Community and economic development in Pakistan: the case of Citizen Community Boards in Hafizabad and a Japanese perspectives.
Kurosaki, Takashi
1. INTRODUCTION
In 2001, a scheme called Citizen Community Board (CCB), a kind of
community-based organisation (CBO), was introduced in Pakistan as a
devolution policy, under which local people propose to the local
government development projects through forming a CCB and upon approval
the local government funds 80 percent of the project cost. Since 2001,
however, both the number of CCBs and that of approved projects have been
below the expected level. This raises a concern that the Pakistani
society with limited historical experience in CBO-based development is
too handicapped for the CCB scheme to be successful. Although the number
of empirical studies on Pakistan's CCB scheme has been increasing
[e.g., see Cheema and Mohmand (2004), Cheema, et al. (2006)], our
understanding on conditions for a success of such schemes is limited.
This paper thus attempts to analyse the conditions in the context of
community and economic development in Pakistan from Japanese
Perspectives.
Japan did not achieve the current level of well-being quickly. A
long period of efforts to catch-up to the US exists before we reach the
current level. At the time of Meiji Restoration in 1868, when the
Japanese economy began its modernisation effort, the economy totally
depended on agriculture and the living conditions were desperately low,
much poorer than the level enjoyed by Pakistani people in the 1970s
[Maddison (2003)]. From this humble beginning, the Japanese economy grew
to the current level. In our growth experience, the community played a
significant role [Hirashima and Gooneratne (1996), Ohkama and Kikuchi
(1996), Hayami and Godo (2005)]. Especially, the community's role
was critically important in providing basic social services such as
primary education [JICA (2004)]. The most important geographic unit for
such community initiatives is "Gyosei Son" (administrative
village), which roughly corresponds to "Union" in Pakistan
today. Because of this background, we expect that Japanese perspectives
may have useful implications to the current case of Pakistan. (1) This
expectation motivates this paper.
The role of community in economic development has been one of the
focal issues in the theory of development economics as well [Hayami and
Godo (2005)]. Devolution initiatives with community as a key actor are
expected to contribute to efficiency, accountability, and transparency
of poverty reduction policies through the utilisation of local
information and resources and nurturing the sense of ownership [Bardhan
(2002)]. However, as Bardhan and Mukherjee (2000, 2005) show
theoretically, such initiatives may be vulnerable to the capture by
local elites. Whether the decentralisation and local participation
improve the welfare of disadvantaged people thus becomes an empirical
question. According to the survey by Mansuri and Rao (2004), the
evidence on whether devolution improved targeting and public goods
formation is mixed but tends to be positive trader enabling
institutional environment. Another strand of related literature is
empirical studies on the determinants of collective action to manage
common property resources [see Bandiera, et al. (2005) for a recent
survey]. The existing studies have shown that as determinants of
collective action (especially in irrigation), local variables include
social heterogeneity, group size, asset inequality, and leadership. Most
studies find that inequality and social heterogeneity are detrimental to
successful collective action.
With these two strands of literature as theoretical background,
this paper presents a case study of CCBs in Hafizabad District, Punjab.
Since 2004, JICA (Japan International Cooperation Agency) has been
implementing a project to make the CCB program more effective and
efficient, with Hafizabad as a target district. This paper first
presents the results of statistical analyses regarding the determinants
of successful formation of a CCB and those of successful development
activities conditional on the formation. (2) This is based on the data
we collected in a benchmark survey before JICA's intervention. The
regression results show that the rules within a CCB and the type of
leadership are key to the success of CCB initiatives. Then in the second
part of the paper, we summarise the achievements of JICA's
intervention during the year 2005-06, focusing on the role of field
facilitators.
The paper is organised as follows. Section 2 describes the
background of the CCB scheme in Pakistan and introduces the JICA's
Devolution Support Project. Section 3 summarises the estimation results
of statistical analyses for the CCB's success/failure in Hafizabad
before JICA's intervention. Section 4 describes JICA's ongoing
intervention to improve CCBs. Section 5 concludes the paper with the
directions for further research and policy implications.
2. JICA'S DEVOLUTION SUPPORT PROJECT IN HAFIZABAD
Pakistan is characterised by a moderate success in economic growth
with a substantial failure in human development such as basic health,
education and gender equality. Underlying this situation is a society
with unequal distribution of income and assets where the core network is
based on familial, clan, and tribal relations, with limited historical
experience in CBO-based cooperation in development efforts [JICA
(2003)].
