Journal articles: 'Determinants of economic growth'

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Knack, Stephen, and Robert Barro. "Determinants of Economic Growth." Southern Economic Journal 65, no. 1 (July 1998): 185. http://dx.doi.org/10.2307/1061363.

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Kennedy, Peter, and John Sargent. "Economic Growth: Prospects and Determinants." Canadian Public Policy / Analyse de Politiques 13, no. 1 (March 1987): 121. http://dx.doi.org/10.2307/3550565.

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Bhattacharyya, Sambit. "Deep determinants of economic growth." Applied Economics Letters 11, no. 9 (September 2004): 587–90. http://dx.doi.org/10.1080/1350485042000228826.

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Bayaraa, Batchimeg. "Determinants of Mongolian Economic Growth." Applied Studies in Agribusiness and Commerce 12, no. 1-2 (May 2, 2018): 61–66. http://dx.doi.org/10.19041/apstract/2018/1-2/9.

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Mongolia is the second largest landlocked country, which has unique economic condition. This paper aims to examine Mongolian economic growth from 2000 until 2016 and identify its determinants. The growth was studied based on the growth rate of National Domestic Product. Initially, 20 macroeconomic variables are chosen and tested for the economic growth determinators such as; unemployment rate, human capital index, import growth, inflation rate, export growth, and interest rate, etc. The results showed that the growth rate of dollar exchange, inflation rate, and the growth rate of export were the main factors (81.4%). Mongolian GDP per capita and poverty rate were compared with other Asian lower-middle-economies, which are classified in the same classification as Mongolia. An increment of average salary was adjusted by the inflation rate, which showed the purchasing power declined in 2015. Statistics of Central Bank of Mongolia, Central Intelligence Agency, World Bank’s statistics, and the statistics from National Statistics Office of Mongolia are used for the research. JEL Classification: H0, H30, H6, H70

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Arifin, Nur Rachmat, Hawa’ Hidayatul Hikmiyah, and Hariyanto. "Determinants of Superpower Economic Growth." Iqtishodiyah : Jurnal Ekonomi dan Bisnis Islam 8, no. 1 (February 2, 2022): 68–82. http://dx.doi.org/10.55210/iqtishodiyah.v8i1.669.

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Countries in various parts of the world make economic growth the initial goal of achieving a country, one indicator used to view economic growth and one of which is the increase in Gross Domestic Product. GDP is the total value of the production of goods or services in a country for one year. This study aims to see what are the factors that influence the economic growth of the superpowers with exports, inflation, and exchange rates, and unemployment as the independent variable and GDP as the dependent variable. This research uses secondary data in the form of a combination of cross-sectional data and time series (panel data). The analytical method used is a panel data regression with a flat model model, covering six countries, namely America, China, India, Korea, Japan, and Thailand during the period 1991-2019. The results show that the Export variable, Exchange Rate, has a significant effect on GDP. Meanwhile, two independent variables, namely inflation, unemployment, did not have a significant effect on the dependent variable. Keyword: Export Superpower, Inflation, Exchange Rate, Unemployment

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Majumder, Shapan. "Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis." Independent Journal of Management & Production 13, no. 2 (April 1, 2022): 693–718. http://dx.doi.org/10.14807/ijmp.v13i2.1545.

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This study focuses on the scenario of the economic development of Bangladesh. The major objective of the study is to examine the economic and non-economic determinants of the economic growth of the country. This study employs the Multivariate OLS regression and GLM technique to explore the influences of those variables to the economic growth and development of the country. The empirical results show that agriculture, industry, and service sector contribution to real GDP are positive where industry and service sectors are statistically significant. The results of the economic determinant model illustrate that the capital, labor forces, imports, and total reserve of the country positively influence the economic development of the country which are significant also. The OLS estimation shows that coefficients of non-economic determinants such as control of corruption and bureaucratic quality are positively significant to influence the economy. The results also present that internal conflict, democratic accountability, and rule and order situation negatively affect the economic growth in Bangladesh. The GLM estimation shows the control of corruption, rule, and order also a positive effect on economic growth. These empirical findings are consistent with the exploratory analysis and practices.

