scholarly journals Factors influencing agricultural credit demand in Northern Ghana

2015 ◽  
Vol 10 (7) ◽  
pp. 645-652 ◽  
Author(s):  
Hananu Baba ◽  
Abdul-Hanan Abdallah ◽  
Zakaria Hudu
Keyword(s):  
Northern Ghana ◽  
Agricultural Credit ◽  
Factors Influencing ◽  
Credit Demand

scholarly journals Factors influencing willingness to participate in new drug trial studies: a study among parents whose children were recruited into these trials in northern Ghana

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
James Akazili ◽  
Samuel Chatio ◽  
Fabian Sebastian Achana ◽  
Abraham Oduro ◽  
Edmund W. Kanmiki ◽  
...  
Keyword(s):  
Drug Trial ◽  
Northern Ghana ◽  
Willingness To Participate ◽  
New Drug ◽  
Factors Influencing

Factors Influencing the Adoption of Climate-Smart Agricultural Technologies Among Rice Farmers in Northern Ghana

2020 ◽  
Vol 4 (1) ◽  
pp. 257-271 ◽  
Author(s):  
Abraham Zakaria ◽  
Suhiyini I. Alhassan ◽  
John K. M. Kuwornu ◽  
Shaibu B. Azumah ◽  
Mercy A. A. Derkyi
Keyword(s):  
Northern Ghana ◽  
Agricultural Technologies ◽  
Rice Farmers ◽  
Factors Influencing

scholarly journals ANALISIS PERAMALAN DAN PERMINTAAN KREDIT SEKTOR PERTANIAN PADA PT.BRI (PERSERO) UNIT KEPAHIANG I

2004 ◽  
Vol 3 (2) ◽  
pp. 82-91
Author(s):  
Redy Badrudin ◽  
Bambang Sumantri ◽  
Meiliza Cecilia
Keyword(s):  
Agricultural Sector ◽  
Moving Average ◽  
Secondary Data ◽  
Regression Function ◽  
Agricultural Credit ◽  
Factors Influencing ◽  
Double Exponential ◽  
Interest Level ◽  
Double Exponential Smoothing ◽  
Credit Data

The study  was aimed to Know   growth and forecast the amount of demand for agricultural sector credit at PT. BRI (Persero) Unit Kepahiang I, and (2) examine factors influencing for agricultural sector credit. Data  was secondary data from 1993  up to 2003. Ratio  to Moving Average Method, Double Exponential Smoothing with moved period 3 monthly and regression function of Non Doubled Linear were used. Results of research indicates that growth of demand for agricultural credit at PT. SRI (Persero) Unit Kepahiang I tend to fluctuate. Forecasting of demand for agricultural sector creditb to period quarterly at 2003 till 2004, tend   to have experience decreasing significantly compare to previous period. Overall of factors influencing demand of agricultural sector is rate of interest level (X1), price level (X2), and agriculture product exchange rate (X3), while earning level (X4) does not have an effect on demand Key Words: BRI, Forecasting, demand for credits,agricultura/s , sectors

scholarly journals Motivational factors influencing farming practices in northern Ghana

2020 ◽  
Vol 92 ◽  
pp. 100326 ◽  
Author(s):  
S. Mellon-Bedi ◽  
K. Descheemaeker ◽  
B. Hundie-Kotu ◽  
S. Frimpong ◽  
J.C.J. Groot
Keyword(s):  
Motivational Factors ◽  
Northern Ghana ◽  
Farming Practices ◽  
Factors Influencing

scholarly journals Factors influencing adverse events reporting within the health care system: the case of artemisinin-based combination treatments in northern Ghana

2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Samuel Chatio ◽  
Raymond Aborigo ◽  
Philip Baba Adongo ◽  
Thomas Anyorigiya ◽  
Philip Ayizem Dalinjong ◽  
...  
Keyword(s):  
Health Care ◽  
Adverse Events ◽  
Health Care System ◽  
Northern Ghana ◽  
Combination Treatments ◽  
Factors Influencing ◽  
Care System

scholarly journals Determinan Permintaan Motor Kredit Pada PT. Federal International Finance (FIF) di Kabupaten Manokwari

2018 ◽  
Vol 1 (1) ◽  
pp. 35-45
Author(s):  
Yuyun P. Rahayu ◽  
Elina R. Situmorang ◽  
Yospin Pasiamping
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
International Finance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Descriptive Statistics ◽  
Analysis Method ◽  
Factors Influencing ◽  
Credit Demand

Purpose of this study is to analyze determinant factors influencing the demand for Honda motorcycle credit at PT. Federal International Finance (FIF) Manokwari Regency. Descriptive statistics analysis method is used. Data was collected by interviews and questionnaires. Data analysis was performed using multiple linear regression analysis tools. The results show that the growth of credit demand in Manokwari Regency from 2011 to 2014 showed an increase. This because the use of motorbikes are efficient and economical as transportation. Thus, people prefer to use it rather than other transportation, such as cars. Furthermore, result of this study is that of the four variables used (income, credit payment period, the price of substituted products and goods) simultaneously have a positive and significant effect on the demand for Honda motorcycle credit in Manokwari Regency. While partially, only the credit payment period does not affect the demand for Honda motorcyclecredit.

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