scholarly journals ANALYSIS OF EFFICIENCY OF TECHNICAL AND FACTORS AFFECTING IN AROMATIC RICE FARMING IN THE SELUMA REGENCY

2021 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Maheran Mulyadi ◽  
Ketut Sukiyono ◽  
Sriyoto Sriyoto
Keyword(s):  
Technical Efficiency ◽  
Likelihood Estimation ◽  
Stochastic Approach ◽  
Research Area ◽  
Function Parameter ◽  
Maximum Efficiency ◽  
Aromatic Rice ◽  
Rice Farming ◽  
Factors Affecting ◽  
Log Likelihood

The research objective is to determine the level of technical efficiency and the factors that influence the level of technical inefficiency, to analyze the relationship between input and output in the production process of aromatic rice farming in Seluma regency.Total number of respondents were 73 farmers who planted Aromatic rice. The Cobb Douglass of Frontier Stochastic approach was used, whereas for the factors that influence the inefficiency function as the initial answer of the above analysis results of the production function parameter were obtained through the Maximum Likelihood Estimation (MLE), with an LR value of 14.3620 which was higher than t table 99% (2.39). It had a significant effect on the 99% confidence level. It was seem that, there was no meaning that all aromatic rice farmers in the regency were 100% efficient. It could be seen that the MLE log-likelihood value of 29.9157 was higher than the OLS log-likelihood value of 22.7347. The lowest technical efficiency value was achieved by the farmers by 0.55 and the highest by 0.97.  In the research area, the majority of the use of production factors was efficient, from 73.34% already in the value of efficiency between 0.90-1.00, meaning that 73.34% had approached the maximum efficiency. The result of the disseminated coefficient (R2) of 0.277 could mean a significant effect of 27.7 percent on the inefficiency variable while the remaining 72.3 percent is influenced by other factors not included in this research variable.

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 Technical Efficency Of Soybean In Pandeglang Regency

Agro Ekonomi ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 1
Author(s):  
Nivo Ardiansyah ◽  
Slamet Hartono ◽  
Any Suryantini
Keyword(s):  
Technical Efficiency ◽  
Sample Selection ◽  
Simple Random Sampling ◽  
Research Area ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Soybean Production ◽  
Average Value ◽  
Production Factors ◽  
Efficient Level

Pandeglang district is the largest soybean producer region in Banten province. Since the last four years, Pandeglang Regency has decreased land area and production. However, the amount of soybean productivity has increased. The ability of farmers to manage and allocate various inputs used in soybean farming affects the production and productivity of soybean and can give an idea of the level of efficiency achieved by farmers. So it is necessary to research whether the application or use of inputs in the process of soybean production has been at technically efficient level or not. Based on these conditions, in this study aims to: know the level of technical efficiency in soybean farming in Pandeglang regency. The basic method used in this research is descriptive method and the location of research is determined intentionally or purposive sampling. Sample selection for soybean farmer respondents was done by simple random sampling method of 77 soybean farmers. The result of the research shows that production factors that significantly affecting soybean production in Pandeglang are wide, fertilizer and insecticide. The average value of farmers' technical efficiency is 0.864. This figure indicates that the average farmers of respondents have reached technical efficiency in soybean production in the research area. the technical efficiency value of the stochastic function with the lowest value 0.6314 and the highest value 0.9599. Factors affecting technical inefficiency are age and training. However, these factors have a positive effect, meaning that both increase the level of technical inefficiency of soybean farming.

scholarly journals Efisiensi Teknis Pengelolaan Tanaman Terpadu Padi Sawah di Kabupaten Karanganyar, Provinsi Jawa Tengah

2020 ◽  
Vol 37 (2) ◽  
pp. 123
Author(s):  
Restie Novitaningrum ◽  
Suprapti Supardi ◽  
Sri Marwanti
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Estimation Method ◽  
Crop Management ◽  
Likelihood Estimation ◽  
Primary Data ◽  
Rice Farming ◽  
Integrated Crop Management

