FAO Poverty
FAO Poverty
Module 004
CONCEPTUAL AND TECHNICAL MATERIALS
Impacts of Policies on
Poverty
The Definition of Poverty
Impacts of Policies on
Poverty
The Definition of Poverty
by
Lorenzo Giovanni Bellù, Agricultural Policy Support Service, Policy Assistance
Division, FAO, Rome, Italy
Paolo Liberati, University of Urbino, "Carlo Bo", Institute of Economics, Urbino, Italy
for the
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Impacts of Policies on Poverty
The Definition of Poverty
Table of Contents
1 Summary ................................................................................... 1
2 Introduction ............................................................................... 1
6 Conclusions ...............................................................................13
1 SUMMARY
This module illustrates how poverty can be defined in the context of policy impact
analysis. After reporting and discussing the definition of poverty as “the lack of, or the
inability to achieve, a socially acceptable standard of living”, it discusses the mono-
dimensional and multi-dimensional approaches to the definition of poverty.
Furthermore, the module focuses on the absolute and the relative concept of poverty,
also drawing some analogies and differences with the concept of food security. A step-
by-step procedure, illustrated real case examples, are then provided to guide the reader
through the process of poverty definition for policy impact analysis.
2 INTRODUCTION
Objectives
The aim of this module is to briefly illustrate the main approaches to define poverty,
distinguishing relative and absolute concepts. It will give the user the possibility to learn
the basic differences between these two concepts as well as the appropriate information
to discriminate between them. In addition, the user will learn the main logical steps to
follow when defining poverty in the context of policy impact analysis.
Target audience
The module targets current or future policy analysts who want to work on poverty
issues.
Required background
In order to capture the essential parts of this module, the audience should be familiar
with some basic mathematics, statistics and economics and with the basic concepts of
income and of income distribution.
It belongs to a set of modules that discuss how to define poverty for policy analysis,
how to identify poor and how to measure poverty. To find relevant materials in these
areas, the reader can follow the links included in the text to other EASYPol modules or
references1. A set of useful links to related EASYPol modules is provided in a section at
the end of the document.
3 CONCEPTUAL BACKGROUND
Many public policies impact poor people. Furthermore, some policies are specifically
designed to target the poor in order to fight poverty. In policy work it is therefore
important to be able to identify the poor, to simulate the impact of alternative policies
1
EASYPol hyperlinks are shown in blue, as follows:
a) training paths are shown in underlined bold font;
b) other EASYPol modules or complementary EASYPol materials are in bold underlined italics;
c) links to the glossary are in bold; and
d) external links are in italics
2 EASYPol Module 004
Conceptual and Technical Materials
on poverty, and to rank policy options according to some poverty impact indicators in
order to select the most preferred option. Some tools used for inequality analysis also
prove to be useful for poverty analysis. To this respect, the poverty issue may be seen as
focusing attention at the bottom end of the income distribution, i.e. as a part of the more
general problem of income inequality.
LACK Æ The base case situation for the definition of poverty is that where individuals
lack command over economic resources. For example, an individual may be
considered poor if he/she lacks basic food or shelter or, equivalently, if he/she lacks
income to buy these basic needs.
2
Watts, 1968.
3
See, World Bank, 2001, Poverty Manual, (Chapter 1: The Concept of Poverty and Well-Being).
Impacts of Policies on Poverty 3
The Definition of Poverty
b) How this standard is measured, i.e, what is the variable or the set of variables used to
“capture” the standard of living.
In the case of the uni-dimensional approach, you have to define what the
appropriate single monetary indicator for standard of living is. There are two natural
candidates here, income and expenditures. Total expenditures are often used as an
indicator of poverty, as they better reflect the concept of permanent income of an
individual.
