Wage Regulations and Shadow Economy in 28 European Countries

• Autorzy: Agnieszka Szulc-Obłoza
• Języki publikacji: EN

Abstrakty

EN

Motivation: The regulations are seen as the push factor into shadow sphere. The identification of determinants of shadow economy is crucial element mainly due to policy reasons. However, the analysis of the shadow economy is challenging mainly because of the identification problems. Actors from the shadow sphere hide this activity intently. Additionally determinants, consequences and size of phenomena are changing all the time and vary from country to country. Aim: The main aim of the article is to analyse the relation of regulations on the labour market related to wages and shadow economy in 28 European countries in 2013 and 2016. Additionally, the author builds the ranking of countries to collate the selected regulations in European countries on the basis of created synthetic measure. Results: The relation between regulations concerning wages and shadow economy on the low level was identified. The built ranking of countries in 2013 and 2016 was opened by Denmark and Sweden as least regulated countries in the group of 28 European states. Additionally, in 2013 Germany was classified to the group of not regulated elements included in synthetic measure. (original abstract)

Słowa kluczowe

EN

Labour market; Legal regulations; Grey economy

PL

Rynek pracy; Regulacje prawne; Szara strefa

• Czasopismo: Ekonomia i Prawo
• Rocznik: 2020
• Tom: 19
• Numer: nr 4
• Strony: 789--799

