Analysis Of Allocative Efficiency Research Articles

Farming Technology and Allocative Efficiency of Rice Production Factors in Kulon Progo Regency

The regency of Kulon Progo, located in the western part of Yogyakarta Special Region, owns the lowest ratio of paddy fields relative to arable land, i.e., 0.27%, compared to other regencies in the region. Effective management of paddy farming technology is crucial to enhance productivity. This research aims to describe the management of rice farming technology and to analyze the allocative efficiency of rice production factors in Kulon Progo. The study employs cross-sectional data collected through observations and surveys using an open-ended questionnaire. The sampling method used is proportional stratified random sampling, with a total of 105 respondents, of which 55 from Panjatan Sub-district and 50 from Sentolo Sub-district. Data analysis methods include quantitative descriptive, multiple linear regression with the Cobb-Douglas production function, and calculation of allocative efficiency index (Ki) tested with the one-sample Wilcoxon test. The findings show that the majority of farmers use superior Ciherang seed varieties, insecticides for pest control, and adopt the rice cultivation method known as "jajar legowo". Moreover, a significant number of farmers have not yet adopted combine harvesters due to landscape unsuitability. Key production factors affecting rice output include land area, seed quantity, fertilizer application, farming experience, hybrid variety adoption, technical irrigation use, and combine harvester utilization. Allocative efficiency analysis reveals non-efficient land allocation, suggesting a need for land-use reduction. Meanwhile, seeds and fertilizers use are inefficient, warranting more allocations of these inputs.

Analysis of Allocative Efficiency in Rice (Oryza sativa L.) Farming in the Batu Alam Industrial Area, Cirebon Regency

This research analyzes the efficiency of farming costs and the factors influencing rice farming costs. The research method used was descriptive quantitative with data collection techniques through surveys and interviews with 176 rice farmer respondents in the natural stone industrial area of Cirebon district. The analysis used is frontier cost analysis using frontier4.1 software using the Maximum Likelihood Estimation (MLE) approach. This research shows that the average cost efficiency or allocative level in the natural stone industrial area is 0.20. The factor that influences the inefficiency of rice farming in natural stone industrial areas is age. Factors directly influencing farming costs are land area, urea, labor, rice selling price, land rental price, and labor wages.

ANALYSIS OF POTATO FARMING PRODUCTION FACTORS

There have been many research results that show that production factors affect agricultural production. However, a thorough analysis of production factors has not been carried out much. In addition, there has been no comprehensive analysis of the efficiency of potato production factors in Indonesia. Therefore, this study was conducted to determine the production factors that significantly affect potato production and the efficiency of the use of production factors. A Cobb-Douglas production function analysis was carried out to determine the influence of production factors on potato production. Furthermore, an allocative efficiency analysis was carried out to determine the efficiency of using production factors. The study results showed that the production factors of land area, seed, urea fertilizer, NPK fertilizer, fungicide, land cultivation labor, and harvest labor positively and significantly affected potato production. This study also found that only the input factor of planting labor had a significant adverse effect on potato production. In the allocative efficiency analysis, it was found that the use of production factors of seed, urea fertilizer, NPK fertilizer, fungicide, land cultivation labor, and harvest labor is inefficient, so these production factors must be increased in their use. On the other hand, the production factor of the land area shows inefficient results, so the land area must be reduced to achieve optimal efficiency.

Analysis of Allocative Efficiency of Watermelon Farming in Kapuas Regency, Central Kalimantan Province