In the case of the multi-dimensional approach, you have to define what the
appropriate list of poverty indicators is and how to weigh them in order to get a
comprehensive vision of poverty. For example, if you have low incomes and good
health, are you richer than an ill individual with more income? If you are illiterate,
yet in good health and with enough food, are you poor? An alternative view of the
multi-dimensional approach could be that of «explaining» poverty with a set of
indicators, leaving the task of defining how poverty is explained by which factor4 to
statistical techniques. This raises the objection that simple correlation is not a causal
relation: are you poor because you are in bad health? Or are you in bad health
because you arepoor? The answers to these questions may entail quite different anti-
poverty policies.
In what follows, the focus will be on «lack of command over economic resources» and
on a uni-dimensional approach. The «capability» approach, although stimulating, has
given rise to an enormous strand of literature, most of which rather technical.
Furthermore, this latter approach is harder to make operational in terms of identifying
poor and measuring poverty and is left for more advanced material.
Finally, an issue that will not be pursued any further in the text, a slightly different
perspective is taken by UNDP, where poverty is taken to be a denial of human rights,
i.e. those rights that are inherent to the person and belong equally to all human beings.
4
An example of this approach is the principal component analysis. See, for example, Cavatassi et al.
2004. One of the most popular approaches to measure welfare in a multi-dimensional perspective is the
Human Development Index (HDI) developed by the United Nations.
4 EASYPol Module 004
Conceptual and Technical Materials
The RELATIVE concept of poverty, on the other hand, refers to a standard of living
defined in relation to the position of other people in the income/expenditure distribution.
In this sense, poverty is basically a phenomenon of inequality. For example, one could
define as poor those individuals that have incomes below 50 per cent of the average
income of the society. Therefore, if average income grows because richer people gain
more, people in relative poverty might increase. This concept automatically reflects
changing social and economic conditions in a given country. The main shortcomings of
this approach is that if poverty is defined as a fixed percentage of some synthetic
indicator of the income distribution (e.g., mean or median), there will be no possibility
to eradicate poverty, unless the income distribution becomes perfectly egalitarian9.
Absolute and relative concepts of poverty have been widely debated in specialised
literature. The main result is that «poverty is neither a strictly absolute nor a strictly
5
See, for example, UNDP, 2003.
6
The multi-dimensional nature of poverty is developed by UNDP through the use of the Human
Development Index (HDI), the Gender-related Development Index (GDI) and the Human Poverty Index
(HPI).
7
This approach has been pioneered by Rowntree, 1901, and Booth, 1902, in Great Britain. The most
popular application of an absolute concept of poverty in industrialised countries is by Orshansky, 1965,
for the US. For a basic and descriptive review of the concepts of absolute and relative poverty, see Seidl,
1998. A critique of the absolutist view of poverty has been developed by Rein, 1970. Poverty concepts
are also discussed for the UNDP by Lok-Desallien, 1997. This latter paper is one of a series of Technical
Support Documents (TSD) developed by UNDP in 1997.
8
The main aspects of these methods are discussed in the EASYPol Module 005: Impacts of Policies on
Poverty: Absolute Poverty Lines.
9
This concept has been developed by Fieghen et al., 1977. who argued that with a relative definition of
poverty, «the poor are always with us».
Impacts of Policies on Poverty 5
The Definition of Poverty
relative concept»10. On the other hand, Sen, 1983, attempts to put in a hierarchy the two
approaches. He defines poverty as “absolute deprivation”, that may be interpreted as a
preference for the absolute concept of poverty when a contradiction arises between
absolute and relative concepts of poverty11. Sen basically rejects the relative concept of
poverty, arguing that there is an irreducible absolutist core in the idea of poverty,
regardless of relative positions (e.g., hunger and starvation may unequivocally be
indicators of poverty).
In addition, Sen, 1983, argues that absolute and relative concepts should not be
confused with VARIABILITY OVER TIME, although variability over time introduces, in
the poverty concept, some elements of relativity. He argues that there is a difference
between achieving relatively less than others and achieving absolutely less than others.
