Developing Cost-effective and Resilient Land Administration Systems in
Latin America
Grenville Barnes; USA
This article in .pdf-format.
SUMMARY
In this paper I briefly review the wealth of experience in Latin America
with initiatives to strengthen and modernize land administration systems.
The review shows that there is more experience with land administration
projects in this region than in any other. I go on to focus on the question
of costs associated with formalizing property in an attempt to find an
effective means of comparing costs across countries. I approach this by
looking at different ‘levels’ – starting with global budget figures, then
narrowing down to specific components and finally by examining the cost of
individual tasks required to formalize a parcel. A comparative study of
costs in 4 different regions of the world is described together with
preliminary conclusions at the global level. The issue of property
‘deformalization’ is also discussed with respect to transaction costs.
Recognizing that land administration systems, and the economic, social
and natural environments within which they operate, are continually
changing, I introduce Resilience as an appropriate analytical framework
through which to examine changing systems.
Resilience has evolved as a more nuanced framework for understanding the
sustainability of socio-ecological systems. Unlike previous approaches, it
accepts that a system will always be subject to disturbances, whether they
are due to climate (hurricanes), policy and political administration
changes, or demographic shifts due to urbanization or migrant labor markets.
RESUMEN
Esta exposición revisa la gran experiencia en América Latina
sobre las iniciativas para fortalecer y modernizar los sistemas de
administración de tierras. El repaso indica que hay mas experiencia en este
region con pryetos de adminsitracion de tierras que en cualquier otra region
del mundo. El primer parte enfoque en la cuestion de costos vinculado a la
formalización de la propiedad con el motivo de identificar medios aptos para
comparar costos entre diferentes paises. Esta analisis incorpora el estudio
de costos en diferentes niveles – empezando con costos presupuestos
globales, despues enfocando el nivel de componentes individuales y
finalmente se examina los costos para diferentes actividades en el proceso
de formaliza una propiedad. Se discutir un estudio de costos en cuatro
diferentes regiones del mundo y ciertos conclusiones preliminares al nivel
global. Esta discusión incluya tambien la cuestion de ‘deformalización’ de
propiedad con respeto a los costos transaccionales.
Reconozco que sistemas de administración de tierras, y el
ambiente económico, social e ecológico en que el sistema opera, siempre esta
cambiando, se introduzca el Resiliencia como una rama analítica apropiada
para analizar los dinámicos del sistema.
Finalmente, examinaré los sistemas de administración de
tierras a través del lente de ‘resilencia.’ La resilencia se ha desarrollado
como un marco matiz para examinar la sostenabilidad de sistemas
socio-ecologico. A diferencia de previos acercamientos, éste acepta que el
sistema siempre esté sujeto a disturbios, sea a consecuencia del clima
(huracanes), cambios políticos o administrativos, o a desplazamientos
demográficos a causa de la urbanización o migración de mercados laborales.
1. INTRODUCTION
It was appropriate to hold the recent regional FIG conference in Costa
Rica as this country was one of the first countries in the region to
implement what today would be regarded as a land administration project. The
1964 USAID-funded “cadastral survey project” was the pioneer land project in
Central America (Goldstein 1974). The focus of that project was to improve
the property tax system and complete a topographical mapping project which
would provide information for tax, land planning and development purposes.
Similar projects followed soon afterwards in Panama, Nicaragua and
Guatemala, all focused strongly on property taxes, with additional
components addressing natural resource management and land titling in some
cases.
During the 1980s the World Bank began to fund several large land projects
in Latin America and elsewhere. The first two to be completed were the
projects in Thailand and NE Brazil (Holstein 1993). The Thailand “land
titling project,” the ‘mother’ of all land titling projects, started in
1985. This has been a significant project for two reasons. Firstly, it is
regarded as a highly successful project. Secondly, it has been the proving
grounds for the evolutionary theory of land rights (ETLR) which served as
the underlying rationale for many of the subsequent land projects that
followed in the next two decades. Many of the assertions or hypotheses
internal to the ETLR have been empirically proven using the experience of
Thailand (Feder et al 1988). Data was gathered and analyzed to demonstrate
the correlation between titling and access to credit, reduction in property
disputes, facilitation of the land market, and increasing land values (Feder
and Nishio 1996). Based partly on these positive outcomes in Thailand, land
administration projects proliferated throughout the developing world.
