scholarly journals Analyzing Factors Affecting Farmers' Decisions in Applying Organic Vegetable Farming

2019 ◽  
Vol 1 (3) ◽  
pp. 237-245
Author(s):  
Kris Indra Sanjaya ◽  
Tinjung Mary Prihtanti
Keyword(s):  
Decision Making ◽  
Sampling Technique ◽  
Education Level ◽  
Farm Income ◽  
Land Area ◽  
Factors Affecting ◽  
Independent Variables ◽  
Organic Systems ◽  
Vegetable Farming ◽  
Research Analysis

Farming with organic systems is one of the important efforts to support sustainable agriculture. The purpose of this study is to determine the factors that influence farmers to decide to implement organic vegetable farming. This research was conducted in June 2018 until September 2018 in Selongisor Hamlet, Batur Village, Getasan Subdistrict, Semarang Regency. Taking this research was conducted on a non-probability sampling with purposive sampling technique with the required criteria, namely respondents who cultivated in multicultural/intercropping. Samples taken were 60 samples consisting of 30 samples for each system both organic and inorganic. The research analysis used logistic regression, where the independent variables analyzed included age, education level, farm area, farm income, cosmopolitan farmers. The results showed the influence of land area, farmer's income and cosmopolitan farmer's decision making in cultivating organic vegetables.

scholarly journals RESPONS PETANI TERHADAP PROGRAM ASURANSI USAHA TANI PADI (AUTP) DI KECAMATAN ADIMULYO KABUPATEN KEBUMEN

2020 ◽  
Vol 44 (1) ◽  
pp. 41
Author(s):  
Rumiati Khasanah ◽  
Suwarto Suwarto ◽  
Arip Wijianto
Keyword(s):  
Personal Experience ◽  
Quantitative Methods ◽  
Formal Education ◽  
Secondary Data ◽  
Sampling Technique ◽  
Rice Farming ◽  
Cultivated Land ◽  
Land Area ◽  
Factors Affecting ◽  
Independent Variables

<p>This research aims to analyze the responses of farmers to the AUTP program; to analyze the factors affecting farmers’ responses to the AUTP program; and to analyze the influence of factors affecting responses to farmers’responses in the AUTP program. This research was conducted in Adimulyo Subdistrict, Kebumen Regency with the consideration of Adimuluyo Subdistrict is one of the regions that has implemented the AUTP program. This research used quantitative methods and survey technique. The sampling technique used was proportional random sampling. The data sources used were primary and secondary data with methods of observation, interviews, documentation and recording. The analysis method used was multiple linear regression. The results showed that the farmers’ responses to the program from the aspects of understanding, acceptance and implementation of the majority of farmers’responses were in the category of highly disagree with the program. Factors that can influence the responses of the majority were in the very low category, such as formal education, non-formal education, personal experience of rice farming, cultivated land area. Only the age factor was middle-aged, income was low, and mass media access was never. There was a significant influence between the independent variables to the dependent variable in the AUTP program. Independent variables that significantly affected were age (X ), non- formal education (X ), income (X ), personal experience of rice farming (X ), cultivated land area (X ) and mass access (X ). Other variable that didn’t significantly affected the responses of farmers in the AUTP program was formal education (X ).</p>

scholarly journals The Impact Of Agricultural Extension Contact On Crop Income In Bangladesh

2013 ◽  
Vol 38 (2) ◽  
pp. 321-334 ◽  
Author(s):  
Abu Zafar Mahmudul Haq
Keyword(s):  
Random Sampling ◽  
Field Survey ◽  
Sampling Technique ◽  
Agricultural Extension ◽  
Farm Income ◽  
Extension Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Crop Income ◽  
The Impact