English<br />A way to increase rice productivity and production is to increase efficiency by technological innovation. Integrated Crop Management (ICM) is an approach to improve the efficiency of rice farming by integration of technological components that are applied according to local specific condition. This study aims to analyze technical efficiency and inefficiency of integrated crop management implementation in rice farming. The study was conducted in Jaten Subdistrict, Karanganyar Regency, Central Java Province, in 2017. Primary data was collected from samples of 51 farmers that implemented the ICM and 42 farmers that did not use ICM. Data were analyzed using stochastic frontier production function that was estimated with the Maximum Likelihood Estimation method. The results show that rice farms have been technically efficient in general. The technical efficiency of ICM adopters in the range of 71,41-98,14% with average 94,04%, higher than those of non ICM adopters in the range of 68,50-96,96% with average 91,72%. There is a room for increasing efficiency. Formal education and ICM adoption increase technical efficiency. Farmer's ability to implement PTT can be improved through extension and training programs.<br /><br /><br />Indonesian<br />Salah satu cara untuk meningkatkan produktivitas dan produksi padi adalah dengan meningkatkan efisiensi melalui inovasi teknologi. Pengelolaan Tanaman Terpadu (PTT) merupakan sebuah pendekatan untuk meningkatkan efisiensi usaha tani padi dengan integrasi komponen-komponen teknologi yang diterapkan sesuai spesifik lokasi. Penelitian ini bertujuan untuk menganalisis efisiensi dan sumber inefisiensi teknis pada penerapan PTT usaha tani padi sawah. Penelitian dilakukan di Kecamatan Jaten, Kabupaten Karanganyar, Jawa Tengah, pada 2017. Data primer dikumpulkan dari 51 petani yang menerapkan PTT dan 42 petani yang tidak menerapkan PTT. Analisis data menggunakan fungsi produksi stokastik frontier yang diduga dengan metode Maximum Likelihood Estimation (MLE). Hasil analisis menunjukkan bahwa usaha tani padi sawah umumnya sudah efisien secara teknis.  Nilai efisiensi teknis usaha tani dengan penerapan PTT berkisar 71,41-98,14% dengan rata-rata 94,04%, lebih tinggi daripada usaha tani tanpa penerapan PTT yang formal berkisar 68,50-96,96% dengan rata-rata 91,72%. Masih ada peluang untuk meningkatkan efisiensi teknis. Pendidikan dan penerapan PTT berpengaruh positif terhadap efisiensi teknis. Kemampuan petani dalam menerapkan PTT dapat ditingkatkan melalui program penyuluhan dan pelatihan.

scholarly journals From Exploratory Tunnel to Base Tunnel: Hard Rock TBM Performance Prediction by Means of a Stochastic Approach

2020 ◽  
Vol 53 (12) ◽  
pp. 5473-5487 ◽  
Author(s):  
Andrea Rispoli ◽  
Anna Maria Ferrero ◽  
Marilena Cardu
Keyword(s):  
Performance Prediction ◽  
Early Stage ◽  
Tunnel Boring Machine ◽  
Stochastic Approach ◽  
Critical Issue ◽  
Utilization Factor ◽  
Tbm Performance ◽  
Factors Affecting ◽  
Tunnel Section ◽  
Input Variables

AbstractTunnel boring machine (TBM) performance prediction is often a critical issue in the early stage of a tunnelling project, mainly due to the unpredictable nature of some important factors affecting the machine performance. In this regard, deterministic approaches are normally employed, providing results in terms of average values expected for the TBM performance. Stochastic approaches would offer improvement over deterministic methods, taking into account the parameter variability; however, their use is limited, since the level of information required is often not available. In this study, the data provided by the excavation of the Maddalena exploratory tunnel were used to predict the net and overall TBM performance for a 2.96 km section of the Mont Cenis base tunnel by using a stochastic approach. The preliminary design of the TBM cutterhead was carried out. A prediction model based on field penetration index, machine operating level and utilization factor was adopted. The variability of the parameters involved was analysed. A procedure to take into account the correlation between the input variables was described. The probability of occurrence of the outcomes was evaluated, and the total excavation time expected for the tunnel section analysed was calculated.

scholarly journals Technical efficiency among agricultural households and determinants of food security in East Java, Indonesia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rachman Hakim ◽  
Tri Haryanto ◽  
Dyah Wulan Sari
Keyword(s):  
Food Security ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Rice Farming ◽  
Logit Regression ◽  
Agricultural Households ◽  
And Gender ◽  
Using Data ◽  
Land Size ◽  
Average Consumption

AbstractRice is a staple food in East Java, and the average consumption is 100 kg/capita/year. However, rice productivity has declined dramatically in recent years. Food security can be reached by improving the technical efficiency of rice farming, especially in rice farming centers such as East Java Province. This study aims to measure technical efficiency and its determinants using two limit tobit. And it also aims to examine the effect of the technical efficiency of rice farming on food security using logit regression. Technical efficiency will be measured by using data envelopment analysis (DEA). The results show that the technical efficiency of rice farming is very low in East Java. Government assistance, irrigation, and extension have a significant effect on technical efficiency. Meanwhile, membership of farmer organization has no effect on technical efficiency. Around 69% of farmers can be categorized as food secure households. The estimation of logit regression shows that household size, income, land size, education, age, and gender significantly influence food security in East Java. Meanwhile, credit and technical efficiency did not have any significant effect.

