Population economic function model based on data mining algorithm

2021 ◽  
pp. 1-14
Author(s):  
Guoqiang Wu ◽  
Qingping Li

Population structure changes interact with economic development, moderate population and reasonable population structure are important guarantees for sustainable social and economic development. The research ignores the specific impact of the change of population age structure on economic growth, and proposes and establishes a population economic function model based on data mining algorithm. Based on the changes of population structure in Liaoning Province in the past 20 years, Grey correlation analysis method is selected. The analysis shows that there is a close relationship between population structure and economic growth. Based on this research, the econometric method is used to construct a multiple linear regression model to further analyze the specific impact of population structure changes on economic growth. The analysis results show that the total population of urban areas, the total number of employed people in the primary industry, the number of middle school students per 10,000 people, and the total number of employed people in the tertiary industry are the four most significant demographic indicators for the per capita GDP of the study area. There is a significant positive correlation between the total number of employed people in the tertiary industry and per capita GDP and there is a significant negative correlation between the total number of employed people in the primary industry and the number of middle school students per capita and per capita GDP. The impact of other indicators on per capita GDP is not significant. According to the conclusion, countermeasures and suggestions to ease population structure change and promote the coordinated development of population and economy in the study area are put forward.

Author(s):  
Darma Mahadea ◽  
Irrshad Kaseeram

Background: South Africa has made significant progress since the dawn of democracy in 1994. It registered positive economic growth rates and its real gross domestic product (GDP) per capita increased from R42 849 in 1994 to over R56 000 in 2015. However, employment growth lagged behind GDP growth, resulting in rising unemployment. Aim and setting: Entrepreneurship brings together labour and capital in generating income, output and employment. According to South Africa’s National Development Plan, employment growth would come mainly from small-firm entrepreneurship and economic growth. Accordingly, this article investigates the impact unemployment and per capita income have on early stage total entrepreneurship activity (TEA) in South Africa, using data covering the 1994–2015 period. Methods: The methodology used is the dynamic least squares regression. The article tests the assertion that economic growth, proxied by real per capita GDP income, promotes entrepreneurship and that high unemployment forces necessity entrepreneurship. Results: The regression results indicate that per capita real GDP, which increases with economic growth, has a highly significant, positive impact on entrepreneurial activity, while unemployment has a weaker effect. A 1% rise in real per capita GDP results in a 0.16% rise in TEA entrepreneurship, and a 1% rise in unemployment is associated with a 0.25% rise in TEA. Conclusion: There seems to be a strong pull factor, from income growth to entrepreneurship and a reasonable push from unemployment to entrepreneurship, as individuals without employment are forced to self-employment as a necessity, survival mechanism. Overall, a long-run co-integrating relationship seems plausible between unemployment, income and entrepreneurship in South Africa.


2011 ◽  
Vol 50 (4II) ◽  
pp. 599-615 ◽  
Author(s):  
Naeem Akram

Over the years Pakistan has failed to collect enough revenues for financing of its budget. Consequently, the problem of twin deficits emerged and to finance the developmental activities government has to rely on public external and domestic debt. The positive effects of public debt relate to the fact that in resource-starved economies debt financing if done properly leads to higher growth and adds to their capacity to service and repay public debt. The negative effects work through two main channels—i.e., ―Debt Overhang‖ and ―Crowding Out‖ effects. The present study examines the consequences of public debt for economic growth and investment in Pakistan for the period 1972-2009. It develops a hybrid model that explicitly incorporates the role of public debt in growth equations. As the some variables are I (1) and other are I (0) so Autoregressive Distributed Lag(ARDL) technique has been applied to estimate the model. Study finds that public external debt has negative relationship with per capita GDP and investment confirming the existence of ―Debt Overhang effect‖. However, due to insignificant relationships of debt servicing with investment and per capita GDP, the existence of the crowding out hypothesis could not be confirmed. Similarly, domestic debt has a negative relationship with investment and per capita GDP. In other words, it seems to have crowded out private investment. JEL classification: H63, O43, E22, C22 Keywords: Public Debt, Economic Growth, Investment, ARDL


Author(s):  
Mustafe Pllana ◽  
Aida Tmava

Economic growth has become an important study growth matter. By economists economic growth is defined as capital stock growth, rising per capita GDP, increased access for manufactured goods and services for consumption and so on. In economic growth affect several factors and policies. Corruption, lack of investment, inappropriate institutions, inappropriate education etc. are some of obstacles to economic development. Consumption and investment are important components of aggregate demand with multiplicative effect in development. Remittances of migrants are significant potential financial capital used for investments, reflected in economic development and social prosperity. Remittances in Kosovo since 1960 have always been increasing. Participation of remittances to GDP in Kosovo in 2010 is about 12%. Remittances are the highest contributor to the Kosovo trade deficit coverage and are higher than foreign direct investments. Remittances unfortunately for various reasons are not exploited and are not sufficiently exploited for economic development.