The current government led by Gen. Pervez Musharrafi which came to
power after a military coup in October 1999, has been attempting to
change this situation through two policy measures. The first is the
Devolution Power, implemented through the Local Government Ordnance
(LGO), the first local government elections in August 2001, the second
elections in 2005, and so on. The second policy measure is the Poverty
Reduction Strategy based on the World Bank funded Poverty Reduction
Strategy Paper (PRSP). Devolution is listed as one of the four pillars in the Full PRSP of December 2003 and thus closely linked with poverty
reduction policies in Pakistan.
As one of the innovative schemes to implement Devolution policies,
a new institution called Citizen Community Board (CCB) was introduced
[GHK (2005), Cheema, et al. (2006)]. A CCB is a voluntary organisation
based on the community in which people live. According to LGO, local
people form a CCB with a chairman, a secretary, and general members. A
registered CCB makes a proposal for development projects. The local
government funds 80 percent of the total project cost. Since the
promulgation of LGO in 2001, however, both the number of CCBs and the
number of approved projects have been below the expected level [GHK
(2005) and JICA (2006)].
Against this background, JICA initiated in 2004 a project called
the JICA Devolution Support Project (JICA-DSP) to make the CCB program
more effective and efficient, with Hafizabad as a target district. In
its initial phase in 2004-05, as a benchmark survey, JICA-DSP and
Hafizabad District Government jointly worked to implement an
organisational and institutional survey of local governments [GHK
(2005)] and a socio-economic survey of Unions and CCBs in Hafizabad
[RDPI (2005)].
Hafizabad is a small district on the bank of Chenab River [Kurosaki
(2005)]. It has 42 unions/towns and contains 428 villages/circles. The
district was separated from Gujranwala District in 1993. The landscape
is very flat throughout the district and the majority of farmland is
irrigated. The main monsoon crop is Basmati rice and the main winter
crop is wheat, both of which are cultivated simultaneously with various
fodder crops for livestock, mostly cows and buffaloes. Hafizabad is
known as a typical Punjab society dominated by a few big landlords and
numerous owner-farmers, with substantial landless rural population [GHK
(2005)]. Agricultural census data also show that land tenancy in
Hafizabad is more frequently found than in other parts of Punjab
[Kurosaki (2005), Table 1].
As a product of joint efforts by JICA-DSP and Hafizabad District
Government, the CCB Improvement Plan [CIP] was launched on October 2005
and its second phase was under implementation at the time of this
writing. The CIP's objective was to increase the number of CCB
activities and the amount of budget released by local governments in
Hafizabad within one year. The CCB Support Centre was established as a
symbol of the CIP and with the offices of Executive District
Officer-Community Development (ECO-CD) and District Officer-Social
Welfare (DO-SW) placed under one roof along side the JICA-DSP team.
Centering at the CCB Support Centre, the following activities were
implemented:
Planning stage:
Publicity campaigns and information provision at the Support
Centre. Village visits and meetings by CCB Coordinators. CCB information
board in each Union. Workshops and training by local governments.
Implementation stage:
Quick CCB registration facility. Proposal evaluation.
Inter-departmental technical meetings.
Monitoring stage:
Monitoring guides with detailed manuals. Photo records. Field
monitoring by CCB Coordinators.
3. DETERMINANTS OF THE CCB'S SUCCESS/FAILURE
3.1. Data
In this section, we utilise a dataset compiled from the
socio-economic survey of Unions and CCBs in 2004-05 [RDPI (2005)]. The
Union Profile covering all of 42 Unions in Hafizabad and the CCB Profile
covering all of 119 CCBs registered until the socio-economic survey have
been compiled. From the Union Profile, village-level information for 428
villages is obtained. Since JICA's CIP was initiated in October
2005, the data used in this section show the situation before
JICA's intervention.
At the time when the survey was ended (March 2005), 119 CCBs were
registered. Three Unions had no CCB. Some Unions had more than one CCB.
Twenty-five CCB projects were approved and only three schemes received
funds. Total accumulated CCB fund in Hafizabad was Rs 121.8 m (approx.
US$ 2.5m) at the time of the socio-economic survey. At the same time, 7
of the 119 CCBs already disappeared and no information was obtained.
