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Decentralization and access to social services in Colombia

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Abstract

Decentralization is meant to improve access to public services, but relatively few studies examine this question empirically. We explore the effects of decentralization on access to health and education in Colombia using an original database covering over 95 % of Colombian municipalities. We show that decentralization improved enrollment rates in public schools and access of the poor to public health services. In both sectors, improving access was driven by the financial contributions of local governments. Small increases in own-shares of spending led to surprisingly large increases in the access of the poor in both sectors. Our theoretical model implies that where local information dominates productive efficiency, elected local governments will provide services better tailored to local needs. Decentralizing such services should increase their use by the public. Together, theory and empirics imply that decentralization made the Colombian state more accountable. It provided local officials with the information and incentives they need to allocate resources in a manner responsive to voters’ needs and improve the impact of public expenditures.

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Notes

  1. Colombia’s public accounts classify such items as teachers’ and health workers’ salaries as investments, and not running costs.

  2. Which could allow central government to serve a given population with fewer facilities, and hence, lower cost than numerous local governments would provide.

  3. We consider only non-negative values of g l and g c.

  4. Reversing the order of play and solving for local government as the Stackelberg leader yields symmetric results in which all provision is local unless α<τ. We consider this order of play less realistic.

  5. Health data are available for the period 1997–2004.

  6. More data on a wider variety of local characteristics are collected in Colombia than any other country in the region bar Brazil.

  7. Meaning that we do not combine information from different sources into a single variable.

  8. According to Law 617 of 2000, local taxes and other revenues levied locally belong to municipalities and may be disposed of freely by them. Such revenues differ from central transfers, which must be spent in specific ways on specific public goods. The sources of revenues available to municipalities to finance education and health services combine own resources, including tax and non-tax revenues, and transfers from central government. The latter are divided into transfers for education, health and general purposes. Up to 28 % of transfers for general purposes may be spent on running costs in the smallest and poorest municipalities, and less in larger ones (Articles 78 and 79, Law 715 of 2001). For more on this see Sánchez and Zenteno (2010).

  9. Law 60 of 1993 regulated the transfer system between 1994–2001. According to that law, transfers to municipalities increased with population and relative poverty as measured by Unsatisfied Basic Needs: an index measuring the proportion of the local population for whom a predetermined level of basic needs are unmet.

  10. The proportion of local educational spending undertaken by departmental governments is omitted in order to avoid perfect collinearity.

  11. Fondo de Solidaridad y Garantía (literally the Solidarity and Guarantee Fund).

  12. Departmental health spending in the municipality as a proportion of total health spending is left out of the regression so as to avoid perfect collinearity.

  13. Total funds available locally for education and health include direct transfers from central government to municipalities, indirect spending through departments (states) for non-certified municipalities, and municipalities’ own resources.

  14. Hausman test results for education: chi-square(1)=0.02 with Prob>chi-square=0.8997; for health: chi-square(1)=0.21 with Prob>chi-square=0.6449.

  15. Wooldridge test results for education: F(1,1075)=58.66 with Prob=0.00; for health: F(1,1056)=8.660 with Prob=0.0033.

  16. According to Law 141, those who exploit a non-renewable natural resource must pay a percentage of the value of production in royalties. Percentages vary according to the resource exploited and the amount extracted. Royalties are paid to the Treasury, which distributes these amongst the departments and municipalities where exploitation took place, including exporting ports and municipalities crossed by pipelines.

  17. Note that the dependent variable is not censored/truncated. Observed “zeros” are real zeros, and not failures of measurement or excluded negative values. A 2SLS panel estimation therefore is appropriate. As a check, we also estimated the IV model with a Tobit first stage. The findings did not change.

  18. The second instrument used in the education equation is the land Gini coefficient, under the neoinstitutionalist assumption that the concentration of economic power affects the level of investment in public goods. In the case of health, the second instrument used is FARC guerrilla activity, under the assumption that a municipality confronted with illegal armed groups must divert resources from social to other types of spending, such as security and infrastructure reconstruction (Sánchez and Diaz 2007). Both instruments have the expected sign.

