Table 1
Distribution of the GCI indicators by the data source (%)
| Pillar | Executive Opinion Survey | International organization |
|---|---|---|
| (soft data) | (hard data) | |
| 1: Institutions | 50 | 50 |
| 2: Infrastructure | 42 | 58 |
| 3: ICT adoption | 0 | 100 |
| 4: Macroeconomic stability | 0 | 100 |
| 5: Health | 0 | 100 |
| 6: Skills | 67 | 33 |
| 7: Product market | 50 | 50 |
| 8: Labor market | 67 | 33 |
| 9: Financial system | 33 | 67 |
| 10: Market size | 0 | 100 |
| 11: Business dynamism | 50 | 50 |
| 12: Innovation capability | 40 | 60 |
| Total | 45 | 55 |
[i] Notes: GCI, Global Competitiveness Index; ICT, information and communications technology; WEF, World Economic Forum.
[ii] Source: Own elaboration based on the WEF (2018b).

Figure 1
Evolution of the GCI score for LAC, 2007–2017. GCI, Global Competitiveness Index; LAC, Latin American and Caribbean countries.
Source: World Economic Forum. The Global Competitiveness Index dataset 2007–2017.

Figure 2
Evolution of competitiveness in LAC across the 12 pillars. LAC, Latin American and Caribbean countries.
Notes: Only Hispanic LAC countries are considered.
Source: World Economic Forum. The Global Competitiveness Index dataset 2007–2017.
Table 2
GCI scores and countries’ ranks in the labor market pillar for the selected countries, 2018
| LAC | Peru | Colombia | Dominican Republic | Mexico | Brazil | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Score* | Rank** | Score | Rank | Score | Rank | Score | Rank | Score | Rank | Score | Rank | |
| Objective data | ||||||||||||
| Female participation in labor force | 59.1 | 4 | 56.9 | 82 | 66.9 | 67 | 100 | 3 | 44.6 | 89 | 77.3 | 49 |
| Labor tax rate | 85.5 | 5 | 95.8 | 34 | 85.3 | 83 | 85.3 | 83 | 75.6 | 112 | 55.3 | 137 |
| Redundancy costs | 57.5 | 6 | 84.5 | 40 | 73.6 | 71 | 53.8 | 110 | 62.5 | 99 | 76.2 | 66 |
| Workers’ rights | 68.8 | 3 | 70.1 | 71 | 57.7 | 110 | 84.5 | 28 | 56.7 | 112 | 66 | 88 |
| Subjective data | ||||||||||||
| Active labor market policies | 23.8 | 7 | 17.9 | 126 | 30.5 | 92 | 19 | 120 | 25.3 | 109 | 27.6 | 105 |
| Cooperation in labor–employer relations | 52.2 | 6 | 50.7 | 102 | 55.8 | 69 | 56.7 | 63 | 57 | 61 | 46.6 | 117 |
| Ease of hiring foreign labor | 54.7 | 2 | 52.5 | 63 | 51.2 | 71 | 53 | 60 | 55.3 | 48 | 40.6 | 122 |
| Flexibility of wage determination | 59.9 | 7 | 76.3 | 16 | 62.5 | 85 | 59 | 103 | 68.6 | 55 | 51.9 | 124 |
| Hiring and firing practices | 35.4 | 7 | 31.5 | 128 | 38.7 | 109 | 39.3 | 108 | 40.2 | 105 | 20.8 | 138 |
| Internal labor mobility | 60.6 | 2 | 65.6 | 24 | 64.4 | 33 | 68 | 17 | 66.4 | 22 | 29.2 | 138 |
| Pay and productivity | 40.6 | 6 | 42.5 | 96 | 42.5 | 97 | 42.3 | 98 | 45.1 | 82 | 39.5 | 113 |
| Reliance on professional management | 50.6 | 5 | 51.1 | 81 | 51.6 | 78 | 48.2 | 91 | 53.8 | 67 | 56.7 | 58 |
| Pillar 8: Labor market | 55.3 | 4 | 58.8 | 72 | 57.9 | 80 | 61.6 | 51 | 54.4 | 100 | 51 | 114 |
GCI, Global Competitiveness Index; LAC, Latin American and Caribbean countries; WEF, World Economic Forum.
** The regional ranking includes East Asia, the Pacific, Eurasia, Europe, North America, LAC, Middle East, North Africa, South Asia, and Sub-Saharan Africa.
Source: WEF (2018b).
Notes: Ranking covers 140 countries. The rank position is based on the GCI score. If there is a tie among countries, the rank position is based on the raw value, which explains why the Dominican Republic ranks third in the first indicator despite it being in the frontier.
