INCLUSIVE ENTREPRENEURSHIP POLICIES IN HUNGARY OECD LEED DG EMP multiannual project Petra Reszkető Budapest Institute June 2017 Dohány utca 84. Budapest 1074, Hungary
EU CONTEXT EU2020: entrepreneurship & self-employment as key for achieving growth (in response to 2008 crisis, raising unemployment along with ALMP) EC focus: 1. Business start-ups by unemployed/ people from vulnerable groups 2. Support for social entrepreneurs 3. Financial support (diversification of tools, not just grant!) OECD LEED-DG EMP multiannual project: mapping group-specific challenges and mutual learning 1
POLICY RATIONALE Government interventions launched with the aim to: Reduce unemployment, help to tackle transition (employability gains) Improve skills (e.g. financial skills in general) Meet market failures (e.g. access to finance) Stimulate innovation and growth, local economic development 2
SELF-EMPLOYMENT IN EU Varies considerably across countries and time (highest: 15-21% IT, EL, PL, RO, SK, lowest: 7-9% DK, GE, AT, FR) Very heterogeneous group, no typical profile (age, gender, level of education, motivations, working conditions) Important distinction: opportunity versus necessitydriven Bogus/disguised SE: independent but with one client Lack of monitoring data, measurement problems (disguised/informality) and limited policy evidence Blanchflower-Oswald 1991, Bosma-Harding 2007, Harding 2003, OECD 2012a, OECD2012b, OECD 2014, Smallbone-Welter 2004 3
POLICY TOOLS AND LESSONS SO FAR Universal measures (with higher marginal benefit to vulnerable groups): Ease market entry requirements (capital, administrative burden) Provide welfare bridge (wage subsidy, tax break) Prefer cooperation/collaboration with business sector Provide follow up services (usually under-developed) Group-specific measures: Motivation (opportunity versus necessity) Skill level (age, gender, edu level) Business life cycle (pre-registration / business set up / established business phase) Bosma-Harding 2007, Düll 2011, Eurofund 2011, Eurofund 2014, OECD 2014, Rostam- Afschar 2010 4
HU SELF-EMPLOYMENT RATES 18 16 14 12 10 8 6 4 2 0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 HU Gender gap HU Generation gap Hungary V4 EU-28 5
14 12 10 8 6 4 2 0 60 50 40 30 20 10 0 HU ENTREPRENEURIAL ACTIVITY, ATTITUDES Total Entrepreneurial Activity Overall average Overall average Men Women Youth (18-30 years old) Fear of failure Men Women Youth (18-30 years old) Hungary EU27 Older people (50-64 years old) Older people (50-64 years old) Women lowest TEA rate mostly have a fear of failure and missing skills Youth high TEA rate smallest share in having fear of failure, despite missing skills 60 50 40 30 20 10 0 Perception of having skills Overall average Men Women Youth (18-30 years old) Hungary EU27 Older people (50-64 years old) 6
HU ENTREPRENEURIAL MOTIVATIONS 45 40 35 30 25 20 15 10 5 0 35 30 25 20 15 10 5 0 Necessity entrepreneurship Overall average Men Women Youth (18-30 years old) Innovation Overall average Men Women Youth (18-30 years old) Hungary EU27 Older people (50-64 years old) Older people (50-64 years old) Women more likely necessitydriven less keen to innovate, more risk-averse Youth more likely to start on a business opportunity aiming for innovative products higher expectations (export, job creation) 7
HU PRODUCT MARKET REGULATION (OECD) 4,0 3,5 3,0 2,5 2,0 1,5 1,0 0,5 0,0 1998 2003 2008 2013 Overall score Complexity Other barriers to T&I Public ownership Admin. burden Explicit barriers to T&I Gov. involvement Regulatory protection Legend: 0 most competition-friendly, 6 least competition-friendly regulatory environment 8
4,5 4 3,5 3 2,5 2 1,5 1 0,5 0 ENTREPRENEURIAL ECOSYSTEM (GEM) Hungary Poland Slovakia Cultural and Social Norms Physical Infrastructure Enterpreneurial Finance Government Policies: Support and Relevance Government Policies: Taxes and Bureacracy Internal Market Opennes Government Enterpreneurship Programs Internal Market Dynamics Enterpreneurial Education at School Stage Commercial and Legal Infrastructure R&D Transfer Enterpreneurial Education at Post School Stage Legend: 1 - perceived as worst, 5 perceived as best 9
