The Misleading Decision: A Situation Explanation By Demographic Characteristics And Rural Banks In The Agricultural Sector; A Case In The Eastern Region Of Ghana.

AshEse Journal of Agricultural Science                                                                  

Vol. 2(1), pp. 082-104, December, 2019

ISSN: 2059-1225  

© 2019 AshEse Visionary Limited 

Full Length Research

The misleading decision: A situation explanation by demographic characteristics and rural banks in the agricultural sector; a case in the eastern region of Ghana.

Bright N.K Ahia1*, Eric S. Ahiadu2, Ayivi Williams3, Kouassi F. A. Prince4

1 Management and Economics, UESTC, Chengdu, 61000, China

2Mathematics, UDS, Navrongo, Ghana

3 Management and Economics, UESTC, Chengdu, 61000, China

Computer Science and Engineering, UESTC, Chengdu, 61000,

*Corresponding Author E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Received October, 2019; Accepted December, 2019

The seminal contribution of the agricultural sector of emerging economies has been remarkable; however, the impact of demographic characteristics and fund acquisition is still unemployed in the agricultural sector. This study employs the ordinary least square and curve-fitting models to examine the contribution of demographic characteristics and rural banks on 100 respondents in the eastern region of Ghana. We found that education plays a key role in having access to bank credits and agricultural production. Also, having access to bank credit positively affects the agricultural output of farmers though not statistically significant. Control for the models, experience, household size, and extension services were found to be positive and significant with total output. The amount received at the bank, age, marital status, farm size, mode of payment and education were positively related while account with the bank has a negative relationship. The curve fitting models envisaged that increasing education based on the quadratic equation will increase production sharply while the cubic model increase and decrease steadily. Overall, our finding suggests that education plays a key role both in fund acquisition and farm outputs.

Keywords:Agriculture, demographics, farmers, rural banks, curve fitting, OLS.

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