Impact of Repatriated Migrants on the Production Possibility of Agricultural Sector Owing to Covid: A Study on the Basis of Inferential Statistics

2021 ◽  
pp. 553-567
Author(s):  
Sanjaya Kumar Sahoo ◽  
Sukanta Chandra Swain
Keyword(s):  
Agricultural Sector ◽  
Inferential Statistics ◽  
Production Possibility

scholarly journals Assessing the Effectiveness of Selected Aspects of Extension Approaches Across Different Agro Ecological Zones

2021 ◽  
pp. 53-66
Author(s):  
Washington Ochola ◽  
Mary Orinda
Keyword(s):  
Agricultural Sector ◽  
Smallholder Farmers ◽  
Agricultural Extension ◽  
P Value ◽  
Inferential Statistics ◽  
Cross Sectional Survey ◽  
Agricultural Technologies ◽  
Ecological Zones ◽  
Farmer Behaviour ◽  
Agro Ecological Zones

Aims: Understanding how different agricultural organisations implement extension approaches across different Agricultural Ecological Zones is very critical for the success and impact in agricultural sector. This paper therefore assessed the effect of Agro-Ecological Zones on implementation of agricultural extension approaches to provide an insight into how to improve dissemination of improved technologies.  Study Design: A cross-sectional survey combining quantitative and qualitative data collection methodologies was used. Place and Duration of Study: The study was conducted in six counties of western Kenya: Nyamira, Kisii, Homa-bay, Migori, Kisumu, and Siaya counties. The study was conducted between September to December 2019. Methodology: 12 agricultural institutions within the study area were sampled. A multi stage random sampling technique was used to identify 492 respondents comprising; 12 head of agriculture in the institutions, 120 extension personnel and 360 household heads across different Agricultural Ecological Zones (AEZs). Data was analysed using both descriptive and inferential statistics.  The inferential statistics were set at the 0.05 level for significance. Kruskal Wallis test and Dunn-Bonferroni Post Hoc test were used to test significant differences on the implementation aspects of the extension approaches across the different AEZs. Results: Climatic conditions, average age, land size, and value of household assets as factors of AEZs influenced how various aspects of agricultural extension approaches were implemented. Level of implementation of aspects influenced uptake of agricultural technologies. Kruskal Wallis test result (H (5) = 126.679, p value < 0.001) indicated that there were significant differences in the level at which smallholder farmers improved their agricultural practices in different AEZs. Conclusion: For effective dissemination of agricultural technologies, farmer situation, specifically agro ecological zone must be taken into consideration when recommending extension dissemination approaches to be used. Multivariate analysis needs to be done to inform how to implement various aspects of extension approaches to achieve optimum results in terms of farmer behaviour change.

Use of Inferential Statistics in JEAB: Historical Trends

2010 ◽  
Author(s):  
Laurence D. Smith ◽  
Lisa A. Best ◽  
Alan Stubbs
Keyword(s):  
Inferential Statistics ◽  
Historical Trends

DAMPAK KEBIJAKAN FISKAL TERHADAP KINERJA SEKTOR PERTANIAN DI SULAWESI TENGGARA

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
La Ode Jabuddin ◽  
Ayub M Padangaran ◽  
Azhar Bafadal Bafadal
Keyword(s):  
Fiscal Policy ◽  
Interest Rates ◽  
Agricultural Sector ◽  
Simultaneous Equations ◽  
Poor People ◽  
Land Area ◽  
Factors Affecting ◽  
Historical Simulation ◽  
The Impact ◽  
Direct Expenditure

This study aims to: (1) Knowing the dynamics of fiscal policy and the performance of the agricultural sector, (2) Analyze the factors that influence fiscal policy and the performance                   of the agricultural sector, and (3) Analyzing the impact of fiscal policy on the performance of the agricultural sector. The data used in this study were pooled 2005-2013 data in the aggregate. Econometric model the impact of fiscal policy on the performance of the agricultural sector is built in the form of simultaneous equations, consisting of 7 equations with 25 total variables in the model, 7 endogenous variables, 12 exogenous variables, and 6 variables lag. The model is estimated by 2SLS method SYSLIN procedures and historical simulation with SIMNLIN procedure.The results showed that: (1) The development of fiscal policy in Southeast Sulawesi from year to year tends to increase, (2) The performance of the agricultural sector from the aspect of GDP has decreased, from the aspect of labor is still consistent, in terms of investment to grow positively, and assign roles which means to decrease the number of poor people, (3) factors affecting fiscal policy is local revenues, equalization funds, other revenues, as well as the lag fiscal policy, (4) the factors that affect the performance of the agricultural sector from the aspect GDP is labor, direct expenditure and GDP lag; from the aspect of labor is the total labor force, investment, land area, direct expenditure, as well as the lag of labor; from the aspect of investment is influenced by GDP per capita, land area, interest rates and investment lag; as well as from the aspect of poor people, are affected by population, investments, direct expenditure and poverty lag, (5). Fiscal policy impact on the agricultural sector GDP increase, a decrease in the number of poor, declining agricultural laborers, and a decrease in the amount of investment in the agricultural sector.Keywords: Fiscal policy, the performance of the agricultural sector, the simultaneous equations

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