Distribution Analysis and Agricultural Productivity Determinants in Indonesia (original) (raw)

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

Jurnal Teknosains, 2019

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.

Technical Efficiency on Indonesian Maize Production: Frontier Stochastic Analysis (Sfa) and Data Envelopment Analysis (Dea) Approach

Russian Journal of Agricultural and Socio-Economic Sciences, 2016

In order to achieve maize self-sufficiency in Indonesia, efficiency ought to be increased. Therefore, this study is aimed to assess technical efficiency of wide range of farmers. It is done in order to formulate a policy to increase the productivity of maize. The study was conducted in regions that produce maize. Sample farmers were determined to be nonproportionate stratified random sampling by land class strata, namely wetland and dry land. Analysis methods utilized in this research are Data Envelopment Analysis (DEA) and Analysis Frontier Stochastic (SFA). As for assessment of factors affecting technical efficiency analysis, Tobit regression models is utilized. The results of this research exhibits that the technical efficiency (TE) utilizing SFA approach gained an average of 0.78. On the other hand, the DEA approach obtained an average of 0.9. SFA approach exhibits lower TE value and evenly distributed among farmers compared to DEA approach, where no value is less than 0.6. Factors affecting TE are education, land ownership, extension frequency, and demonstration plot. Based on DEA approach also obtained the fact that most farmers are on the conditions of increasing returns to scale.

Technical Efficiency of Rice Farm Production in Aceh Province, Indonesia

2018

The purpose of the present paper is to examine the efficiency of Indonesian rice production conducted in Aceh Province, by using agricultural census data 2013 with a sample of 1,029 characteristics of farm households. The analysis model used is stochastic frontier analysis (SFA)) approach and the estimation result obtained that rice production factors such as wages of farm workers, harvested area, fertilizer, and seeds have not been technically efficient. Furthermore, the economical scale of rice production in Aceh Province is decreasing return to scale that coherent with the results of the efficiency test. Keywords: efficiency, farmer household, stochastic frontier analysis, economic scale.

Robust Stochastic Production Frontier to Estimate Technical Efficiency of Rice Farming in Sulawesi Selatan

BAREKENG: Jurnal Ilmu Matematika dan Terapan

The stochastic production frontier (SPF) is the stochastic frontier analysis (SFA) method used to estimate the production frontier by accounting for the existence of inefficiency. The standard SPF assumes that the noise component follows a Normal distribution and the inefficiency component follows a half-Normal distribution. The presence of outliers in the data will affect the inaccuracy in estimating the parameters and leads to an exaggerated spread of efficiency predictions. This study uses two alternative models, the first with SPF Normal-Gamma and the second with SPF Student's t-half Normal, then the results are compared with standard SPF. This study uses data from statistics Indonesia on the cost structure of paddy cultivation household survey in 2014. This study aims to examine the effect of changes in distribution assumptions on the standard SPF model in estimating parameter value and the technical efficiency score in the presence of outliers. The parameter coefficient es...

Technical Efficiency of Rice Farmers using a Stochastic Frontier Analysis -A Case Study of Cameroon North-West Region

Agriculture is the mainstay of Cameroon economy as it serves the purpose of employment, food, and livelihood. However, Cameroon agriculture is plague by low productivity, inefficiency in production and dependent on imports. For this reason, this study examined the technical efficiency of rice farmers in Cameroon NorthWest region. Data were collected from 144 farmers using structured questionnaires and interview schedule. The Data was analyzed using descriptive statistics and a stochastic frontier analysis. The result from the stochastic frontier analysis shows that the variance parameters (sigma square and gamma) were statistically significant. The coefficient of farm size, fertilizers, labor and herbicides were positive and significant. The mean technical efficiency level was 84 percent implying that rice farmers' technical efficiency could be increased by 16 percent if the available resources are efficiently utilized. The inefficiency model shows that credit access is the significant factor that is negatively related to technical inefficiency. This finding is in line with government efforts (SEMRY, UNVDA, CARFIC, and The Second Generation Agriculture) of providing credits to farmers to improve their productivity.

Analysis of Agricultural Food Crop Productivity Planning District-District in East Java Province of Indonesia with A Non-Parametric Approach

Media Trend, 2019

The importance of food crop agriculture efficiency could be used today. Because we know that more inefficiencies in the agricultural sector of food crops illustrate that productivity has not run maximally. DEA is used in this study as an appropriate approach by using a non-parametric method. The production unit is in the form of a decision making unit (DMU) in which the DMU in this study is a food crop agricultural sub-sector in 29 districts in East Java. There occurred inefficiency of as many as 44.8 percent (29 districts) in East Java in 2017 for having the average efficiency score of less than 0.69, while the rest achieved the average technical efficiency of more than 0.31.

Characteristics of Farmers and Technical Efficiency in Cocoa Farming at Sigi Regency -Indonesia with Approach Stochastic Frontier Production Function

This research used cross section data to analyze the factors that affected the production and technical efficiency in the cocoa farming. The Sampling was done by simple random and the size of samples were 98 cocoa farmers. Analysis of the stochastic frontier production function with Cobb-Douglas models were used to answer the research objectives. The results showed fertilizer, pesticide and labor significant effect on cocoa production. Farmer characteristics such as education, farming experience, and frequency of follow counseling could help to increase the technical efficiency so that the cocoa production could be increased.

Economic Efficiency of Rice Farming: A Stochastic Frontier Analysis Approach

2020

The future of agriculture is dependent on an increase in the use of resources at disposal, it is therefore imperative that strategies to increase agricultural growth should be directed towards increasing efficiency of smallholder farming operations and resource utilization. This study examined the economic efficiency of rice production. A multistage sampling procedure was used to select 240 rice farmers and data were obtained with the use of a structured questionnaire. Data collected were analyzed with descriptive techniques, stochastic frontier analysis (SFA) and the Tobit regression model. The SFA result revealed that input variables such as seed, herbicide and pesticide were positive and had a significant effect on rice output. Rice farmers were able to maximize their output by 74% at the lowest minimum cost possible. Furthermore, economic efficiency was positively influenced by age, level of education, membership in farmers’ associations, access to the public market and access t...

Decomposition of Factor Productivity Growth of Rice in Iran: Application of Stochastic Frontier Analysis Approaches

Journal of Agricultural Economics and Development, 2024

Rice is a crucial agricultural product, and enhancing its productivity is essential for increasing production. This study aims to analyze the total factor productivity growth of rice production in Iran from 2000 to 2020. Using parametric (stochastic frontier analysis) approaches, the research evaluated the rice productivity growth and its components, including scale and technological changes. Based on the estimated Translog Cost Function, the annual total factor productivity growth was 2.1%, with positive technological change as the primary driver of these improvements. To further enhance productivity, the study recommends utilizing improved seeds, modern machinery, fertilizers, and nutritional solutions during rice cultivation. Additionally, the research suggests the application of parametric approaches in future studies to assess the impact of technological changes on crop yields.