Twórcy

autor

Agnieszka Szulc-Obłoza

• Nicolaus Copernicus University in Toruń, Poland

Bibliografia

• Alanon, A., & Gomez-Antonio, M. (2005). Estimating the size of the shadow economy in Spain: a structural model with latent variables. Applied Economics, 37(9). doi:10.1080/00036840500081788.
• Betcherman, G. (2019). Designing labor market regulations in developing countries. IZA World of Labor, 57(2). doi:10.15185/izawol.57.v2.
• Bonin, H., Isphording, I. E., Krause-Pilatus, A., Lichter, A., Pestel, N., & Rinne, U. (2020). The German statutory minimum wage and its effects on regional employment and unemployment. Jahrbücher Für Nationalökonomie Und Statistik, 240(2-3). doi:10.1515/jbnst-2018-0067.
• Botero, J.C., Djankov, S., La Porta, R., Lopez-de-Silanes, F., & Shleifer, A. (2004). The regulation of labor. The Quartely Journal of Economics, 119(4). doi:10.1162/0033553042476215.
• Buehn, A., & Schneider, F. (2009). Shadow economies and corruption all over the world: revised estimates for 120 countries. Economics: The Open-Access, Open-Assessment E-Journal, 1. doi:10.5018/economics-ejournal.ja.2007-9.
• Carter, M. (1984). Issues in the hidden economy: a survey. The Economic Record, 60(3). doi:10.1111/j.1475-4932.1984.tb00856.x.
• Chen, M.A. (2012). The informal economy: definitions, theories and policies. WIEGO Working Paper, 1.
• Dell'Anno, R., & Solomon, O.H. (2006). Shadow economy and unemployment rate in USA: is there a structural relationship: an empirical analysis. Applied Economics, 40(19). doi:10.1080/00036840600970195.
• Djankov, S., Lieberman, I., Mukherjee, J., & Nenova, T. (2003). Going informal: benefits and costs. In B. Belev (Ed.), The informal economy in the EU accession countries: size, scope, trends and challenges to the process of EU enlargement. Sofia: Center for Study of Democracy.
• Doing Business. (2020). Retrieved 01.02.2020 from https://www.doingbusiness.org.
• Eichhorst, W., Feil, M., & Braun, C. (2008). What have we learned: assessing labor market institutions and indicators. IZA Discussion Paper, 3470.
• Estrin, S., & Mickiewicz, T. (2012), Shadow economy and entrepreneurial entry. Review of Development Economics, 16(4). doi:10.1111/rode.12004.
• European Commission. (1998). Communication of the Commission on undeclared work (COM (98) 219).
• Eurostat. (2020). Retrieved 01.02.2020 from https://ec.europa.eu.
• Fleming, M.H., Roman, J., & Farrell, G. (2000). The shadow economy. Journal of International Affairs, 53(2).
• Friedman, E., Johnson, S., Kaufmann, D., & Zoido-Lobaton, P. (2000). Dodging the grabbing hand: the determinants of unofficial activity in 69 countries. Journal of Public Economics, 76(3). doi:10.1016/s0047-2727(99)00093-6.
• Godfrey, P.C. (2011). Toward a theory of the informal economy. The Academy of Management Annals, 5(1). doi:10.1080/19416520.2011.585818.
• Jensen, P.H., Pfau-Effinger, B., & Flaquer, L. (2009). The development of informal work in the work-welfare arrangements of European societies. In B. Pfau-Effinger, L. Flaquer, P.H. Jensen (Eds.), Formal and informal work: the hidden work regime in Europe. New York: Routledge.
• Johnson, S., Kaufmann, D., Shleifer, A., Goldman, M.I., & Weitzman, M.L. (1997). The unofficial economy in transition. Brooking Papers on Economic Activity, 2. doi:10.2307/2534688.
• Kelmanson, B., Kirabaeva, K., Medina, L., Mircheva, B., & Weiss, J. (2019). Explaining the shadow economy in Europe: size, causes and policy options. IMF Working Paper, 278. doi:10.5089/9781513520698.001.
• Kuddo, A. (2018). Labor regulations throughout the world: an overview. doi:10.1596/30106.
• Kukuła, K. (2000). Metoda unitaryzacji zerowanej. Warszawa: PWN.
• LABREF. (2020). Retrieved 01.02.20200 from https://webgate.ec.europa.eu.
• Loayza, N.V. (1994). Labor regulations and the informal economy. Policy Research Working Paper, 1335.
• Loayza, N.V. (1999). The economics of the informal sector: a simple model and some empirical evidence from Latin America. Policy Research Working Papers. doi:10.1596/1813-9450-1727.
• Lomnitz, L.A., (1988). Informal exchange networks in formal systems: a theoretical model. American Anthropologist, 90(1). doi:10.1525/aa.1988.90.1.02a00030.
• Malina, A. (2000). Określenie zbioru finalnych zmiennych diagnostycznych. In A. Zeliaś (Ed.), Taksonomiczna analiza przestrzennego zróżnicowania poziomu życia w Polsce w ujęciu dynamicznym. Kraków: AE w Krakowie.
• Malina, A., & Wanat, S. (2000). Wyznaczenie syntetycznego miernika poziomu życia ludności. In A. Zeliaś (Ed.), Taksonomiczna analiza przestrzennego zróżnicowania poziomu życia w Polsce w ujęciu dynamicznym. Kraków: AE w Krakowie.
• Maloney, W.F. (2004). Informality revisited. World Development, 32(7). doi:10.1016/j.worlddev.2004.01.008.
• Medina, L., & Schneider, F. (2019). Shedding light on the shadow economy: a global database and the interaction with the official one. Cesifo Working Paper, 7981.
• Oviedo, A.M., Thomas, M.R., & Karakurum-Ozdemir, K. (2009). Economic informality, causes, costs, and policies: a literature survey. World Bank Working Paper, 167. doi:10.1596/978-0-8213-7996-7.
• Pilc, M. (2015). Determinants of the labour market institutions in post-socialist economies. Communist and Post-Communist Studies, 48(2-3). doi:10.1016/j.postcomstud.2015.06.008.
• Portes, A. (2010). Economic sociology: a systematic inquiry. Princeton: Princeton University Press.
• Ruge, M. (2010). Determinants and size of the shadow economy: a structural equation model. International Economic Journal, 24(4). doi:10.1080/10168737.2010.525988.
• Schneider, F. (2016). Trotz gegenläufiger Tendenzen (Anstieg der Arbeitslosigkeit und fer Flűchtlinge) ein Rűckgang der Schattenwirtschaft (des Pfusch) in Ősterreich in 2016. Retrieved 20.02.2020 from https://www.jku.at.
• Williams, C., & Windebank, J. (1998). Informal employment in the advanced economies: implications for work and welfare. New York: Routledge.
• Williams, C.C. (2008). Envelope wages in Central and Eastern Europe and the EU. Post-Communist Economies, 20(3). doi:10.1080/14631370802281472.
• Zagorsek, H., Jaklic, M., & Hribernik, A. (2009). The shadow economy and its impact on national competitiveness: the case of Slovenia. South East European Journal of Economics and Business, 4(1). doi:10.2478/V10033-009-0003-6.
• Zeliaś, A. (2000). Kryteria doboru zmiennych diagnostycznych. In A. Zeliaś (Ed.), Taksonomiczna analiza przestrzennego zróżnicowania poziomu życia w Polsce w ujęciu dynamicznym. Kraków: AE w Krakowie.
• Zoido-Lobaton, P., Johnson, S., & Kaufmann, D. (1999). Corruption, public finances, and the unofficial economy. Policy Research Working Papers. doi:10.1596/1813-9450-2169.

Identyfikatory

DOI

10.12775/EiP.2020.051