An Economic Analysis of Tomato Production in South Gujarat

2020 ◽  
pp. 161-164
Keyword(s):  
Crop Insurance ◽  
Sampling Technique ◽  
Economic Viability ◽  
Production Economics ◽  
Net Income ◽  
Insurance Scheme ◽  
Tomato Production ◽  
Input Ratio ◽  
Selection Of ◽  
High Output

ABSTRACT The study was conducted in South Gujarat for examining the production economics of tomato in the study area. Multistage random sampling technique was employed for the selection of 120 tomato farmers from Kaparada, Mandvi and Vyara talukas of Valsad, Surat and Tapi district, respectively. The net income of 1.57 lakh/ha showed the economic viability of the crop in the study area with a high output-input ratio of 3.25. It was suggested that the timely supply of credit and crop insurance scheme could further encourage growers for tomato production.

An Economic Analysis of Milk Production and Profitability of Dairy Farms in Haryana

2021 ◽  
pp. 104-111
Keyword(s):  
Milk Production ◽  
Sampling Technique ◽  
Total Sample ◽  
Herd Size ◽  
Production Economics ◽  
Net Returns ◽  
Fresh Milk ◽  
Size Groups ◽  
Large Herd ◽  
Selection Of

The present study was carried out in the Sirsa and Bhiwani districts of Haryana state, purposively selected to work out milk production economics and its disposal pattern. The multistage stratified random sampling technique was used for the selection of the respondents. From Sirsa district 41 small, 36 medium and 23 large farmers were selected whereas from Bhiwani district 45 small, 39 medium and 16 large farmers were selected. Thus, in all 86 small farmers, 75 medium and 39 large farmers constituted the total sample of 200 respondents. Milk yield of crossbred cattle was found to be higher than the buffaloes. Net returns (?/animal/day) in the case of buffaloes and crossbred cow were highest in small, followed by medium and large herd size groups in both selected districts. On an average, 50.62 and 61.50 percent of the total milk produced was sold as fresh milk in Sirsa and Bhiwani district, respectively. Rest of the milk (38.76 percent) was used for family consumption and 10.62 for other purposes (conversion to ghee).

scholarly journals Assessment of the Cost-returns and Profitability Patterns of Tomato Production in Yamaltu-Deba Local Government Area of Gombe State, Nigeria

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
SALEH Abdullahi ◽  
JIBO Mohammed Ibrahim ◽  
AHMAD Muhammad El-hafeez ◽  
BAKO Bulus Danladi ◽  
MUHAMMAD Abbas Muhammad
Keyword(s):  
Local Government ◽  
Large Scale ◽  
Tertiary Education ◽  
Sampling Technique ◽  
Local Government Area ◽  
Farm Size ◽  
Net Income ◽  
Test Analysis ◽  
Tomato Production ◽  
Dry And Rainy Seasons

The study examined profitability of tomato production in Yamaltu-Deba Local Government Area of Gombe State. A three-stage sampling technique was used to select 96 tomato producers. Data were collected using a structured questionnaire and were analysed using descriptive statistics, farm budget model, and t-test analysis. The results revealed that, the mean age of tomato producers was 38.94 years, 92.48% were males, 71.56% were married with the majority (95.44%) had family size ranging from 1 – 6 persons, and had 6.55 mean years of farming experience, having an average of 0.6 ha farm size holding. Furthermore, the result revealed that only 8.74% that have attained tertiary education. The results also revealed average variable costs constituted 88.98% and 88.84% of the average total costs of production in the dry and rainy seasons respectively. The per hectare average net income realised were found to be ₦ 154,444.20 ($ 398.05) and ₦ 39,725.14 ($ 102.38) in the dry and rainy seasons respectively. Hence, the returns per naira invested was ₦ 0.67 ($0.00173) in dry season and ₦ 0.18 ($0.00046) in rainy season (P<0.05). Moreover, the results revealed positive and desirable gross and operating ratios of < 1; implying the tomato farms in the study area maintained profitability levels both in the short and long run. However, inadequate capital was critical; which was attributed to lack of affordable sources of credits. Lack of storage and processing facilities were among the impediments to large scale tomato production in the study area. However, improvement in the existing patterns and as well as the provision of adequate essential factors of production will help expand the present scale of operations. Therefore, governments and other financial institutions should do more to provide soft loans to the farmers to improve efficiency.