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Kim, Sungwoo. "Socio-Economic Determinants of China’s Recent Economic Growth." Journal of Reviews on Global Economics 3 (April 10, 2014): 101–16. http://dx.doi.org/10.6000/1929-7092.2014.03.08.

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Phimphanthavong, Hatthachan. "Determinants of Economic Growth in Laos." British Journal of Economics, Management & Trade 4, no. 1 (January 10, 2014): 35–49. http://dx.doi.org/10.9734/bjemt/2014/3822.

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Welfe, Władysław. "Growth Determinants of Poland’S Economic Potential." IFAC Proceedings Volumes 34, no. 20 (September 2001): 341–48. http://dx.doi.org/10.1016/s1474-6670(17)33088-4.

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Nawatmi, Sri, Agung Nusantara, and Agus Budi Santosa. "Determinants of Regional Economics Growth." Media Ekonomi dan Manajemen 35, no. 1 (January 10, 2020): 52. http://dx.doi.org/10.24856/mem.v35i1.1208.

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<p>This study aims to determine what factors influence regional economic growth. The analysis technique used is to combine time series data and cross-section (pooling data). Time-series data from 2015 - 2017 and cross section data consisting of 34 provinces in Indonesia. The results of the model test using the redundant fixed effect test and random effect-Hausman test show that the best model is the fixed effect model (FEM). Regression results show that only the HDI (Human Development Index) variable is not significant, the other variables (fiscal decentralization, capital, and labor) have a significant positive effect on regional economic growth.</p>

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Abdalla, Mohamed Attaitalla, and Hisham H. Abdelbaki. "Determinants of Economic Growth in GCC Economies." Asian Journal of Research in Business Economics and Management 4, no. 11 (2014): 46. http://dx.doi.org/10.5958/2249-7307.2014.00972.4.

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Greenaway, David. "The Determinants of Economic Growth: Editorial Note." Economic Journal 102, no. 412 (May 1992): 598. http://dx.doi.org/10.2307/2234296.

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Iqbal, Zafar, and Ghulam Mustafa Zahid. "Macroeconomic Determinants of Economic Growth in Pakistan." Pakistan Development Review 37, no. 2 (June 1, 1998): 125–48. http://dx.doi.org/10.30541/v37i2pp.125-148.

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The main purpose of this paper has been to examine the effects of some of the key macroeconomic variables on Pakistan’s economic growth. Multiple regression framework is used to separate out the effects of key macroeconomic factors on growth over the period 1959-60 to 1996-97. The quantitative evidence shows that primary education to be an important prerequisite for accelerating growth. Similarly, increasing the stock of physical capital would help to contribute to growth. The empirical results also suggest that openness of Pakistan’s economy promotes economic growth. Alternatively, the budget deficit is negatively related to both output growth variables. The external debt is also negatively related to growth, suggesting that relying on domestic resources is the best alternative to finance growth. However, the results presented in this study reinforce the importance of sensible long-run growth-oriented policies to obtain sustainable growth.

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Shahbaz, Muhammad, Khalil Ahmad, and A. R. Chaudhary. "Economic Growth and Its Determinants in Pakistan." Pakistan Development Review 47, no. 4II (December 1, 2008): 471–86. http://dx.doi.org/10.30541/v47i4iipp.471-486.

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Economically developed countries have been able to reduce their poverty level, strengthen their social and political institutions, improve their quality of life, preserve natural environments and achieve political stability [Barro (1996); Easterly (1999); Dollar and Kraay (2002a); Fajnzylber, Lederman, et al. (2002)]. After the World War II, most of the countries adopted aggressive economic policies to improve the growth rate of real gross domestic product (GDP). The neoclassical growth models imply that during the evolution between steady states; technology, exogenous rate of savings, population growth and technical progress generate higher growth levels [Solow (1956)]. Endogenous growth model developed by Romer (1986) and Lucas (1988) argue that permanent increase in growth rate depends on the assumption of constant and increasing returns to capital.1 Similarly, Barro and Lee (1994) investigate the empirical association between human capital and economic growth. They seem to support endogenous growth model by Romer (1990) that highlight the role of human capital in economic activity. Fischer (1993) argues that long-term growth is negatively linked with inflation and positively correlated with better fiscal performance and factual foreign exchange markets. In the context of developing countries, investment both in capital and human capital, labour force, ability to adapt technological changes, open trade polices and low inflation are necessary for economic growth.

