Some thoughts on productivity and Greece

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Some thoughts on productivity and Greece Nikos Vettas Professor, Athens University of Economics and Business General Director, IOBE (vettas@iobe.gr, www.iobe.gr, http://www.aueb.gr/users/vettas) Bank of Greece, April 25 th, 2016

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 GDP change % 12 10 8 6 4 2 0-2 -4-6 -8-10 CY FR DE GR IE IT PT ES Country Avg. Growth Rate 1994-2007 Country Avg. Growth Rate 1994-2007 Germany 1.7% France 2.3% Ireland 7.4% Italy 1.7% Greece 3.6% Cyprus 4.5% Spain 3.6% Portugal 2.3% Sources: The Conference Board Growth and Total Factor Productivity database, AMECO database 2

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Determinants of GDP change in Greece 4 2 0-2 -4-6 -8-10 -12 Labor Quality Capital Services (ICT Assets) Growth of Total Factor Productivity Labor Quantity Capital Services (Non-ICT Assets) Source: The Conference Board Growth and Total Factor Productivity database 3

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Contribution of Total Factor Productivity to GDP change 12 10 8 % 6 4 2 0-2 -4-6 -8-10 CY FR DE GR IE IT PT ES Country Share of TFP to change 1994-2007* Country Share of TFP to change 1994-2007* Cyprus 0.4 Ireland 0.1 France 0.2 Italy -1.2 Germany 0.7 Portugal -0.2 Greece -0.2 Spain -0.1 Source: The Conference Board Growth and Total Factor Productivity database * TFP contribution to GDP change / GDP change 4

Analysis of Growth and TFP in Greece, IOBE, 2008 Sector and country analysis for a period of 35 years (1970 2004) Cobb Douglas production function, with a translog multilateral functional form, bottom up estimation approach Three factors of production: labor, capital and intermediate inputs Output oriented technical efficiency (inclusion of an asymmetric disturbance term, following a semi-defined distribution) No calculations of capacity utilisation and allocative efficiency, due to lack of data about the prices of inputs in some of the sectors Maximum likelihood estimation method 5

Decomposition of Output Growth TFP was the main determinant of product growth (gross value added) in the overall period. However: This was the result of TFP s dominant role in the 1970s and of its significant contribution to growth during the 1980s The TFP became negative since the 1990s and was not boosted by the widespread use of information technologies, as was the case in more advanced countries (e.g. the U.S.) Significance of factors of production: Intermediate inputs growth was of high importance during all the subperiods Fixed capital s contribution was dominant for growth during the 1990s and in the beginning of the 2000s Labor exhibited the smallest significance for output increase 6

Determinants of Gross Value Added changes (1970-2004) Sector %ΔΥ* %ΔM %ΔC %ΔL TFP Residual Agriculture and Fishing 0.52 0.49 0.37-0.20-0.16 0.01 Mining and Quarrying 3.14 0.32 0.64-0.12 2.90-0.59 Food products and Beverages 2.31 0.54 0.38 0.01 1.51-0.13 Textiles and textile products 0.35 0.06 0.25-0.26 1.19-0.88 Leather and Leather products -0.77-0.75 0.58-0.35 1.58-1.83 Wood and Wood products 0.04-0.13 0.66-0.16 0.93-1.26 Paper products; Publishing; Printing 1.33 0.19 1.28 0.12 1.55-1.80 Coke; Refined Petroleum products 2.10 0.25 0.39 0.30 2.81-1.64 Chemical and Chemical products 4.15 1.05 0.63 0.03 2.25 0.18 Rubber and Plastic products 3.17 0.82 1.07 0.06 2.78-1.57 Other Non-Metallic products 3.40 0.85 0.75-0.07 1.78 0.09 Basic metals and Fabricated Metals 3.94 1.21 0.64 0.04 1.68 0.36 Machinery and Equipment n.e.c. 4.00 0.75 1.01 0.08 3.08-0.92 Electrical and Optical Equipment 2.33 0.61 0.60-0.10 2.22-1.00 Transport Equipment 2.91 0.56 0.64 0.13 2.24-0.66 Manufacturing n.e.c. 3.12 0.48 1.27-0.02 3.41-2.03 Electricity, Gas and Water supply 3.30 0.50 1.31 0.21 2.25-0.97 Construction 3.15 2.43 0.50 0.25-0.34 0.32 Transport; Storage; Communication 4.25 2.50 1.17 0.14 0.30 0.14 Wholesale and Retail Trade 3.57 3.03 0.01 0.47-0.35 0.40 Financial Intermediation; Real Estate 3.80 2.06 1.19 0.71-0.76 0.61 Public Administration, Defence 4.11 3.09 1.48 0.18-0.44-0.20 Health; Social Work; Education 4.40 1.43 2.53 0.27-0.31 0.48 Hotels - Restaurants; Other services 5.15 3.87 1.36 0.87-1.11 0.16 Average (non-weighted) 2.82 1.09 0.86 0.11 1.29-0.53 Source: IOBE *Y = Gross Value Added, M = Intermediate Inputs, C = Capital, L = Labour 7