Table 3
Formalization policies in the selected countries
| Peru | Colombia | Dominican Republic | Mexico | Brazil | ||
|---|---|---|---|---|---|---|
| Regulatory environment | Deregulation in hiring and dismissal |
|
| 1990s: Increase in the cost of dismissal |
| 1988: Increase in the minimum overtime pre-mium, in value of paid vacations, in cost of dismissing workers and in payroll taxes |
| Special employment regimes |
| |||||
| Incentives to formalize employment | Reduction in social security contributions for youth |
| 2010: Subsidies for hiring youth who have never held a formal job | 2000: Subsidies for the hiring of young interns | ||
| Reduction in social security contributions for microentrepreneurs and/or SMEs | 2014: Social Security Incorporation Regime (RISS) |
| ||||
| Simplification of business registration for entrepreneurs | 2016: Exemption for the mercantile registry and the first renovation for young entrepreneur companies | 2016: Law on Entrepreneurship | ||||
| Boost enterprise registration and creation | Simplified taxation regimes for MSEs and microentrepreneurs |
|
|
| 2014: Fiscal Incorporation Regime (RIF) |
|
| Single windows for enterprises | 2007: Electronic payroll system | 2006: Planilla Integrada de Liquidacion de Aportes (PILA) | 2014: eSocial | |||
| Simplification of business registration business |
| 2002: Rapid business start-up system (SARE) | 2006: National Network for the Simplification of Registration and Legalization of Companies and Business (REDESIM) | |||
[i] ILO, International Labor Organization; MSE, micro- and small-sized enterprises; SME, small- and medium-sized enterprises.

Figure 3
Evolution of labor market performance in the selected countries, 2007–2017.
Notes: The series subjective is an arithmetic average of the indicators’ scores obtained with business leaders’ opinions.
Source: World Economic Forum. The Global Competitiveness Index dataset 2007–2017.
Table 4
Evolution of WEF’s sampling guidelines and Survey sample size for the selected countries, 2008–2019
| Year | Sample frame lists | Definition of firm size | Average number of respondents | Number of respondents in the selected countries | ||||
|---|---|---|---|---|---|---|---|---|
| Peru | Colombia | Dominican Republic | Mexico | Brazil | ||||
| (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | |
| 2008 | SMEs; large enterprises | Country-specific | 91 | 84 | 128 | 61 | 73 | 180 |
| 2009 | SMEs; large enterprises | Country-specific | 95 | 89 | 235 | 61 | 154 | 181 |
| 2010 | SMEs; large enterprises | Country-specific | 98 | 86 | 195 | 43 | 94 | 168 |
| 2011 | SMEs; large enterprises | Country-specific | 98 | 88 | 137 | 54 | 354 | 185 |
| 2012 | SMEs; large enterprises | Country-specific | 100 | 83 | 286 | 91 | 278 | 143 |
| 2013 | SMEs; large enterprises | Country-specific | 94.7 | 85 | 204 | 56 | 320 | 98 |
| 2014 | SMEs; large enterprises | Country-specific | 92.8 | 85 | 162 | 62 | 340 | 114 |
| 2015 | SMEs; large enterprises | Country-specific | 98.6 | 91 | 162 | 77 | 311 | 197 |
| 2016 | SMEs; large enterprises | Country-specific | 102.8 | 88 | 158 | 78 | 304 | 128 |
| 2017 | Micro and large enterprises, SMEs | <10, 11 −250, >251 | 95.9 | 90 | 134 | 54 | 291 | 103 |
| 2018 | SMEs; large enterprises | ≤249; >250 | 92.25 | 98 | 113 | 59 | 208 | 118 |
| 2019 | SMEs; large enterprises | ≤249; >250 | 97.5 | 112 | 117 | 61 | 161 | 231 |
Table 5
The Survey and the country: percentage of firms with <100 workers in the selected countries, 2008–2019
| 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Peru | The Survey | 2 | 9 | 12 | 16 | – | – | – | – | – | – | – | – |
| The country | 98.4 | 98.4 | 98.3 | 98.3 | 98.3 | 98.5 | 98.4 | 98.4 | 98.4 | 98.0 | 99.1 | 98.4 | |
| 1–10 | 98.2 | 98.2 | 98.1 | 98.1 | 98.0 | 98.4 | 98.2 | 98.2 | 98.2 | 97.8 | 99.0 | 98.2 | |
| 11–100 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.1 | 0.2 | |
| Colombia | The Survey | 52 | 43 | 43 | 49 | – | – | – | – | – | – | – | – |
| The country a | – | – | – | 99.7 | 99.6 | 99.6 | 99.6 | 99.5 | 99.5 | 99.6 | 99.6 | 99.6 | |