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Sheikh Ali, Ali Yassin, Mohamed Saney Dalmar, and Ali Abdulkadir Ali. "Determinants of Economic Growth: Evidence from Somalia." International Journal of Economics and Finance 9, no. 6 (May 25, 2017): 200. http://dx.doi.org/10.5539/ijef.v9n6p200.

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Somalia has suffered enormous instability and civil war in the last three decades, which have impacted the population as well as the economy of the country. Although Somalia is the one of the most impoverished and corrupt nations in the world, it has registered small growth in recent years. The people of Somalia are entrepreneurial by nature and have established business firms both outside and inside the country. This paper aims to investigate empirically the causal relationships between economic growth and variables such as exports (X), foreign aid (FA), government expenditure (GE), gross capital formation (GCF), and foreign direct investment (FDI). The unit root of the data was tested for all variables, and the variables were non-stationary in the level model but stationary in the first-difference model. The null hypothesis of no co-integration was rejected, and the tests revealed a causal relationship among the variables in the study. Four of the six explanatory variables were not statistically significant. Only the variables of GCF and FDI were statistically significant for economic growth.

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Zvarych, Roman. "DETERMINANTS OF ECONOMIC GROWTH IN DEVELOPING COUNTRIES." JOURNAL OF EUROPEAN ECONOMY Vol 17, Vol 17, No 1 (2018) (2018): 19–33. http://dx.doi.org/10.35774/jee2018.01.019.

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The research of the determinants of economic growth in developing countries is focused to assessing the prospects for the development of this group and its convergence with developed countries. The purpose of research is to identify the determinants of the economic growth of developing countries for the further development of conclusions on their development and convergence with developed countries. The object of research is the economic development of developing countries. The concept of development was investigated in the context of two general approaches, it were estimated its critical remarks and it were established historical links between industrialization and economic growth. It is defined the relationship between the growth rates of the developing countries, their deviations in per capita income and the share in world GDP. It is defined the place of developing countries in world industrial production and export and it is established the influence of industrialization on international trade and investment. It is investigated the degree of attraction of human and physical capital in the production of natural resources and added value. It is analyzed the world level of real wages and It is determined the extent of its promotion in the achievement of high end results of labor. It is estimated the inflation rate and its impact on the profitability of investment projects and it is defined the competitiveness of countries. It is formulated the conclusions on the development of developing countries and the prospects of their convergence with developed countries.

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Khan, Waseem Ahmad, Zohaib Khan Babar, Jawwad Hassan Jaskani, Muhammad Omair, Huzaifa Ameen, and Syeda Nudrat Sameen. "Determinants of Economic Growth Trends in Pakistan." International Journal of Accounting and Financial Reporting 1, no. 1 (August 6, 2014): 75. http://dx.doi.org/10.5296/ijafr.v4i2.6081.

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Purpose: The paper focuses on the determinants of economic growth in Pakistan. Methodology: For this purpose the composition of GDP is considered, and the analysis on three major variables is done on the basis of the data of last five years. The independent variables were exports, imports and government expenditure while dependent variable was GDP. Findings: There was a high significance result was found between government expenditure and GDP while the effect of exports and imports was less significant. This might be in contrast with the past researches due to the availability and analysis of limited span of time.

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Feyisa, Bulo, and Tadele Feyera. "Determinants of Recent Economic Growth in Ethiopia." International Journal of Industrial and Manufacturing Systems Engineering 5, no. 1 (2020): 6. http://dx.doi.org/10.11648/j.ijimse.20200501.12.

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Ciccone, Antonio, and Marek Jarociński. "Determinants of Economic Growth: Will Data Tell?" American Economic Journal: Macroeconomics 2, no. 4 (October 1, 2010): 222–46. http://dx.doi.org/10.1257/mac.2.4.222.

