Technical efficiency and factors affecting rice production in tidal lowlands of South Sumatra province Indonesia

Rice has been the staple food for most Indonesians, so the rice consumption in Indonesia is considerably high. Rice is cultivated in many agroecosystems, including tidal lowlands. Some tidal lowlands are considered suitable for rice cultivation. Therefore, tidal lowlands may support food security in Indonesia. However, productivity remains a problem in which inputs are not used efficiently. This study aims to determine the technical efficiency and identify factors affecting rice production in tidal lowlands of South Sumatra, one of main rice barns in Indonesia. A survey was conducted by interviewing 93 farmers in Telang Rejo Village. A data envelopment analysis (DEA) with output-oriented and variable returns to scale (VRS) approach was applied to measure technical efficiency score from each farm observed. An ordinary least square (OLS) regression with a Cobb-Douglass production function approach was employed to analyse the factors affecting rice production in tidal lowlands of South Sumatra, Indonesia. The results showed that majority of rice farms in the tidal lowlands of South Sumatra Indonesia were inefficient. There were 44 rice farms (47.31%) that were efficient, 5 rice farms (5.38%) that were inefficient under increasing returns to scale and 44 rice farms (47.31%) that were inefficient under decreasing returns to scale. The inputs, such as nitrogen, phosphorus, and potassium fertilisers, herbicides, insecticides and fungicides had positive significant influences on rice production in the tidal lowlands of South Sumatra, Indonesia.

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Identifying factors influencing rice production and consumption in Indonesia

Jurnal Ekonomi Pembangunan Kajian Masalah Ekonomi dan Pembangunan ◽

10.23917/jep.v19i2.5939 ◽

2019 ◽

Vol 19 (2) ◽

Cited By ~ 1

Author(s):

Abdul Bashir ◽

Saadah Yuliana

Keyword(s):

Human Capital ◽

Rice Production ◽

Least Square ◽

Agricultural Policies ◽

Least Square Estimator ◽

Factors Affecting ◽

Production And Consumption ◽

Rice Consumption ◽

Rice Prices ◽

The Government

This study analyzes factors affecting rice production and consumption in Indonesia from 1990-2014, the data source is from Central Bureau of Statistics (BPS). The method used is model of multiple linear regression equation with ordinary least square estimator (OLS). Our findings indicate that rice production can be affected by human capital, labor, wages, wetland, urban population, and rice prices; on the other side, technology has no effect on rice production. Other findings on the rice consumption model were influenced by human capital, per capita income, population, and consumption the previous year, and meanwhile, rice prices has no effect to rice consumption in Indonesia. It’s an important note for the government in making the right program policies such as the development of better irrigation systems, empowering the farmers by providing regular training, subsidizing material inputs to farmers, expanding farmland for farmers. Meanwhile, the government needs to create policy such as food diversification, price stabilization security, the increase of rice stock, and other agricultural policies.

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The Factors Affecting Land Prices In Housing Location In Sidoarjo Regency

THE SPIRIT OF SOCIETY JOURNAL ◽

10.29138/scj.v1i1.434 ◽

2017 ◽

Vol 1 (1) ◽

pp. 37-47

Author(s):

Partomi Simangunsong ◽

Arasy Alimudin ◽

Muh. Barid Nizaruddin Wajdi

Keyword(s):

Residential Location ◽

Least Square ◽

City Center ◽

Sale Price ◽

Factors Affecting ◽

Explanatory Variables ◽

Ordinary Least Square ◽

Road Width ◽

Log Linear ◽

Road Distance

The need for residential location is one of the basic needs of the community and the attractiveness of the residential location is a unique feature where this feature is not made by the respective occupants, but by external factors from the residential environment in the area. This study aims to analyze the factors that are considered as the basis that affect the price of land. This research uses quantitative approach with associative research method. Linear analysis with quadratic method. Ordinary Least Square (OLS). From the analysis of this research model obtained log-linear F-accounting 70,162 while the value of F-table (0,05; 5,48) is 2,45. because F-count> F-table, Ho means rejected and explanatory variables include Distance to city center, Distance to main road, Distance to toll gate, Road width, and security simultaneously can be explained significantly at land sale price.