From the remaining 112 CCBs, 77 drafted a project proposal and 58
submitted the proposal to the local government.
3.2. Empirical Models
Villagers organise collective action to form a CCB when their
expected benefit from CCB registration is greater than its costs.
Benefits and costs of such collective action depend on the village and
Union characteristics such as economic and political activities,
infrastructure, and leadership [Meinzen-Dick, et al. (2002)]. Thus, the
determinants of successful formation of a CCB are analysed by a
village-level regression model:
Prob([Y.sub.i] = 1) = f([X.sub.k][b.sub.1] + [X.sub.i][b.sub.2] +
[u.sub.i), ... ... ... ... (1)
where [Y.sub.i] is the dummy variable for village i to have a CCB,
[X.sub.k]. is a vector of the characteristics of Union k to which
village i belongs, [X.sub.i] is a vector of the village characteristics,
[b.sub.1] and [b.sub.2] are vectors of parameters to be estimated,
[u.sub.i] is a zero-mean error term, and f(.) is a probit, logit, or
linear function.
Once a CCB is formed, CCB members organise collective action to
prepare a CCB project draft. To prepare the draft successfully, the
members need to coordinate potentially conflicting interests among them
and to satisfy technical specifications required from the local
government as an acceptable proposal for fund allocation. Therefore, the
success of such collective action can be modeled by a CCB-level
regression model:
Prob([Y.sub.j] = 1) = f([X.sub.k][b.sub.1] + [X.sub.i][b.sub.2] +
[X.sub.j]/[b.sub.3] + [u.sub.j]) ... ... ... ... (2)
where [Y.sub.j]. is the dummy variable for CCB j to organise
collective action successfully (proposal drafted or submitted),
[X.sub.j] is a vector of the CCB characteristics (inequality, group
size, heterogeneity, leadership, CCB rules, etc.).
3.3. Determinants of CCB Formation
The estimation results of Equation (1) are summarised in Table 1.
Among the village- and Union-level variables, there are six variables
with statistical significance in all specifications (popv_t, infl,
litrate, schlden, d_bank, ngo).
First, the village population (popv_t) is positively associated
with CCB formation. This can be interpreted as a scale effect, not as a
density effect, since the population density is also included in the
model (insignificant). A related finding is the positive coefficient on
the population's literacy rate (litrate). Thus the large size of
literate population favours CCB formation.
Second, leadership matters at the stage of CCB formation, as
suggested by positive and significant coefficients on infl (the number
of influential persons in the village) and on ngo (the number of NGOs in
the Union). This confirms our field observations that NGOs are
encouraging CCB formation at the grass root level and villagers turn to
local influential persons for support when they begin something new. As
the influential persons in the village, people listed landlords, village
heads, teachers, social workers, religious leaders, etc. Interestingly,
the types of the influential persons did not yield a statistically
significant difference. Furthermore, ucmeet (the cumulative number of
Union Council [UC] meetings) is not significant at all. If UCs are
effective in encouraging villagers to form a CCB, we expect the
coefficient on ucmeet to be positive. The regression results does not
support this, suggesting that the number of UC meeting is not related
with CCB promotion.
The factors discussed so far are detemainants of the supply side of
collective action in CCB formation. The demand side, i.e., the variables
determining people's needs, has to be controlled for. Therefore,
indicators for service delivery are included such as the number of
schools, health workers, housing facilities, and the distance to banks
and post offices. Among these variables, those with statistical
significance have expected signs: villages in a Union with fewer schools
(schlden) and more difficulty in bank access (d_bank) are more likely to
form a CCB. (3)
3.4. Determinants of the Successful Preparation of a CCB Project
Proposal
Once a CCB is formed, the next step is to prepare a proposal for
CCB projects. Under what conditions, CCB members are successful in
coordinating collective action that results in an acceptable project
proposal? Estimation results based on Equation (2) are summarised in
Table 2. To examine different aspects of project preparation, we choose
two dependent variables: a dummy for the preparation of a project
proposal draft and a dummy for the submission of the proposal. Since
submission is conditional on the draft preparation, it may be desirable
to estimate a model of sequential decision making. As the first step to
approach the desirable model, Equation (2) is estimated for each of
these dependent variables with the same explanatory variables. In other
words, a completely reduced-form approach is adopted.
