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Factors Which Influence the Growth of Creative Industries: Cross-section Analysis in China

Factors Which Influence the Growth of Creative Industries: Cross-section Analysis in China

With the more and more important roles of creative economy, its research has become one of the major fields in economic development. The creative economy has the potential to generate income and jobs while promoting social inclusion, cultural diversity and human development. As a developing country, China is also in need of developing the creative economy to adjust the economic structure and realize the sustainable development. In this paper, we examined the factors which influence the growth of creative industries in China through the cross-section analysis of 23 regional data in 2007. Four main factors were examined in this multi-regression model, that is, GDP per capita, the number of higher education institutions, the number of students enrolled in higher education institution and the number of patents.

The statistical analysis found that the model's fit is quite good and 69% of dependent variable (the ratio of value-added of creative industries to the GDP) is explained by the model. Specifically, there are three sub-conclusions. Firstly, there is not a positive relationship between GDP per capita and dependent variable; on the contrary, there is a weak negative relationship in this model. We infer that it is because of the stage of economic development. China heavily depends on the development of the second industry in the process of industrializing. Secondly, there is no linear relationship, in this model, between the number of higher education institutions and the dependent variable. We infer that it is mainly due to the differences between the higher education institutions, such as scales and qualities, etc. Thirdly, there is enough evidence to conclude that the number of students enrolled in higher education institution and the dependent variable are linearly related; the number of patents and the ratio of creative industries are linearly related, as well. They represent the important roles of talents and technology in the development of creative industries.

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Dynamics, Characteristics and Prospects of Consumer Spending in Albania

Abstract

In this paper analyzes the problem of the dynamics of income and expenditure of households in Albania. Analyzing costs in general, spending on food in particular, both connected with a range of other indicators of welfare, with per capita income, expenses for the basket of goods, according to its elements and structure. Survey basket expenditure according to regions of Albania. Analyzed per capita income, expenses basket compared with countries in the region, Europe and the world. The goal is: to extract an accurate conclusion, the place at which ranks Albania in these indicators. What to do in the future, in order to emerge from this negative situation. The conclusions drawn from the analysis are: Albania ranks last places of the world, the indicator of per capita income and expenditure of households. Ranked in first countries in the region and in Europe for the indication of the percentage of expenditure on food and non-alcoholic drinks to the total cost of items in the basket. This situation has come as a result of lower rates of growth of its economy. It recommended changes in the structure of GDP in terms of growth of light industry and food industry extraction and processing, etc. By developing these branches will grow faster GDP and national income, and consequently will increase per capita income. Methods used are: methods of analysis and synthesis, methods of description and comparison, statistical methods etc.

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The role of entrepreneurship in explaining the real Gross Domestic Product per capita: Regression model selection

and GDP per capita. In Bendekovic, M., Klacmer Calopa, M. and Filipovic, D. (Eds.) “Economic and Social Development”, Book of Proceedings of the 6th International Scientific Conference on Economic and Social Development and 3rd Eastern European ESD Conference: Business Continuity, Vienna, 25-25 April 2014.Varazdin, Croatia: Varazdin Development and Entrepreneurship Agency. ISBN: 978-953-6125-10-4. pp. 507-516. 16. Harris, R. (1995). Using Cointegration Analysis in Econometrics Modelling. Prentice Hall/Harvester Wheatsheaf, Upper Saddle River

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Macroeconomic dynamics and the at-risk-of-poverty population in Slovakia

References Eurostat: Combating Poverty and Social Exclusion, 2010 Stiglitz, J., Sen, A., Fittoussi, J., P.: Report by the Commission on Measurement of the Economic Performance and Social Progress, Brussels-Paris, 2009 Kuznets, S.: National Income, 1929-1932". 73rd US Congress, 2d session, Senate document no. 124, 1934 Eurostat: Beyond GDP-Measuring Progress, True Wealth and the Well-being of Nations, International Conference, November 19-29, Brussels, 2007

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Testing the validity of the Linder hypothesis for Croatia

2018]. 29. World Bank (2018a). GDP per capita (Current US$). Available at https://data.worldbank.org/indicator/NY.GDP.PCAP.CD [01 May 2018]. 30. World Bank (2018b). World Integrated Trade Solution. Available at https://wits.worldbank.org/CountryProfile/en/Country/HRV/StartYear/2000/EndYear/2016/TradeFlow/Import/Partner/ALL/Indicator/MPRT-TRD-VL [01 May 2018].

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Greek crisis: Impact on drug treatment services, research and population

. Retrieved from http://www.unicef.gr/ World Bank (2015). Public data. GDP per capita in US$ . Retrieved from https://www.google.gr/publicdata/explore?ds=d5bncppjof8f9_&met_y=ny_gdp_pcap_cd&idim=country:GRC:ITA:GBR&hl=el&dl=el

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Potentials for demographic dividend and rapid economic growth in Mali: What policy scenario would yield the greatest dividend?

al. (2014). Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990-2013: A systematic analysis for the global burden of disease study 2013. Lancet, 384(9947): 957-79. World Bank. (2014). Mortality rate, under-5 (per 1,000 live births) [Online]. Available: http://data.worldbank.org/indicator/SH.DYN.MORT?end=2013&locations=MLGN&start=1990 [Accessed 10 August 2017]. Zelleke, G., Sraiheen, A., & Gupta, K. (2013). Human capital, productivity, and economic growth in 31 sub-saharan african countries for the period

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MIGRANT-RELATED ATTITUDES AND PERCEIVED ETHNIC THREATS BETWEEN IN-GROUPS AND OUT-GROUPS. The cases of Greece and Sweden

, European economic forecast. Autumn 2010, Publications office of the European Union, Luxemburg. Available from: <http://ec.europa.eu/economy_finance/publications/european_economy/2010/pdf/ee-2010-7_en.pdf>. [Last accessed 12.9.2011]. Eurostat 2011, Most popular database tables (GDP per capita in PPS, Harmonised unemployment rate). Available from: <http://ec.europa.eu/eurostat>. [Last accessed 12.10.2011]. Escandell, X & Ceobanu, A 2009, Anti-immigrant sentiment and welfare state regimes in Europe, The Center for

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Regional distance: the concept and empirical evidence from Poland

Abstract

The main aim of this paper is to present the concept of regional distance as a measure of economic diversity at the regional level. Additionally, the paper is devoted to the identification of regional inequalities in Poland, based on the metric presented. Estimates of the regional distance between specific regions (NUTS 2) and the mean level of development of the national economy or Mazowieckie Voivodship (the region with the highest GDP per capita in Poland) were based on calculations conducted using logarithmic equations. Two different distances were calculated: (a) the mean number of years required to achieve the present reference area level of development, (b) the mean number of years necessary to achieve the reference area GDP per capita, taking into consideration the growth rate of the reference area. The empirical example of regional distance application revealed significant inequalities between regions of Poland at NUTS 2 level.

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Macroeconomic effects of the budget deficit in the Republic of Macedonia

(% of GDP) . Available at https://www.finance.gov.mk/en/node/2678 [10 May 2018]. 15. Nayab, H. (2015). The Relationship between Budget Deficit and Economic Growth of Pakistan. Journal of Economics and Sustainable Development , Vol. 6, No. 11, pp. 85-90. 16. Saleh, A. S. (2003). The Budget Deficit and Economic Performance: A Survey. Department of Economics, University of Wollongong , Working Paper 03-12, pp. 1-56. Available at http://ro.uow.edu.au/commwkpapers/78 [10 May 2018]. 17. National Bank of the Republic of Macedonia (2017). Basic

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