| 1–10 | – | – | – | 94.5 | 93.6 | 92.9 | 92.7 | 92.3 | 92.2 | 93.0 | 92.7 | 92.7 | |
| 11–100 | – | – | – | 5.2 | 6.0 | 6.7 | 6.8 | 7.2 | 7.4 | 6.7 | 6.9 | 6.9 | |
| Mexico | The Survey | 15 | 25 | 33 | 38 | – | – | – | – | – | – | – | – |
| The country | – | 99.5 | 99.4 | 99.5 | 99.5 | 99.5 | 99.4 | 99.4 | 99.4 | 99.4 | 99.3 | 99.3 | |
| 1–10 | – | 94.96 | 93.92 | 93.80 | 93.75 | 94.09 | 93.84 | 93.78 | 93.69 | 93.58 | 93.57 | 93.48 | |
| 11–100 | – | 4.53 | 5.50 | 5.66 | 5.70 | 5.41 | 5.52 | 5.61 | 5.70 | 5.81 | 5.76 | 5.83 | |
| Dominican Republic | The Survey | 49 | 46 | 1 | 26 | – | – | – | – | – | – | – | – |
| The country b | – | 95.4 | 96.5 | 96.9 | 96.3 | 95.3 | – | – | 97.2 | 97.2 | 97.3 | 98.1 | |
| 1–10 | – | 66.4 | 70.1 | 71.5 | 69.9 | 70.6 | – | 74.1 | 73.9 | 74.3 | 76.0 | ||
| 11–100 | – | 29.0 | 26.4 | 25.4 | 26.3 | 24.7 | – | – | 23.1 | 23.3 | 23.0 | 22.1 | |
| Brazil | The Survey | 4 | 20 | 23 | 22 | – | – | – | – | – | – | – | – |
| The country c | 99.1 | 99.2 | 99.1 | 99.1 | 99.1 | 99.1 | 99.1 | 99.1 | 99.0 | 99.0 | 98.9 | 99.2 | |
| 1–10 | 88.9 | 88.9 | 88.8 | 88.1 | 87.9 | 87.9 | 87.1 | 86.7 | 86.6 | 86.1 | 85.3 | 87.9 | |
| 11–100 | 10.2 | 10.2 | 10.3 | 11.0 | 11.2 | 11.2 | 12.0 | 12.3 | 12.5 | 12.9 | 13.6 | 11.3 | |
Note: “-” Information not available.
a The classification of firms by number of workers is 1–10, 11–50, and 51–200. Thus, the row 11–100 contains firms that have between 11 and 200 workers.
b For 2008–2018, the classification of firms with <100 workers is 1–9 and 10–99; for 2019, the classification is 1–10 and 11–150.
Source: WEF (2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015b, 2016c, 2017, 2018b, 2019) for the Survey. Official sources have been used to retrieve the business structure in the selected economies: Ministeriode la Producción (by request) for Peru; Confecámaras (by request) for Colombia; Directorio Estadístico Nacional de Unidades Económicas (DENUE) for Mexico; Directorio de Empresas y Establecimientos for the Dominican Republic; Estatísticas do Cadastro Central de Empresas (CEMPRE) for Brazil.
Table 6
Questionnaire of the Survey’s labor market pillar
| Indicator | Question (“In your country...”) | Answer |
|---|---|---|
| 1. Hiring and firing practices | To what extent do regulations allow for the flexible hiring and firing of workers? |
|
| 2. Cooperation in labor–employer relations | How do you characterize labor–employer relations? |
|
| 3. Flexibility of wage determination | How are wages generally set? |
|
| 4. Active labor policies | To what extent do labor market policies help unemployed people to reskill and find new employment? |
|
| 5. Ease of hiring foreign labor | How restrictive are regulations related to the hiring of foreign labor? |
|
| 6. Internal labor mobility | To what extent do people move to other parts of the country for professional reasons? |
|
| 7. Reliance on professional management | Who holds senior management positions in companies? |
|
| 8. Pay and productivity | To what extent is pay related to employee productivity? |
|
[i] Source: World Economic Forum (2018b)

Figure A1
GCI score range, 2017–2019. LAC, Latin American and the Caribbean countries.
Notes: Score in 2017 is a backcast edition with methodology GCI 4.0.
Source: Data for 2018 come from The Global Competitiveness Index (GCI) data set 4.0 2018, and data for 2019 come from the World Bank GCI 4.0: Global Competitiveness Index 4.0.
Table A1
GCI labor market scores in 2007 and 2017
| Overall | Subjective | |||||
|---|---|---|---|---|---|---|
| 2007 | 2017 | ∆ | 2007 | 2017 | ∆ | |
| Peru | 4.12 | 4.27 | 0.32 | 4.31 | 3.89 | –2.87 |
| Colombia | 4.25 | 3.98 | –0.58 | 4.56 | 3.73 | 3.12 |
| Dominican Republic | 4.13 | 3.62 | –1.19 | 4.73 | 3.56 | 2.14 |
| Mexico | 4.09 | 3.77 | –0.74 | 4.56 | 3.92 | 1.82 |
| Brazil | 3.96 | 3.68 | –0.65 | 3.98 | 3.36 | 2.35 |
[i] Notes: Average compound growth rates are shown.
[ii] Source: The Global Competitiveness Index (GCI) data set 2007–2017 (World Economic Forum).