The estimation results show that among the village- and Union-level
variables, those with statistical significance have the same sign as in
Table 1. Residents' literacy (litrate) and the Union's
disadvantage in the access to banks (d_bank) both increase the
probability of successful preparation and submission of a CCB project
proposal. The presence of NGO (ngo) increases the probability but the
effect is statistically significant only at the stage of proposal
submission. Other Union-level variables and village-level variables are
mostly insignificant.
Among CCB-level variables, several variables have coefficients that
are congruent across specifications. First, the collective action for
project finalisation takes time: ccb_age has a positive coefficient.
Second, CCB's management and rules matter. Those CCBs holding a
meeting regularly (d_meet) are more likely to prepare a draft and to
submit the proposal; those CCBs not recording their activities properly
(miss_gen) are less likely to prepare a draft and to submit the
proposal, though the latter effect on the submission was statistically
significant only at the 20 percent level.
Third, the group size (num_mem) and the number of occupations among
members (n_occp) have positive coefficients on proposal preparation and
negative coefficients on proposal submission. Among them, the positive
effect of n_occp on the preparation and the negative effect of num_mem
on the submission are statistically significant. The negative effect of
the member size is consistent with the findings in the majority of
studies on collective action in irrigation management [Bandiera, et al.
(2005)]. Positive and significant effects of n_occp (the number of
occupations among members) on the preparation of project proposals are
against the findings in the literature that the social heterogeneity
among members is detrimental to collective action [Bandiera, et al.
(2005)]. The regression result seems to suggest that the superiority in
technical skills of more heterogeneous CCBs surpasses the disadvantage
of such CCBs in terms of maintaining cooperation. In this sense, the
regression result shows the lack of technical support from the CCB
administration in preparing project proposals. However, at the stage of
proposal submission, n_occp has a negative and insignificant effect on
collective action, suggesting a possibility that the ill effect of
n_occp appear at this stage that requires more coordination among CCB
members because the submission of the proposal implies the official
commitment of local people to pay 20 percent of the project cost.
Inequality in land holding among CCB members (ineq_ld) seems
detrimental to the submission of the proposal although its effect is
only marginally significant in the statistical sense. It may also
capture the effects of the leadership through land holding (lead_lnd).
The coefficient on lead_lnd is positive on d_pdft but negative on
d_subm, both of which are statistically significant only at the 10
percent level. This suggests a possibility that the effect of land
inequality on collective action may differ depending on the stage of
project preparation. This requires further research since the results
here are weak and mixed.
The coefficients on womenr (the ratio of female CCB members) and
lead_sex (a dummy for a female chairman) are negative but not
statistically significant at all. This result shows that the
disadvantage of female-dominated CCBs is not discernible, which may be a
good sign considering the gender context of Pakistan.
4. IMPACT OF INTERVENTIONS UNDER THE JICA-DSP PROJECT
The regression results in the previous section thus show that rules
within a CCB and the type of leadership are key to the success of a CCB
initiative. This finding suggests that the capacity building of CCBs and
local communities, through technical and institutional support, is
important. Under these conditions, JICA-DSP and Hafizabad District
Government initiated the CIP (see Section 2 for its components).
As of November 2006, immediately after the second phase of the CIP
was initiated, 242 CCBs were registered, including 93 that were
registered newly under the JICA-DSP. Figure 1 shows the number of
newly-registered CCBs in Hafizabad in three-month intervals from October
2003 to September 2006. A significant surge is observed in the first
half of 2006, when the CIP Phase 1 was implemented. At the same time,
completely inactive CCBs were deleted from the target of interventions
("CCB Cleaning"). The number of such deleted CCBs was 141. Out
of the remaining CCBs, 35 have completed its project proposal with
eleven more CCBs very close to completion.
On June 2006, thirteen proposals were approved by the District
Government. These proposals were for livestock development, vocational
schools, and ambulance provision. Their total budget was 2.8 million Rs.
At the time of this writing, twenty-two more proposals were waiting for
the approval. They covered more diverse activities, including
enhancement of school and health facilities and amounting to 5.4 million
Rs.
These numbers show that one of the CIP's objective, i.e., to
increase the number of CCB activities, was achieved successfully,
although a more rigorous evaluation based on a comparison with
scientific counterfactuals should be conducted for a definite
conclusion. In promoting villagers' cooperation toward a CCB,
village visits and meetings by CCB Coordinators were found to be very
effective. This is consistent with the statistical finding in Section 3
that local leadership and NGO guidance are positive predictors of CCB
formation. In addition, this seems to suggest that JICA's
experiences in Indonesia [Kawamura (2005)] are useful and transferable
to the case of CCBs in Pakistan. At this stage of the project, however,
human resource constraints are coming to be binding. The number of
Pakistani people capable of working as effective CCB Coordinators may
not be sufficient. Thus a further investment in capacity building is
needed.
