Academic literature on the topic 'Determinants of economic growth'

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Journal articles on the topic "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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Dissertations / Theses on the topic "Determinants of economic growth"

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Hori, Katsuhiko. "Determinants of Economic Growth." Kyoto University, 2009. http://hdl.handle.net/2433/124105.

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Navajas, Alvaro Ruiz. "Socio-political determinants of economic growth." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499872.

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Petkov, Ivan. "Essays on Local Determinants of Economic Growth." Thesis, Boston College, 2016. http://hdl.handle.net/2345/bc-ir:106789.

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Thesis advisor: Fabio Schiantarelli
The fundamental concept unifying this thesis is that outcomes at small geographical units can shed light on key economic questions of interest for both macroeconomics and finance. Some of the questions I explore in my work include whether bank networks facilitate access to financial capital by small businesses in the US, whether lending to small businesses is important for short-term economic growth, and whether different cultural and institutional endowments improve economic outcomes in the long run.\\ Small Business Lending and the Bank-Branch Network: In this chapter, I examine the role of banks in propagating local economic shocks from one area to another through their network of bank branches, by exploiting a newly developed branch-level dataset. Specifically, I examine the change in the geographical distribution of small business loans within each bank network in response to: 1) increases in deposit growth due to presence in areas with new fracking wells; 2) changes in the profitability of real estate loans due to presence in areas experiencing real estate booms. I evaluate how the supply-driven changes in lending following these shocks impact real economic activity. I find that banks export the increase in liquidity from the fracking areas and fund more small business loans at other, more distant branches. Borrowers from banks with a higher exposure to fracking experience faster establishment growth at areas beyond 100 miles from the fracking activity. The results for the real estate booms show that increases in the return of real estate loans contributed to a decrease in small business lending at branches away these booms. Borrowers from banks with high exposure to residential appreciation experienced slower establishment growth even within areas at a significant distance from the real estate booms.\\ Does It Matter Where You Came From? Ancestry Composition and Economic Performance of US Counties, 1850 - 2010: The United States provides a unique laboratory for understanding how the cultural, institutional, and human capital endowments of immigrant groups shape economic outcomes. In this paper, we use census micro-samples to reconstruct the country-of-ancestry composition of the population of US counties from 1850 to 2010. We also develop a county-level measure of GDP per capita over the same period. Using this novel panel data set, we show that the evolution of the country-of-origin composition of a county is significantly associated with changes in county-level GDP. The cultural, institutional, and human capital endowments from the country of origin drive this association. Particularly important are attitudes towards cooperation with others. Using an instrumental variable strategy, we identify a significant effect of changes in the ancestry-weighted endowments on economic development. Finally, our results suggest that while the fractionalization of ancestry groups is positively related to county GDP, fractionalization in attributes such as trust is negatively related to local economic performance. \\ Culture: Persistence and Evolution: This paper presents evidence on the speed of evolution (or lack thereof) of a wide range of values and beliefs of different generations of European immigrants to the US and interprets the evidence in the light of a simple model of socialization and identity choice. The main result is that persistence differs greatly across cultural attitudes. For instance, many family values, political orientation, and most deep personal religious values converge slowly to the prevailing US norm. Others, such as attitudes toward cooperation, children's independence, and sexual matters, converge rather quickly. The results obtained studying higher generation immigrants differ greatly from those found when the analysis is limited to the second generation, as typically done in the literature, and they imply a lesser degree of persistence than previously thought. Finally, we show that persistence is ``culture specific'' in the sense that the country from which one's ancestors came matters for the pattern of generational convergence
Thesis (PhD) — Boston College, 2016
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
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Ncube, Trinity M. "Determinants of Economic Growth-The Case of Zimbabwe." Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/30480.