POLICY FRAMEWORK National strategies and programmes (2014-2020: SME strategy, NES, NYS, 2016-2020 DSS) Ongoing strategic revisions (SME, NYS) Explicit focus: youth, women New target group(?): people over 40-45 (DSS) Implementation bodies are clear Lack of quantifiable targets, baselines Lack of clear strategic actions, fuzzy monitoring 10
POLICY MAPPING SKILLS, FINANCE, CULTURE Reference Targeting (group-specific, geographic) Group-specific measures Enter the market! 25-35 years old Nationwide Managing Body Funding Focus on Access to finance National Employment Fund Non-Profit Ltd. National Employment Fund Small-scale grant Entrepreneurship skills Training Entrepreneurial culture and social capital Be a young entrepreneur in Hungary! GINOP 5.2.3 GINOP 5.2.7 VEKOP 8.3.1 18-30 years old Convergence regions /18-30 years old (18-25 YG, 25-30 graduates) Central Hungary MoNE in partnership with regional consortia /National Employment Fund Non-Profit Ltd. European Regional Development Fund and national budget /European Social Fund and national budget Small-scale grant Training EU Money Week Primary schools Money Compass Foundation MoNE, MHC Entrepreneurship education in secondary edu Grade 7-10 Money Compass Foundation MoNE, MHC National budget National budget Thematic weeks on entrepreneurshi p Teaching module in formal education 11
Mainstream / generic measures Start Up support Generic PES offices at National Small-scale POLICY MAPPING LACK OF A POLICY MIX Nationwide county level Employment Fund grant Entrepreneurial mindset GINOP 1.1.2 Generic preferential treatment of young/female entrepreneurs Convergence regions MoNE European Regional Development Fund and national budget Financial literacy, mentoring and coaching Technological capacities/ job creation GINOP 1.2.1 VEKOP 1.2.1. GINOP 1.2.2. Generic preferential treatment of young/female entrepreneurs Convergence regions/ Central Hungary MoNE European Regional Development Fund and national budget Grant for established firms Access to finance GINOP 1.2.3-8.3.4-16 Generic preferential treatment of young/female entrepreneurs All regions MoNE European Regional Development Fund and national budget Grants combined with microcredit Boost market entry GINOP 1.3.1. Generic preferential treatment of young entrepreneurs Convergence regions MoNE European Regional Development Fund and national budget Training and special consultancy services on market entry 12
POLICY EVIDENCE ON EFFECTIVENESS Lack of appropriate monitoring data Financial instruments are more cost-efficient than grants Financial support does NOT produce significant productivity gains Minor positive employment effects at firm level Effects seem to be slightly larger in micro-regions in disadvantaged situation Helping more likely better-than-average firms (own resources, more informed, have capacities) Lack of effective targeting may contribute to creamskimming BI 2012, BI 2015, Equinox 2015, Equinox 2016, Sipikal-Pisar 2013 13
POLICY ASSESSMENT PRELIMINARY RESULTS STRENGTHS Simplification in licensing Tax simplification (KATA - highly selective!?) Cutting red tape (but still high administrative burdens) Ongoing strategic revisions WEAKNESSES Uncertainties and inconsistencies in business regulation Effective barriers to entry (equity, chamber fee), limited competition Lack of explicit strategic priorities & targets (ignoring seniors, migrants, Roma) Lack of group-specific monitoring data, reports (data linking?) 14
POLICY ASSESSMENT PRELIMINARY RESULTS STRENGTHS Combined support for youth (grant, training, mentoring) PES with the possibility to adapt schemes to local needs (VVT) WEAKNESSES Cream skimming - prohibitive entry requirements (own capital /information/ capacity) PES with limited capacities, lack of effective incentives (VVT) Emerging focus on entrepreneurial and financial education Strengthening cooperation w/ business sector (role models, awards) Delays in implementation, lack of coordination between implementing bodies Lack of quantification of policy impacts 15