On this ground, he rejects relativity. However, he recognizes that achieving absolutely
less may change over time, according to major changes of society and the economy.
Absolute poverty concepts may therefore be subject to variations over time, as poverty
is always a function of variables reflecting social and economic conditions. For
example, non-food items thought of as non-essential at one stage of the development,
may become essential some years later, calling for an integration of the list of goods
ensuring minimum subsistence. This updating of the absolute concept of poverty,
however, is less automatic in nature than the updating of the relative concept, where the
link with the income distribution prevailing in a given year is parametric (e.g.
50 per cent of mean income).
Absolute poverty concepts could also be adjusted for variability over space, when
comparing poverty across countries. For example, meat may be included in a minimum
subsistence basket in industrialised economies and not in less industrialised countries.
Using the same basket in different circumstances might be quite misleading about the
relative level of poverty across countries. In this sense, absolute concepts of poverty, at
a given time, are relative to the prevailing economic conditions.
Both the absolute and the relative concepts of poverty may be variable
in time and space.
10
Seidl , 1988, p. 79.
11
Seidl, 1988, p. 79, defines this concept as a lexicographic preference for absolute concepts of poverty.
12
See, World Food Summit, 1996. See also, the IFAD, 1996. The paper for the World Food Summit
suggests that increased agricultural production and rural incomes be complemented with a strategy to
move rural investment projects further towards improved nutrition.
6 EASYPol Module 004
Conceptual and Technical Materials
which refers to people’s propensity to fall, or stay, below a pre-determined food security
threshold13.
Food insecurity may therefore fall closely related to an absolute concept of poverty, in
particular to those absolute concepts emphasising the lack of a given “level” of food as
a primary source of poverty. On the other hand, food security depends on three main
factors: availability, stability and accessibility. Availability and stability may be
thought of propaedeutical to guarantee accessibility. Access can be organised if food is
available and stable. To make food available, a given country should be able to either
grow or import sufficient food. Furthermore, this process should be relatively stable
over time. But the final step is that households should have sufficient income (or other
entitlements) to purchase food. Absolute concepts of poverty, therefore, mainly focus on
the ability of households to purchase food. They are therefore most related to
accessibility, rather than availability and stability.
In this sense, food security, in terms of access, and absolute concepts of poverty are
closely related. On the other hand, food security may be thought of as a wider concept
than those underlined by absolute poverty, as it requires policies for availability and
stability of food. The former (availability) is related to the way in which food is
produced, imported and stored; the latter (stability) is related to the way in which food is
made available (market functioning and integration) and to the stock management.
Access, instead, is mainly related to how households can buy food (purchasing power,
resources, etc.)14.
The discussion so far carried out shows that the concepts of absolute and relative
poverty, even though logically distinct, have common features. The above definition by
the World Bank refers to the inability to achieve a “socially acceptable standard of
living”. Note that this socially acceptable standard of living can be defined only by
making recourse to a value judgement on what it is considered socially acceptable at a
given time and in a given space. In communities where hunting is the primary source of
food, a socially acceptable standard of living could be assured by having enough meat
or fish to eat at the end of the day. In industrialised societies the socially acceptable
standard of living could not be achieved unless everybody owns a TV or goes to school.
Therefore, the inability to achieve any absolute standard (whatever defined) often
implies some relative view of poverty.
Analogously, the concept of food insecurity, i.e. the situation where people fall below a
pre-determined food security threshold, requires a value judgement (i.e. to pre-
determine) on what is deemed to be the appropriate threshold, e.g. what is considered an
“active and healthy life”. There is no doubt that the appropriate threshold of food may
vary enormously across different societies. Romer Løvendal et al. (2004; 3), explicitly
recognize that “the nature of this minimum welfare threshold depends on the outcome in
which one is concerned”.
13
See, for example, Romer Løvendal et al., 2004. On food security, see also the material released by the
Food and Insecurity Vulnerability Information and Mapping System (FIVIMS), FAO.
