scholarly journals Analisis peran kredit perbankan dalam pendanaan usaha mikro, kecil, dan menengah (UMKM) serta hubungannya dengan pertumbuhan ekonomi di Provinsi Jambi

2020 ◽  
Vol 15 (2) ◽  
pp. 277-286
Author(s):  
Dessy Anggraini ◽  
Haryadi Haryadi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Interest Rate ◽  
Capita Income ◽  
Pearson Correlation ◽  
Business Units ◽  
Small And Medium Enterprise ◽  
Enterprise Credit ◽  
Medium Enterprise ◽  
Per Capita

This research aims to: (1) analyze the development of micro, small, and medium enterprise credit in Jambi Province, (2) analyze the factors affecting micro, small, and medium enterprise credit in Jambi Province by using regression panel data, (3) analyze relationship of micro, small, and medium enterprise credit with economic growth in Jambi Province using Pearson correlation. The result of the equation estimation panel data test using the REM model showing that real interest rate, per capita income, and the number of business units simultaneously have a significant effect on micro, small, and medium enterprise credit with a value of F significance statistic equal to 88,82. The result of partial estimation obtained a rill interest rate has a significant effect on micro, small, and medium enterprise credit. While per capita income and numbers of business units variable have no significant effect on micro, small, and medium enterprise credit because of a significance value of t statistic equal to 0,662959 and -0,259486. The Pearson correlation result showing the relationship micro, small, and medium enterprise credit to economic growth in Jambi province is very strong in a positive direction.

scholarly journals UKURAN PASAR UKURAN PASAR (Market Size) DAN INVESTASI ASING LANGSUNG DI ASEAN

2016 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Adi Lumadya
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Foreign Investment ◽  
Capita Income ◽  
Random Effect ◽  
Direct Foreign Investment ◽  
Market Size ◽  
Per Capita Income ◽  
Variable Size ◽  
Per Capita

The main objective of this study was to examine the influence of some economic variables that include market size proxied with income per capita, economic growth, and exports to the Foreign Direct Investment in the member countries of ASEAN-9. The analytical tool used is the Least Squares Regression (Ordinary Least Square) and Panel Data. In the Data Panel will look for similarities in effect is Fixed (Fixed Effect) and the effect is Random (Random Effect). The results of the analysis are: Based on the analysis of OLS concluded that the variable size of the market (market size) were proxied with Per Capita Income (GDPP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Fixed Effect Method concluded that the variable size of the market (market size) were represented with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Random Effect method concluded that the variable size of the market (market size) were proxied with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Keywords: Foreign Direct Investment, Fixed Effect, Random Effect

Determinants of Microfinance Outreach in India: Empirical Evidence

2020 ◽  
Vol 66 (2) ◽  
pp. 165-178
Author(s):  
Sivagandhi Saravanan ◽  
K. R. Shanmugam
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Evidence ◽  
Capita Income ◽  
Social Issues ◽  
State Level ◽  
Key Indicator ◽  
Bank Ownership ◽  
Per Capita ◽  
Linkage Program

Using a panel data on the Microfinance-Bank Linkage Program (2008–2015), this paper examines the determinants of the program’s outreach. The results indicate that microfinance outreach has not been a key indicator for addressing economic and social issues. The study underscores that the program favors income-rich rather than poor states: the average loan is correlated with higher per capita income and high economic growth at the state level. Literacy, NPA, and bank ownership also matter in determining microfinance outreach.

scholarly journals Decentralization and Its Impact on Growth in India

2021 ◽  
Vol 16 (1) ◽  
pp. 130-151
Author(s):  
Fernanda Andrade de Xavier ◽  
Aparna P. Lolayekar ◽  
Pranab Mukhopadhyay
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Fixed Effects ◽  
Capital Expenditure ◽  
Per Capita Income ◽  
Reverse Causality ◽  
Social Expenditure ◽  
Causality Test ◽  
Per Capita ◽  
National Growth

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.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.

NON-LINEAR EFFECTS OF TERRORISM ON ECONOMIC GROWTH IN PAKISTAN: ACCOUNTING FOR CAPITAL PER WORKER AND STRUCTURAL BREAKS

2019 ◽  
pp. 1950014
Author(s):  
RONALD RAVINESH Kumar ◽  
SYED JAWAD HUSSAIN SHAHZAD ◽  
PETER JOSEF STAUVERMANN ◽  
NIKEEL Kumar
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Structural Breaks ◽  
Per Capita Income ◽  
Negative Effects ◽  
Capital Share ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Per Capita

In this study, we examine the asymmetric effects of terrorism and economic growth in Pakistan over the period 1970–2016, while considering the role of capital per worker and structural breaks. We use the non-linear ARDL approach to establish the long-run association and to estimate the short-run and long-run effects accordingly. The results indicate the presence of asymmetries in both long and short run. Moreover, 1% decrease in terrorism results in an increase of per capita income by 0.02% in the long run and 0.001% in the short run. Assuming symmetry, the long run capital share is 0.47. In asymmetric relation, a 1% increase in capital share increases output by 0.55%, whereas a 1% decrease in capital stock decreases output by 0.26%. The break effects show that the years 1993 and 2004 have negative effects on growth. The vector error correction model-based causality results indicate a unidirectional causality from terrorism to per capita income. Overall, the results highlight that terrorism is growth retarding.