Decomposition of Total Factor Productivity Sector TFP trends Increasing TFP during the overall period only in Industry (Mining and Quarrying, Manufacturing sectors, Electricity Gas Water supply) TFP decline in the Primary sector, in Construction and in all the Services sectors excluding Transports, due to falling TFP trends during the 1990s and in 2000 2004 Total Factor Productivity determinants Not statistically significant role of public capital; TFP was determined by technological progress, technical efficiency and returns to scale High and stable positive contribution of technological progress Continuously falling technical efficiency during the examined period, with a negative and increasing impact on TFP Positive effect of returns to scale only during the 1970s. Their negative impact afterwards did not exceed that of technical inefficiency. 8

Sector contribution to Total Factor Productivity (%)* Sector 1970-80 1980-90 1990-00 2000-04 1970-04 Agriculture and Fishing 0.02 0.06-0.07-0.13-0.01 Mining and Quarrying 0.04 0.04 0.03 0.02 0.04 Food products and Beverages 0.13 0.13 0.13 0.06 0.12 Textiles and textile products 0.06 0.08 0.05 0.02 0.06 Leather and Leather products 0.04 0.01-0.01 0.00 0.01 Wood and Wood products 0.02 0.00 0.00 0.00 0.01 Paper products; Publishing; Printing 0.05 0.01 0.02 0.00 0.02 Coke; Refined Petroleum products 0.11 0.13 0.04 0.13 0.10 Chemical and Chemical products 0.09 0.06 0.03 0.03 0.06 Rubber and Plastic products 0.06 0.02 0.01 0.01 0.03 Other Non-Metallic products 0.06 0.03 0.02 0.02 0.04 Basic metals and Fabricated Metals 0.10 0.09 0.04 0.03 0.07 Machinery and Equipment n.e.c. 0.03 0.01 0.02 0.00 0.02 Electrical and Optical Equipment 0.07 0.03 0.02 0.01 0.03 Transport Equipment 0.06 0.03-0.01 0.03 0.03 Manufacturing n.e.c. 0.03 0.01 0.01 0.01 0.01 Electricity, Gas and Water supply 0.05 0.08 0.09 0.07 0.07 Construction 0.12 0.15-0.28-0.48-0.06 Transport; Storage; Communication 0.06 0.19-0.04-0.35 0.02 Wholesale and Retail Trade 0.12 0.02-0.25-0.38-0.08 Financial Intermediation; Real Estate -0.17-0.24 0.00-0.42-0.17 Public Administration, Defence 0.10 0.02-0.32-0.05-0.06 Health; Social Work; Education 0.12-0.12-0.05-0.30-0.05 Hotels - Restaurants; Other services 0.05-0.12-0.31-0.55-0.18 Average (weighted) 1.430 0.693-0.818-2.229 0.122 Source: IOBE * Sector weighting with Domar weights 9

Contribution of TFP components (1970 2004) Sector Technological Technical Returns to Total Factor Progress Efficiency scale Productivity Agriculture and Fishing 2.29-1.91-0.54-0.16 Mining and Quarrying 2.75-0.06 0.21 2.90 Food products and Beverages 2.56-1.02-0.01 1.51 Textiles and textile products 2.53-1.33-0.01 1.19 Leather and Leather products 2.38-0.47-0.33 1.58 Wood and Wood products 2.62-1.92 0.23 0.93 Paper products; Publishing; Printing 2.53-1.55 0.57 1.55 Coke; Refined Petroleum products 2.91-0.41 0.31 2.81 Chemical and Chemical products 2.65-0.83 0.43 2.25 Rubber and Plastic products 2.57-1.03 1.24 2.78 Other Non-Metallic products 2.67-1.28 0.39 1.78 Basic metals and Fabricated Metals 2.66-1.01 0.03 1.68 Machinery and Equipment n.e.c. 2.46-0.99 1.61 3.08 Electrical and Optical Equipment 2.60-0.97 0.59 2.22 Transport Equipment 2.46-1.03 0.81 2.24 Manufacturing n.e.c. 2.41-0.60 1.60 3.41 Electricity, Gas and Water supply 2.94-0.10-0.59 2.25 Construction 2.82-0.91-2.25-0.34 Transport; Storage; Communication 2.69-0.38-2.01 0.30 Wholesale and Retail Trade 2.37-1.52-1.20-0.35 Financial Intermediation; Real Estate 2.63-1.54-1.85-0.76 Public Administration, Defence 2.26-2.31-0.39-0.44 Health; Social Work; Education 2.37-1.58-1.10-0.31 Hotels - Restaurants; Other services 2.69-0.87-2.93-1.11 Average (non-weighted) 2.58-1.07-0.22 1.29 Source: IOBE 10