14
Extensive work on food security can be found also in eleven technical guides released by IFPRI, 1999.
Impacts of Policies on Poverty 7
The Definition of Poverty
Finally, the definition of poverty given by Sen, 1992, in terms of “unacceptably low
levels of capabilities” (see above) leaves us with the question of what “unacceptably
low” means. The most likely answer is that “unacceptably low” is related to what a
society, at a given point in time, considers as an unacceptably low level, which involves
a value judgment that contains some elements of relativeness.
The following paragraph will help you to have a comprehensive view of the two
approaches.
Analyse the context in which poverty analysis has to be carried out and the
specific goals of the poverty analysis. Poverty analysis should start with a macro-
view of the area or society to be analysed. In particular, the geographic distribution
of the main socio-economic variables should be spelled out and their variability over
time and space assessed. In the meantime, the goals of the poverty analysis have to
be clarified: what type of policy is under investigation? Is the policy under
investigation likely to have different impacts in different areas? Are the policy
impacts likely to be different in different points in time?
Choose the time and space dimension of the analysis. On the basis of the
preliminary considerations carried out in step 1, the analyst chooses the dimension
of the analysis, i.e. whether it is more meaningful to assess poverty over time, across
space or at a given point in time. For example, the stability of socio-economic
indicators across different areas of a given country may suggest a nation-wide
analysis. Alternatively, their variability among regions may suggest a poverty
assessment by areas 15 . In the same vein, stability or variability over time may
suggest a static or dynamic analysis, respectively 16 . On the other hand, policies
aimed at, or likely to affect in different ways various areas may suggest a detailed
area analysis.
15
To this purpose, the technique of poverty mapping is found extremely useful when significant
geographic variation of the standard of living is expected in a given country. Poverty mapping involves
techniques that permit sufficient disaggregation of a poverty measure to local administrative levels or
small geographical units. The methods used vary from participatory poverty profiles to sophisticated
econometric techniques, but are more related to poverty measurement than to the definition of poverty.
On this topic, see Davis, 2003, and Petrucci et al., 2003. See also Deichmann, 1999.
16
An example of poverty assessment over time and space for Costa Rica can be found in Cavatassi et al.,
2004.
8 EASYPol Module 004
Conceptual and Technical Materials
shelter, etc.). In doing this, consider that over a significant time span, the
characteristics of goods may change (from necessity to luxury goods, etc.). Also
consider that across space, some goods may be more important in, say, rural areas
than in urban areas. Therefore, as far as the required information is available, it is
important to select those goods that have less variability over time and across space
in order to get meaningful results in terms of comparable standard of living. On the
other hand, different goods may enter the list in some years or in some regions. For
example, if electricity is available to all urban households but only to a fraction of
rural households, it may be taken as an appropriate variable to measure the standard
of living of rural households, much less to measure the standard of living of urban
households. This task is usually accomplished by browsing household expenditures,
if available. Data may reveal the consumption pattern of different households in
different areas and with different size and composition. This may help selecting
necessity goods. Alternatively, you can resort to interviewing households and/or
expert judgement. In any case, you should take into account that obtaining
information on which specific goods are needed may be much more difficult than
obtaining information on total income and/or expenditures.
17
Useful references for a multi-dimensional approach are Filmer and Pritchett, 1998, and Cavatassi et al.,
2004, both using a principal component analysis. The principal component analysis is a factor analysis
aimed at reducing a given number of variables by extracting a linear combination which best describes
them and at transforming them into one index.
Impacts of Policies on Poverty 9
The Definition of Poverty
Step 1 – Context and goals of the poverty analysis. In order to assess the anti-poverty
effect of the Jamaican Food Stamp Program, the authors start by investigating the policy
context (p.2). They say that: «Jamaica’s policy reform efforts cover over a fifteen year
span and have yielded mixed results. The oil shocks of the early 1970s coupled with the
decline in prices of bauxite – the major export crop – resulted in a decline in real
18
Ezemenari and Subbarao, 1998.