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The paper investigated the determinants of economic growth in Zimbabwe over the period 1980 to 2017 drawing from previously identified factors as discussed in international literature which had been acknowledged as important determinants. The variables included human capital, gross fixed capital formation, unemployment, inflation and government expenditure. The study employed Unit Root Tests. The Auto Regressive Distributed Lag model was used to examine the mixed variable while the Ordinary Least Squares model and the Johansen test were used to examine all stationary and non-stationary variables respectively. In the case of co-integration, the Error Correction Model and the Causality test were run. Ultimately, the results indicated that in the long-run gross fixed capital formation has a positive influence on economic growth while human capital development has a negative influence. ECM found that in the short run there is a positive relationship between lags of economic growth, government expenditure, inflation and human capital with economic growth.
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Hofmarcher, Paul, Cuaresma Jesus Crespo, Bettina Grün, and Kurt Hornik. "Fishing Economic Growth Determinants Using Bayesian Elastic Nets." WU Vienna University of Economics and Business, 2011. http://epub.wu.ac.at/3213/1/Report113.pdf.

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We propose a method to deal simultaneously with model uncertainty and correlated regressors in linear regression models by combining elastic net specifications with a spike and slab prior. The estimation method nests ridge regression and the LASSO estimator and thus allows for a more flexible modelling framework than existing model averaging procedures. In particular, the proposed technique has clear advantages when dealing with datasets of (potentially highly) correlated regressors, a pervasive characteristic of the model averaging datasets used hitherto in the econometric literature. We apply our method to the dataset of economic growth determinants by Sala-i-Martin et al. (Sala-i-Martin, X., Doppelhofer, G., and Miller, R. I. (2004). Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach. American Economic Review, 94: 813-835) and show that our procedure has superior out-of-sample predictive abilities as compared to the standard Bayesian model averaging methods currently used in the literature. (authors' abstract)
Series: Research Report Series / Department of Statistics and Mathematics
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Crespo, Cuaresma Jesus, Gernot Doppelhofer, and Martin Feldkircher. "The determinants of economic growth in European regions." Routledge by Taylor & Francis Group, 2014. http://epub.wu.ac.at/3715/1/REGSTUD.pdf.

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This paper uses Bayesian Model Averaging (BMA) to find robust determinants of economic growth in a new dataset of 255 European regions between 1995 and 2005. The paper finds that income convergence between countries is dominated by the catching-up of regions in new member states in Central and Eastern Europe (CEE), whereas convergence within countries is driven by regions in old EU member states. Regions containing capital cities are growing faster, particularly in CEE countries, as do regions with a large share of workers with higher education. The results are robust to allowing for spatial spillovers among European regions.
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Sipuka, Msingathi. "Determinants of economic growth in China: 1978-2013." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/11181.

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On 1 October 1949, the Communist Party of China under the leadership of Mao Zedong proclaimed the establishment of the People’s Republic of China. Mao was to lead the People’s Republic of China for the next twenty seven years until his death in 1976. During this twenty seven year period under Mao’s leadership the Communist Party of China consolidated its position as the leader of Chinese society and in so doing consolidated communist ideology as the central perspective that guided social and economic planning in China. In 1978, two years after Mao’s death, Deng Xiaping assumed the leadership of the Communist Party of China and this period marked the beginning of far reaching economic and social reforms in China. Over the next thirty years these reforms were to transform China’s economy from the tenth largest to the second largest in the world by the end of 2013. During this period China grew its manufacturing base to the extent that the country has become the world’s largest manufacturer and the world’s leading exporter. This transformation of China’s economy has translated to the country experiencing a period of high levels of economic growth over a sustained period of over 30 years. Estimates suggest that the country’s gross domestic product grew at an average annual rate of nearly 10% over a thirty year period from 1978. These high levels of economic growth have significantly contributed to the overall reduction of poverty levels in the country, with some estimates suggesting that between 300 million to 500 million of the country’s citizens have been lifted out of poverty over a period of thirty years. China’s economic growth has had an impact beyond its own borders, as growth in many developing countries has been inextricably linked to developments in the Chinese economy in particular its demand for raw materials.For developing countries that continue to grapple with high levels of poverty among its citizens, China’s experience of lifting such large numbers of its own citizens out of poverty at the back of high levels of economic growth over a period of thirty years must serve as a basis for some learnings. The primary purpose of this research is aimed at contributing towards building the basis for such learnings, particularly with regards to building an understanding of how China has been able to grow its economy at such high levels over a sustained period of time. This research aims to identify the determinants of China’s growth post 1978. The determinants of growth are studied particularly from 1978 because the year marks the beginning of the period of economic reforms.
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Castro, José Luis. "Determinants of the Economic Growth in Mexico : An Exogenous Growth Model." Thesis, Jönköping University, JIBS, Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-7369.