[FIGURE 1 OMITTED]
The progress in increasing the amount of budget released by the
government was steady but modest. An immediate task for the second phase
of the CIP is thus to accelerate the approval process. The statistical
finding in Section 3 that technical skills are lacking in the local
people to prepare acceptable proposals is relevant in this context as
well.
Therefore, the next task is to implement the remaining projects on
time and to monitor them properly. By evaluating these projects and
derive lessons for the next phase will complete the second phase,
currently going-on.
5. CONCLUSIONS
This paper analysed the conditions for a successful
community-based, community-driven development in Pakistan. The analysis
was based on a case study of Citizen Community Boards (CCBs) in
Hafizabad, Pakistan, where Japan International Cooperation Agency (JICA)
is implementing a project to make the CCB programme more effective and
efficient.
Based on regression analyses using benchmark data before
JICA's intervention, we found that villages in Unions with higher
literacy rates, with presence of NGOs in the Union and influential
persons in the village, and with less access to schools and financial
institutions are more likely to be successful in forming a CCB. The
determinants of successful preparation of CCB development projects
conditional on the CCB formation include the age of a CCB, more strict
management (regular meeting and record keeping), and more technical
skills (diversity in members" occupation). The effects of
education, gender, and inequality on the project success probability
were not clearly discernible, although a negative effect of land
inequality on project submission was found. The statistical analyses
thus seem to show that CCB-based collective action is possible even in
the Pakistani society where the core network is not based on local
residential areas, tinder the condition with favourable factors found in
the regression analysis.
The implementation of the CCB Improvement Plan jointly by JICA and
Hafizabad District Government shows a moderate success with respect to
the objective of increasing CCB activities and to increasing the amount
of budget released by the government on time. In promoting
villagers' cooperation toward a CCB, village visits and meetings by
CCB Coordinators were found to be very effective, confirming the view
that local leadership and NGO guidance are important. Considering the
lack of such human resources in Pakistan, a further investment in
capacity building is required.
Our experiences in Pakistan so far suggest that, in order to make
the CCB (or participatory development in general) more sustainable in
terms of planning, implementing, and monitoring, it is imperative to
increase pro-poor components with active participation of the poor and
the landless. In other words, to make CCB-type cooperation in
development efforts possible in rural Pakistan, we need to pay
sufficient attention to the heterogeneity of the local people (the depth
of socio-economic gap among classes) and the potential of civil society
institutions such as NGOs and the local elite in mobilising the people.
One caveat of these conclusions is that they are derived from
statistical relations among cross-section data and from our subjective
observations in the field. The causality may be opposite to the one
assumed in this paper. For example, interventions by CCB Coordinators
and the local response to them are formed endogenously so that the
characteristics of CCBs may reflect the process of endogenous matching.
To elicit the true causal effects of these CCB characteristics and
JICA's intervention on the CCB performance, we need exogenous variation. A rigorous evaluation based on such exogenous variation is
left for further research.
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Takashi Kurosaki <kurosaki@ier.hit-u.ac.jp> is Professor at
the Institute of Economic Research. Hitotsubashi University. Kunitachi,
Tokyo, Japan.
Author's Note: This is a revised version of the paper
presented at the Roundtable on "Decentralisation and Devolution in
Pakistan" at the 22nd Annual General Meeting of Pakistan Society of
Development Economists, Lahore, Pakistan, December 19-22, 2006.
The author is grateful to conference participants for useful
comments. The author also appreciates the support and data provision by
the JICA Devolution Support Project. The contents of this paper are the
views of the author and should not be attributed to JICA or any of its
affiliated organisations.
(1) A Japanese development project with similar motivation was
successful in Indonesia in making the community-based and
community-driven development more sustainable. [See Kawamura (2005)].
(2) This part (i.e., Section 3) is extracted from Kurosaki (2005).
(3) It is possible that d_bank may capture the extent of
commercialisation of the Union. In the literature on collective action
(see Section I), many authors have found that the extent of
commercialisation is detrimental to cooperation. The positive effect of
d_bank is consistent with this interpretation as well.
