The quality of life and economic development of economies and their regions is influenced by socio-economic indicators such as unemployment, healthcare and education, environmental issues or household equipment. The question remains whether these indicators within regions can also influence each other and whether they have positive or negative effects. The paper aims to describe the impact of the selected socioeconomic indicators on health personnel, which was also divided from the gender perspective. For this purpose, the regions of the Visegrad Group Plus countries at NUTS II level were selected. The research was performed in the period from 2004 to 2013. According to our results based on the Generalized Method of Moments with panel data, we found out that a change in household income and a change in the number of vehicles in the monitored regions have the greatest (positive) impact on staff in hospitals. The research may contribute to the discussion about levels of regional economic development and the related competitiveness in terms of the socio-economic approach, and it may also provide a basis for further discussion on its measurement and use of appropriate indicators.
If the inline PDF is not rendering correctly, you can download the PDF file here.
AKINCI D. A MATOUSEK R. RADIĆ N. & STEWARD CH. (2013). Monetary policy and the banking sector in Turkey. Journal of International Financial Markets Institutions & Money 27 pp. 269-285. DOI: 10.1016/j.intfin.2013.08.001.
ANAND S. & BÄRNIGHAUSEN T. (2004). Human resources and health outcomes: cross-country econometric study. The Lancet 364(9445) pp. 1603-1609. DOI: 10.1016/S0140-6736(04)17313-3.
ARELLANO M. & BOND S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies. 58(2) pp. 277-297. DOI: 10.2307/2297968.
ARTL J. & MANDEL M. (2014). The Reaction Function of Three Central Banks of Visegrad Group. Prague Economic Papers 3 pp. 269-289. DOI: 10.18267/j.pep.484
BARROS C. P. & NUNES F. (2007). Governance and CEO pay and performance in non-profit organizations. International Journal of Social Economics. 34(11) pp. 811-827. DOI: 10.1108/03068290710826404.
BERWICK D. M. & HACKBARTH A. D. (2012). Eliminating Waste in US Health Care. JAMA. 307(14) pp. 1513-1516. DOI: 10.1001/jama.2012.362.
BLOOM D. AND CANNING D. (2003). Health as Human Capital and its Impact on Economic Performance. The Geneva Papers on Risk and Insurance. 28(2) pp. 304-315. DOI: 10.1111/1468-0440.00225.
CHRISTIAN B. RAY D. BENYOUSSEF A. & TANAHASHI T. (1977). Health and socio-economic development: An intersectoral model. Social Science & Medicine 11(2) pp. 63-69 DOI: 10.1016/0037-7856(77)90001-4.
CLAYTON M. LINARES-ZEGARA J. & WILSON J. O. S. (2015). Does debt affect health? Cross country evidence on the debt-health nexus. Social Science and Medicine. 130 pp. 51-58. DOI: 10.1016/j.socscimed.2015.02.002.
COMBER A. BRUNSON CH. & RADBURN R. (2011). A spatial analysis of variations in health access: linking geography socio-economic status and access perceptions. International Journal of Health Geographics pp. 10-44. DOI: 10.1186/1476-072X-10-44.
CROISSANT Y. ROY W. & CANTON J. (2013) Reducing urban public transport costs by tendering lots: a panel data estimation. Applied Economics. 45(26) pp. 3711-3722. DOI: 10.1080/00036846.2012.730133.
DAVIS A. & QUINLIVAN G. (2006). A panel data analysis of the impact of trade on human development. The Journal of Socio-Economics. 35(5) pp. 868–876. DOI: 10.1016/j.socec.2005.11.048.
EUGENIO-MARTIN J. L. MORALES N. M. & SCARPA R. (2004). Tourism and Economic Growth in Latin American Countries: A Panel Data Approach. FEEM Working Paper No. 26.2004. Milano: FEEM.
EUROSTAT (2018). Regional Database. [Online]. Available from: http://ec.europa.eu/eurostat/web/regions/data/database [Accessed: 10th January 2018].
FINGLETON B. (2003). European Regional Growth. Berlin Heidelberg: Springer-Verlag.
GABDRAKHMANOV N. K. & RUBTSOV V. A. (2014). Tourist and Recreational Positioning of Tatarstan Republic: Cluster Analysis. World Applied Sciences Journal (Management Economics Technology and Tourism). 30 pp. 202-205. DOI: 10.5829/idosi.wasj.2014.30.mett.45.
GEISHECKER I. (2012). Simultaneity bias in the analysis of perceived job insecurity and subjective well-being. Economics Letters. 116(3) pp. 319-321. DOI: 10.1016/j.econlet.2012.03.018.
HALKOS G. E. (2003). Environmental Kuznets Curve for sulfur: evidence using GMM estimation and random coefficient panel data models. Environment and Development Economics. 8(4) pp. 581-601. DOI: 10.1017/S1355770X0300317.
HANSEN L. P. (1982) Large Sample Properties of Generalized Method of Moments Estimators. Econometrica. 50(4) pp. 1029-1054. DOI: 10.2307/1912775.
HERYÁN T. & TZEREMES P. G. (2017). The bank lending channel of monetary policy in EU countries during the global financial crisis. Economic Modelling. 67 pp. 10-22. DOI: 10.1016/j.econmod.2016.07.017.
IMERS G. W. (2002) Generalized Method of Moments and Empirical Likelihood. Journal of Business and Economic Statistics. 20(4) pp. 493-506 DOI: 10.1198/073500102288618630.
ISSA H. & OUATTARA B. (2005). The effect of private and public health expenditure on infant mortality rates: does the level of development matters. Damascus Univ. Journal. 28(1) pp. 21-37.