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This bachelor thesis aims to uncover the determinants of the economic growth in Mexico with an exogenous growth model. The study is based in an Augmented Solow Model em-ployed by Mankiw, Romer and Weil in

"A contribution to the Empirics of the Economic Growth" (1992). The model uses annual data of Mexico from 1960-2007 and the regressions and tests are developed in the econometric package Stata 10 for eight different periods. The thesis not only uses the Effective Labour and Physical Capital as Inputs in the production Function, but also employs the variable of Human Capital as an economic determinant of growth in the production function. The results of the model correspond with the actual scenario in Mexico; more weight to the Effective Labour (76.34%) rather than to Human Capital (2.12%) or Physical Capital (21.54%) as determinants of growth.

 

 

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Cancado, Luciana P. "Economic Growth: Panel Data Evidence from Latin America." Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1127143858.

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Andersson, Guadalupe. "Determinants of economic growth across Sweden : An analysis of exogenous and endogenous economic growth and convergence." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-89291.

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The purpose of this study is to examine the exogenous and endogenous growth theories in order to determine the factors that generate economic growth across the Swedish national areas during2000-2016. This analysis is made through the estimation of the Solow model, the augmented Solow model and the Romer model using the econometric methods fixed effects and random effects. Moreover, a convergence analysis across these Swedish regions is presented in this research, which is carried out using a random effects model. The results indicate that investment explains 94 percent of the variation in regional income per capita when random effects and regional time trends are taken into account. This finding suggests that investment is the determinant of economic growth in the short run, which is consistent with the predictions of the Solow model and the exogenous growth theory. Furthermore, the estimation of the Romer model yields misleading results, which are not consistent with the predictions of the endogenous growth theory. Nevertheless, the fact that the available dataset to study the Romer model is limited due to the difficulty of finding Swedish R&D data and the assumption that R&D is undertaken in the main offices of the firms typically situated in Stockholm, while the R&Dspillovers are used in production facilities in other regions of Sweden may be responsible for obtaining such inaccurate results. Additionally, the study of convergence reports that there is conditional convergence across the Swedish national areas during 2000-2016. This indicates that the differences in income per capita across these regions have decreased during the analysed period. 

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Books on the topic "Determinants of economic growth"

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Oosterbaan, M. S., Thijs De Ruyter Van Steveninck, and N. Van Der Windt, eds. The Determinants of Economic Growth. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4483-8.

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Anaman, Kwabena Asomanin. Determinants of economic growth in Ghana. Accra: Institute of Economic Affairs, 2006.

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Heshmati, Almas, ed. Determinants of Economic Growth in Africa. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76493-1.

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Anaman, Kwabena Asomanin. Determinants of economic growth in Ghana. Accra: Institute of Economic Affairs, 2006.

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Mata, Daniel Da. Determinants of city growth in Brazil. [Washington, D.C: World Bank, 2005.

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J, Barro Robert. Determinants of economic growth: A cross-country empirical study. Cambridge, MA: National Bureau of Economic Research, 1996.

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Determinants of economic growth: A cross-country empirical study. Cambridge, Mass: The MIT Press, 1997.

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Moral-Benito, Enrique. Determinants of economic growth: A Bayesian panel data approach. [Washington, D.C: World Bank, 2009.

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Easterly, William Russell. Policy determinants of growth: Survey of theory and evidence. Washington, DC (1818 H St., NW, Washington 20433): Country Economics Dept., World Bank, 1989.

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Ojo, Oladeji O. Policy determinants of long-term growth: Some African results. [Abidjan, Côte d'Ivoire]: African Development Bank, 1991.

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Book chapters on the topic "Determinants of economic growth"

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Kim, Tai-Yoo, Seunghyun Kim, and Jongsu Lee. "Determinants of Economic Divergence Among Accelerating Societies." In Economic Growth, 85–162. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40826-7_4.