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Many factors inhibiting and facilitating economic growth have been suggested. Can agnostics rely on international income data to tell them which matter? We find that agnostic priors lead to conclusions that are sensitive to differences across available income estimates. For example, the PWT 6.2 revision of the 1960–1996 income estimates in the PWT 6.1 leads to substantial changes regarding the role of government, international trade, demography, and geography. We conclude that margins of error in international income estimates appear too large for agnostic growth empirics. (JEL O41, O47)

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Crespo-Cuaresma, Jesus, Neil Foster, and Robert Stehrer. "Determinants of Regional Economic Growth by Quantile." Regional Studies 45, no. 6 (June 2011): 809–26. http://dx.doi.org/10.1080/00343401003713456.

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Oyebowale, Adeola Y., and Amr S. Algarhi. "Macroeconomic determinants of economic growth in Africa." International Review of Applied Economics 34, no. 6 (July 16, 2020): 839–57. http://dx.doi.org/10.1080/02692171.2020.1792422.

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Lee, Jong-Wha, and Kiseok Hong. "Economic growth in Asia: Determinants and prospects." Japan and the World Economy 24, no. 2 (March 2012): 101–13. http://dx.doi.org/10.1016/j.japwor.2012.01.005.

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Anaman, Kwabena A. "Determinants of economic growth in Brunei Darussalam." Journal of Asian Economics 15, no. 4 (August 2004): 777–96. http://dx.doi.org/10.1016/j.asieco.2004.05.019.

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Madden, Gary, and Grant Coble-Neal. "Economic determinants of global mobile telephony growth." Information Economics and Policy 16, no. 4 (December 2004): 519–34. http://dx.doi.org/10.1016/j.infoecopol.2003.05.001.

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Naftaly, Gisore Mose. "Determinants of regional economic growth in Kenya." African Journal of Business Management 15, no. 1 (January 31, 2021): 1–12. http://dx.doi.org/10.5897/ajbm2020.9118.

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Azizia, Mohammad Ilham. "DETERMINANTS OF FEMALE WORKERS ON ECONOMIC GROWTH." Jurnal Ekonomi dan Bisnis Airlangga 31, no. 1 (May 6, 2021): 40. http://dx.doi.org/10.20473/jeba.v31i12021.40-50.

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Introduction: This study aims to find out what influences the Provincial Economic Growth in the Java Island if seen from female workers through the some variables, namely life expectancy of female, female's income contributions, and female as professionals.Methods: In this study using secondary data for 8 years from 2011 - 2018. The data analysis method used in this study is panel data regression analysis method. There are independent variables consisting of female's life expectancy, female's income contribution, and female as professionals. While the dependent variable is economic growth.Results: Based on the results of this study, it can be concluded that life expectancy has no significant effect on economic growth. The contribution of female's income has a significant effect on economic growth. Female as professionals has an insignificant effect on economic growth.Conclusion and suggestion: The central or regional government, the ministry of manpower and the ministry of female's empowerment and child protection or related institution to conduct training and human resource development for female by means of development activities in creating employment expansion, improving the quality of productive workforce and increasing the welfare of the workforce.

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Dobronogov, Anton, and Farrukh Iqbal. "Economic Growth in Egypt: Constraints and Determinants." Journal of African Development 9, no. 1 (April 1, 2007): 31–66. http://dx.doi.org/10.5325/jafrideve.9.1.0031.

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Egypt accelerated its ongoing transition from a public sector dominated economy to a private sector led and market oriented economy after the collapse of oil prices in the mid-1980s. Some aspects of the economy, such as trade policy, have been substantially transformed since then whereas other aspects, such as public control of the financial sector, have experienced less change in substance. We examine some determinants of growth in Egypt since the mid-1980s using insights from both standard econometric techniques and a diagnostic approach proposed by Hausmann, Rodrik and Velasco (2004). We find that trends in government consumption, credit to the private sector and the average growth rate of OECD countries have been significant determinants of growth in Egypt in the past. We also present evidence that suggests that inefficiency of financial intermediation is a significant current constraint on growth.

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Ristanović, Vladimir, Nikola Tasić, and Ivan Nikolić. "Determinants of economic growth in the pre-crisis period." Industrija 46, no. 3 (2018): 133–43. http://dx.doi.org/10.5937/industrija46-18540.

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Căutişanu, Cristina, and Mariana Hatmanu. "Comparative analysis of economic growth determinants in Romania and Central and Eastern European countries." Proceedings of the International Conference on Applied Statistics 1, no. 1 (October 1, 2019): 162–70. http://dx.doi.org/10.2478/icas-2019-0014.

