Does economic globalisation promote economic growth? A meta‐analysis

World Economy ◽  
2021 ◽  
Author(s):  
Philipp Heimberger
2020 ◽  
Vol 134 ◽  
pp. 105021 ◽  
Author(s):  
Alina Cazachevici ◽  
Tomas Havranek ◽  
Roman Horvath

2016 ◽  
Vol 54 (3) ◽  
pp. 1445-1463 ◽  
Author(s):  
Thushyanthan Baskaran ◽  
Lars P. Feld ◽  
Jan Schnellenbach

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Cândida Ferreira

<span class="fontstyle0">This paper analyses the co-integration relationship between globalisation and economic<br />growth of 27 more or less developed countries across almost all Continents for the time period<br />1970–2013. Globalisation is </span><span class="fontstyle2">proxied </span><span class="fontstyle0">by the overall globalisation index and the sub-indices<br />representing economic globalisation, social globalisation and political globalisation, all<br />provided by the Swiss Economic Institute. Economic growth is measured through the natural<br />logarithm of the real Gross Domestic Product, sourced from the World Development<br />Indicators which are provided by the World Bank. Co-integration is tested with quantile cointegration regressions. The results obtained clearly confirm the existence of non-linear cointegration relationships between the considered globalisation indices and the real economic<br />growth.</span>


2017 ◽  
Vol 64 ◽  
pp. 270-287 ◽  
Author(s):  
S. Awaworyi Churchill ◽  
S.L. Yew

2019 ◽  
Vol 22 (2) ◽  
pp. 195-209 ◽  
Author(s):  
Muhammad Subtain Raza ◽  
Jun Tang ◽  
Sana Rubab ◽  
Xin Wen

PurposeThis paper aims to evaluate the relationship between financial inclusion and economic development in Pakistan based on available sources of detailed data and assess its outcome of financial inclusion on basic standards of life, then accord relevant recommendations to prompt economic growth and development.Design/methodology/approachThe research design selected for data analysis was meta-analysis, besides, data analysis over the period 2010-2015 was performed by using a descriptive statistical approach, regression and correlation analysis, i.e. the Pearson correlation matrix.FindingsThe authors find a positive relationship between financial inclusion and economic development, resultantly; increase in financial inclusion may lead to an increase in economic development. In detail, the number of the number of bank accounts (per 1,000 adult population) and the number of bank branches (per 100,000 people) have a positive relationship with human development index (HDI). Where else the amount of automated teller machines per 1,000 km2(per cent) reveals a negative relationship.Practical implicationsThe study has shown that expand financial access such as strengthen the establishment of bank accounts and bank branches can increase economic development in Pakistan. That is the government should focus on the financial inclusion policies as a means of ameliorating poverty, through a participation of all economic agents in the financial system. There is an utmost need for the Government of Pakistan to prioritize the importance of financial inclusion.Originality/valueThe novelty of the study is taken HDI and three representative indicators as a measurement of economic growth and financial inclusion, respectively, meanwhile, meta-analysis, multivariate regression model sum up that poverty alleviation is connected with the development of a more inclusive financial services sectors.


Author(s):  
Chris (Hristos) Doucouliagos ◽  
Mehmet Ali Ulubasoglu

2018 ◽  
Vol 10 (12) ◽  
pp. 4655 ◽  
Author(s):  
Maria Cipollina ◽  
Nadia Cuffaro ◽  
Giovanna D’Agostino

Increasing commercial pressure on land may lead to land concentration in developing countries, especially in the context of complex systems of property rights. In this article we review through meta-analysis (MA) the econometric findings of the literature estimating the nexus between land inequality and economic growth. In particular, our MA controls for various features of the studies and for the so-called “publication bias,” and shows that land-inequality negatively affects economic growth, especially at low development levels. Analysis based on panel data, which generally imply a relatively short run perspective, typically report a lower or positive correlation between land inequality and growth, suggesting that the negative impact of land inequality emerges in the long run, possibly through credit constraints and institutional mechanisms.


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