scholarly journals AN ANALYSIS OF YIELDS OF KOLA-NUT PRODUCTION, PROCESSING AND MARKETING IN SAGAMU LGA, OGUN STATE, NIGERIA

2017 ◽  
Vol 11 (1) ◽  
pp. 90-105
Author(s):  
E. O. A. OLUWALANA ◽  
L. O. OKOJIE ◽  
F. O ASHAOLU ◽  
V. O. OLANIRAN
Keyword(s):  
Descriptive Analysis ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Gross Margin ◽  
Ogun State ◽  
Unit Increase ◽  
Nut Production ◽  
Selection Of

This study on Kola nut production in Ogun State was aimed at describing the socio-economic characteristics of the farmers, net farm income, marketing channels and factors influencing output of kola nut for its impact on food security. Multistage sampling technique was used in the study; the first stage involves the purposive selection of Sagamu Local Government as largest Kola nut farming with 4 communities; namely; Agbowa; Sagamu; Igodo, and Odelemo. The second stage involves simple random selection of 100 kola nut farmers, 25 per community. A structured questionnaire was administered subject to descriptive analysis, multiple regressions, and budgetary analysis. The results revealed that male 82% and female 18% were involved in kola nut production, processing and marketing. Average household size of 6 members with a minimum of 25 years farming experiences. The study revealed that 51% of the farmers sold directly to wholesalers, 37% sold to processors, and 12% sold to retailers. Also, 83%, of the producers and marketers were married 16% were widowed and only 1% divorced. Average age was 58years and average farm size of 2.71 hectares. Average farm net income was ₦208,680.40 per annum with the total revenue of ₦291,149 and a gross margin of ₦237,789.50 per annum. The average total cost incurred was calculated as ₦82,468.40 being cost of labour, transportation and items such as cutlass, hoes and files. Regression analysis used to determine the factors affecting the output of kola nut showed that farm size, age of kola nut plantation and the age of farmers were significant at 10%, 5% and 1% respectively using double log equation and the model was significant at 1%. The age of farmers (x1) was negatively significant which implies that as farmers reach old age, this may serve as hindrance due to physical inability to undertake vigorous farm activities hence reduction in output occurs by 13.3%. Farming experience (x2) was negatively correlated with output of kolanut indicating that a unit increase in experience of kolanut farmers will decrease output by 12.3%. Farm size was found to positively significant which implies that a unit increase in farm size will increase output by 83.1%.The result revealed that kola nut business is a profitable venture and male dominated. The women could be encouraged to invest in the business to increase their income and livelihood. 

scholarly journals Factors Influencing Economic Viability of Small and Marginal Farms in Rayalaseema Region of Andhra Pradesh, India

2021 ◽  
pp. 48-57
Author(s):  
M. Ramakrishna ◽  
I. Bhavani Devi ◽  
S. Rajeswari ◽  
P. V. Satyagopal ◽  
G. Mohan Naidu
Keyword(s):  
Andhra Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Economic Surplus ◽  
Factors Influencing ◽  
Live Stock ◽  
Multistage Sampling ◽  
Selection Of

This study was conducted to estimate the factors influencing the viability of small and marginal farms in Rayalaseema region of Andhra Pradesh. Multistage sampling technique was employed for selection of samples at different levels (districts, mandals and villages) in the present study. A sample of 120 farmers was selected from two districts, six mandals and six villages. The farmers were categorized according to their land holding size into marginal (<1 ha) and small (1-2 ha) category. On the basis of economic surplus left, the sample farmers were grouped as viable and nonviable farmers. The farmers having positive economic surplus are viable farmers and the farmers with negative economic surplus are non-viable farmers. Out of 120 sample farmer’s only 37 farmers were viable and 83 remained non-viable. It is found that net income from live stock and dairy and net income from crops were the major significant discriminating factors that discriminate viable and non-viable farmers. Other significant factors were off farm income, farm size and family expenditure.