10 EASYPol Module 004
Conceptual and Technical Materials
GDP and labor income in 1973 and 1980. In order to minimize the adverse
consequences of a decline in income, the government increased public expenditures on
social services, expanded employment in the public sector, increased the money
supply and wages. As a result, government expenditure as a percent of GDP increased
from 5 percent to 24 percent of GDP. The share of subsidies in national disposable
income increased from 2 percent to 6 percent between 1976 and 1977. By 1980, the
fiscal deficit as a percent of GDP was 18 per cent. In 1984, the government
implemented strict fiscal austerity programs and cut public employment, labor costs,
and social services. Minimum wages fell by 11.8 percent from September 1983 to July
1985. Fifty of 330 public entities were phased out. Price controls and subsidies were
removed, and minimum farm-gate prices for key export crops were introduced.
Generalized food subsidies were replaced by a targeted food assistance to the poor.
Fiscal and monetary policies continued to be expansive, fueling inflation. The
exchange rate was fully liberalized in October 1991, which was followed by a
substantial devaluation of the Jamaican dollar. The Government of Jamaica
implemented the Food Stamp Programme in 1984.»
Step 2 – Time and space dimension of the analysis. Since the study concentrates on
the impact of a specific policy on poverty in Jamaica, the spatial dimension of analysis
is the whole country. As data on food stamp programs and households are available
from 1989 to 1991, the time dimension of the analysis is three years. The authors justify
this, by saying that «the period 1989-1991 was chosen because there was a gradual
devaluation of the Jamaican dollar during this period ending in the major devaluation of
1991» (p.15). Note that, ideally, the time dimension of this analysis could have been
extended from 1984 to more recent years. However, because of lack of data, the time
span was limited to three years. This suggests that both time and space dimension may
sometimes be constrained by the availability of information.
Step 5 – Absolute versus relative poverty. The concept of poverty chosen by the
authors is implicitly absolute and defined in terms of expenditure. They experiment two
absolute expenditure levels as thresholds for acceptable standard of living: J$ 6,198 and
J$ 3,657 (both at 1991 prices). The fact that they choose absolute levels of expenditures
means that thresholds for acceptable standard of living would not be automatically
updated with a growth in household expenditure. This choice may be due to various
reasons. One may be that other economic parameters linked to standard of living in
Impacts of Policies on Poverty 11
The Definition of Poverty
Jamaica are defined in terms of absolute income levels, as it is the minimum wage (see
Step 1).
Step 1 – Context and goals of the poverty analysis. The analysis of the socio-
economic framework in which the poverty analysis has to be carried out is not directly
accomplished by the authors. Nevertheless, they refer to a series of studies on the
Russian Federation where a macro-view of the socio-economic context is offered.
Step 2 – Time and space dimension of the analysis. The spatial dimension of the
analysis is confined to a nation-wide view of the Russian Federation. The time
dimension is dictated by available data and confined to two years, 1997 and 1998.
Step 3 – Likely welfare-determining items. The authors try to take into account
different sets of economic resources. In two cases, the indicator is mainly expressed in
monetary terms: the first is the total financial situation of the family; the second is
monthly income net of taxes. In another case, in order to find an overall index of
satisfaction with one’s own life, they complement income indicators with “all aspects
of life”, such as: “marital happiness”, “number of friends”, “having a partner”, “having
work”, “family size” and “age”.
Step 4 – Crucial welfare-determining items. In the two cases where only the
monetary indicator is judged the best indicator of standard of living, the approach is uni-
dimensional. In the case where other aspects of life are included as determinants of the
standard of living, the authors end up to select just one of them, family size. In this case,
the approach is bi-dimensional in the sense that it takes into account income and family
size at the same time.
