scholarly journals Agricultural Loan and Agricultural Production Value in Turkey

2020 ◽  
Author(s):  
Esra KADANALI ◽  
Emine KAYA
Keyword(s):  
Agricultural Production ◽  
Production Value

scholarly journals Land Suitability and Crop Pattern Model using Integrated Pollination Intelligence Algorithm and Remote Sensing

2020 ◽  
pp. 1-15
Author(s):  
A. E. Akinsunmade ◽  
C. N. Ejieji
Keyword(s):  
Remote Sensing ◽  
Mathematical Model ◽  
Decision Making ◽  
Soil Properties ◽  
Agricultural Production ◽  
Decision Making Process ◽  
Economic Factors ◽  
Net Production ◽  
Production Value ◽  
Modern Optimization

A mathematical model for crop pattern coupled with economic and environmental factors of agricultural production constructed with remote sensing and metaheuristic based algorithm is considered in this work. The model is expected to serve as a support system for farm managers' decision making process. Geographic data showing soil properties of major cities in Benue State, Nigeria using remote sensing, was integrated to the model to obtain analyzed suitability information for selected crops. A class of modern optimization algorithms was thereafter used to find optimum cropland pattern. A net production value of $1,592,107,000.00$ was obtained by using the model compared to an initial production value of $1,364,460,000.00$ recorded in the study area. The study suggests that soil properties must be considered along side with economic factors before choosing the types of crop to be planted on a piece of land. This study has shown the efficacy of optimization tools which should be dully employed by farmers in decision making process. The data used to support the findings of this study are included within the article.

scholarly journals Association between Agricultural Production Value and the Use of Rural Area within the Municipalities in the State of São Paulo, Brazil

2017 ◽  
Vol 7 (3) ◽  
Author(s):  
Paulo André de Oliveira ◽  
Sergio Augusto Rodrigues ◽  
Carlos Roberto Padovani ◽  
Ricardo Ghantous Cervi ◽  
Francisco José Blasi de Toledo Piza
Keyword(s):  
Rural Area ◽  
Agricultural Production ◽  
Sao Paulo ◽  
The State ◽  
São Paulo ◽  
Production Value

scholarly journals Climate Sensitivity and the Value of Agricultural Production in the Brazilian Northeast: An Approach Using Spatial Panel Data

2021 ◽  
Vol 12 (5) ◽  
pp. 65
Author(s):  
Helson Gomes De Souza ◽  
Pablo Urano de Carvalho Castelar ◽  
Edward Martins Costa ◽  
Francisco Jose Silva Tabosa
Keyword(s):  
Agricultural Production ◽  
Spatial Econometric ◽  
Average Temperature ◽  
Production Value ◽  
Spatial Panel Data ◽  
Econometric Methodology ◽  
Temperature Levels ◽  
Space Data ◽  
Brazilian Northeast ◽  
Precipitation And Temperature

This work analyzes the sensitivity of agricultural production in relation to changes in precipitation and temperature levels in the Northeast region of Brazil. For that purpose, data from 2006 to 2016 were used for 952 municipalities in the area. The econometric methodology derived from Kunwar and Bohara (2017) and is applied to the production value of municipalities in the Brazilian Northeast, where it is assumed that the production value is also impacted by the interactions between precipitation and temperature. Thus, time and space data are used, applied to a spatial econometric methodology. The results suggest that the agricultural production of the municipalities of the Brazilian Northeast is spatially autocorrelated. There is indication that there are municipalities with high (or low) levels of production, which have neighbors with these same characteristics. It was also verified that, from 2006 to 2011, the agricultural production was more sensitive to changes in temperature levels than to changes in average precipitation. However, after the years 2012, 2013, 2015 and 2016, agricultural production has become more sensitive to changes in the precipitation levels. It was also noted that in the analyzed period there was an increase in the average sensitivity of the agricultural production in relation to the precipitation levels, while the average temperature sensitivity showed a decrease.

scholarly journals Determining of agricultural credit impact on agricultural production value in Turkey

2020 ◽  
Vol 50 (11) ◽  
Author(s):  
Nermin Bahşi ◽  
Eray Çetin
Keyword(s):  
Agricultural Production ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
Analysis Tool ◽  
Agricultural Credit ◽  
Factors Affecting ◽  
Macroeconomic Indicators ◽  
Production Value ◽  
Food Needs ◽  
The Impact

ABSTRACT: Agriculture is an indispensable activity for all countries. Depending on the increasing population, food needs can be met by increasing agricultural production. In this respect, it is of great importance to investigate the value of agricultural production and the factors affecting agricultural production. This study aimed to examine the impact on the agricultural production value of agricultural bank credit in Turkey. In the study, with the aim of examining the relationship between agricultural credit and agricultural production value in Turkey, 1998-2016 real agricultural loans and agricultural real gross domestic product annual data covering the period given above were used. The statistical analysis tool is ordinary least squares (OLS) techniques. According to OLS regression, the purposed model explains 83.94% of total variance. Regression coefficients show that effect of term is higher than effect of agricultural credits. The reason for this difference may be explained as dependency of credits on macroeconomic indicators and political structure of the country. This study proposes that agricultural credit mechanism in the country needs to be developed to increase the financing opportunities for the realization of technology and modernization investments by farmers.

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