scholarly journals Conscientiousness as a Predictor of Relative Longevity

2015 ◽  
Vol 8 (1) ◽  
pp. 33
Author(s):  
Felix Uchechukwu Udoh ◽  
Aloysius C. Anyichie
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
West Africa ◽  
Big Five ◽  
Sampling Technique ◽  
Pearson Product Moment Correlation ◽  
Anambra State ◽  
Data Analyses ◽  
The People ◽  
Selection Of

<p>This study examined the Conscientiousness domain (of the Big-Five Inventory [B5]) and its facets as predictors of Relative Longevity (RL). Its methods of investigation involved the administration of the B5 to a sample of 350 people from Anambra State (of Nigeria, West Africa) who had RL. These participants were drawn from the representative towns of the three senatorial zones in the State. Stratified sampling technique was employed in the selection of the respondents. Pearson Product-Moment Correlation analysis and Multiple Regression analysis were used in data analyses. The results of the research indicated that there was no significant correlation between Conscientiousness domain and RL. However, its (Conscientiousness) facet (of Thorough) correlated significantly with RL. Besides, Conscientiousness did not predict RL, but its facets (Thorough, Reliable, Organized, and Goal-directed) were found to be significant predictors of RL. The study’s conclusion is that although Conscientiousness was neither a correlate nor a predictor of RL among the people of Anambra State, some of its Facets were (correlate and/or predictor/s).</p>

An Improved Model-Free Sampling Technique Based on Bootstrap Methods

2016 ◽  
Author(s):  
Xinshui Yu ◽  
Zhaohui Yang ◽  
Kunling Song ◽  
Tianxiang Yu ◽  
Bozhi Guo
Keyword(s):  
Random Variables ◽  
Sampling Technique ◽  
Improved Method ◽  
Initial Sample ◽  
Bootstrap Methods ◽  
Local Characteristics ◽  
Model Free ◽  
Improved Model ◽  
Center Distance ◽  
Selection Of

The distribution and parameters of the random variables is an important part of conventional reliability analysis methods, such as Monte Carlo method, which should be known fist before using these methods, but it is often hard or impossible to obtain. Model-free sampling technique puts forward a method to get the distribution of the random variables, but the accuracy of the extended sample generated by it is not enough. This paper presented an improved model-free sampling technique, which is based on Bootstrap methods, to increase the accuracy of the extended sample and decrease the iteration times. In this improved model-free sampling technique, the method of the selection of initial sample points and the generation of iterative sample is improved. Meanwhile, a center distance criterion, which considers the local characteristics of the extended sample, is added to the generating criterion of dissimilarity measure. The effectiveness of this improved method is illustrated through some numerical examples.

scholarly journals Profitability Analysis and Factors Influencing Profit Level of Small-Scale Broiler Farmers in Nigeria

2020 ◽  
pp. 127-135
Author(s):  
Afodu Osagie John ◽  
Shobo Bolatito Adenike ◽  
Ayo-Bello Taofeek Ayodeji ◽  
Abasilim Chinwe Frances
Keyword(s):  
Sampling Technique ◽  
Educational Status ◽  
Study Data ◽  
Small Scale ◽  
Factors Affecting ◽  
Logit Regression ◽  
Profitability Analysis ◽  
Cost Of Drugs ◽  
Multistage Sampling ◽  
Selection Of

Broiler birds are widely praised for its palatability and nutritious values which are mainly for meat purpose, and also serves as source of income to many households in Nigeria. The broiler industry is faced with high cost of production thereby reducing the farmers profit. The study was conducted in three Geopolitical zones in Nigeria. A multistage sampling technique was adopted for this study for the selection of 540 broilers farmers out which 392 returned a well filled questionnaire where data were extracted for the study. Data for this study were analysed using descriptive (frequency and percent) budgetary analysis and inferential (Logit regression) statistics. Factors affecting the profit level of broiler farmers were age (γ1= -0.145, p= 10%), households size (γ3= -5.477, p=10%), educational status of the farmers (γ4= 0.228, p= 5%), number of birds (γ7= 0.575, p= 5%), cost of feed (γ8= -1.022, p= 1%), cost of water (γ9= -1.277, p= 1%), cost of drugs (γ10= -1.640, p= 5%) and cost of chick (γ11= -7.104, p= 1%). Young people should be encouraged to be involved in production of broiler, since agriculture has aging population and help in employment creation. Farmers should maintain a low number of households so as to increase their profit. The farmers should have some forms of education on the production of broilers so as to enhance their profit.