The impact of extension contact on crop income is examined with a view to evaluating the agricultural extension in Bangladesh. The scope of the study was ten villages of Gazipur district. The objectives of the study are to i) determine the factors influencing the benefit of extension services in terms of farm income, ii) determine the factors affecting the extension contact of farmers, and iii) suggest some policy guidelines to improve the extension services in Bangladesh. The sample of the study consists of 1000 farmers. Data came from field survey and multistage random sampling technique was used in order to collect data. The results indicated that the impact of extension contact coefficient on crop income is positive and significant. Evidence shows that the influence of extension contact coefficient is strongly positive and significant in the comparatively nearer villages to upazila headquarters, while this effect is weaker for those villages, which are comparatively away from upazila headquarters. It is found that many farmers did not receive extension contact and the effect of extension contact is weak on crop income compared to other factors such as irrigation and chemical fertilizer. It is assumed that there was enough scope to increase extension contact in the study areas. Some determinants of extension contact were also examined. The study concludes that agricultural extension is necessary to increase among the farmers. Bangladesh J. Agril. Res. 38(2): 321-334, June 2013 DOI: http://dx.doi.org/10.3329/bjar.v38i2.15893

scholarly journals KEPATUHAN WAJIB PAJAK MEMEDIASI DETERMINAN PENERIMAAN PAJAK PENGHASILAN

2017 ◽  
Vol 21 (2) ◽  
pp. 318
Author(s):  
Rachmawati Meita Oktaviani ◽  
Pancawati Hardiningsih ◽  
Ceacilia Srimindari
Keyword(s):  
Income Tax ◽  
Tax Compliance ◽  
Sampling Technique ◽  
Survey Method ◽  
Tax Revenue ◽  
Factors Affecting ◽  
Independent Variables ◽  
Tax Revenues ◽  
The Relationship ◽  
Income Tax Revenue

This study aims to examine and analyze the factors affecting income tax revenues with tax compliance as an intervening variable. The study consists of three independent variables that tax penalties, the service tax authorities, and awareness of the taxpayer. While this research is tied in income tax revenues and intervening variable is tax compliance.This study used purpose sampling technique and survey method with questionnaires in collecting data. Respondent were sampled in this study is an individual taxpayer who performs is 120 respondent in Semarang. Research data analysis using multiple analysis with the path analysis.The results showed that the variable tax penalties and service tax authorities an effect on tax compliance, awareness taxpayer has no effect on tax compliance, tax penalties, awareness of taxpayers and taxpayer compliance effect on income tax revenue, the service tax authorities had no effect on tax revenue income. Tax compliance successfully mediate the relationship between the variables of service tax authorities against income tax revenue. Tax compliance  not successfully mediate the relationship between the tax penalties and awareness taxpayer against income tax revenue.

scholarly journals Assessment of socio-economic factors affecting the utilization of manual screw press for gari production in Kwara state, Nigeria

2019 ◽  
Vol 7 (1) ◽  
pp. 107-115
Author(s):  
Adegbola A. Jacob ◽  
Wegh F. Shagbaor ◽  
Ikwuba A. Agbanugo ◽  
Nwafor S. Chimela
Keyword(s):  
Sampling Technique ◽  
Screw Press ◽  
Policy Makers ◽  
Economic Determinants ◽  
Factors Affecting ◽  
Independent Variables ◽  
Socio Economic Variables ◽  
Level Of Experience ◽  
Structured Questionnaire ◽  
Socio Economic Factors

This study investigated socio-economic determinants of utilization of manual screw press for cassava mash dehydration for gari production in four local government areas across the ADP zones in Kwara state, Nigeria. Using random sampling technique and a semi-structured questionnaire as a research instrument, data for the study were collected from a sample of three hundred and eighty-four (384) gari processors who use the screw press in the state. Multiple regression analysis shows that a correlation (R=0.678) exist between utilization of the screw press and the independent variables which include age, household size, level of education, years of processing experience, extension visits, and income from gari processing. R2 value of 0.460 indicates that about 46% of the variation in utilization was explained by socio-economic variables included in the regression model. Three variables significantly influenced the decision of the respondents to utilize the manual screw press: age, level of experience, and income; the most important predicator being income with a Beta value of 0.699. Conclusively, it was recommended among others that research, extension, and policy makers consider the significant determinants identified in the study seriously if increased utilization is to be achieved by gari processors and others similar to them in the study area and the region.