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Abstract Economic growth is one of the most studied topics in the literature in the field due to its significant role in the development of each country. Studies divide economic determinants into two categories based on their influence on economic growth: endogenous and exogenous. The study aims to estimate economic growth against two types of determinants for Romania and Central and Eastern European countries using data for 1995-2017 in order to compare the two cases. For Romania, we used time series specific methods (e.g. stationarity checking using Augmented Dickey-Fuller test, OLS model). In case of Central and Eastern European countries, we employed methods specific for panel data (e.g. estimation of the OLS general model, fixed effects model, random effects model, and feasible generalized least squares model). The results showed that in Romania, in the studied period, only the exogenous determinants (e.g. high technology exports) have a significant influence on economic growth, while Central and Eastern European countries were influenced by both types of determinants (e.g. life expectancy, foreign direct investments). In case of Romania, foreign direct investment did not represent a significant determinant for economic growth during 1995-2017 due to slower transition from communist regime to market economy.

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Pinto, Pablo M., and Jeffrey F. Timmons. "The Political Determinants of Economic Performance." Comparative Political Studies 38, no. 1 (February 2005): 26–50. http://dx.doi.org/10.1177/0010414004270886.

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The authors present and test a theory about the effects of political competition on the sources of economic growth. Using Mankiw, Romer, and Weil’s model of economic growth and data for roughly 80 countries, the authors show that political competition decreases the rate of physical capital accumulation and labor mobilization but increases the rate of human capital accumulation and (less conclusively) the rate of productivity change. The results suggest that political competition systematically affects the sources of growth, but those effects are cross-cutting, explainingwhy democracy itself may be ambiguous. These findingshelp clarify the debate about regime type and economic performance and suggest new avenues for research.

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Khayyat, Nabaz T., and Sherwan Kafoor. "Economic Growth of Asia Pacific Countries." UKH Journal of Social Sciences 2, no. 1 (June 30, 2018): 52–60. http://dx.doi.org/10.25079/ukhjss.v2n1y2018.pp52-60.

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This empirical study examines the determinant of economic growth among Asia Pacific countries. While many other studies focused on specific economies with particular determinants identified from previous studies, this study expands the boundaries of countries to examine different factors that are expected to affect the economic growth in Asia Pacific countries. Estimation results of this study are based on the analysis of a panel data for the period 1994–2011. The impact of total population, industry share of GNI, interest rate, gross fixed capital formation, and tax rate are statistically examined to be strongly significant for the whole sample. In the case of government expenditure and trade openness, they are examined to be significant to some degree. Finally, though human capital is expected to be the main driver of economic growth, the result from correlation analysis revealed that there is a high correlation between expenditure on education and health. To show the impact of human capital on economic growth in Asia Pacific countries, estimation with years of schooling may enhance the study instead of using expenditure on education and health.

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Ding, Yue, Jian Ming Cai, and Zheng Shan Yang. "Economic Growth Factor Detection of National-Level Economic and Technological Development Zones in China." Advanced Materials Research 1073-1076 (December 2014): 1341–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.1341.

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The economic growth of National level Economic and Technological Development Zones (NETDZs) affects the sustainable development of NETDZs and their host cities a lot in China. Determinants and mechanism of NETDZs’ economic growth in 2010 is detected by geographical detector. There is a U-shaped spatial pattern by NETDZs’ economic growth rates among the Eastern, Central and Western China. The result of factor detection showed that the top 5 determinants of NETDZs’ economic growth are regionally different in China. External factors are more powerful in Eastern China, while internal factors of NETEZs dominate the economic growth of NETDZs more in Central and Western China. Besides revealing determinants, these results show two universal policy mistakes: blindly lowing land price and encouraging high technology industry, which are proved not effective in prompting the development of NETDZs, but inducing serious problems. Therefore, NETDZs’ economic growth policies should be made and adjusted following the regional determinants and mechanism in different regions and development stages, what’s more, policy mistakes reflected by factor detection should be avoided as well.