Step 5 – Absolute versus relative poverty. The authors note that the official poverty
line, in Russia, is defined as the cost of achieving a subsistence food basket multiplied
by 1.3. This official measure of standard of living somehow embodies both absolute and
relative elements. The absolute element is cost of a “minimum” food basket, which can
be considered a sort of subsistence food requirement.. The relative element is that an
“acceptable standard of living” should take into account also non-food items, the reason
why the cost of the food basket is multiplied by 1.3. This means that if the cost of food
basket increases, the acceptable standard of living is automatically updated. The authors
also estimate by their own acceptable standard of living in absolute terms with an
econometric procedure.
19
Ferrer-i-Carbonell and Van Praag, 2000.
12 EASYPol Module 004
Conceptual and Technical Materials
Step 1 – Context and goals of the poverty analysis. The focus on advanced countries
leaves the authors with some space to assume that these countries are relatively
homogenous in terms of social and macroeconomic variables. This may be seen as a
shortcut for Step 1. However, pooling some countries for poverty analysis always
requires that you understand the basic analogies and/or differences among them. This
should never be a random mix of countries.
Step 2 – Time and space dimension of the analysis. The spatial dimension of the
analysis is defined by the set of “advanced countries”. The time dimension of the
analysis covers all years available from the Luxembourg Income Study, on which the
study is based.
Step 5 – Absolute versus relative poverty. Most of the authors’ analysis is carried out
by using 60 percent of the current median income as a threshold to discriminate poor
and non-poor. Therefore, they adopt the concept of relative poverty. Income growth
would automatically update the threshold.
20
Jäntti and Danziger, 1999.
Impacts of Policies on Poverty 13
The Definition of Poverty
corresponding figures for low income countries; b) Pakistan had a ranking of four
among the highest percentages of low birth weight babies; c) maternal mortality was
among the highest in the world; d) the female to male ratio was the lowest in the world.
6 CONCLUSIONS
The discussion about absolute versus relative poverty, the variability of the poverty
concept over time and across space and the link between poverty and food security have
been discussed in qualitative terms. This discussion is preliminary to quantitative
poverty analysis. The accurate analyst will possibly experiment with different concepts
of poverty, in order to make his/her analysis robust to changes in the way poverty is
defined.
7 READERS’ NOTES
Booth A. L., 1902. Life and Labour of the People of London, MacMillan, London, UK.
Cavatassi R., Davis B., Lipper L., 2004. Estimating Poverty Over Time and Space:
Construction of a Time-Variant Poverty Index for Costa Rica, ESA Working
Paper n. 04-21, FAO, Rome, Italy.
Davis B., 2003. Choosing a Poverty Mapping Method, FAO, Rome, Italy.
De Vos K., Zaidi M. A. 1998. Poverty measurement in the European Union: Country-
Specific or Union-Wide Poverty Lines?, Journal of Income Distribution, 8(1),
pp. 77-92.
Deichmann U., 1999. Geographic aspects of inequality and poverty, text for the World
Bank’s Web Site on Inequality, Poverty, and Socio-Economic Performance,
(also available at: http://www.worldbank.org/poverty/inequal/index.htm)
Ezemenari K., Subbarao K., 1998. Jamaica’s Food Stamp Program: Impacts on Poverty
and Welfare, Poverty Group, PREM Network, paper presented at the EDI
Workshop, The World Bank, Washingon DC, USA, December.
Ferrer-i-Carbonell A., Van Praag B. M. S., 2000. Poverty in the Russian Federation,
mimeo, University of Amsterdam, Amsterdam, The Netherlands.
Fieghen G. C., Lansley P. S., Smith A. D., 1977. Poverty and Progress in Britain 1953-
1973, Cambridge University Press, Cambridge, UK.
Impacts of Policies on Poverty 15
The Definition of Poverty
Filmer D., Pritchett L., 1998. Estimating Wealth Effects Without Expenditure Data – or
Tears: An Application to Educational Enrollments in States of India, mimeo, The
World Bank, Washington DC, USA.