2019 ◽  
Vol 79 (2) ◽  
pp. 477-506 ◽  
Author(s):  
Nuno Palma ◽  
Jaime Reis

We construct the first time-series for Portugal’s per capita GDP for 1527–1850, drawing on a new database. Starting in the early 1630s there was a highly persistent upward trend which accelerated after 1710 and peaked 40 years later. At that point, per capita income was high by European standards, though behind the most advanced Western European economies. But as the second half of the eighteenth century unfolded, a phase of economic decline was initiated. This continued into the nineteenth century, and by 1850 per capita incomes were not different from what they had been in the early 1530s.


2004 ◽  
Vol 4 (2) ◽  
pp. 1850021 ◽  
Author(s):  
Jorge Crespo ◽  
Carmela Martín ◽  
Francisco J Velázquez

This paper explores the role of imports as a mechanism of transmission of international technology spillovers and its significance for the growth of the OECD countries. For this purpose we estimate a version of the growth model proposed by Benhabib and Spiegel (1994), which includes two main modifications in order to better specify the nature of international knowledge diffusion. The first is the inclusion of the R&D capital stock into this framework. The second consist of using a direct measurement of international technology spillovers instead of using per capita GDP gap in respect to the leader country as approach to it. Our results reveal that international technology spillovers transmitted through imports have had a favourable influence on the economic growth of the OECD countries. However, they show the predominant role of the domestic human and R&D capital endowments in economic growth.


2014 ◽  
Vol 12 (3) ◽  
pp. 257
Author(s):  
Oi Lin Cheung

<p>This study investigates how the overall innovative environment will affect the economic growth of a place, in particular, a state. Using the Innovation Index and its component indexes as a measure of the innovative environment prevailing in the states, it is found that the more innovative a state is, the higher its per capita real GDP and per capita personal income are. These relations are statistically significant. The higher per capita personal income is associated with both the availability of human capital for innovative activities and the presence of the economic dynamics that facilitate those activities. At the same time, the higher per capita real GDP has been brought about by the availability of such human capital only.</p>


Author(s):  
Hong Zhuang ◽  
Robert St. Juliana

This paper explores determinants of economic growth using variables from traditional Solow model and recent empirical studies. The study covers data on American countries during the period 1995-2006.  The estimates show that per capita, GDP growth is positively related to capital expenditure, primary completion rate and trade openness and the relationship is statistically significant. Furthermore, population growth rate and investment in research and development have positive impacts on economic growth, yet the effects are not significant.


2021 ◽  
Author(s):  
Edmund Ntom Udemba

Abstract This current study seeks to investigate the policy implication of Turkey’s recent energy policies on its sustainable development. This study uses Turkey’s country-specific data and series of 1974 to 2018 for effective investigation and justification of the findings of this study with emphasis on both short run and long run implications. Three models were fitted to achieve study objectives to accommodate both environmental sustainability and economic impacts. Ecological footprint was considered better measure and used as proxy for the environment related model. In summary, with environment models, the selected series (per capita GDP, Industrialization, agriculture, coal as a single energy use and mixed energy use) except per capita GDP2 were found positively and significantly related to ecological footprint both in short run and long run which translates to poor performance of Turkey’s environment. Also, using economic growth model, the selected series (Industrialization, energy use and agriculture) were all confirmed positively and significantly related to the economic growth (per capita GDP). Additionally, Environmental Kuznets Curve (EKC) was established for Turkey’s environment and economic performance. Furthermore, using Granger causality as robust check to these findings, a nexus was found among the series confirming the validity of the cointegration (short and long run policies) estimations and results. In congruence with literature and hypotheses, the results from cointegration estimation shows that the twin polices may be good to the economic performance but will spark off adverse effect on environment.JEL Classification: C1, C32, E6, L7, O4, Q3, Q4, Q5


2019 ◽  
Vol 116 (20) ◽  
pp. 9808-9813 ◽  
Author(s):  
Noah S. Diffenbaugh ◽  
Marshall Burke

Understanding the causes of economic inequality is critical for achieving equitable economic development. To investigate whether global warming has affected the recent evolution of inequality, we combine counterfactual historical temperature trajectories from a suite of global climate models with extensively replicated empirical evidence of the relationship between historical temperature fluctuations and economic growth. Together, these allow us to generate probabilistic country-level estimates of the influence of anthropogenic climate forcing on historical economic output. We find very high likelihood that anthropogenic climate forcing has increased economic inequality between countries. For example, per capita gross domestic product (GDP) has been reduced 17–31% at the poorest four deciles of the population-weighted country-level per capita GDP distribution, yielding a ratio between the top and bottom deciles that is 25% larger than in a world without global warming. As a result, although between-country inequality has decreased over the past half century, there is ∼90% likelihood that global warming has slowed that decrease. The primary driver is the parabolic relationship between temperature and economic growth, with warming increasing growth in cool countries and decreasing growth in warm countries. Although there is uncertainty in whether historical warming has benefited some temperate, rich countries, for most poor countries there is >90% likelihood that per capita GDP is lower today than if global warming had not occurred. Thus, our results show that, in addition to not sharing equally in the direct benefits of fossil fuel use, many poor countries have been significantly harmed by the warming arising from wealthy countries’ energy consumption.


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