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Storonyanska, I. Z., and L. Y. Benovska. "The Determinants of Economic Growth of Regions in the Newest Economic Theories." Business Inform 10, no. 513 (2020): 118–27. http://dx.doi.org/10.32983/2222-4459-2020-10-118-127.

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None of the existing theories of economic growth of regions has by now offered any opportunity for a complete solution to the problems. New realities of our time require new scientific approaches to substantiating the economic growth of regions, searching for determinants, leverages, principles. The article is aimed at theoretical-methodological substantiation for the economic growth of regions in modern conditions, defining the main determinants and principles of growth. Based on the analysis of the newest theories of economic growth of regions, it is stated that the main determinants of economic growth of regions in today’s conditions are a person with its human capital; the innovations that provide a breakthrough; informatization of all social and economic processes of society. A change in the emphasis of human capital has been made: if in the past attention has been focused on its educational component, then in modern conditions, knowledge, talent, creativity come to the fore. The emphasis in innovation development is the need for symbiosis of innovations and competitive advantages of territories. The peculiarity of the development of regions in modern conditions is their orientation to internal factors and the mechanisms of economic development, because economic growth is generated within the system. There was also a shift of emphasis from a stable development of regions to inclusive, which, in addition to the ecological component, takes into account the need to involve all members of society into solving problems of all territories. The determinants, goals, principles and levers of economic growth of regions are allocated in terms of the newest economic theories.

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Simionescu, Mihaela. "What Drives Economic Growth in Some CEE Countries?" Studia Universitatis „Vasile Goldis” Arad – Economics Series 28, no. 1 (March 1, 2018): 46–56. http://dx.doi.org/10.2478/sues-2018-0004.

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Abstract Considering the potential factors that might generate economic growth, a target for any economy, this paper identified some determinants of economic growth in the countries from Central and Eastern Europe (CEE countries) that are member states of the European Union. The foreign direct investment was the most important determinant of economic growth in most of the countries (Bulgaria, Slovenia, Estonia, Hungary, Romania, Poland, Latvia, Lithuania) in the period 2003-2016, according to Bayesian bridge regressions. The indicators related to the level and the quality of labour resources proved to be insignificant in explaining the economic growth in these countries. Moreover, in Croatia, Estonia, Latvia, Lithuania, and Poland, the government expenditure on education had a negative effect on economic growth.

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Hidayat, Ibnu, Sri Mulatsih, and Wiwiek Rindayati. "The Determinants of Inclusive Economic Growth in Yogyakarta." Jurnal Economia 16, no. 2 (October 30, 2020): 200–210. http://dx.doi.org/10.21831/economia.v16i2.29342.

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Abstract: Inclusive economic growth is related to how economic growth achieved can reduce poverty, income inequality, and unemployment. The purpose of this study is to analyze factors that influence inclusive economic growth in Yogyakarta. This study used panel data from 2011 to 2017. Estimation of the model (simultaneous equations) used the Two-Stage Least Square (2SLS) method. The result of the analysis showed that Factors that have a positive impact on inclusive economic growth are household consumption, exports of service/goods, foreign investment, domestic investment, per capita income, and average length of year of study. Whereas the negative influence is the level of open unemployment and imports of service/goods. An increase in household consumption by 2% willincrease gross regional domestic product by 1.5%, decrease the open unemployment rate by 3.0%, decrease poverty by 10.7%, and decrease income inequality by 5.5%.Keywords: inclusive economic growth. simultaneous equations. 2SLS Faktor-Faktor yang Mempengaruhi Pertumbuhan Ekonomi Inklusif di YogyakartaAbstrak: Pertumbuhan ekonomi dikatakan inklusif jika memberi manfaat bagi masyarakat bawah seperti dapat mengurangi kemiskinan, ketimpangan pendapatan, dan pengangguran. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi pertumbuhan ekonomi inklusif di Daerah Istimewa Yogyakarta. Penelitian ini menggunakan data panel dari tahun 2011 hingga tahun 2017. Estimasi model (persamaan simultan) menggunakan metode Two Stage Least Square (2SLS). Analisis menunjukkan bahwa faktor-faktor yang memiliki pengaruh positif terhadap pertumbuhan ekonomi inklusif adalah konsumsi rumah tangga, ekspor barang/jasa, investasi asing, investasi domestik, pendapatan perkapita, dan rata-rata lama sekolah. Sedangkan pengaruh negatifnya adalah tingkat pengangguran terbuka dan impor barang/jasa. Peningkatan konsumsi rumah tangga sebesar 2% akan meningkatkan produk domestik regional bruto sebesar 1.5%, menurunkan tingkat pengangguran terbuka sebesar 3.0%, menurunkan kemiskinan sebesar 10.7% dan menurunkan ketimpangan pendapatan sebesar 5.5%.Kata kunci: pertumbuhan ekonomi inklusif. persamaan simultan. 2SLS