Within Latin American the North East Brazil “national land administration
project” was the forerunner of a series of land administration projects in
the region (World Bank 1985). USAID continued to fund land titling projects
throughout the 1980s, including the “land titling projects” in Honduras and
Ecuador (USAID 1985). However, the most successful of the USAID-funded
projects may have been the “Land Titling and Registration Project” in St.
Lucia (USAID 1983). The island-wide land adjudication process was completed
within the originally scheduled time – this by itself may be a unique
achievement amongst land administration projects which invariably stretch
beyond the time frame set out in the project design.
The World Bank has funded land administration projects throughout Latin
America, and even by 1998 a study of World Bank projects revealed that there
were “..115 projects with land-related activities in the Bank’s
portfolio…[and] ..of those, about 40% are in Latin America.” (World Bank
1998, p. 10). Subsequent land administration projects ensued in Bolivia
(1995, 2001), Brazil (1995), Guatemala (1996, 1997), Honduras (2000), Panama
(2000), Nicaragua (2002), Honduras (2003), and El Salvador (2005).
The Inter-American Development Bank has also played a lead role in
funding land administration projects in Latin America and the Caribbean
especially over the past decade – including Trinidad and Tobago (1995),
Nicaragua (1995), Dominican Republic (1997), Belize (1997), Colombia (1997),
Honduras (1998), Jamaica (1999), Costa Rica (2000), Ecuador (2001), Panama
(2002), Brazil (2002), Mexico (2003), Bolivia (2003), Paraguay (2003), and
the Bahamas (2004).
While this is not a complete list of projects it does illustrate the huge
amount of investment that has gone into land administration and property
formalization and therefore the wealth of experience in the region. In the
following section of this paper I bring this experience to bear on certain
key land administration issues, namely the question of costs.
2. COMPARATIVE ANALYSIS OF COSTS
While significant resources have been invested by the donor community in
modernizing land administration infrastructure around the globe, there has
been little systematic discussion and documentation of actual costs. Better
understanding of the underlying issues and the trade-offs involved in
choosing among different technical, legal and institutional options of
providing land administration services is needed. Even though the World
Bank, IDB and other donors have long supported titling interventions all
over the world, surprisingly little is known about the actual costs of such
interventions, both in terms of project implementation and comparative
transaction costs once the new systems are in place. Until recently, little
effort has been made to disaggregate costs into the specific activities
required to formalize a piece of land.
In reviewing previous studies that dealt with costs, there are several
worth mentioning. In 1985 Janice Bernstein at the World Bank documented a
study she carried out entitled “The costs of land information systems.”
(Bernstein 1985) She compiled information on the topic through “a review of
the literature and illustrative programs as well as discussion with experts
in the field…” (p. 5) She concluded early on that “..there is a great need
for coordinated research among international organizations and training
institutions focusing on the economics of land information..” (p. 11) The
report focused largely on the potential for lowering the cost of cadastral
surveys through inertial surveying and GPS, which were just becoming
operational at that time. It also focused on methods for estimating the cost
of photogrammetric mapping. A fully operational GPS/GNSS system, the higher
precision of today’s satellite imagery, and airborne GPS have essentially
reduced the value of this information to one of historical interest. The
study also contributes little towards the development of a comparative
methodology.
Two years later in 1987 a symposium entitled “The Economics of Land
Information” was held in Baltimore, MD, under the auspices of the Institute
of Land Information (ILI 1987). This issue was topical in the US at that
time as GIS was becoming mainstream and county offices were in the process
of digitizing their land information. Approaches discussed at the ILI and
other forums at that time included: (i) an avoided cost approach, where
benefits are construed as the avoidance of downstream costs by making
upstream (often public) investments in, for example, geodetic infrastructure1
– creating the information now means that it does not have to be repeated at
a later time; (ii) a ‘use and value’ approach whereby benefits are gauged
relative to frequency of use – information that is used more often has more
value even though it may have cost the same to produce. The ‘avoided cost’
approach may have some value, but it focuses more on future costs than more
defensible present or past costs. However, both approaches are not that
useful for developing a comparative methodology as they focus more on
benefits than costs.
Other cross-country studies include work done by Dale and McLaughlin
(1988) and Holstein (1993). Their breakdown of costs by activity is compared
with that given by Bernstein (1985) in Table I below.