The objective of this research is to analyze the costs, revenues, and profits of watermelon farming, to examine the impact of the use of production factors in watermelon farming, and to evaluate the allocative efficiency level of watermelon farming in Kapuas Regency, Central Kalimantan Province. The population of this research consists of 113 farmers, from which 55 were selected using simple random sampling techniques. The data processing method used to analyze the costs, revenues, and profits of watermelon farming includes using a multiple linear regression model, specifically the Cobb-Douglas function type. Additionally, to analyze the allocative efficiency of production factors used by farmers in watermelon farming, the comparison of a production factor’s Marginal Product Value (MPVx) with the price of the production factor (Px) is set to be equal to 1. Based on the results of the research and data processing, the average revenue obtained from watermelon farming in Kapuas Regency is IDR 75,619,181.82 per farm, and the average profit earned by watermelon farmers is IDR 45,541,259 per farm. The statistical test results of the Cobb-Douglas production function show that collectively (simultaneously), the production factors (land area, number of seeds, organic fertilizer, inorganic fertilizer, pesticides, and labor) significantly affect watermelon production. However, the partial test results indicate that the production factors of land area, seeds, organic fertilizer, inorganic fertilizer, and labor significantly affect watermelon production, except for the production factor of pesticides. The statistical test results for allocative efficiency (price efficiency) show that three production factors, namely organic fertilizer, labor, and pesticides, are used efficiently, meaning the marginal product equals the price of the production factor. The use of land area, seeds, and inorganic fertilizer is not yet efficient and needs to be increased to reach an efficient point.

Analysis Of Allocative Efficiency And Factors Affecting The Production Of Inorganic And Semi-Organic Rice Farming

The purpose of this research is to determine the allocative efficiency of the use of production inputs and factors that affect inorganic and semi-organic rice farming in Papar District, Kediri Regency. The methods used in this study are multiple linear regression analysis and allocative efficiency (price) analysis. The results of this study show that the factors that affect the production of inorganic rice fields are land area, chemical fertilizers, and pesticides, among the three factors that affect inorganic rice farming, the use of land area production inputs is not efficient so there needs to increase the land area. While the use of inputs in the production of chemical fertilizers and pesticides is known to be inefficient so there needs to be a reduction in the production input. Meanwhile, the results for factors that affect the production of semi-organic rice fields are land area, seeds, and manure. The use of land area production inputs is not yet efficient so it is necessary to add these inputs, while the use of seed and manure inputs is not efficient so there needs to be a reduction in the production input

ANALYSIS OF PRODUCTION EFFICIENCY IN HYBRID CORN SEED FARMING IN RANDUBLATUNG DISTRICT BLORA REGENCY

Efficiency is important to know to see the success of a farming business. Farming activities in producing a product cannot be separated from the use of production factors. Using production factors appropriately and efficiently will provide benefits for farmers, namely maximum productivity. This research aims to analyze the factors that influence hybrid corn seed production, as well as analyzing technical, allocative and economic efficiency. The research location is Randublatung District, Blora Regency, Central Java. The research method used was a case study of seed breeder farmers in Randublatung District using saturated sampling with a total sample of 53 farmers. The analytical method used is quantitative descriptive analysis which includes influence analysis, technical, allocative and economic efficiency analysis using Stochastic Frontier. The results of the research show that there is a simultaneous influence between land variables, seeds, urea fertilizer, phonska fertilizer, pesticides and labor on hybrid corn production results. The variables of land area, seeds and urea fertilizer partially have a significant effect on production results, while the variables of phonska fertilizer, pesticides and labor partially have no effect on production results. The technical efficiency results of hybrid corn farming in Randublatung District are quite technically efficient with an average technical efficiency value of 0.878. The results of the analysis of allocative and economic efficiency show that it is not yet efficient with average values of 0.337 and 0.293 respectively. Opportunities to increase the efficiency of hybrid corn seed farming in Randublatung District include farmers better allocating inputs according to their needs so that input costs are not large, providing more intensive counseling and assistance to farmers regarding hybrid corn seed cultivation techniques, especially in the use of inputs so that they are more proportional in accordance with recommendations from relevant agencies.