scholarly journals The Factors Affecting Farmers’ Soybean Planting Behavior in Heilongjiang Province, China

Agriculture ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 188 ◽  
Author(s):  
Liu ◽  
Zhang ◽  
Marley ◽  
Liu
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Farm Income ◽  
Chinese Government ◽  
Heilongjiang Province ◽  
Agricultural Insurance ◽  
Subsistence Farmers ◽  
Factors Affecting ◽  
Soybean Production ◽  
Significant Difference

Under the threat of food insecurity, the Chinese government has created plans and policies to stimulate soybean production. Despite government efforts to stimulate production, based on predictions, planned targets for soybean production are unlikely. Consequently, the predictions raise questions about farmers’ intentions to increase soybean cultivating area. In other words, farmers may not be willing to increase soybean. However, few researchers have studied soybean farmers’ intention and behavior. With these concerns in mind, this study analyzed the intention and factors that influence farmers' choice of increasing soybean production as well as evaluating the differences in the decision making between commercial and subsistence farmers. This study collected data from 155 randomly selected families in 23 villages in the major soybean area in Heilongjiang Province. Results showed that 42.6% of the farmers expressed that they would expand soybean planting area, while the rest would insist on previous planting habits. The capacity to increase soybean production confronted many constraints. Farmers’ age, farm income, land topography, and ease of selling all positively influence farmers’ behavior. A significant difference in decision making between subsistence and commercial farmers was found. Subsistence farmers were more affected by land topography, agricultural insurance status, and satisfaction of soybean subsidies, whereas commercial farmers were more affected by farming experience and farm income. As a result, soybean policies should focus on increasing farmers' income, promoting large-scale planting, training young farmers, innovation of agricultural insurance, and strengthening construction of agricultural infrastructure.

scholarly journals Production Efficiency of Sorghum: The Case of Smallholder Farmers in Kafta-Humera District Tigray Ethiopia

2021 ◽  
pp. 46-61
Author(s):  
Tewoderos Meleaku ◽  
Degye Goshu ◽  
Bosena Tegegne
Keyword(s):  
Production Efficiency ◽  
New Technologies ◽  
Smallholder Farmers ◽  
Allocative Efficiency ◽  
Sampling Technique ◽  
Farm Income ◽  
Stochastic Production Frontier ◽  
Resource Base ◽  
Factors Affecting ◽  
Sorghum Production

Efficiency is an important factor for increasing productivity which leads to increase market output to achieve the goal of food security. In economics where resources are scarce and opportunities to use new technologies are limited, increasing efficiency remains the most reasonable means to raise productivity without necessarily developing new technologies or increasing the resource base. So, this study aimed to investigate level of production efficiency, factors affecting production inefficiency of sorghum small holder farmers in Kafta-humera district of Tigray Ethiopia. A two stage sampling technique was used to select 289 sample farmers who were interviewed using a semi- structured questionnaire to obtain data pertaining to sorghum production during the year 2016/2017.Stochastic production frontier model was used to identify production efficiency levels, where as Tobit models was used to estimate factors affecting production efficiency levels. Accordingly, the mean technical, allocative and economic efficiencies were 78.01%, 65.21% and 39.91% respectively. This implies that output can be increased by 21.99% or cost can be reduced by 34.79% with the existing level of technology and resources. Input variables such as land, labor, tractor plow power, chemicals, DAP and Urea fertilizers positively affects production of sorghum. The discrepancy ratio (γ) implied that about 91.91% of the variation in sorghum production was attributed to technical inefficiency effects. Tobit model revealed that age, education, non-farm income, credit, extension service and training positively and significantly affected technical efficiency while age square and total livestock holding had negatively and significantly affected. Additionally, age square, education and frequency of farm visit positively and significantly affected allocative efficiency, while age, non-farm income, credit and extension contact have a negative and significant affect. Economic efficiency was positively and significantly affected by age, education, non-farm income, credit, extension contact and frequencies of farm visit but negatively affected by age square. These indicate that there is a room to increase in production efficiency of sorghum in the study area. Therefore, government authorities and other concerned bodies should take into consideration the above mentioned demographic, socioeconomic and institutional factors to increase efficiency of sorghum.