JALAN J. & RAVALLION M. (1998). Are there dynamic gains from a poor-area development program? Journal of Public Economics. 67(1) pp. 65-85. DOI: 10.1016/S0047-2727(97)00052-2.
KING D. (2012). Hospital-adjacent hotels get built amid development standstill. [Online]. Available from: https://www.travelweekly.com/Travel-News/Hotel-News/Hospital-adjacent-hotels-get-built-amid-development-standstill [accessed 20 October 2018].
MAJEROVA I. (2017). Composite Development Index of Visegrad Group Regions. Working Paper in Interdisciplinary Economics and Business Research no. 45. Silesian University in Opava School of Business Administration in Karviná.
MAJEROVA I. (2018). Regional Development in Visegrad Group Countries and its Measurement. DETUROPE 10(2) pp. 17-37.
MAJEROVA I. & NEVIMA J. (2017). The measurement of human development using the Ward method of cluster analysis. Journal of International Studies 10(2) pp. 239-257. DOI: 10.14254/2071-8330.2017/10-2/17.
MCKEE M. (2004). Reducing hospital beds: what are the lessons to be learned? Policy brief no. 6. European Observatory on Health Systems and Policies. Copenhagen: WHO Regional Office for Europe.
MICHAUD P-C. & VAN SOEST A. (2008). Health and wealth of elderly couples: Causality tests using dynamic panel data models. Journal of Health Economics. 27(5) pp. 1312-1325. DOI: 10.1016/j.jhealeco.2008.04.002.
MOURAO P. R. (2016). Socio-economic Determinants for the Portuguese Immigration: An Empirical Discussion. Social Indicators Research. 125(3) pp. 955-975. DOI: 10.1007/s11205-015-0860-6.
MULDOON K. A. GALWAY L. P. NAKAJJIMA M. KANTERS S. HOGG R. S. BENDAVID E. & MILLS E. J. (2011). Health system determinants of infant child and maternal mortality: A cross-sectional study of UN member countries. Global Health. 7 pp. 7-42. DOI: 10.1186/1744-8603-7-42.
MULLAHY J. & SINDELAR J. (1996). Employment unemployment and problem drinking. Journal of Health Economics. 15(4) pp. 409-434. DOI: 10.1016/S0167-6296(96)00489-4.
NG T. H. LYE CH. T. & LIM Y. S. (2013). Broadband penetration and economic growth in ASEAN countries: a generalized method of moments approach. Applied Economics Letters. 20(9) pp. 857-862. DOI: 10.1080/13504851.2012.754538.
NIELSEN H. B. (2005) Generalized Method of Moments Estimation. [Online]. Available from: URL https://www.econ.ku.dk/metrics/Econometrics2_05_II/.../gmm.pdf [accessed 10 January 2018].
NIJKAMP P. & ABREU M. (2009). Regional Development Theory. [Online]. Available from: http://econpapers.repec.org/paper/vuawpaper/2009-29.htm [accessed 10 January 2018].
PÉREZ E. A. & NADAL J. R. (2005). Host Community Perceptions A Cluster Analysis. Annals of Tourism Research. 32(4) pp. 925-941. DOI: 10.1016/j.annals.2004.11.004.
ROODMAN D. 2009. How to do xtabond2: an introduction to difference and system GMM in Stata. The Stata Journal 9(1) pp. 86–136.
SAIDI K. & MAMMAMI S. (2015). The impact of CO2 emissions and economic growth on energy consumption in 58 countries. Energy Reports. 1 pp. 62-70 DOI: 10.1016/j.egyr.2015.01.003.
SEMYONOV M. LEWIN-EPSTEIN N. & MASKILEYSON D. (2013). Where wealth matters more for health: The wealth–health gradient in 16 countries. Social Science and Medicine. 81 pp. 10-17. DOI: 10.1016/j.socscimed.2013.01.010.
SHAFIK N. (1994). Economic Development and Environmental Quality: An Econometric Analysis. Oxford Economic Papers. 46(0) Special Issue on Environmental Economics pp. 757-773. DOI: 10.1093/oep/46.Supplement_1.757.
SMITH J. P. (1999). Healthy Bodies and Thick Wallets: The Dual Relation between Health and Economic Status. J Econ Perspect. 13(2) pp. 144–166. DOI: 10.1257/jep.13.2.145
UNITED NATIONS (1983). European Agreement on main international traffic arteries (AGR) (with annexes and list of roads). Concluded at Geneva on 15 November 1975. Multilateral vol. 1302 I-21618. Geneva: United Nations.
VERNER T. & CHUDARKOVA S. (2013). Production Function and Human Capital: The Case of Visegrad Countries. In: H. Vojackova ed. Proceedings of 31st International Conference on Mathematical Methods in Economics. Jihlava: College of Polytechnics Jihlava pp. 321-325.
WHO (2016a). Health Employment and Economic Growth: A Five-Year Action Plan (2017–21). [Online]. Available from: http://www.who.int/hrh/com-heeg/comheeg_actionplan2016.pdf [accessed 10 November 2018].
WHO (2016b). Working for health and growth: investing in the health workforce. Report of the High-Level Commission on Health Employment and Economic Growth. Geneva: WHO.
ZHANG. CH. & ZHUANG L. (2011). The composition of human capital and economic growth: Evidence from China using dynamic panel data analysis. China Economic Review. 22(1) pp. 165-171. DOI: 10.1016/j.chieco.2010.11.001.
ZURN P. DAL POZ M. O. STILWELL B. & ADAMS O. (2004). Imbalance in the health workforce. Human Resources for Health 2(13) pp. 595-600. DOI: 10.1186/1478-4491-2-13.