scholarly journals Pengaruh PAD, DAU dan DAK pada Alokasi Belanja Modal dengan Pendapatan Per Kapita Sebagai Pemoderasi

2018 ◽  
pp. 2065
Author(s):  
Desak Made Mya Yudia Sari ◽  
Dewa Gede Wirama

Capital expenditures are budget expenditurse for acquisition of property, plant and other assets that provide benefits over one accounting period. Capital expenditure has an important influence on the economic growth of a region and helps moving the regional economy. Factors affecting capital expenditures include local revenues, general allocation funds and special allocation funds. The purpose of this study is to determine the effect of local revenues, general allocation funds, and special allocation funds in the allocation of capital expenditures in the regencies / cities in Bali and to determine whether the influence of local revenue, general allocation funds and special allocation funds on the allocation of capital expenditure is moderated by per capita income. The sample of this research is government of Regency / City in Bali during the period of 2012-2016, resulting in of 45 observation. Data analysis techniques used are multiple linier regression analysis and moderated regression analysis. Based on the results of the analysis it is known that the local revenue and special allocation funds have positive effects on the allocation of capital expenditure while the general allocation fund does not affect the allocation of capital expenditure. Per capita income does not moderate the effects of local revenue, general allocation funds and special allocation funds on capital expenditure allocations.

2021 ◽  
Vol 16 (1) ◽  
pp. 130-151
Author(s):  
Fernanda Andrade de Xavier ◽  
Aparna P. Lolayekar ◽  
Pranab Mukhopadhyay

We study the effect of revenue decentralization (RD) and expenditure decentralization (ED) on sub-national growth in India from 1981–1982 to 2015–2016 for 14 large (non-special-category) states. Our study provides evidence that both RD and ED play a defining role in India’s sub-national growth in this three-and-a-half-decade period. We use a panel data model with fixed effects (FE) and Driscoll and Kraay standard errors that control for heteroscedasticity, autocorrelation and cross-sectional dependence. To test for causality between growth and decentralization, we use the Granger non-causality test. The regression analysis is supplemented with the distribution dynamics approach. We find that: (a) While decentralization Granger-caused economic growth, the reverse causality effect of growth on decentralization was not significant; (b) Economic growth increased significantly after liberalization; (c) Decentralization, capital expenditure and social expenditure had significant positive impacts on economic growth; and (d) States that had high levels of decentralization also had high levels of per capita income, while states that had low decentralization also exhibited low per capita income.


2017 ◽  
Vol 12 (1) ◽  
pp. 42
Author(s):  
Septi Rostika Anjani ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo

This study aims to analyze the factors that influence the demand of soybean in Indonesia. The research method uses descriptive analysis of secondary data which includes the price of imported soybeans, the price of chicken, per capita  income,  the rate of inflation and import tariff policy  year period 1980-2013 which sourced from FAO  and  other  sources.  Estimation  of  demand  function  using  multiple  linear regression  analysis  were  transformed  in  the  form  of  natural  logarithm.  Regression analysis showed that soybean demand in Indonesia was influenced partially by prices of chicken, per capita income, and the rate of inflation. The price elasticity of demand of soybean in Indonesia is inelastic, that is equal 0,22. While the income elasticity of demand  for  soybeans  is  positive  which  means  that  soy  is  a  staple  item  for  the Indonesian people.


Author(s):  
Mohammad Bayu Moha ◽  
Anderson Guntur Kumenaung ◽  
Debby Christina Rotinsulu

Abstrak Pendapatan Asli Daerah (PAD)  merupakan salah satu komponen pendapatan utama pemerintah daerah dalam menunjang anggaran rumah tangganya, semakin tinggi tingkat pendapatan yang dimiliki oleh daerah tentu akan semakin tinggi pula tingkatan kemandiriannya dan bisa memaksimalkan pengalokasian anggaran untuk pembangunan sektor-sektor unggulan. Sedangkan Dana Alokasi Khusus (DAK) menjadi sumber pendapatan daerah yang bisa menambah asset local dan secara agreggat menambah pendapatan melalui peningkatan sumber-sumber perekonomian yang dimiliki. Dalam penelitian ini digunakan Ordinary least square dengan analisis regresi berganda dan mendapatkan hasil uji t dan uji f menunjukan bahwa PAD berpengaruh positif dan signifikan terhadap belanja modal sedangkan DAK tidak memberi pengaruh yang signifikan, namun melalui uji R Square didapatkan hasil 82,7 hal ini berarti secara bersama-sama pengaruh PAD dan DAU terhadap belanja modal adalah 82,7 % (persen) sedangkan sisanya dipengaruhi variable lain. Kata kunci : Pendapatan Asli Daerah (PAD), Dana Alokasi Khusus (DAK), Belanja Modal   Abstract Local Revenue  is one of the major revenue components of the local government in supporting the household budget, the higher the level of income that is owned by the region of course the higher the level of independence and can maximize the budget allocation for the development of leading sectors. While the Special Allocation Fund became a source of local revenue that can increase local assets and collectively increase revenue through increased economic resources owned. This study used the Ordinary least squares regression analysis and obtain test results and test t f showed that PAD positive and significant impact on capital expenditures, while DAK does not give a significant influence, but through R Square test showed 82.7 this means  collectively influence of PAD and DAU towards capital expenditure was 82.7% (percent) while the rest influenced other variables. Keywords: Local Revenue,  the Special Allocation Fund, Capital Expenditure  