TABLE I. Percentage Distribution of Costs by
Activity
|
Source |
Mapping |
Adjudication |
Surveying |
Registration |
Institutional
Strengthening |
|
Bernstein2 |
38% |
29%3 |
|
6%4 |
13% |
|
Dale/McLaughlin |
20-25 % |
30-50 % |
20-25% |
10-15% |
|
Holstein |
24% |
18% |
22% |
23% |
13% |
1 See Epstein and Duchesneau
1984
2 Based on the NE Brazil
Project Costs. Other components included Support for Land
Restructuring” (9%), Project Administration (4%) and Studies (1%)
3 Land Tenure Identification
4
Cadastre Implementation
and Titling
None of these three studies provide a robust comparative analysis
methodology, although they do suggest focusing on activities such as
mapping, adjudication, surveying, etc. Even this can be problematic as
surveying may sometimes be included as a sub-component of adjudication (Dale
and McLaughlin 1990).
Gross unit costs are typically used to compare costs across different
projects, without taking into account the significantly different contexts
and approaches. As a result, cadastral and land registration interventions
are often viewed as expensive activities that do not generate sufficient
benefits to justify their costs. Furthermore, no systematic template exists
for collecting data across different countries. The cost issue came to a
head in a 2001 e-conference on “Lessons Learned in Land Administration”
organized by the World Bank (Deininger 2003; Barnes 2003). One participant
shared information on the Peruvian Titling Project (PETT) which had reduced
the cost of formalizing a parcel to approximately $47 per parcel. In
response to this, another participant countered that in Eastern Europe they
were titling at the cost of $1.05 per parcel! Either these two participants
were talking about two completely different processes and products or else
the contextual setting of these two cases was incomparably different.
Clearly there was a need to ‘unpack’ these numbers and develop a framework
for comparing the same process or product.
Following this conference we developed a template of questions and tables
that could be administered at the country level. We approached this by
identifying costs at three different levels – starting from global project
figures and then considering costs at the level of project components, and
finally examining specific costs entailed in converting a parcel of land
into a formal registered property. We also recognized the need to
contextualize these studies so that the cost figures could be considered
against the specific context within which the project was being implemented.
Subsequently, the template was expanded to include an analysis of the
effectiveness of the land administration system. This ‘template’ was then
applied in seventeen countries in four different regions - Latin America and
the Caribbean (El Salvador, Peru, Bolivia, Trinidad and Tobago), E. Europe
and Central Asia (Armenia, Kyrgyzstan, Moldova, Latvia), Asia (Indonesia,
Karnataka, Philippines, Thailand) and Africa (Ghana, Mozambique, Namibia,
South Africa, Uganda). Subsequently, four regional reports were prepared
that summarized the country-level reports (Barnes 2002; Adlington 2002; Land
Equity 2003; Augustinus 2003). Finally a global report was prepared
comparing all countries across the four regions (Land Equity 2007).
Instead of drawing on the general data for the global comparison, I have
widened the LAC scope by considering 11 projects within the region. The data
are drawn from the many project documents I have in my own library as well
as others which are listed on the LandNet Americas portal.5
TABLE
II.
Global Comparison of per parcel Costs - Total Project Costs/Total Parcels
6
|
Project |
Total Budget
US$M |
# Parcels |
Dates |
$/parcel |
Area (MHa) |
$/ha |
|
Peru (PETT1) |
36.5 |
1,000,000 |
1997-2002 |
37 |
na |
na |
|
El Salvador
|
70 |
1,700,000 |
1996-2005 |
41 |
1.9 |
37 |
|
Peru (PETT2) |
46.7 |
170,000 |
2003-2007 |
62 |
3.6 |
13 |
|
Costa Rica (IDB) |
92 |
520,000 |
2002-2007 |
177 |
na |
na |
|
Bolivia (PNAT) |
28 |
10,000 |
1995-2003 |
2800 |
3.7 |
8 |
|
Bolivia (St.