scholarly journals Evaluating the Observed Log-Likelihood Function in Two-Level Structural Equation Modeling with Missing Data: From Formulas to R Code

Psych ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 197-232
Author(s):  
Yves Rosseel
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Likelihood Function ◽  
Likelihood Estimation ◽  
Missing At Random ◽  
Equation Modeling ◽  
Computationally Efficient ◽  
Log Likelihood ◽  
Efficient Expression ◽  
Special Case

This paper discusses maximum likelihood estimation for two-level structural equation models when data are missing at random at both levels. Building on existing literature, a computationally efficient expression is derived to evaluate the observed log-likelihood. Unlike previous work, the expression is valid for the special case where the model implied variance–covariance matrix at the between level is singular. Next, the log-likelihood function is translated to R code. A sequence of R scripts is presented, starting from a naive implementation and ending at the final implementation as found in the lavaan package. Along the way, various computational tips and tricks are given.

scholarly journals ANALISIS MANFAAT EKONOMI DAN FAKTOR-FAKTOR YANG MEMPENGARUHI KELANCARAN PENGEMBALIAN KREDIT (STUDI KASUS PADA KOPERASI PERTANIAN SEANDANAN KABUPATEN PESAWARAN)

2021 ◽  
Vol 9 (3) ◽  
pp. 462
Author(s):  
Roni Mustofa ◽  
Dyah Aring Hepiana Lestari ◽  
Muhammad Irfan Affandi
Keyword(s):  
Economic Benefits ◽  
Agricultural Cooperatives ◽  
Rice Farming ◽  
Case Study Method ◽  
Factors Affecting ◽  
Agricultural Cooperative ◽  
Rice Farmers ◽  
Quantitative Analyses ◽  
One Year

This study aims to analyze the economic benefits, income of rice farming, allocation of credit usage and analyze the factors affecting the chances of the smoothness rate of return at Seandanan Agricultural Cooperatives. The research is conducted at Seandanan Agricultural Cooperative in Pesawaran Regency, Lampung Province, which is determined intentionally.  The research data were taken in July 2019.  This study uses a case study method.  Respondents in this study are 70 rice farmers member of Seandanan Agricultural Cooperative. The data analysis method use descriptive qualitative and quantitative analyses. The results showed that the economic benefits received by members of cooperative in one year is IDR1,711,312.47 and in high category. The average income of rice farming received by members of the Seandanan Agricultural Cooperative in one year has been classified as high, in the amount over cash costs and over total costs, respectively, of IDR17,308,552.78 and IDR16,416,268.56.  Allocation of credit of cooperative membersconsistd of 58.85% for productive activities and the rest, 41.15% for consumptive activities.  Factors that affect the chances of the smoothness rate of credit return by rice farmers members of Seandanan Agricultural Cooperative are the education level of farmers and the allocation of productive credit usage.Key words: agricultural cooperatives, consumptive, credit, and productive

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 Technical Efficiency and Small Scale Maize Producers in Mwanza Region: A Stochastic Frontier Analysis

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Mukole Kongolo
Keyword(s):  
Technical Efficiency ◽  
Best Practice ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Estimation Procedure ◽  
Farm Size ◽  
Small Scale ◽  
Maize Production ◽  
Frontier Analysis

This study measured technical efficiency and its determinants in maize production by small-scale producers in Mwanza region, using a stochastic frontier production function approach. A randomly selected sample of participants in the two districts was used. The Maximum Likelihood estimation procedure was followed to obtain the determinants of technical efficiency and technical efficiency levels of small-scale maize producers. The minimum and maximum values of technical efficiency were between 20% and 91%, indicating that the least practices of specific producer operates at a minimum level of 20%, while the best practice producers  operate  at 91% technical efficiency  level respectively. The summary results of the mean technical efficiency was 63%. The main determinants of technical efficiency were labour, farm size, producer’s experience, producer’s age, family size which were all positive and statistically significant. The findings suggest that the average efficiency of small-scale maize producers could be improved by 37% through better use of existing resources and technology. These findings highlight the need for action by government to assist small-scale maize producers improve efficiency.

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