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Measuring the Technical Efficiency of Certified Organic Rice Producing Farms in Yasothon Province: Northeast Thailand

Sustainability ◽

10.3390/su11246974 ◽

2019 ◽

Vol 11 (24) ◽

pp. 6974

Author(s):

Nalun Panpluem ◽

Adnan Mustafa ◽

Xianlei Huang ◽

Shu Wang ◽

Changbin Yin

Keyword(s):

Technical Efficiency ◽

Management Practices ◽

Returns To Scale ◽

Water Source ◽

Rice Production ◽

Farm Size ◽

Significance Level ◽

Organic Rice ◽

Certified Organic ◽

Constant Returns To Scale

Rice production holds a significant position in the Thai economy. Although it is the world’s largest rice exporter, Thailand’s increase in rice production is the result of an expansion in the cultivation area rather than an increase in yield per unit area. The present study was designed to estimate the technical efficiency and its governing factors for certified organic rice-growing farms in Yasothon Province, Thailand. A data envelopment model was employed to assess the technical efficiency of 328 farmer groups. The data revealed that the average technical efficiency was 23% and 28% under constant returns to scale (CRS) and variable returns to scale (VRS) specifications, respectively. Farmers can reduce the use of machinery, fertilizer, seed, and labor as input factors by about 80.1%, 25.62%, 24.72%, and 19.15%, respectively, while still achieving the same level of output. Multiple regression analysis was applied to estimate factors that affect the pure technical efficiency score (PTES) in the test regions. Results show that household size, farm size, water source, market accessibility, health symptoms, income, and labor were highly related to the TES and the amount of organic rice production. The regression coefficients of the predictors show that the income was the best predictor of the PTES at a significance level of p < 0.05. It is concluded that the farmers can potentially increase their yields by up to 72%–77% under current management practices.

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Tradeoff between efficiency and perceived quality: evidence from patient-level data

International Journal for Quality in Health Care ◽

10.1093/intqhc/mzaa098 ◽

2020 ◽

Vol 32 (9) ◽

pp. 591-598

Author(s):

Saima Bashir ◽

Muhammad Nasir

Keyword(s):

Technical Efficiency ◽

Efficiency Score ◽

Least Square ◽

Satisfaction Level ◽

Patients Satisfaction ◽

Facility Assessment ◽

Provider Attitude ◽

Level Data ◽

Obstetric Services ◽

The Relationship

Abstract Objectives To estimate technical efficiency scores of District Headquarter Hospitals (DHQHs) for obstetric services and to explore the relationship between the efficiency of DHQHs and the patients’ satisfaction about the quality of services provided. Design, Setting and Participants Data from Health Facility Assessment (HFA) survey is used for efficiency measurement. The data on patient’s perceptions and other control variables are taken from Client Exit Interviews part of the HFA survey. Two-stage residual inclusion, Ordered Logistic Regression and Least square dummy variable techniques are used to investigate the relationship between technical efficiency and patients’ satisfaction level. Main Outcome Measure(s) and Results The average efficiency score for Pakistan’s DHQHs is 0.52, and not a single hospital is fully efficient. Moreover, the relationship between technical efficiency and patients’ satisfaction is found to be negative and statistically significant indicating that an increase in hospital efficiency tends to decrease patients’ satisfaction. The disaggregated analysis reveals that patients’ satisfaction associated with the healthcare provider attitude and communication is more affected by technical efficiency. Conclusion Patients’ satisfaction level is more sensitive to physician’s attitude and communication. This makes sense because the longer the consultation time, the more accurate the diagnosis would be. This, together with a comforting and confident physician, is likely to achieve better patients’ satisfaction.

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The Efficiency of Farmers Group Association on Strengthening The Institutions of Community Food Distribution Program Stage in Yogyakarta Special Region 2014

Ilmu Pertanian (Agricultural Science) ◽

10.22146/ipas.16432 ◽

2017 ◽

Vol 2 (1) ◽

pp. 035

Author(s):

Eny Ivan's ◽

Jangkung Handoyo Mulyo ◽

Dwidjono Hadi Darwanto

Keyword(s):