Evaluasi Efisiensi dan Profitabilitas Asuransi Syariah Melalui Analisis Laporan Keuangan

In the literature study related to evaluating the efficiency and profitability of Islamic insurance through financial statement analysis, previous studies highlighted various methods and approaches used to measure the performance of Islamic insurance companies. Financial statement analysis is the main focus in identifying factors that affect the operational efficiency and profitability of Islamic insurance companies. Some studies have used traditional financial ratios such as solvency, liquidity, and profitability ratios to evaluate the performance of Islamic insurance. However, due to the unique characteristics of Islamic insurance, studies have also proposed the development of specific metrics that take into account sharia principles, such as sharia compliance ratios and fairness ratios. In addition, non-financial approaches such as technical efficiency and allocative efficiency analysis have also been used to evaluate the operational efficiency of Islamic insurance. This research shows that factors such as scale of operations, business diversification, and managerial efficiency can contribute to the efficiency performance and profitability of Islamic insurance companies. Although there have been many studies conducted in this domain, there is still a need for more in-depth follow-up research to better understand the factors that influence the efficiency and profitability of Islamic insurance. With a better understanding of the performance of Islamic insurance companies, regulators and practitioners can develop more effective strategies to improve the stability and growth of this industry.

Economic Efficiency of Banana Production in Uttara Kannada District of Karnataka, India

Aim: Banana cultivation holds significant agricultural importance, contributing substantially to global dietary staples. This study Examines the economic efficiency of banana production in Uttara Kannada district.
 Sampling Design: Employed purposive and multistage sampling, the study focuses on Sirsi and Siddapur taluks, selecting 80 farmers through random sampling.
 Methodology: The research examines resource utilization by employing the Cobb-Douglas production function and evaluate efficiency levels by Data Envelopment Analysis (DEA).
 Results: Allocative efficiency in banana cultivation is apparent through positive MVP/MFC ratios for inputs like suckers (15.89), manure (1.91), fertilizers (7.21), machine labor (1.75), and propping material (6.66), indicating underutilization. Conversely, plant protection chemicals (-22.35) and human labor (-1.20) show negative ratios, signifying overutilization. The ratio of MVP to MFC was differed from unity indicating scope for reallocation of expenditure among various resources. Using Data Envelopment Analysis, individual farm technical and economic efficiency was assessed. Banana, Crop I had a mean technical efficiency of 70.30, while Crop II had 49.40. The results highlight room for improvement, especially in Crop II, emphasizing the need for better resource allocation. Major production constraints include labour scarcity, poor planting material, and pest issues. Marketing hurdles encompass price fluctuations, limited storage, and distant markets.
 Conclusion: The study emphasizes the banana cultivation revealed significant impacts of resource utilization on yield, with suckers, fertilizers, and plant protection chemicals showing substantial effects. Allocative efficiency analysis indicated underutilization of resources, suggesting potential for yield improvement. However, farmers face challenges including labour scarcity, quality planting material, price fluctuations, and inadequate storage facilities in production and marketing.

Farmer’s Income and Allocative Efficiency Analysis in Rice Production in Koto Tangah Subdistrict Padang City

The low productivity of lowland rice (Oryza sativa L.) in Koto Tangah District is affecting farmers’ income. The objectives of this research were to analyze : (i) income from lowland rice cultivation, (ii) factors that influence rice production, and (iii) the efficiency of utilization of lowland rice production factors in Koto Tangah District. The method used in this research was quantitative, using probability sampling techniques with proportional random sampling method and 44 respondents were involved. The data analysis techniques used were income analysis, Cobb-Douglas production function, T-test (partial), F-test (simultaneous), coefficient of determination, and efficiency analysis. Based on the survey results, it was known that the total income from lowland rice cultivation in Koto Tangah District was IDR2,607,860.36/average land area/ MT, and lowland rice cultivation was possible with an R/C value of 1.21. The factors that influenced lowland rice production in Koto Tangah District were land area, seeds, and chemical fertilizers, which significantly affected production levels. In contrast, pesticides, labor within the family, and labor outside the family do not significantly affected lowland rice production in Koto Tangah District. Although production factors such as land area, seeds, fertilizers, pesticides, and family labor (TKDK) were still inefficient, non-family labor (TKLK) had almost reached an efficient level.