FIVIMS, Tools &Tips (available at:
http://www.fivims.net/static.jspx?lang=en&page=toolsandtips)
Gillespie N., 1990. Selected World Bank Poverty Studies: A Summary of Approaches,
Coverage and Findings, Poverty Reduction Handbook, The World Bank,
Washington DC, USA
IFAD, 1996. Paper for the World Food Summit, November, Rome, Italy
IFPRI, 1999. Technical Guides, Washington DC, USA (available at:
http://www.ifpri.org/training/material_tech.htm)
Jäntti M., Danziger S., 1999. Income poverty in advanced countries, LIS Working Paper
n. 193, Maxwell School of Citizenship and Public Affairs, Syracuse University,
New York, USA. (also available at: http://www.lisproject.org/publications/liswps/193.pdf)
Lok-Desallien R., 1997. Review of Poverty Concepts and Indicators, UNDP, New
York, USA.
Orshansky M., 1965. Counting the Poor: Another Look at the Poverty Profile, Social
Security Bulletin, 28/1, pp. 3-29.
Petrucci A., Salvati N., Seghieri C., 2003. The Application of a Spatial Regression
Model to the Analysis and Mapping of Poverty, FAO, Rome, Italy.
Rein M., 1970. Problems in the Definition and Measurement of Poverty, in Townsend
P. (ed.), The Concept of Poverty, Heinemann, Oxford, UK, pp. 46-63.
Romer Løvendal C., Knowles M., Horii N., 2004. Understanding Vulenrability to Food
Insecurity Lessons from Vulnerable Livelihood Profiling, ESA Working Paper
n. 04-18, FAO, Rome, Italy.
Rowntree B. S., 1901. Poverty: A Study of Town Life, MacMillan, London, UK.
Seidl C., 1988. Poverty Measurement: A Survey, in Bös D., Rose M., Seidl C. (eds),
Welfare and efficiency in public economics, Springer, New York, USA. pp. 71-
147.
Sen A., 1983. Poor, Relatively Speaking, Oxford Economic Papers, 35, Oxford
University Press, UK, pp. 153-169.
Sen A., 1985. Commodities and capabilities, North-Holland, Amsterdam, The
Netherlands.
Sen A., 1992. Inequality re-examined, Clarendon Press, Oxford, UK.
UNDP, 2003. Poverty reduction and human rights – A practice note, New York, USA.
Watts H. W., 1968. An Economic Definition of Poverty, in Moynihan D. P. (ed.), On
Understanding Poverty, Basic Books, New York, USA.
World Bank (2001), Poverty Manual, Washington DC, USA (also available at:
http://web.worldbank.org/WBSITE/EXTERNAL/WBI/WBIPROGRAMS/PGLP/0,,contentMDK:20284
296~menuPK:461269~pagePK:64156158~piPK:64152884~theSitePK:461246,00.html )
World Food Summit, 1996. Declaration on World Food Security Plan of Action, Rome,
FAO/World Food Summit, Rome, Italy.
16 EASYPol Module 004
Conceptual and Technical Materials
Module metadata
4. Summary
This module illustrates how poverty can be defined in the context of policy impact analysis.
After reporting and discussing the definition of poverty as “the lack of, or the inability to
achieve, a socially acceptable standard of living”, it discusses the mono-dimensional and
multi-dimensional approaches to the definition of poverty. Furthermore, the module focuses
on the absolute and the relative concept of poverty, also drawing some analogies and
differences with the concept of food security. A step-by-step procedure, illustrated real case
examples, are then provided to guide the reader through the process of poverty definition
for policy impact analysis.
5. Date
November 2005
6. Author(s)
Lorenzo Giovanni Bellù, Agricultural Policy Support Service, Policy Assistance Division, FAO,
Rome, Italy
Paolo Liberati, University of Urbino, "Carlo Bo", Institute of Economics, Urbino, Italy
9. Subtopics
covered by the
module
11. Keywords