scholarly journals Model Pertumbuhan Ekonomi Indonesia: Peranan Ketergantungan Spasial

2019 ◽  
Vol 19 (1) ◽  
pp. 62-83
Author(s):  
Aspiansyah Aspiansyah ◽  
Arie Damayanti
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Growth Model ◽  
Spatial Dependence ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Economic Growth Model ◽  
Per Capita

This study aims to examine the role of spatial dependence on Indonesia’s regional economic growth based on panel data of all provinces in Indonesia during 1990–2015. By using spatial durbin model, the authors found that spatial dependence plays an important role in achieving regional economic growth in Indonesia. Indonesia’s regional economic growth model that controls spatial dependence, yields better estimates than growth model that does not control spatial dependence. The researchers also found positive spatial spillover to Indonesia’s regional economic growth sourced from other region’s economic growth and initial per capita incomes, as well as population growth in other regions. ============================ Penelitian ini bertujuan untuk mengkaji peranan ketergantungan spasial terhadap pertumbuhan ekonomi regional Indonesia berdasarkan data panel seluruh provinsi di Indonesia selama tahun 1990–2015. Dengan menggunakan model durbin spasial, penulis menemukan bahwa ketergantungan spasial berperan penting dalam pencapaian pertumbuhan ekonomi regional di Indonesia. Model pertumbuhan ekonomi regional Indonesia yang mengontrol ketergantungan spasial menghasilkan estimasi yang lebih baik daripada model pertumbuhan ekonomi regional Indonesia yang tidak mengontrol ketergantungan spasial. Peneliti jugamenemukan terjadinya spatial spillover yang positif terhadap pertumbuhan ekonomi regional Indonesia yang bersumber dari pertumbuhan ekonomi wilayah lain, pendapatan per kapita awal dari wilayah lain dan pertumbuhan penduduk wilayah lain.

MOTIVATING FACTORS OF REMITTANCES INFLOWS INTO DEVELOPING ASIAN ECONOMIES

2016 ◽  
Vol 61 (04) ◽  
pp. 1550063 ◽  
Author(s):  
HRUSHIKESH MALLICK ◽  
MANTU KUMAR MAHALIK
Keyword(s):  
Growth Rate ◽  
Interest Rate ◽  
Capita Income ◽  
Financial Sector ◽  
Household Consumption ◽  
Motivating Factors ◽  
Host Countries ◽  
Panel Regressions ◽  
Per Capita ◽  
Interest Rate Differentials

Considering 11 major Asian migrant sending countries during 1975–2012, the study explores the factors that motivate migrants to remit their earnings to home countries. Using panel regressions, it finds that it is primarily the growth rate and interest rate differentials between the home and host, the household consumption and financial sector development at home along with per capita income of host countries which lead to remittances inflows. It concludes that it is not only the altruistic (or consumption) and higher interest income motives; but also the patriotic motives reflected from significant impact of past remittances, are crucial factors of such flows.

scholarly journals Human Capital and Regional Economic Growth in Russia

2021 ◽  
Vol 17 (2) ◽  
pp. 57-80
Author(s):  
Boris Alekhin
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Capital Accumulation ◽  
Positive Impact ◽  
Regional Economic Growth ◽  
Human Capital Accumulation ◽  
Regional Economic ◽  
Long Run ◽  
Per Capita

This study examines the contribution of human capital accumulation to regional economic growth using panel data for 82 subjects of the Russian Federation over 2002–2019. This paper aims to test the hypothesis that in the long-run equilibrium there exists a connection between economic growth and human capital accumulation in the regions of Russia. From the point of view of econometrics, it would mean that we should refute the hypothesis that there is no cointegration of time series describing the aforementioned variables. General theoretical framework was drawn from the neoclassical growth theory, and panel data econometrics suggested the appropriate empirical methodology. Pooled mean group and fully modified least squares estimators were applied to an autoregressive distributed lags model based on the Solow model. The results indicate that accumulation of human capital has a positive and statistically significant long-term impact on the rate of growth of per capita income and that these variables are cointegrated. Such calculations allow us to make the following conclusions: per capita GRP is cointegrated with physical and human capital on the regional level. The cointegrating equation ‘explained’ more than 90% of per capita GRP variance. Human capital accumulation had a significant positive impact on per capita GRP growth in the long run; such impact exceeded the impact of physical capital accumulation. The positive impact of human capital accumulation on per capita GRP growth surpassed the negative elasticity of growth GRP by the amount of resource excluded from the real sector to provide support to students and maintain the regional education system. The paces at which regional economies were heading towards the steady state differed which is an evidence that there exist an incredible manifold of ways and means for regions to adjust to disbalancies

scholarly journals Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods

2018 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Darman Saputra
Keyword(s):  
Panel Data ◽  
Local Governments ◽  
Capita Income ◽  
Oil And Gas ◽  
Random Effect ◽  
Least Square ◽  
Per Capita Income ◽  
Processing Industry ◽  
Factors Affecting ◽  
Per Capita

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.

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