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Acknowledgements

This paper was written while Faguet was on research sabbatical at the Center for Latin American Studies, UC Berkeley, to whom he is grateful for warm hospitality and support. The research was financed by the Corporación Andina de Fomento’s Research Papers Program, a STICERD/LSE New Researcher Award, and the British Academy. We are very grateful to Patricia Rincón, Camila Torrente and Victoria Soto for expert research assistance, and to Robin Burgess, Maitreesh Ghatak, Alain de Janvry, Asim Khwaja, Dilip Mookherjee, Daniel Ortega, Pablo Sanguinetti, Daniel Treisman, Hernan Vallejo, three anonymous reviewers, and seminar participants at STICERD and the LACEA 2008 meetings for their thoughtful suggestions. All remaining errors are ours.

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Correspondence to Jean-Paul Faguet.

Appendix: Data summary

Appendix: Data summary

Variable*

Obs.

Mean

Std. Dev.

Min.

Max.

Education (1994–2004)

Increase in student enrollment in public schools (ln)

10553

0.0238

0.1091

−0.5214

1.5224

Own resources/Total education expenditures

10559

0.0406

0.0731

0

0.9938

Municipal independence

10559

0.0117

0.1045

0

1

Statutory transfers (poverty)/Total education expenditures

10559

0.1744

0.1344

0

0.6580

Statutory transfers (No. of students)/Total education expenditures

10559

0.0351

0.0732

0

0.9960

Municipal expenditure growth

10559

0.0537

0.1688

−0.7263

1.8967

Per capita expenditure on public education (ln)

10559

13.7073

0.3643

11.8198

15.5100

Student/Teacher ratio (lagged)

10559

22.3558

9.1899

0

446.0

University graduates as a share of municipal personnel

10559

0.0696

0.1008

0

0.8937

Population (ln)

10559

9.6355

1.0456

6.3297

15.7657

Unsatisfied basic needs

10559

45.3104

22.2733

1.1293

105.2663

Displaced population, receiving municipalities

10559

0.0014

0.0087

0

0.3503

Displaced population, expelling municipalities

10559

0.0056

0.0245

0

0.7788

Unemployment rate (departmental)

10559

0.1270

0.0849

0.03

0.9990

Public-school gross enrollment rate (lagged) (% of school-age population)

10559

0.9720

0.3906

0.1

2.5000

Private enrollment rate (% school-age pop. in private schools) (ln, lagged)

10559

0.0133

0.0266

0

0.4532

Per capita local taxes (ln)

10559

−4.4642

1.2134

−9.3527

−0.5045

Health (1997–2004)

Increase in health insurance amongst the poor (ln)

6266

0.0829

0.1732

−0.4976

2.4013

Own resources/Total health expenditures

6267

0.0090

0.0321

0

0.8778

Municipal independence

6267

0.0070

0.0800

0

1

Statutory transfers (poverty)/Total health expenditures

6267

0.1340

0.1500

0

0.7360

Statutory transfers (No. of insured poor)/Total health expenditures

6267

0.2600

0.0900

0

0.9180

Municipal expenditure growth

6267

0.0308

0.2179

−0.6820

3.1490

Per capita expenditure on public health (ln)

6267

11.9546

0.5395

8.9660

14.5126

University graduates as a share of municipal personnel

6267

0.0695

0.1010

0

0.8937

Population (ln)

6266

9.6477

1.0588

6.3297

15.7657

Unsatisfied basic needs

6267

42.8152

22.6682

1.1293

104.2634

Displaced population, receiving municipalities

6267

0.0023

0.0112

0

0.3503

Displaced population, expelling municipalities

6267

0.0090

0.0313

0

0.7788

Unemployment rate (departmental)

6267

0.1417

0.0795

0.050

0.9990

% coverage of public health insurance

6267

0.5915

0.4981

0.025

6.8081

Per capita local taxes (ln)

6262

0.0071

0.0239

0.000

0.5450

  1. *Municipal-level expenditure data for education are available from 1994, but only from 1997 for health. Hence we separate data summaries by sector and time periods

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Faguet, JP., Sánchez, F. Decentralization and access to social services in Colombia. Public Choice 160, 227–249 (2014). https://doi.org/10.1007/s11127-013-0077-7

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