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Keely, Louise C., and Danny Quah. "Technology in growth." In The Determinants of Economic Growth, 75–106. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4483-8_4.

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Lakhera, Mohan L. "Determinants of Economic Growth in Developing Economies." In Economic Growth in Developing Countries, 24–55. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137538079_2.

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Lal, Deepak. "Institutional development and economic growth." In The Determinants of Economic Growth, 165–208. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4483-8_6.

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Shachmurove, Yochanan. "Determinants of Economic Growth in Israel." In Economic Miracles in the European Economies, 99–121. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05606-3_6.

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Rebelo, Sergio. "On the Determinants of Economic Growth." In Contemporary Economic Issues, 138–56. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-26072-0_7.

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de Ruyter van Steveninck, Thijs, Nico van der Windt, and Maaike Oosterbaan. "Introduction." In The Determinants of Economic Growth, 1–12. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4483-8_1.

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Barro, Robert J. "Recent developments in endogenous growth theory." In The Determinants of Economic Growth, 13–38. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4483-8_2.

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Easterly, William. "The joys and sorrows of openness: A review essay." In The Determinants of Economic Growth, 39–73. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4483-8_3.

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Fry, Maxwell J. "Financial markets, financial flows, and economic growth in LDCs." In The Determinants of Economic Growth, 107–64. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4483-8_5.

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Conference papers on the topic "Determinants of economic growth"

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Yuliadi, Imamudin, Anita Fitria R, and Dessy Rachmawatie. "Economic Growth Determinants in Selected ASEAN Countries." In International Conference on Sustainable Innovation Track Accounting and Management Sciences (ICOSIAMS 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.211225.009.

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Pokrivčák, Ján, and Tomáš Záhorský. "Economic growth and its determinants across CEE countries." In International Scientific Days 2016 :: The Agri-Food Value Chain: Challenges for Natural Resources Management and Society. Slovak University of Agriculture in Nitra, Slovakia, 2016. http://dx.doi.org/10.15414/isd2016.s12.07.

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Gerni, Mine, Ömer Selçuk Emsen, Dilek Özdemir, and Özge Buzdağlı. "Determinants of Corruption and their Relationship to Growth." In International Conference on Eurasian Economies. Eurasian Economists Association, 2012. http://dx.doi.org/10.36880/c03.00406.

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Corruption defined as the exploitation of the public institute for personal benefit has displayed itself in many societies in different ways throughout the history. Lack of information regarding presence and pervasiveness of corruption in central planning economies has been removed as a result of a transition to free market economies and the phenomenon of corruption has begun to be examined through diverse angles. Thus, in this study, the determinants of corruption were investigated and corruption-growth relationship was examined between 2002 and 2010. As for the parameters believed to determine corruption, openness of economy, size of the public, economic freedom, political stability, GDP per capita, urbanization growth rate, inflation, EBRD and HDI index regarding education and health were taken into consideration. Investigation of the relationship between the CPI (Corruption index) and the aforementioned variables and corruption-growth relationship were analyzed by means of panel data analysis.
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Aziri, Elmi. "ECONOMIC GROWTH AND ITS DETERMINANTS IN REPUBLIC OF MACEDONIA." In 5th International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS SGEM2018. STEF92 Technology, 2018. http://dx.doi.org/10.5593/sgemsocial2018/1.3/s03.018.

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Mosikari, Teboho Jeremiah, Diteboho Lawrance Xaba, and Johannes Tshepiso Tsoku. "MACROECONOMIC DETERMINANTS OF ECONOMIC GROWTH IN BOTSWANA: THE KEYNESIAN APPROACH." In 24th International Academic Conference, Barcelona. International Institute of Social and Economic Sciences, 2016. http://dx.doi.org/10.20472/iac.2016.024.065.

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Samsuddin, M. Afdal, and Syamsul Amar. "Determinants of Economic Growth in Developing Countries of G20 Members." In The Fifth Padang International Conference On Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (PICEEBA-5 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.201126.021.