Table 1
Summary of the Determinants of CCB Formation In a Village
Effects
Explanatory Variables (1)
Village-level Variables
popv_t Population of the village (1000) (+++)
Fmrate Female population/male population n.s.
popv_mn Minorities population/total population n.s.
Infl Number of influential persons in the village (++)
Union-level Variables (2)
Popden Population density in Union (nos/acre) n.s.
Litrate Adult literacy rates (%) (++)
Schlden Number of schools per 1000 persons (-)
Lhwden Number of lady health workers per 1000 persons n.s.
h_water Ratio of households with tap water n.s.
d_bank Distance to the nearest bank branch (km) (+++)
d_po Distance to the nearest post office (km) (-)
ucmeet Number of Union Council meetings held so far n.s.
ngo Number of NGOs registered (+++)
Source: Adapted from Kurosaki (2005). Table 4.
Notes: (1) "n.s." indicates that the variable leis a statistically
insignificant coefficient (at the 10 percent level) in all
specifications. "(+)" indicates that the variable has a positive
coefficient in all specifications but statistically significant (at
the 10 percent level) in only some of them. "(++)" indicates that the
variable has a positive and significant coefficient in all
specifications with statistical significance levels at 5 to 10 percent.
"(+++)" indicates that the variable has a positive and significant
coefficient in all specifications with statistical significance levels
at 1 percent. "(-)" indicates that the variable has a negative
coefficient in all specifications but statistically significant (at
the 10 percent level) in only sonic of them. "(-)" indicates that the
variable has a negative and significant coefficient in all
specifications with statistical significance levels at 5 to 10 percent.
"(-)" indicates that the variable has a negative and significant
coefficient in all specifications with statistical significance levels
at 1 percent.
(2) In addition the variables listed above, two Union-level dummy
variables controlling for data quality were also included.
Table 2
Summary of the Determinants of the Preparation of a Project Proposal
Effect on the
Preparation of
Project Proposal
Explanatory Variables Draft
CCB-level Variables
ccb_age Weeks since CCB registration (+)
num_mem Number of CCB members n.s.
womenr Ratio of female CCB members n.s.
d_meet Dummy for the regular meeting (+++)
n_occp Number of occupations among members (++)
ineq_ed Inequality in CCB members' education n.s.
(max schooling years--min
schooling years)
ineq_ld Inequality in CCB members' n.s,
landholding (max acreage--min
acreage) in 10 acres
lead_sex Chairman's sex dummy (-=1 if female) n.s.
leud_uge Chairman's age (years) (+)
lead_edy Chairman's schooling years n.s.
lead_lnd Chairman's landholding in 10 acres (+)
miss_gen Dummy for the incomplete CCB records (-)
Village-level Variables
popv_t Population of the village (1000) n.s.
roll Number of influential persons in n.s.
the village
Union-level Variables
litrate Adult literacy rates (%) (+++)
schlden Number of schools per 1000 persons n.s.
d_bank Distance to the nearest bank (+)
branch (km)
ngo Number of NGOs registered n.s.
Effect on the
Submission of
Explanatory Variables Project Proposal
CCB-level Variables
ccb_age Weeks since CCB registration (++)
num_mem Number of CCB members (-)
womenr Ratio of female CCB members n.s.
d_meet Dummy for the regular meeting (++F)
n_occp Numbcr of occupations among members n.s.
ineq_ed Incyuality in CCB members' education n.s.
(max schooling years--min
schooling years)
ineq_ld Inequality in CCB members' (-)
landholding (max acreage--min
acreage) in 10 acres
lead_sex Chairman's sex dummy (-=1 if female) n.s.
leud_uge Chairman's age (years) n.s.
lead_edy Chairman's schooling years n.s.
lead_lnd Chairman's landholding in 10 acres (-)
miss_gen Dummy for the incomplete CCB records n.s.
Village-level Variables
popv_t Population of the village (1000) (-)
roll Number of influential persons in n.s.
the village
Union-level Variables
litrate Adult literacy rates (%) (+++)
schlden Number of schools per 1000 persons (+)
d_bank Distance to the nearest bank (++)
branch (km)
ngo Number of NGOs registered (++)
Source: Adapted from Kurosaki (2005), Table 5.
Notes: See notes to Table 1.