scholarly journals Business results change under effects of farm size and degree of production specialization

2003 ◽  
Vol 48 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Ljubomir Bastajic
Keyword(s):  
Regression Analysis ◽  
Comparative Analysis ◽  
Correlation Analysis ◽  
Production Function ◽  
Function Analysis ◽  
Economic Effects ◽  
Farm Size ◽  
Business Results ◽  
Cultivable Land ◽  
Business Conditions

The study was conducted with the objective of analyzing the economic effects provoked by the change in farm size, depending on the degree of production specialization (questionnaires encompassing 30 farms of different size were used) using comparative analysis, regression analysis, correlation analysis and production function analysis. Research comprised essential parameters of business conditions on the farms and results of their business. The farms analyzed were classified according to the size of used cultivable land and degree of production specialization. In both farm groups, with different degrees of production specialization, the indices of business results were found to rise with size increase and were noticed to be the most favorable in the case of over 10 ha-farms. Comparing farms of identical size but of different degree of specialization, the following may be concluded: more favorable business results were achieved on farms with higher degree of specialization.

Significance of Experience, Farm Size, Quantity of Propagules and Location f or Seaweed Farmers in the Divided Island of Sebatik

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Production Function ◽  
Weather Conditions ◽  
Education Level ◽  
Farm Size ◽  
Total Production ◽  
Explanatory Factors ◽  
Douglas Production Function

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.

scholarly journals III Health and agricultural production: Evidence from Kogi State of Nigeria

2014 ◽  
Vol 14 (61) ◽  
pp. 8488-8503
Author(s):  
U Onuche ◽  
◽  
HI Opaluwa ◽  
MH Edoka
Keyword(s):  
Production Function ◽  
Rural Areas ◽  
Agricultural Production ◽  
Formal Education ◽  
Function Analysis ◽  
Farm Size ◽  
Development Effort ◽  
Farm Work ◽  
Household Heads ◽  
The Impact

This study was carried out to analyse the impact of ill health on agricultural outputs in rural areas of Kogi state, central Nigeria. The motivation derives from the fact that rural areas which are strategically important for national food security are more prone to health hazards as a result of the poor nature of health services arising partly from neglect by government. The objectives were to present the socioeconomic characteristics of the rural farm households and identify the prevailing health and agricultural production nexus in the area. The use of multistage random sampling procedure was employed in the selection of 263 rural households for questionnaire administration in order to elicit relevant data related to their farming enterprises and health. The use of descriptive statistics and production function analysis were employed. The study revealed that the average age of the household heads was 46.4 years while the average household size was 6.5 persons. Also, the average farm size was 1.43 ha and the average number of years of formal education was found to be 7.4. Furthermore, the study revealed that the most prominent disease conditions affecting farm families were malaria fever, typhoid fever and diarrhea and these led to an average of 8.2 days reduction in time available for farm work in a farming season. Result from the production function analysis revealed that the elasticities of farm size (0.419), family size (0.099), number of contacts with extension staff (0.018), labour (0.012) and naira amount of credit accessed (0.25) were positively signed and significant at 1%, 10%, 1%, 5% and 1% respectively; while number of days of farm work lost to ill health was negatively signed (-0.09) and significant at 5%. Findings suggest that focusing on number of days of farming activities lost to ill health in a household might help elicit a clearer picture of the effect of transient ill health on agricultural production. More research and development effort in the provision of and accessibility to health care in the rural areas in order to reduce the incidence of diseases are recommended. Such efforts should also include the provision of adequate health and environmental education for the rural population as the most common ailments discovered in the study area are actually hygiene and environment related.

Farm Tractorization, Fertilizer Use and Productivity of Mexican Wheat in Pakistan

1981 ◽  
Vol 20 (3) ◽  
pp. 323-345 ◽  
Author(s):  
Abdul Salam
Keyword(s):  
Comparative Analysis ◽  
Survey Data ◽  
Production Function ◽  
Significant Contribution ◽  
Function Analysis ◽  
Wheat Crop ◽  
Chemical Fertilizers ◽  
Yield Data ◽  
Fertilizer Use ◽  
The Impact

Using survey data the impact of tractorization on wheat productivity is examined in this paper. A comparative analysis of yield data indicates that wheat yields on tractor farms are significantly higher than those on bullock farms. It is also found that tractor farms use higher amounts of chemical fertilizers on their wheat crop. The results of production function analysis also confirm the significant contribution of tractorization in achieving higher wheat yields.

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Research Hospital ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

Analysis of variations in and correlations between selected physical parameters of common beech (Fagus silvatica L.) nuts

2017 ◽  
Vol 1 (21) ◽  
pp. 49-63
Author(s):  
Zdzisław Kaliniewicz ◽  
Piotr Markowski ◽  
Andrzej Anders ◽  
Paweł Tylek ◽  
Zbigniew Krzysiak ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Cross Sections ◽  
Linear Regression Analysis ◽  
Physical Parameters ◽  
Common Beech ◽  
Mesh Screen ◽  
Before And After ◽  
Fagus Silvatica ◽  
Highly Correlated

The basic dimensions and the mass of common beech nuts and seeds from five nut batches, harvested from tree stands in northern Poland, were determined. Environmental conditions had a greater influence on seed plumpness than the age of tree stands. The results of measurements were analyzed statistically by analysis of variance, correlation analysis and linear regression analysis. Despite differences in their plumpness, nuts were characterized by nearly identical cross-sections which resembled an equilateral triangle. The thickness of nuts and seeds was highly correlated with their mass, and this information can facilitate seed husking and separation into mass categories. Before and after husking, seeds should be separated with the use of a mesh screen with longitudinal openings. Medium-sized (most numerous) seeds were separated into the following plumpness categories using a screen separator with ≠6 mm and ≠7 mm openings: 84% of moderately plump seeds, 3% of seeds with reduced plumpness, and 13% of plump seeds.

scholarly journals Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models

2021 ◽  
Vol 13 (10) ◽  
pp. 5708
Author(s):  
Bo-Ram Park ◽  
Ye-Seul Eom ◽  
Dong-Hee Choi ◽  
Dong-Hwa Kang
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Field Test ◽  
Outer Surface ◽  
Regression Models ◽  
Field Tests ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Building Characteristics ◽  
Pm2.5 Concentration

The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in highly leaky units could be up to 1.59 times higher than that in airtight units.

A modified production function analysis of changing southern forest productivity

1991 ◽  
Vol 21 (8) ◽  
pp. 1278-1287 ◽  
Author(s):  
David H. Newman
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Public Lands ◽  
Forest Productivity ◽  
Southern States ◽  
The Past ◽  
Lower Productivity ◽  
Aggregate Production Function ◽  
The Impact ◽  
Productivity Gains

The analysis in this paper measures changes in forest productivity for 12 southern states using a modified, aggregate production function. The function combines cross section – time series, biological, and acreage data to estimate the shift in productivity, measured as either standing inventory plus removals or changes in inventory plus removals, over the past 4 decades. The annual shift in productivity is estimated to be approximately 0.5% for the standing volume measures used. However, productivity gains in the region have virtually stopped during the past decade. The largest contributions to productivity gains were from industrially owned lands and land managed as planted pine. Mixed pine–hardwood stands and public lands (except for plantations) showed lower productivity impacts. These results present an essential component for understanding the impact of technical change on aggregate forest productivity in the southern United States.

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