Secondary Data ◽

Food Distribution ◽

Least Square ◽

Data Envelopment ◽

Factors Affecting ◽

Ordinary Least Square ◽

The Government ◽

Agriculture And Food ◽

Group Association ◽

Special Region

In protecting and empowering the farmers, farmers group, and farmers group association (Gapoktan) from falling prices of grain and rice at harvest time and food accessibility problems, the government through the Ministry of Agriculture and Food Security Agency implemented the Strengthening the Institutions of Community Food Distribution Program (Strengthening-LDPM). This research was aimed to analyse the level of efficiency and to identify factors influencing the efficiency of Gapoktan in implementing the Strengthening-LDPM by involving 40 Gapoktan post-independence. The data used in this research were primary and secondary data, drawn from stockopname reports in 2014. This research used DEA (Data Envelopment Analysis) analysis, assuming that CRS (Constant Return to Scale) and VRS (Variable Return to Scale) using output-oriented assumptions. In addition, factors affecting the efficiency were analysed using multiple regression OLS (Ordinary Least Square). Based on DEA-CRS approach, as much as 37.5% Gapoktan were efficient and 62.5% Gapoktan were inefficient. Whereas with the approach of the DEA-VRS, 50% Gapoktan were efficient and 50% Gapoktan were inefficient. The average age of Gapoktan board, total volume of grain or rice sales, total volume of food reserve, and total loan interest affect significantly in increasing the efficiency of Gapoktan in running the strengthening-LDPM Program.

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TECHNICAL EFFICIENCY ANALYSIS IN INDONESIAN FISHERY PROCESSING INDUSTRY: A CASE OF FISHERY CANNED PRODUCT FIRMS

MIX JURNAL ILMIAH MANAJEMEN ◽

10.22441/mix.2019.v9i1.004 ◽

2019 ◽

Vol 9 (1) ◽

pp. 53

Author(s):

Munawar Asikin ◽

Arief Daryanto ◽

Machfud . ◽

Subagio Dwijosumono

Keyword(s):

Technical Efficiency ◽

Stochastic Frontier Analysis ◽

Stochastic Frontier ◽

Efficiency Analysis ◽

Least Square ◽

Time Varying ◽

Efficient Manner ◽

Processing Industry ◽

Frontier Analysis ◽

Ordinary Least Square

This study aims to analyze technical efficiency and evaluate the effect of some sources of inefficiency in the Indonesian fishery canned firms during the period of 1990-2015. We calculate technical efficiency using the Stochastic Frontier Analysis (SFA) method with Time Varying Decay. The average of technical efficiency in this industry during the period of 1990-2015 was only 57%. It indicates that firms in this industry still encounter a problem in allocating the resources in efficient manner. However, during the period of 1994-2015, the efficiency in the Indonesian fishery canned industry has declined. We also employed the Ordinary Least Square (OLS) method to evaluate the sources of inefficiency. The results showed that eight variables affected to the efficiency in this industry, thereby it will reduce fishery product competitiveness in the future

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Analysis of Factors Affecting the Demand of Chicken Egg’s in the Traditional Market of Medan City

Jurnal Peternakan Integratif ◽

10.32734/jpi.v5i2.2120 ◽

2017 ◽

Vol 5 (2) ◽

Author(s):

Dwi Andini Puspita Sari br Sinaga ◽

Armyn Hakim Daulay ◽

Edhy Mirwandhono ◽

Sayed Umar ◽

Iskandar Sembiring

Keyword(s):

Least Squares Method ◽

Secondary Data ◽

Least Square ◽

Primary Data ◽

Factors Affecting ◽

Ordinary Least Square ◽

On Demand ◽

Chicken Egg ◽

Traditional Market ◽

Chicken Eggs

The development of the society resulting for animal protein needed such as chicken egg’s increased and affect the demand for eggs in Medan. Therefore, it is necessary to do research to know the factors that influence the demand of chicken egg in traditional market of Medan city at consumer level by using Ordinary Least Square (OLS) method or least squares method with SPSS 22.0 tool. This study was conducted from May to June 2017. This study used primary data obtained from observations and interviews of respondents. The location of the research is determined purposively and the respondent determination by accidental method. Primary data was obtained from 90 consumers of chicken eggs and added with secondary data from government agencies. Then it was analyzed by multiple linear analysis with 5 demand variables namely, the number of dependents, education, income, egg price of chicken, and age. The results showed that all variables simultaneously had a significant effect on demand. Partially only variable of dependent which have real effect to demand of chicken egg of race. So it can be concluded that the demand for eggs in Medan is only influenced by the number of dependents

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Analisis Pertumbuhan Ekonomi Daerah Provinsi Jambi