Determinants of Labor Productivity Increasing labor productivity throughout the examined period (+ 2.2%), though with fluctuations in the rate of growth Fastest increase in the 1970s (+2.7%), slowest during 2000-2004 (+1.4%) Labor Productivity determinants Labor productivity growth mainly due to TFP increase Similar positive effects from the changes in capital per person employed and intermediate inputs per person employed 11

Characteristics of new businesses in Greece Study for the Bank of Greece, completed in 2015 Survival of new businesses before and after the onset of the economic crisis (up to 2012) Factors affecting the survival and exit of new businesses (financial, size, etc.) Sectors with high concentration of new surviving businesses Regions attracting most of new surviving businesses Strategies followed by new businesses that managed to survive during the crisis (e.g. export orientation, innovation) 12

Demographic characteristics of Greek businesses* * Figures are estimates for 2014 produced by DIW Econ, based on 2008 2012 figures from the Structural Business Statistics Database (Eurostat). The data cover the non financial business economy, which includes industry, construction, trade and services (NACE Rev. 2 sections B to J, L, M and N), but not enterprises in agriculture, forestry and fisheries, as well as the largely non market service sectors, such as education and health. Source: Small Business Act, Fact Sheet 2014, European Commission 13

Does knowledge and Information Technologies that boost productivity, encouraged entrepreneurship during crisis? 20% 18% 16% 14% 12% 10% 8% 6% 4% 2% 0% Share of knowledge intensive enterprises in new businesses, 2000-2007 & 2008-2012 Knowledge intensive services Knowledge intensive business services 2000-2007 2008-2012 Business services that use/produce information and communication technologies Manufacturing firms that use/produce information and communication technologies Unfavorable macroeconomic conditions discouraged the entry of new firms operating in Knowledge and ICT intensive industries Only 6% of those firms that founded during period 2008-2012 belong to knowledge intensive sectors. The corresponding percent during period 2000-2007 was nearly 20% Sources: Hellastat - Financial Statements Database data processing IOBE 14

But knowledge and ICT intensive firms exhibit a lower percentage of exit during period 2008-2012 16% Share of knowledge intensive enterprises in business exits, 2000-2007 & 2008-2012 14% 12% 10% 8% 6% 4% 2% 0% Knowledge intensive services Knowledge intensive business services Business services that use/produce information and communication technologies Manufacturing firms that use/produce information and communication technologies 2000-2007 2008-2012 Sources: Hellastat - Financial Statements Database data processing IOBE 15

Business classification: Technological Performance & Innovation intensity IOBE & Labour of Industrial and Energy Economics field research in 2000 of the largest Greek firms (2011 2013), for the Hellenic Federation of Enterprises (SEV) Typology Category A: the «high innovation-intensive» Category B: the «middle innovation-intensive» Category C: the «low innovation-intensive» Identification Product innovation and process innovation: 443 firms (21.9% of the sample) 984 firms (48.6% of the sample) No innovation 598 firms (29.5% of the sample) 61% large firms 46% large firms 33% large firms Differences 86% applies vocational education and training 30% conducts some R&D in house 70% export 79% applies vocational education and training 25% conducts some R&D I 44% export 60% applies vocational education and training 14% conducts some R& 32% export (tourism) 16

Effects of structural reforms on the technical efficiency of tradeable sectors On going study for the Bank of Greece First Stage: Analysis of the reforms in the regulatory framework of tradeable sectors, as well as of horizontal reforms. Examination of the degree of their implementation. Second Stage: Creation of a database with firm and sector level data, in order to examine the effects of structural reforms on the technical efficiency of tradeable sectors; Business demographic analysis (e.g. entry, exit, average size) Third Stage: Exploration of the effects of reforms and of firm/industry specific characteristics on the technical efficiency by estimation of a translog Production Frontier Model 17

Some (policy) points (1) Capital reallocation (2) Labor reallocation (3) Size of firms (4) Total Factor Productivity (5) Competition (e.g. Katsoulacos & Vettas, 2005) (6) The Europe perspective (7) Capital and investment (8) Human capital and innovation 18