European Journal of Accounting, Auditing and Finance Research (EJAAFR)

EA Journals

Financial Balance Fund and Income Per Capita.

THE EFFECT OF FISCAL POTENTIAL AND NEEDS ON REGIONAL BOTTOM AID MODEL (BDB) IN NORTH SUMATERA PROVINCE (Published)

The purpose of this study is to analyze and determine the influence of fiscal potential and needs in the model of allocation formulation of regional bottom air (BDB) in North Sumatra province. The variables used in this study are the performance of the regional bottom aid (Y) as dependent variable while is total population (X1), poverty index (IKR) (X2), size of region (X3), construction cost index (CCI) (X4), gross domestic product (GDP) (X5), regional revenue (PAD) (X6), balances of fund (X7) and income per capita (X8) as independent variables. The data analysis used in this study is structural equation models, while the population is all the 33 districts/cities in North Sumatera province, and the sampling technique is using purposive sampling method with consideration of specific criteria. The findings concluded that the dominant variable in determining the allocation of the regional bottom aid (BDB) in North Sumatra is the total population, construction cost index (CCI), the financial fund balance and income per capita.

Keywords: Construction Cost Index, Financial Balance Fund and Income Per Capita., Population, Regional Bottom Aid

THE EFFECT OF FISCAL POTENTIAL AND NEEDS ON REGIONAL BOTTOM AIDMODEL (BDB) IN NORTH SUMATERA PROVINCE (Review Completed - Accepted)

The purpose of this study is to analyze and determine the influence of fiscal potential and needs in
the model of allocation formulation of regional bottom air (BDB) in North Sumatra province. The
variables used in this study are the performance of the regional bottom aid (Y) as dependent
variable while is total population (X1), poverty index (IKR) (X2), size of region (X3), construction
cost index (CCI) (X4), gross domestic product (GDP) (X5), regional revenue (PAD) (X6), balances
of fund (X7) and income per capita (X8) as independent variables. The data analysis used in this
study is structural equation models, while the population is all the 33 districts/cities in North
Sumatera province, and the sampling technique is using purposive sampling method with
consideration of specific criteria. The findings concluded that the dominant variable in determining
the allocation of the regional bottom aid (BDB) in North Sumatra is the total population,
construction cost index (CCI), the financial fund balance and income per capita.

Keywords: Construction Cost Index, Financial Balance Fund and Income Per Capita., Population, Regional Bottom Aid

Scroll to Top

Don't miss any Call For Paper update from EA Journals

Fill up the form below and get notified everytime we call for new submissions for our journals.