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Hartaty, Sri, F. Eka Jumarni, O. Anggeraini, and R. P. L. Vera. "Determinants of Economic Growth in South Sumatra in 2010 - 2018." In 4th Forum in Research, Science, and Technology (FIRST-T3-20). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/ahsseh.k.210122.020.

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Solak, Fahri, and Ercan Sarıdoğan. "The Determinants of Sustainable Economic Growth in the Central Asian Turkish Republics." In International Conference on Eurasian Economies. Eurasian Economists Association, 2011. http://dx.doi.org/10.36880/c02.00342.

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Sustainable economic growth is very important for sustainable welfare of society. In this context, it is vital to determine the factors affecting sustainable economic growth and to design economic policies for affecting sustainable economic growth. Main aim of this study is to investigate the determinants of sustainable economic growth and to recommend economic policies and strategies for selected Central Asian Turkish Republics, namely, Azerbaijan, Kazakhstan, Kyrgyzstan, Uzbekistan and Turkmenistan in order to achieve sustainable economic growth and development. The main result of the study is that the main source of economic growth of Turkish Republics depends on the natural resources, which is not enough for sustainable economic growth in the long run. For this reason, Turkish Republics should transform their economic structures from natural sources based economic growth into science-technology and innovation based and global competitiveness oriented economic growth path by designing economic policies for developing human capital, education, research and development, national industry strategy improving the business and investment environment for investors and eliminating structural and institutional problems.
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Brożek, Katarzyna. "Impact of Selected Determinants of Innovation on the Economic Growth of the Visegrad Group Countries." In Hradec Economic Days 2019, edited by Petra Maresova, Pavel Jedlicka, and Ivan Soukal. University of Hradec Kralove, 2019. http://dx.doi.org/10.36689/uhk/hed/2019-01-009.

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Hasbullah, Hasbullah, Wahyu Murti, Muhammad Jasin, and Yudhinanto Nugroho. "Determinants of Economic Growth and its Impact on Poverty in Lampung Province." In Proceedings of the First Multidiscipline International Conference, MIC 2021, October 30 2021, Jakarta, Indonesia. EAI, 2022. http://dx.doi.org/10.4108/eai.30-10-2021.2315855.

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Reports on the topic "Determinants of economic growth"

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Barro, Robert. Determinants of Economic Growth: A Cross-Country Empirical Study. Cambridge, MA: National Bureau of Economic Research, August 1996. http://dx.doi.org/10.3386/w5698.

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Putterman, Louis, and David Weil. Post-1500 Population Flows and the Long Run Determinants of Economic Growth and Inequality. Cambridge, MA: National Bureau of Economic Research, October 2008. http://dx.doi.org/10.3386/w14448.

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de Vries, Gaaitzen, Linda Arfelt, Dorothea Drees, Mareike Godemann, Calumn Hamilton, Bente Jessen-Thiesen, Ahmet Ihsan Kaya, Hagen Kruse, Emmanuel Mensah, and Pieter Woltjer. The Economic Transformation Database (ETD): content, sources, and methods. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-2.

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This note introduces the GGDC/UNU-WIDER Economic Transformation Database (ETD), which provides time series of employment and real and nominal value added by 12 sectors in 51 countries for the period 1990–2018. The ETD includes 20 Asian, 9 Latin American, 4 Middle-East and North African, and 18 sub-Saharan African countries at varying levels of economic development. The ETD is constructed on the basis of an in-depth investigation of the availability and usability of statistical sources on a country-by-country basis. The ETD provides researchers with data to analyse the variety and determinants of structural transformation and supports policies aimed at sustained growth and poverty reduction.
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Ana Kristel, Lapid, Rogelio Mercado Jr, and Peter Rosenkranz. Concentration in Asia’s Cross-Border Banking: Determinants and Impacts. Asian Development Bank, May 2021. http://dx.doi.org/10.22617/wps210170-2.