Eksis: Jurnal Ilmiah Ekonomi dan Bisnis ◽

10.33087/eksis.v9i1.130 ◽

2018 ◽

Vol 9 (1) ◽

pp. 22

Author(s):

Nurdin Nurdin

Keyword(s):

Economic Growth ◽

Capital Expenditure ◽

Secondary Data ◽

Regression Equation ◽

Least Square ◽

Analysis Tool ◽

Working Population ◽

Factors Affecting ◽

Ordinary Least Square ◽

Investment Capital

This study uses secondary data collected by the object of research in Jambi Province in the form of factors affecting the economic growth of Jambi Province sourced from the Central Bureau of Statistics (BPS). Data were collected during the period 2004 to 2015. The purpose of this study is to analyze and know what factors affect the economic growth of Jambi Province period 2004-2015. The analytical tool used is this research using econometric analysis tool with Ordinary Least Square (OLS) method with multiple linear regression equation through the aid of SPSS software program. 21:00. Based on the discussion of data analysis results in this study, it can be concluded the result of R-squared calculation shown in the above equation obtained R2 value of 0.989. This shows that about 98.90 percent of the upturned economic growth (Yt) in Jambi Province is influenced by investment variable (X1t), capital expenditure (X2t), working population (X3t), unemployment (X4t) and poverty (X5t). While the remaining 1.10 percent, explained by other variables that are not included into the regression equation. Keywords: Economic Growth, Investment, Capital Expenditure, Working Population, Unemployment And Poverty

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Assessing factors affecting FDI in developing Asian countries

Review of Business and Economics Studies ◽

10.26794/2308-944x-2021-9-2-6-28 ◽

2021 ◽

Vol 9 (2) ◽

pp. 16-28

Author(s):

P. Gupta

Keyword(s):

Random Effect ◽

Least Square ◽

Market Size ◽

Asian Countries ◽

Factors Affecting ◽

Ordinary Least Square ◽

Independent Variables ◽

Fixed Capital Formation ◽

Effect Regression ◽

Independent Variable

The paper focuses on various factors that affect the inflow of Foreign Direct Investment in developing countries. The study majorly deals with Asian countries, namely India, China, Myanmar, Nepal, Pakistan, Bangladesh and Bhutan, that are progressing from being aid-dependent to trading giants. The factors affecting FDI are majorly categorised into dependent and independent variables. Here, in this study, the dependent variable considered is FDI inflow, and independent variables are market size, the value of the currency, export, import, gross fixed capital formation, GDP deflator, cost of borrowing and economic reforms. Pooled Ordinary Least Square (OLS), fixed effect and random effect regression analysis is done to ascertain the best regression model and various tests are performed to check the intensity of effect caused by each independent variable on our dependent variable.

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Efficiency of Micro and Small Enterprises in Ethiopia: Evidence from Data Envelope Analysis Model

10.20944/preprints202110.0180.v1 ◽

2021 ◽

Author(s):

Abebe Birhanu Ayele

Keyword(s):

Technical Efficiency ◽

Service Sector ◽

Returns To Scale ◽

Least Square ◽

Scale Efficiency ◽

Small Enterprises ◽

Analysis Model ◽

Micro And Small Enterprises ◽

The Government ◽

Constant Returns To Scale

This study measures the technical and scale efficiency of Micro and Small Enterprises (MSEs) and input slacks using Data Envelop Analysis (DEA) model and identifies the determinants of efficiencies of MSEs by employing ordinary least square (OLS) econometrics model. A sample of 375 randomly selected MESs are included in the study. The study found that the average technical and scale efficiency of MSEs are relatively low; technical efficiency averaged at 30 percent and 38.4 percent under constant returns to scale (CRS) and variable returns to scale (VRS) assumptions, respectively. Besides, the overall average scale efficiency score of MSEs was estimated at 77.8 percent. The highest mean technical and scale efficiencies were registered in the construction (71.8 percent) and manufacturing (85.7 percent) sectors, respectively. Whereas, the lowest technical and scale efficiency goes to urban agriculture sector and service sector, with 38.9 percent and 67.2 percent, respectively. The level of inputs, enterprise age and sector, human capital, labor productivity variables significantly affect relative technical efficiency level of MSEs with different directions while variables such as start-up capital, gender of the enterprise manager and availability of support from the government identified statistically not significant in determining the MSEs’ technical efficiency.

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