scholarly journals MODEL REGRESI TOBIT KONSUMSI SUSU CAIR PABRIK (Studi Kasus Rumah Tangga di Provinsi Bali)

2014 ◽  
Vol 3 (2) ◽  
pp. 75 ◽  
Author(s):  
I PUTU JERYANA ◽  
I PUTU EKA NILA KENCANA ◽  
G. K. GANDHIADI
Keyword(s):  
Regression Model ◽  
Sampling Technique ◽  
Information Criterion ◽  
Simple Random Sampling ◽  
Education Level ◽  
Tobit Regression ◽  
Response Variable ◽  
Independent Variables ◽  
Dairy Milk ◽  
Tobit Regression Model

Regression analysis is used to study the relationship between dependent (response) variable with one or more independent (causal) variables. While response data were censored, then Tobit regression model could be applied.  According to Greene (2003), censored data were data with incomplete observation or the dependent variable has a value of zero, while for the other observations have particular value.  This research aimed to model dairy milk’s consumption from households at Bali Province.  By using data from Survey SosialEkonomiNasional (SUSENAS) or Social Economy’s National Survey (SENS) for year 2012, 615 households were selected as sampling unit using simple random sampling technique, and found 123 households who consumed dairy milk.  The independent variables in our model were last education level completed by head of household’s (X1), head of household’s work (X2), age of head of household’s (X3),  amount of expenditure for food consumption’s (X4), number of household members (X5), and household income (X6), the response variable was budget for buying dairy milk (Y).  From six independent variables, is found only last education level by head household and amount of expenditure for food consumption had siginficant effect on Y’s.  The final Tobit regression model were obtained using AIC (Akaike Information Criterion) method is Y = -3314724 + 565429,7 X1 + 0,014278 X4 with pseudo R2 as much as 16.79 per cent.

scholarly journals What determines Enset (Ensete ventricosum) production and its contribution to household income? Empirical evidence from Ethiopia

2021 ◽  
Vol 11 (1) ◽  
pp. 17-25
Author(s):  
Ejigu Mulatu
Keyword(s):  
Crop Production ◽  
Econometric Model ◽  
Household Head ◽  
Sampling Technique ◽  
Education Level ◽  
Market Participation ◽  
Two Stage ◽  
Factors Affecting ◽  
Gross Income ◽  
Market Center

Enset production in Ethiopia is seemingly limited to only consumption-based production and most of producers supplied small amounts of products to the market. This study was conducted with main objective of assessing factors affecting market participation of enset producers in Chena district in southwestern Ethiopia. Two-stage sampling technique was employed to select 101 representative enset producer households. Both primary and secondary data sources were used to gather necessary data for attaining specific objectives of the study. Both descriptive statistics and econometric model were used to analyze the collected data. A Heckman two stage model was employed to analyze the factors affecting households’ decision in market participation in sale of enset products and the amount of gross income earned. Econometric model analysis result showed that; sex of household head, education level, livestock owned, a distance from nearest market center, enset plantation size, and transport access were found to be significant in affecting the probability of market participation decision. In addition, education level, family size, distance from market center, enset plantation, and transport access affected the amount of gross income earned from sale of different enset products. The result suggests the need for stakeholders’ involvement to enable market-oriented production of crop to encourage farmers for better crop production and market supply to have increased amount of income and proper utilization of the crop. Int. J. Agril. Res. Innov. Tech. 11(1): 17-25, June 2021

scholarly journals Marginal Propensity to Save of Workers in Textile Products Industry (TPT)

2019 ◽  
Vol 2 (2) ◽  
pp. 413-423
Author(s):  
Khalwatul Ulya ◽  
P. Eko Prasetyo
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Significant Influence ◽  
Textile Industry ◽  
Sampling Technique ◽  
Education Level ◽  
Analysis Method ◽  
Independent Variables ◽  
Marginal Propensity ◽  
Quantitative Descriptive