PRELIMINARY POLICY RECOMMENDATIONS Include key under-represented and disadvantaged groups (e.g. youth, seniors, women, Roma) in strategic documents related to entrepreneurship promotion and support Strengthen monitoring and evaluation activities for entrepreneurship initiatives Continue to make improvements to business environment (regulatory simplification, admin.burden) Introduce more flexibility into the youth support schemes (diversification of financial tools, sensitive to project cycle) Improve implementation (GINOP/VEKOP MAs, local PES) Strengthen partnerships, start pilots with non-governmental (civil, business organisations) 16
FINAL REMARKS Intrinsic difficulty of becoming an entrepreneur Not suited to all! A ka Baumol (1990): institutional environment & human experimentation /creativity as key to productive entrepreneurship and thereby to growth Balanced policy mix: group-specific measures as well as those aimed at improving regulatory environment, easing market entry (instead of be biased by rentseeking) Beyond entrepreneurship policies: Improve the quality of basic education (creativity, team work, state-of-the-art skills & competencies) Combat corruption, rent-seeking (level playing field) 17
LIST OF REFERENCES Baumol 1990. Entrepreneurship: Productive, Unproductive, and Destructive, Journal of Political Economy, Vol. 98, No. 5,, pp. 893-921 Blanchflower, d. g. Oswald, A. 1991. Self-Employment and Mrs. Thatcher s Enterprise Culture. LSE Economic Performance, discussion paper, no. 30. Budapest Intézet BI 2013. KKV-k komplex technológiafejlesztését célzó beavatkozások hatásvizsgálata. NFÜ Budapest Budapest Intézet BI 2015. True and false remedies for long-term unemployment in the Visegrad countries. Policy Brief 2014-1. BudapestBlanchflower-Meyer 1991 Bosma, N., R. Harding 2007, Global Entrepreneurship Monitor: GEM 2006 Summary Results, Babson College, London Business School Düll 2011. Youth Self-Employment in Europe. Presenation at the EEPO Workshop, 28 November 2011, Brussels, Belgium Eurofund 2011. Public measures to support self-employment and job crearion in one-person and micro enterprises. Dublin. Equinox 2015. Comparative counterfactual impact evaluation of repayable and non-repayable financial assistances to SMEs in Hungary, MEH. Budapest. Equinox 2016. Kockázati tőkeprogramok eddigi eredményességének értékelése. MEH. Budapest. Harding, R. 2003. Global Entrepreneurship Monitor Business. Start-Up Activity, London Business School, London. OECD 2012a. Policy Brief on Senior Entrepreneurship. OECD Paris. OECD 2012b. Policy Brief on Youth Entrepreneurship. OECD Paris. OECD 2014. Policy Brief on Sustaining Self-Employment. OECD Paris. Rostam-Afschar, D. 2010. Entry Regulation and Entrepreneurship: Empirical Evidence from a German Natural Experiment. Frei Universitat Berlin, Discussion Papers 2010/24 Scharle, Á. 1999. Önfoglalkoztatás, munkanélküliség és családi kisvállalkozások Magyarországon, Közgazdasági Szemle, Vol. 97., pp. 250 274 Sipikal-Pisar 2013 Smallbone, D., Welter, F. 2004. Entrepreneurship in Transition Economies: Necessity or Opportunity Driven? 18
THANKS FOR ATTENTION! petra.reszketo@budapestinstitute.eu www.budapestinstitute.eu 19
HISTORICAL TRENDS MEN & WOMEN SELF- EMPLOYEMENT RATES 25,0 20,0 15,0 10,0 HU men V4 men EU men HU women V4 women EU women 5,0 0,0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 20
25,0 HISTORICAL TRENDS SENIOR & JUNIOR SELF- EMPLOYMENT RATES 20,0 15,0 10,0 HU senior V4 senior EU senior HU junior V4 junior EU junior 5,0 0,0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 21
DYNAMICS OF GENDER/GENERATION GAPS IN SELF-EMPLOYMENT 10,0 9,0 8,0 7,0 6,0 5,0 4,0 3,0 2,0 1,0 Hungary V4 average EU average 18,0 16,0 14,0 12,0 10,0 8,0 6,0 4,0 2,0 0,0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 0,0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 22
HU UNEMPLOYMENT RATES 15,0 10,0 5,0 0,0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-5,0-10,0-15,0-20,0-25,0 HU Gender gap HU Generation gap Hungary V4 EU-28 23