scholarly journals Pengaruh Biaya Produksi Dan Biaya Operasional Terhadap Laba Bersih

2021 ◽  
Vol 4 (2) ◽  
pp. 731-740
Author(s):  
Ester Meafrida Wati Pasaribu ◽  
Nanu Hasanuh
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Sample Selection ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Production Costs ◽  
Operating Costs ◽  
Net Income ◽  
Analysis Method ◽  
Operational Costs

The purpose of this study is to determine the effect of production costs and operating costs on net income in the consumer goods industry sector for the 2015-2019 period. The sample selection uses a sampling technique. In order to obtain a sample of 15 companies and a total of 75 data. The regression analysis analysis method used is multiple linear regression analysis through classical assumption tests and hypothesis testing. Based on the results of this study indicate that partially production costs have an effect on net income and other research results partially operational costs have a significant effect on net income. Simultaneously, production costs and operating costs have a significant influence on net income Keywords: Production Costs, Operational Costs, and Net Profits

scholarly journals DAMPAK BUDAYA KERJA DALAM PENERAPAN APLIKASI E-PLANNING UNTUK MEWUJUDKAN GOOD GOVERNANCE

2021 ◽  
Vol 3 (2) ◽  
pp. 135-143
Author(s):  
Tomi Satria Maggara ◽  
Aldri Frinaldi
Keyword(s):  
Research And Development ◽  
Good Governance ◽  
Sampling Technique ◽  
Search Method ◽  
Work Culture ◽  
Development Agency ◽  
Purposive Sampling ◽  
Valid Data ◽  
The Impact ◽  
Selection Of

This study describes the impact of work culture in implementing the e-planning application to realize good governanc e studies in the Planning ,Research and Development Agency of 50 Kota. There search method used is descriptive qualitative, because the problems are complex so that it requires interviews and observations to get valid data. The selection of informants was carried out by using purposive sampling technique. Based on the results of the research that has been done, it can be concluded that the impact of work culture in implementing E-Planning applications to achieve Good Governance at Bapelitbang Kabupaten 50 Kota it has had a good impact but there are still some problems that the authors haveen countered, among others: there are still delays in the preparation and inp t of planning documents, there are no awards given to employees, accommodation of RPJPD programs in application E-Planning and there are still employees who don't understand how to use the E-Planning application.

scholarly journals PENGARUH MODAL SENDIRI DAN MODAL PINJAMAN TERHADAP SISA HASIL USAHA (SHU) KOPERASI KOTA SUKABUMI

2017 ◽  
Vol 3 (2) ◽  
pp. 53
Author(s):  
Tria Rohmansyah ◽  
Sudarijati Sudarijati
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Technique ◽  
T Test ◽  
Net Income ◽  
Test Results ◽  
Net Profit ◽  
Quantitative Descriptive ◽  
Research Analysis

This research purpose how the influence of their own capital and loan capital of net income cooperative in Sukabumi City. This research is quantitative descriptive study using multiple regression analysis. The sampling technique used was purposive sampling where the sampling is based on certain criteria. From the established criteria, obtained 11 (eleven) sample cooperative in sukabumi city with the observation period of 2 (two) years for each sample cooperative. The research analysis tools using multiple regression analysis. Simultaneous hypothesis testing using the F and partial test using t-test with a probability level of 5 percent (0,05). F-test result explain that the own capital and loan capital Simultaneous have a positive and significant effect on net income cooperative. t-test results showed that the own capital have a positive and significant effect on net income. While loan capital is not have significant impact on net income cooperative in Sukabumi City.Key words : Equity, Loan Capital, Net Profit Margin

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