A Stochastic Frontier Analysis of Maize Production Efficiency and Its Climate-Smart Agricultural Practice Determinants in Southeast, Nigeria

Efficient maize production and resource allocation are crucial for agricultural sustainability, particularly in climate-vulnerable areas like Southeast Nigeria. This study employs stochastic frontier analysis (SFA) to investigate the efficiency of maize production and the determinants of allocative efficiency under climate-smart agricultural practices (CSAPs). The study includes 375 maize farmers selected randomly for the research sample. The analysis begins with estimating the efficiency parameter of maize production, revealing a relatively low Sigma-square value (0.029) and a moderate Gamma value (0.786). The study found a positive association between various inputs such as landholding, seed quality, and organic manure application. The mean TE and AE are 0.894 and 0.747 respectively. Allocative efficiency analysis reveals that while water management practices significantly affect technical efficiency positively, they unexpectedly lead to lower AE. Access to information and adoption of early planting positively influence allocative efficiency. Further examination of socioeconomic determinants indicates the role of extension services (3.07)*** in enhancing AE, while cooperative membership negatively impacts it, possibly due to information asymmetry. These findings emphasize the need for tailored interventions to optimize resource allocation strategies and enhance agricultural productivity and sustainability in Southeast Nigeria, particularly amidst the challenges posed by climate change. Comprehending the complex dynamics of resource allocation and efficiency in agriculture is crucial for crafting efficient policies and interventions aimed at improving productivity and resilience amidst changing climate conditions.

Efisiensi Alokatif Budidaya Karet di Kecamatan Sungai Ambawang Kabupaten Kuburaya

This study aims to analyze the factors that influence rubber production and to analyze the efficiency of the price of rubber production. The variables examined in this study include the efficiency of the use of rubber production factors, the Cobb-Dounglas production function is unsed, Classic Assumption Test, Statistical Test and Allocative Efficiency. The test results on the production factors show that the variable area of land.Labor, fungicide had a significant effect on production. NPK fertilizer and length of farming had no significant effect on rubber production. The results of the allocative efficiency analysis showed that the use of land area, labor and fungicides was inefficient in rubber cultivation in Ambawang district, Kubu Raya Regency.

Allocative Efficiency Analysis of Katokkon Chili Production in Tana Toraja and North Toraja Districts

This study aims to measure the allocative efficiency of inputs or production factors in katokkon chili farming with climate-friendly organic farming. This research was conducted in five villages spread across two districts, Tana Toraja and North Toraja, South Sulawesi. This study involved 100 respondents from each village with a census sampling method. The methods used in this study are Cobb-Douglas Stochastic Frontier and allocative efficiency analysis (AEA). The results showed that of the six variables contained in the Cobb-Douglas equation, Land Area (X1), Labor (X2), Compost (X3), Liquid Organic Fertilizer (X4), Vegetable Pesticides (X5), and Farm Capital (X6), only the allocation of farm capital (X6) did not have a significant effect on the production of katokkon chili (Y) in Tana Toraja and North Toraja. Furthermore, the five variables that had a significant effect on the production of katokkon chili were again tested in allocative efficiency analysis, with results showing that the allocative use of Compost, liquid organic fertilizer, and vegetable pesticides was considered efficient or by the usage procedure with the value of NPM / Px = 1. In comparison, the other variables, land area and labor, were allocative, not optimal NPM / Px >1. Hence, increasing land by an average of 72.69 m2 and a workforce of 39.95 HOK was necessary to achieve allocative efficiency.