Cruz) |
15 |
140,000 |
2006-2010 |
107 |
na |
na |
|
Ecuador (PRAT) |
16 |
135,000 |
2003-2007 |
119 |
0.6 |
27 |
|
Nicaragua (PRODEP) |
2.4 |
90,000 |
2003-2010 |
27 |
1.4 |
2 |
|
Belize (LMP) |
8.9 |
40,000 |
2003-2006 |
223 |
na |
na |
|
Panama (LARP-IDB) |
72.3 |
120,000 |
2003-2008 |
603 |
0.75 |
96 |
|
Panama (ProNAT) |
47.9 |
80,000 |
2001-2007 |
599 |
1.1 |
44 |
|
Average |
40 |
420,000 |
|
436 |
1.9 |
21 |
|
Average (without
PNAT) |
41 |
|
|
200 |
|
|
|
This kind of comparison is of minimal use partly because
it assumes that the total budget can be associated with the number of
parcels that are either titled or regularized in some way. Costs associated
with legal reform, institutional strengthening, equipment purchases, etc.
are examples of costs that have no relation to parcels, but are still
included in the comparative figures given in Table I. Although the parcel is
the unit of choice when assessing the extent and cost of surveying and
regularization, its cross-scalar nature produces unwelcome complexities. A
‘parcel’ may include any of the following tenure units:
-
small urban lots (e.g. 20m x 30m)
-
peri-urban lots
-
small agricultural parcels (minifundias)
-
medium rural parcels
-
large rural parcels
-
large communally-held parcels (e.g. indigenous
communities)
The scale of a parcel may therefore vary from a small
urban lot to a communal property that may approximate the size of a
municipality. Additionally, at the project design stage the number of
parcels in a jurisdiction or area is often the weakest data available. The
whole motivation for adjudication and titling stems from the fact that there
is no reliable formal parcel information in the registry or cadastre.
Therefore parcel information may be available at the end of the project, but
during design it can only be inferred through estimating average parcel
sizes or consulting census data.
Costs are also estimated on an area (per hectare) basis?
Using the project documents as a source again, those costs that are
available are shown in Table I. Four out of the eleven projects in Table I
do not list area to be titled or regularized in the project document. In the
remainder, the per hectare costs range from $2/ha in Nicaragua to $96/ha in
Panama with an average of $21/ha. This approach to unit costs suffers from
the same problem as mentioned above – it assumes that the cost per unit area
is uniform, ignoring the fact that the multiple scales of parcels contradict
this especially in the fieldwork component. Those projects that contain
several large parcels, such as indigenous communities, skew the cost per
hectare numbers (such as in Nicaragua). It is therefore necessary to look
deeper than these global figures if we are to effectively compare these
projects. It may be more productive to consider the costs of an average size
parcel.
At a more specific level we can examine costs by focusing
on procurement type. Once again, this data is easily available in project
documents, and the results for a small sample of countries is given in Table
III below
TABLE III. Breakdown of Budgeted Costs by Procurement
for Five Countries
|
Procurement Type |
Bolivia
|
El Salvador
|
Guatemala |
Panama |
Paraguay
|
|
Source |
Amount |
% of total |
Amount |
% of total |
Amount |
% of total |
Amount |
% of total |
Amount |
% of total |
|
Civil Works |
0.7 |
2.5 |
2 |
2.9 |
2 |
5.2 |
13.13 |
18.1 |
16.6 |
40.4 |
|
Goods |
|
|
5.7 |
8.1 |
3.3 |
8.5 |
|
|
|
|
|
Equipment |
1.3 |
4.8 |
|
|
|
|
8.87 |
12.3 |
2.1 |
5.1 |
|
Training |
0.7 |
2.4 |
1.6 |
2.3 |
0.9 |
2.3 |
1.93 |
2.7 |
|
|
|
Service Contracts |
11.8 |
43.5 |
15 |
21.4 |
|
|
Consultants |
3.5 |
12.9 |
31.1 |
44.4 |
9.1 |
23.5 |
15.88 |
21.9 |
2.8 |
6.8 |
|
Salaries |
6.6 |
24.2 |
|
|
Regularization |
|
14.4 |
37.1 |
19.13 |
26.4 |
12.1 |
29.4 |
|
Information Campaign |
|
3.5 |
5.0 |
|
|
PPF |
|
2.1 |
3.0 |
2.1 |
5.4 |
12.95 |
17.9 |
|
|
|
Recurrent |
2.6 |
9.7 |
9 |
12.9 |
6.7 |
17.3 |
| |