The purpose of this study was to find out the desire to save the textile industry workers in Semarang Regency and the factors that influence it. This type of research is quantitative descriptive. The population in this study was Labor at 10 TPT Industries totaling 17,757. The sample was determined by 100 respondents using the Slovin formula, and was considered representative. The sampling technique used is simple random. Methods of collecting data used questionnaires, interviews and observations. Data analysis method used multiple linear regression. The variables used in this study are age, income, consumption and education level as independent variables. While the desire to save as a dependent variable. The results showed that the income variable and education level had a positive and not significant effect, the consumption variable had a negative and significant influence, the age variable had a negative and not significant effect on saving desires. Suggestions for optimizing the increase in savings, employees should be able to increase the desire to save by consuming as needed and reduce unnecessary expenses so that the amount of savings can be increased and the benefits of saving can be felt. Tujuan dari penelitian ini adalah untuk mengetahui keinginan untuk menyelamatkan pekerja industri tekstil di Kabupaten Semarang dan faktor-faktor yang mempengaruhinya. Jenis penelitian ini adalah deskriptif kuantitatif. Populasi dalam penelitian ini adalah Tenaga Kerja di 10 Industri TPT dengan total 17.757. Sampel ditentukan oleh 100 responden menggunakan rumus Slovin, dan dianggap representatif. Teknik pengambilan sampel yang digunakan adalah acak sederhana. Metode pengumpulan data menggunakan kuesioner, wawancara dan observasi. Metode analisis data menggunakan regresi linier berganda. Variabel yang digunakan dalam penelitian ini adalah usia, pendapatan, konsumsi dan tingkat pendidikan sebagai variabel independen. Sedangkan keinginan untuk menabung sebagai variabel dependen. Hasil penelitian menunjukkan bahwa variabel pendapatan dan tingkat pendidikan berpengaruh positif dan tidak signifikan, variabel konsumsi berpengaruh negatif dan signifikan, variabel umur berpengaruh negatif dan tidak signifikan terhadap keinginan menabung. Saran untuk mengoptimalkan peningkatan tabungan, karyawan harus dapat meningkatkan keinginan untuk menabung dengan mengkonsumsi sesuai kebutuhan dan mengurangi biaya yang tidak perlu sehingga jumlah tabungan dapat ditingkatkan dan manfaat dari tabungan dapat dirasakan.

scholarly journals FACTORS AFFECTING THE PROFITABILITY LEVEL (STUDY ON BUKU 3 CONVENTIONAL COMMERCIAL BANKS REGISTERED WITH THE FINANCIAL SERVICES AUTHORITY)

2021 ◽  
Vol 2 (5) ◽  
pp. 751-765
Author(s):  
Viciwati Viciwati
Keyword(s):  
Financial Services ◽  
Commercial Banks ◽  
Sampling Technique ◽  
Fixed Effect Model ◽  
Capital Adequacy ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Test Statistic ◽  
Factors Affecting ◽  
Independent Variables

This research aims to test the influence of Third-party Funds (DPK), Capital Adequacy Ratio (CAR), Operational Income Operating Costs (BOPO), Loan to Deposit Ratio (LDR), and Non-Performing Loan (NPL) on the Profitability (ROA) at Conventional Commercial Banks Books 3 which are listed on Financial Services Authority (OJK) 2014-2018 period. This research is using the purposive sampling technique to collect data population from financial reports Conventional Commercial Banks Books 3 which are listed on OJK 2014-2018 period with the number of samples used were 16 banks. The data were analyzed using panel data regression using the fixed effect model. Hypothesis testing uses F-test statistic, coefficient of determination test (), and t-test statistic. The results showed that simultaneously of the five independent variables studied, significant impact on ROA. And partially of the five independent variables studied, there are two independent variables that negative and significant influence on ROA namely BOPO and NPL. While three independent variables do not positive and do not significantly affect ROA namely DPK, CAR, and LDR. The Contribution of all independent variables is 89,7125% and the rest of the value 10,2875% can be explained by another variable outside this research model.

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