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Gernego, Yu O., O. M. Dyba, and L. A. Petrenko. "DETERMINANTS OF INNOVATIVE ACTIVITIES CONSERNING SOCIO-ECONOMIC GROWTH." Financial and credit activity: problems of theory and practice 3, no. 30 (September 30, 2019): 445–53. http://dx.doi.org/10.18371/fcaptp.v3i30.179825.

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Komkov, Nikolaj I., Mihail N. Dudin, and Nikolaj V. Lyasnikov. "QUALITY OF NATIONAL ECONOMIC GROWTH: FACTORS AND DETERMINANTS." M.I.R. (Modernization. Innovation. Reseches) 6, no. 2 (2015): 116–28. http://dx.doi.org/10.18184/2079-4665.2015.6.2.116.128.

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Armstrong, Harvey W., and Robert Read. "The determinants of economic growth in small states." Round Table 92, no. 368 (January 2003): 99–124. http://dx.doi.org/10.1080/750456745.

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Cuaresma, Jesús Crespo, Gernot Doppelhofer, and Martin Feldkircher. "The Determinants of Economic Growth in European Regions." Regional Studies 48, no. 1 (June 7, 2012): 44–67. http://dx.doi.org/10.1080/00343404.2012.678824.

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Essang Esu, Godwin. "Determinants of Economic Growth in Nigeria: Population Perspective." Journal of World Economic Research 5, no. 4 (2016): 31. http://dx.doi.org/10.11648/j.jwer.20160504.12.

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ARMSTRONG, HARVEY W., and ROBERT READ. "THE DETERMINANTS OF ECONOMIC GROWTH IN SMALL STATES." Round Table 368 (January 1, 2003): 99–124. http://dx.doi.org/10.1080/00358530309635.

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Mariyono, Joko, and Eko N. M. Saputro. "Political Determinants of Regional Economic Growth in Indonesia." Asia Pacific Journal of Public Administration 31, no. 1 (June 2009): 39–56. http://dx.doi.org/10.1080/23276665.2009.10779355.

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PIAZOLO, MARC. "DETERMINANTS OF SOUTH KOREAN ECONOMIC GROWTH, 1955–1990." International Economic Journal 9, no. 4 (December 1, 1995): 109–33. http://dx.doi.org/10.1080/10168739500080032.

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Dieckmann, Oliver. "Cultural determinants of economic growth: Theory and evidence." Journal of Cultural Economics 20, no. 4 (December 1996): 297–320. http://dx.doi.org/10.1007/s10824-005-7320-0.

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Bruns, Stephan B., and John P. A. Ioannidis. "Determinants of economic growth: Different time different answer?" Journal of Macroeconomics 63 (March 2020): 103185. http://dx.doi.org/10.1016/j.jmacro.2019.103185.

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AINajjar, Fouad K. "Economic Freedom and Macroeconomic Determinants of Economic Growth: Cross‐Country Evidence." Review of Accounting and Finance 1, no. 3 (March 2002): 74–84. http://dx.doi.org/10.1108/eb026992.

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Resende, Guilherme Mendes. "Spatial Dimensions of Economic Growth in Brazil." ISRN Economics 2013 (January 31, 2013): 1–19. http://dx.doi.org/10.1155/2013/398021.