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Regional banking systems in Asia and the Pacific are not only increasingly integrated but also tend to be concentrated to a few counterparties only, exposing the region to financial risk and policy spillovers. This study assesses the determinants and impacts of the region’s cross-border banking concentration. It constructs and analyzes cross-border bank concentration measures for 47 economies in Asia and the Pacific from 2000 to 2019. Results suggest that higher capital account, trade openness, and per capita income are significantly associated with lower cross-border bank concentration. Moreover, elevated cross-border bank concentration tends to lower domestic credit growth and nonperforming loans.
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da Mata, Daniel, U. Deichmann, J. Vernon Henderson, Somik Lall, and H. G. Wang. Determinants of City Growth in Brazil. Cambridge, MA: National Bureau of Economic Research, August 2005. http://dx.doi.org/10.3386/w11585.

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Horowitz, Marvin. Economic determinants of residential mortgage choice. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.827.

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Citovsky, Vitaly, and Yedidya Gafni. Viral and Host Cell Determinants of Nuclear Import and Export of the Tomato Yellow Leaf Curl Virus in Tomato Plants. United States Department of Agriculture, August 2002. http://dx.doi.org/10.32747/2002.7585200.bard.

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Tomato yellow leaf curl geminivirus (TYLCV) is a major pathogen of cultivated tomato, causing up to 100% crop loss in many parts of the world. In Israel, where TYLCV epidemics have been recorded since the 1960' s, this viral disease is well known and has been of economic significance ever since. In recent years, TYLCV outbreaks also occurred in the "New World" - Cuba, The Dominican Republic, and in the USA, in Florida, Georgia and Louisiana. Thus, TYLCV substantially hinders tomato growth throughout the world. Surprisingly, however, little is known about the molecular mechanisms of TYLCV interaction with the host tomato cells. The present proposal, a continuation of the project supported by BARD from 1994, expanded our understanding of the molecular mechanisms by which TYLCV enters the host cell nucleus for replication and transcription and exits it for the subsequent cell-to-cell spread. Our project sought two objectives: I. To study the roles of the viral capsid protein (CP) and host cell factors in TYLCV nuclear import. II. To study the roles of CP and host cell factors in TYLCV nuclear export. Our research toward these goals have produced the following major achievements: . Developed a one-hybrid assay for protein nuclear export and import (#3 in the List of Publications). . Identified a functional nuclear export signal (NES) in the capsid protein (CP) of TYLCV (#3 in the List of Publications). . Discovered homotypic interactions between intact TYLCV CP molecules and analyzed these interactions using deletion mutagenesis of TYLCV CP (#5 in the List of Publications). . Showed developmental and tissue-specific expression of the host factor required for nuclear import of TYLCV CP, tomato karyopherin alpha 1, in transgenic tomato plants (#14 in the List of Publications). . By analogy to nuclear import of TYLCV ,identified an Arabidopsis VIPI protein that participates in nuclear import of Agrobacterium T -complexes via the karyopherin alpha pathway (#4,6, and 8 in the List of Publications). These research findings provided significant insights into (i) the molecular pathway of TYLCV entry into the host cell nucleus, and (ii) the mechanism by which TYLCV is exported from the nucleus for the cell-to-cell spread of infection. Furthermore, the obtained knowledge will help to develop specific strategies to attenuate TYLCV infection, for example, by blocking viral entry into and/or exit out of the host cell nucleus. Also, as much of our findings is relevant to all geminiviruses, new anti- TYLCV approaches developed based on the results of our research will be useful to combat other members of the Geminivirus family. Finally, in addition to the study of TYLCV nuclear import and export, our research contributed to our understanding of general mechanisms for nucleocytoplasmic shuttling of proteins and nucleic acids in plant cells.
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Ruusalepp, Raivo, and Jaan Krupp. D4.1 Prioritised Assessment of Indirect Economic Determinants. Collaboration to Clarify the Costs of Curation, August 2013. http://dx.doi.org/10.7207/4c-4.1.

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Durlauf, Steven. Nonergodic Economic Growth. Cambridge, MA: National Bureau of Economic Research, May 1991. http://dx.doi.org/10.3386/w3719.

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Engen, Eric, and Jonathan Skinner. Taxation and Economic Growth. Cambridge, MA: National Bureau of Economic Research, November 1996. http://dx.doi.org/10.3386/w5826.

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