On Intra-Group Allocative Efficiency of Resources in Industrial Business Models

The main reason for the creation of industrial firms with complex hierarchies is the transaction and optimization of resources, and the scaling of specific investments. The allocative efficiency of the resource portfolio determines the or-ganizational and economic results of the industrial business models cooperation. The article is devoted to modeling the impact of intra-group allocation of produc-tion assets on the revenue and profitability of sales for group of industrial enter-prises. We also construct scenarios for optimizing its resource portfolio. The me-thodologically study is based on neo-institutional economic theories (contract theory, the agency problem theory) and the macroeconomic analysis. The methods are econometric and scenario modeling. The information base of the study was da-ta on economic activity for eight enterprises from UMK-Steel LTD of the multi-functional holding «Ural Mining and Metallurgical Company». We select a re-gression analysis toolkit that allows for a comprehensive and relevant measure-ment of the impact of various types of resources on the efficiency in the group of industrial enterprises. The results of empirical testing revealed the relationship be-tween the structure of fixed assets, as well as labor resources, and the indicators of revenue and profitability of sales in UMK-Steel LTD. The distribution of material resources between the enterprises of the group has practically no effect on its per-formance indicators. Further, we identify the base scenario for allocation of the resource portfolio. The proposed methodology contributes to the development of approaches to the system analysis of intragroup allocative efficiency in complex hierarchical industrial business models.

Allocative Efficiency of Cocoa Farming in Madiun Regency

The objectives of the study are: (1) to identify factors that affect the production of cocoa farming, (2) to measure the allocative efficiency of cocoa farming, and (3) to estimate the income and profit of cocoa farming in Madiun Regency. The general method used in this research is descriptive analysis. This research was conducted in District Dagangan and District Gemarang, Madiun Regency, from October 2017 to March 2018. The selection of research location and respondents used purposive sampling, with the total of the respondents were 50 farmers. The analysis methods used in this study are a regression analysis to determine the factors affecting the production of cocoa, allocative efficiency analysis, as well as revenue and profit analysis. The result showed that: (1) factors that increase the production of cocoa farming were the total of cocoa trees, the used of fungicide, and farming experience, while factor that decreases the production of cocoa farming is the age of cocoa trees, (2) total of cocoa trees and use of fungicide had not achieved efficiently, and (3) the average of income from cocoa farming is IDR 9,633,555.45/ha/year, and the profit is IDR 1,617,338.24/ha/year.

Efficiency Analysis of Aromatic Ginger Farming (Kaempferia galangal L.) in Kudus Regency, Indonesia

Farm efficiency were influenced by the use of inputs as well as production factors to manage a farm. The study aimed were to analyze technical, allocative, and economic efficiency of Aromatic Ginger Farming (Kaempferia galangal L.) in Kudus Regency. Survey was used in this research. The research location was chosen purposively, based on biggest production in Kudus Regency, namely Dawe District and Jekulo District. Determination of respondents was using quota sampling, with 180 respondents. Data was analysed using analysis of technical, allocative, and economic efficiency. The results illustrate that Aromatic Ginger farming was technically efficient with an average technical efficiency value of 0.9962. The production elasticity value of 0.979 means that the production scale was in a reasonable condition.

Efisiensi Alokatif Usahatani Jagung Pipil Di Desa Bange Kecamatan Sanggau Ledo Kabupaten Bengkayang

<p><em>This study aims to analyze the allocative efficiency of shelled corn farming in Bange Village, Sanggau Ledo District, Bengkayang Regency. Location selection is done intentionally. Data collection was obtained from the results of direct interviws with farmers with the help of a list of questions in the form a questionnaire. The analytical method used is the analysis of Cobb-Dauglas production function and allocative efficiency analysis. The results showed that the variables in the form of land area, seeds, labor, manure, urea fertilizer, NPK fertilizer, and gramaxone had an effect on the production of shelled corn. The level of allocative efficiency on the variables of land area, seeds, labor, manure, urea fertilizer, NPK fertilizer, and gramaxone have not been efficient.</em><em></em></p>

ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI DAN EFISIENSI ALOKATIF CABAI RAWIT MERAH DI KECAMATAN BANYUPUTIH KABUPATEN SITUBONDO

