultural land). Likewise, in this study of 'Analysis of the Factors Causing Poor Farmers' Revenues in Deli Tua District', it is assumed that farm household income is influenced by factors of education of the head of household, extent of land tenure, access to financial institutions, existence of alternative business and family dependents. The purpose of this thesis research is; (I) to find out whether the extent of land tenure, education level, number of family dependents, accessibility to financial institutions and the existence of business alternatives affect the income level of farmers, (2) to find out whether there is an influence of land area differences on income levels, (3) find out whether there is an influence of the differences in the status of own land and rent to income level, and (4) to find out the income distribution between farmers who control the 0.5 ha cultivated area and farmers who control the cultivated area greater than 0.5 ha. The research was conducted using descriptive method Primary data was collected by distributing 68 questionnaires in 6 (six) villages and villages in Deli Tua sub-district, Deli Serdang district, namely Deli Tua sub-district, Deli Tua Barat and Deli Tua Timur and Mekar Sari village, Kedai Durian and Suka Makmur.

scholarly journals Technical Efficiency in Public Hospitals in Kenya: A Two –Stage Data Envelopment Analysis

2018 ◽  
Vol 10 (6) ◽  
pp. 141
Author(s):  
Francis Kimani Mwihia ◽  
James Machoki M’ Imunya ◽  
Germano Mwabu ◽  
Urbanus M. Kioko ◽  
Benson B. A. Estambale
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Public Hospitals ◽  
Capital City ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Hospital Variation ◽  
Dea Analysis ◽  
Tobit Regression Analysis

The paper uses the DEA technique to estimate efficiency scores in Kenyan public hospitals and then applies the Tobit regression to study inter-hospital variation in the scores. The DEA analysis reveals that small hospitals are more efficient than large hospitals, with efficiency levels ranging from 74-91% in small DMUs and from 57-78% in large DMUs. Tobit regression analysis shows efficiency scores are negatively correlated with the hospital’s distance from the manager’s residence and from the capital city. Internal and external supervisions are suggested as mechanisms for increasing performance of hospitals.

scholarly journals Technical Efficiency of Cabbage Farming (Brassica oleracea) With Stochastic Frontier Analysis (SFA) Approach in Purwodadi - Pasuruan

HABITAT ◽  
2021 ◽  
Vol 32 (1) ◽  
pp. 26-36
Author(s):  
Suaibatul Miskiyah ◽  
Syafrial Syafrial ◽  
Sujarwo Sujarwo
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
High Efficiency ◽  
Sampling Technique ◽  
Influential Factors ◽  
Organic Fertilizers ◽  
Tobit Regression ◽  
Npk Fertilizers ◽  
Factors Affecting ◽  
Frontier Analysis

This study was aimed to analyze the factors affecting the cabbage production, the level of technical efficiency of cabbage farming, the factors affecting technical inefficiency, and the profits of cabbage farming. The location was determined purposively on the basis that it is the center of vegetable cultivation. The respondents were 67 farmers chosen using the Yamane formula sampling technique. This research used frontier software 4.1 data analysis method with Maximum Likelihood Estimation (MLE) approach and Tobit regression. The results showed that land, labor, seeds, organic fertilizers, urea fertilizers, za fertilizers and npk fertilizers were real influential factors. Meanwhile, pesticides were insignificantly influenced. The mean technical efficiency in the research site was 0.903 for the distribution of technical efficiency, so that the cabbage production was rated as high efficiency. Age, education and credit access dummy contributed a major impact on technological inefficiency. The income from cabbage farming per planting season per hectare was Rp35,524,300 from cash costs and Rp31,051,800 from total costs.

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