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The contribution of this paper is to explore time and spatial scale dimensions of economic growth in Brazil using alternative panel data techniques to provide a measure of the extent of spatial autocorrelation (in kilometres) over three decades (1970–2000) as well as discussing the determinants of economic growth at a variety of geographic scales (minimum comparable areas, micro-regions, meso-regions, and states). The magnitude and statistical significance of growth determinants such as schooling, population density, population growth, and transportation costs are dependent on the scale of analysis. Moreover, the extent of residual spatial autocorrelation showed that it seems to vary across spatial scales. Indeed, spatial autocorrelation seems to be bounded at the state level and it shows positive and statistically significant values across distances of more than 1,500 kilometres at the other three spatial scales. Among other results, the study suggests that the nonspatial panel data techniques are not able to deal with spatially correlated omitted variables across different spatial scales, except for the state level where nonspatial panel data models seem to be appropriate to investigate growth determinants and convergence process in the Brazilian states case.

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Amjad, Faiza, and Naheed Zia Khan. "External Determinants of Growth and Growth Projections: SAARC and Pakistan." Pakistan Development Review 43, no. 4II (December 1, 2004): 737–55. http://dx.doi.org/10.30541/v43i4iipp.737-755.

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The world is increasingly being divided into regions. The regional trading blocs are becoming more and more deepened and widened around the globe. The European Union (EU) has already reached a stage approximating to the trading relations usually found within a country rather than between the countries. The existence of regional economic groups, particularly in European and American continents, pose a range of theoretical, empirical and organisational questions for developing countries like Pakistan who depend on the countries of these regions for a significantly high share of their international trade. This paper focuses on the prospects of extended economic cooperation of Pakistan with the member countries of the South Asian Association for Regional Cooperation (SAARC).1 The argument is structured around three parts. Part I reviews the theoretical rationale of regional economic cooperation and the recent developments shaping the trading relations within the cooperating blocs. Part II critically evaluates the relative size and significance of the external sector of the SAARC region countries, along with presenting statistical estimates of the major external determinants of the region’s economic growth. Finally, Part III estimates the relationship of major directions of Pakistan’s exports with the economic growth of the country and presents the growth projections by increasing and diverting the exports to the SAARC and ASEAN region countries.

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Sadiku, Luljeta, Murat Sadiku, and Violeta Madzova. "AN EMPIRICAL ANALYSIS OF DETERMINANTS OF ECONOMIC GROWTH OF REPUBLIC OF NORTH MACEDONIA." Knowledge International Journal 31, no. 1 (June 5, 2019): 49–53. http://dx.doi.org/10.35120/kij310149s.

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Every country’s aim is to reach prosperous, innovative, competitive and dynamic knowledge- based economy with sustainable economic growth capable for providing higher standards of living to its population. The rise of GDP in real terms entails enlargement of economic resources that not only meets the current economic needs but also affords a better future for next generations. In fact, a key determinant of economic growth is investment, both in physical and human capital, having influence on the improvement of competitiveness, employment and productivity, which in turn contribute to GDP growth. However, during the last decade North Macedonia features with a remarkable upsurge of concern about sustainability of economic growth. Thus, the main goal of this paper is to empirically analyze the main determinants that promote the economic growth of the country. For that purpose quarterly data are utilized for the time period 1999Q1-2017Q4. The research method consists to the time series econometric techniques, using Vector Error Correction Method (VECM) and Johansen co-integration test for investigating both short term and long term determinants.

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Chirwa, Themba G., and Nicholas M. Odhiambo. "Macroeconomic Determinants of Economic Growth: A Review of International Literature." South East European Journal of Economics and Business 11, no. 2 (December 1, 2016): 33–47. http://dx.doi.org/10.1515/jeb-2016-0009.

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AbstractThe paper conducts a qualitative narrative appraisal of the existing empirical literature on the key macroeconomic determinants of economic growth in developing and developed countries. Much as other empirical studies have investigated the determinants of economic growth using various econometric methods, the majority of these studies have not distinguished what drives or hinders economic growth in developing or developed countries. The study finds that the determinants of economic growth are different when this distinction is used. It reveals that in developing countries the key macroeconomic determinants of economic growth include foreign aid, foreign direct investment, fiscal policy, investment, trade, human capital development, demographics, monetary policy, natural resources, reforms and geographic, regional, political and financial factors. In developed countries, the study reveals that the key macroeconomic determinants that are associated with economic growth include physical capital, fiscal policy, human capital, trade, demographics, monetary policy and financial and technological factors.

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Journal articles on the topic 'Determinants of economic growth'

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