2018 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Darman Saputra

The Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error is the variable Mining and Processing Industry, this variable affects the per capita income. The Feasible Generalized Least Square (FGLS) method can be used to estimate the regression parameters for incomplete panel data for a one-way random effect. In this model produce the best model with non-oil and gas GRDP data. The variables that fulfill it are the processing Industry, service, and agriculture of Forestry and Fishery.  Therefore looking at the above model can be concluded non-oil and Gas GRDP has three factors that affect per capita income in Bangka Belitung. This should be a reference of local governments to further improve the quality or production in agriculture and services because this potential is more promising for the future. Software used to analyze data in this paper is with R.


2020 ◽  
Vol 4 (2) ◽  
pp. 105-119
Author(s):  
Melly Latifah ◽  
Rizky Amelia

Academic achievement is affected by external and internal factors. This study generally aims to examine the influence of family characteristics (per capita income and parental education), individual characteristics (age and gender), cognitive intelligence, and self-regulated learning toward academic achievement in adolescents. A total of 91 samples (Mage=13.9 years) with the largest percentage of the respondents were women were selected from two different junior high schools in Bogor area. Cognitive intelligence, self-regulated learning, and academic achievement were measured using Riley Inventory Basic of Learning Skills (RIBLS), Motivated Strategies for Learning Questionnaire (MSQL), and student academic record, respectively. The partial regression analysis showed there was a negative effect of mother’s education on self-regulated learning. Gender was found to positively predicted cognitive intelligence. The regression analysis also showed that parental education and cognitive intelligence positively predicted adolescent academic achievement. Per capita income, gender, and self-regulated learning showed no significant effects on academic achievement.


Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 147
Author(s):  
Soeharjoto Soeharjoto

<em></em><em><em>This study aims to determine the factors that affect Indonesia's non-oil exports to Japan. The variables used are imports, exchange rates, per capita income, inflation and non-oil exports of Indonesia to Japan</em>. <em>The analytical method used is regression analysis with data used for quarterly time series data from 2005-2016.</em> <em>The results are variable imports of raw and auxiliary materials, cycles, inflation, real Japanese GDP, and the population is able to explain Indonesia's non-oil exports to Japan by 31.3 percent. Imports, exchange rates, per capita income and inflation have a positive and significant effect on non-oil and gas exports to Japan.</em></em><em> </em>


2022 ◽  
Vol 4 (4) ◽  
pp. 1050-1068
Author(s):  
Imam Khulwani ◽  
Risal Rinofah ◽  
Pristin Prima Sari

This study aims to determine the effect of Regional Original Income, General Allocation Funds, Special Allocation Funds, partially and simultaneously effecting Capital Expenditures in Regencies/Cities in the Province of the Special Region of Yogyakarta (DIY) in 2016-2020. The type of research used is the type of quantitative research. Secondary data obtained from the website (http://www.djpk.kemenkeu.go.id). In this study, it was analyzed using descriptive analysis and multiple linear regression analysis and processed with SPSS version 25. The results of this study indicate that partially: the Regional Original Income (PAD) variable has a partial effect on Capital Expenditures in 4 regencies and 1 city in the Special Region of Yogyakarta (DIY), the General Allocation Fund (DAU) does not partially affect Capital Expenditures. , the Special Allocation Fund (DAK) has an effect on Capital Expenditures in 4 districts and 1 city in the Province of the Special Region of Yogyakarta (DIY). Meanwhile, simultaneously: Variables of Local Revenue (PAD), General Allocation Fund (DAU), Special Allocation Fund (DAK) simultaneously have a significant effect on Capital Expenditures in 4 districts and 1 city in the Special Region of Yogyakarta (DIY). ) with the period 2016-2020. Keywords: Regional Original Revenue, General Allocation Fund, Special Allocation Fund, Capital Expenditure.


2019 ◽  
Vol 2 (2) ◽  
pp. p115
Author(s):  
Farhana Yasmin ◽  
Farhana Ferdousi Aziz

Bangladesh has pool of entrepreneurs whereas there are also new establishments; new employment opportunities and so are the income sources. For the better measurement of entrepreneurship characteristics, the growth and different indicators impact on entrepreneurship needs to be identified. Thus this paper tries to find out the key economic indicators of entrepreneurship in the context of Bangladesh. The research is based on secondary research; has used entrepreneurship as a dependent variable proxied by self-employment and seven independent variables—per capita income, unemployment rate, labor force, industrial structure change, capital, human capital and literacy rate. Two regression models have been used encompassing the stated variable data from year 2008 to 2018. In the first regression analysis it has been tried to identify whether the model can be constructed with the overall economic variables with the self employment. At second regression model it has been tried to find out whether there is the explain ability of the variables result in the regression analysis and what is the degree and pattern of the relationship. The research shows that literacy rate and human capital have aligned with the self employment. But all the other variables are not matched with the self employment and could not provide the support for self employment to thrive. And the linear regression analysis shows that per capita income, labor force and literacy rate play the most important role in case of nourishing self employment. Unemployment rate is found as contradictory with the findings in the context of Bangladesh.


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