The Effect of Artificial Intelligence on Economic Growth: Evidence from Cross-Province Panel Data

2019 ◽  
Vol 7 (2) ◽  
pp. 9-12
Author(s):  
Yugang HE
Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data


2021 ◽  
Vol 13 (14) ◽  
pp. 7961
Author(s):  
Alexandra Fratila (Adam) ◽  
Ioana Andrada Gavril (Moldovan) ◽  
Sorin Cristian Nita ◽  
Andrei Hrebenciuc

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.


2021 ◽  
Vol 13 (11) ◽  
pp. 6003
Author(s):  
Manuel Carlos Nogueira ◽  
Mara Madaleno

Every year, news about the publication of rankings and scores of important international indexes are highlighted, with some of the most prestigious being the Global Competitiveness Index (GCI), the Human Development Index (HDI), the Ease of Doing Business (EDB), the Environmental Performance Index (EPI) and the Global Entrepreneurship (GEI). A country’s progression in these indices is associated with economic growth, especially since several empirical studies have found evidence to reinforce these beliefs, the indices having been built based on the scientific literature on economic growth. Building a database on these indices for European Union countries between 2007 and 2017 and using panel data methodologies and then 2SLS (Two-Stage Least Squares) to solve the problem of endogeneity, we verify empirically through panel data estimates, what is the relationship between the mentioned indices and the European Union countries’ economic growth for the period. However, as the European Union is made up of diverse countries with different economic and social realities, we divided the countries into six clusters and made an individual interpretation for each one. We found that human development and competitiveness play an important role in economic growth, and entrepreneurship also impacts this growth. Regarding income distribution, applying the Gini index, we found that only human development mitigates inequalities.


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