The aims of this study were (1) to analyze the factors that influence cayenne pepper production and (2) allocative efficiency of cayenne pepper production in Banyuputih District, Situbondo Regency. The research was conducted on farmers who are members of the prima donna farmer group with a population of 88 farmers. The sample used was 44 respondents who were determined by the Stratified Random Sampling technique with the area of land used by farmers. Data collected through observation, interviews and questionnaires were analyzed using the coob douglas production function and allocative efficiency analysis. Factors that influence the production of red bird's eye chilies are partially influenced by variables of land area, urea fertilizer, Phonska fertilizer, Za fertilizer and labor. While simultaneously all variables have a significant effect on the production of red bird's eye chilies. The use of production factors for seeds, phonska fertilizer, pesticides and labor is not efficient, while for land area, urea and Za fertilizers are not efficient

Analysis of Production Function and Allocative Efficiency of Seed Water Spinach in Sumurcinde Village Soko District Tuban Regency

Farmers employ several production variables that affect the quantity of Seed Water Spinach in the cultivation of Seed Water Spinach. This study aims to determine the production factors that affect Seed Water Spinach farming and the level of allocative efficiency of Seed Water Spinach production inputs in Sumurcinde Village, Soko District, Tuban Regency. Sixty-seven farmers were included in the study's sample size, and primary and secondary data were utilised. The variables used include seeds (X1), phonska fertiliser (X2), urea fertiliser (X3), power grow fertiliser (X4), pesticides (X5) and labour (X6). The analysis method used is Coubdoglas function analysis to see which factors affect the production of Seed Water Spinach. Meanwhile, the efficiency of production inputs will be analysed using allocative efficiency analysis. The results were partially Powergrow (X4) significantly affected Seed Water Spinach production. In contrast, Seed (X1), Phoska fertiliser (X2), urea fertiliser (X3), Pesticide (X5) and Labor (X6) did not have a significant effect on seed Seed Water Spinach production. According to the allocative efficiency analysis, using power-grow fertiliser has not been practical, so more power-grow fertiliser must be used to maximise Seed Water Spinach's output.

Analysis of allocative efficiency on grape farming (Vitis vinifera) in Alue Sijuek, Peudada district, Bireuen regency

The purpose of this study was to determine the efficiency of grape farming allocation and how the relationship between production costs and income of grape farmers in Alue Sijuek Village, Peudada District, Bireuen Regency from January to June 2022. Responden were carried out by census. The survey was conducted by direct observation and interviews with 36 respondents of grape farmers. The results showed that the income of grape farmers in Alue Sijuek Village, Peudada District, Bireuen Regency was IDR 2.177.765.666,67 in year-1 with an average of IDR 60.493.490,74 in year-1 and allocative efficiency of 36 respondents achieved efficient income for costs of fertilizers, pesticides, depreciation of equipment and labor. The results of the analysis show the correlation coefficient value of 0.935, this indicates that there is a significant relationship between production costs and wine farmers' income. While the coefficient of determination shows a number of 0.875, which means that the production cost consisting of fertilizer, pesticide, labor and equipment depreciation affects farm income by 87.5% and the rest is influenced by other variables.

Analysis of the Efficiency of the Use of Potato Farming Production Inputs in Ngaduman, Getasan District, Semarang Regency

The right allocation of production inputs will provide benefits for farmers. Farmers cultivate potato with different allocation of production inputs. The wrong understanding of the assumption that the more production inputs allocated, the higher the productivity of the crops cultivated, is the cause of the higher production costs incurred by farmers, causing inefficiency. The purpose of this study was to analyze the effect of the use of production inputs and the allocative efficiency of seeds, fertilizers Phonska, fertilizers Za, pesticides, and labor on the productivity level of potatos farming. The research was conducted through interviews with 30 potato farmers as respondents who were selected through purposive sampling technique. The data were analyzed using the Cobb-Douglas production function model and allocative efficiency analysis. The results showed that land area and labor had a significant positive effect on potatos productivity, while seeds, fertilizers, and pesticides had no significant effect on potatos productivity. In potato farming in Ngaduman, seeds and labor production inputs are not allocatively efficient, while production inputs for fertilizers Phonska , fertiluzers Za and pesticide are allocatively inefficient.