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Does the Labor Market Structure Explain Differences in Poverty in Rural Punjab?
Rashid Amjad, G.M. Arif and Usman Mustafa
Published:Sept 2008
The main focus of this study is Rural Punjab and it contributes to
regional poverty research in two ways; first, using a more recent household
survey data, carried out in August 2007 by the Pakistan Institute of
Development Economics (PIDE), it provides fresh poverty estimates for the
rural areas of the Punjab. Second, the poverty differential across the agroclimatic
zones of Punjab have been explained by urbanization, overseas
migration and the labor market structure operating in these zones. This
study shows four major factors that explain inequalities in poverty levels.
First, the rural areas of two zones, barani and rice/wheat, are well
integrated with urban settings. This integration has allowed their rural
populations to work in the industrial sector of Central Punjab and the
services sector in North Punjab primarily Rawalpindi and Islamabad.
Second, the belt from Lahore to Attock in the Punjab has benefited the
most from overseas migration. The flow of remittances has helped in
reducing poverty levels. Third, the cotton/wheat and low intensity zone still
largely depend for employment on the agricultural sector while this
dependency is very low in the barani zone, which has good opportunity to
seek job opportunities for its labor force in the armed services and
government departments. Finally, demographic and social factors including
education are less favorable in the cotton/wheat and low intensity zones
which negatively impacts on a breakthrough in poverty reduction.
KEYWORDS:
Pakistan, Poverty, Migration, Labor Market.
JEL:
D33,
J20,
J61.
The Geography of Poverty: Evidence from the Punjab
Ali Cheema, Lyyla Khalid and Manasa Patnam
Published:Sept 2008
The article is the first comprehensive attempt at estimating the
variation in the incidence, intensity and severity of poverty in the Punjab
at the level of sub-provincial regions and districts. This estimation has
been made possible because of the availability of the Multiple Indicators
Cluster Survey (2003-04), which has a sample that is representative at the
district-level. Estimates suggest the existence of a high poverty enclave in
the south and the west regions of the Punjab. The incidence and severity of
poverty in a majority of districts in this enclave, with a few exceptions, is
extremely high with one out of every two households being poor on average.
The high levels of poverty in this enclave contrast with the relatively low
poverty in the more urbanized north, where households are well integrated
into the national and international labor market. The paper also argues
that there is tremendous variation in the poverty experience of the districts
in the centre. Poverty incidence in the more urbanized and industrialized
northern districts of the centre contrasts sharply with the experience of
Kasur, Okara and Pakpattan, where the incidence and severity of poverty
is extremely high. Finally, we find that in nine districts rural households
do much worse in terms of poverty incidence than their urban
counterparts. The gap between urban and rural poverty incidence and
severity is highest within the district of Lahore suggesting that
urbanization co-exists with a large poor population that inhabits the periurban
areas of the district. An important aim of development policy and
poverty targeting is to bridge these multi-faceted divides in the geography
of poverty.
KEYWORDS:
Poverty, Pakistan.
JEL:
I32,
D33.
Rethinking Development Strategy –The Importance of the Rural Non Farm Economy in Growth and Poverty Reduction in Pakistan
Sohail Jehangir Malik
Published:Sept 2008
The structural transformation of Pakistan’s economy has not been
accompanied by a concomitant decline in the proportion of labor employed
in agriculture. While this transformation has resulted in a non-farm sector
that is large and growing it has not lead to the rapid absorption of the
pool of relatively low productivity labor away from the agriculture sector,
as predicted by conventional development theory embodied in the models of
the 1960s. Despite the obvious importance of the role of a vibrant rural
non-farm economy (RNFE), and in particular, a vibrant non-farm services
sector to address the challenges of poverty, food security, agricultural
growth and rural development, this sector has received inadequate
attention in the debate in Pakistan. Based on a review of literature and
data from two large surveys – the Rural Investment Climate Survey of
Pakistan 2005 and the Surveys of Domestic Commerce 2007 – this paper
attempts to analyze the factors underlying the low level of development of
the rural non farm economy and the potential role it can play in Pakistan’s
economic development.
KEYWORDS:
Pakistan, Poverty, Rural, Development.
JEL:
R23,
R11.
Trends in Regional Inequalities in Pakistan: Evidence Since 1998
Sajjad Akhtar
Published:Sept 2008
Periodic research and documentation of the extent and nature of
inter-regional and intra-regional inequalities is a pre-requisite for
formulating cost effective interventions for the promotion of spatially
balanced and sustainable development. These interventions can be in the
shape of increased fiscal resource transfers and/or fiscal incentives to the
private sector for promoting investments in lagging regions. The analysis of
inter-regional and intra-regional consumption and non-consumption
inequalities in this paper are a preliminary attempt at assessing their
status.
KEYWORDS:
Pakistan, Inequality, Consumption, Social Indicator.
JEL:
D31,
E21.
Human Capital and Economic Growth: Pakistan, 1960-2003
Qaisar Abbas, James Foreman-Peck
Published:Jan - June 2008
This paper investigates the relationship between human capital and
economic growth in Pakistan with aggregate time series data. Estimated
with the Johansen (1991) approach, the fitted model indicates a critical
role for human capital in boosting the economy’s capacity to absorb world
technical progress. Much higher returns, including spillovers, to secondary
schooling in Pakistan than in OECD economies is consistent with very
substantial education under-investment in Pakistan. Similarly, extremely
large returns to health spending compare very favorably with industrial
investment. Human capital is estimated to have accounted for just under
one-fifth of the increase in Pakistan’s GDP per head. Since the 1990s, the
impact of deficient human capital policies is shown by the negative
contribution to economic growth.
KEYWORDS:
Human Capital, Economic Growth, Cointegration, Pakistan.
JEL:
O53.
Long-Run and Short-Run Dynamics of the Exchange Rate in Pakistan: Evidence From Unrestricted Purchasing Power Parity Theory
Muhammad Arshad Khan and Abdul Qayyum
Published:Jan - June 2008
The main focus of this paper is to measure the speed of adjustment
of the exchange rate by means of the persistent profile approach developed
by Pesaran and Shin (1996) to examine the symmetry and proportionality
assumptions of the purchasing power parity (PPP) theory of exchange rates
for the Pak-rupee vis-à-vis the US-dollar exchange rate over the period
1982Q2-2005Q4. Using cointegration and vector error-correction modeling
approaches, we find considerable support for the validity of weak-form PPP
in Pakistan. Furthermore, the symmetry and proportionality assumptions of
PPP are not verified. In the short-run, the exchange rate and foreign prices
play a significant role in the convergence process to achieve long-run
equilibrium. However, the speed of adjustment is very slow and the
persistence profiles suggest that almost 4-5 years are required to eliminate
deviations and bring the nominal exchange rate in line with the long-run
equilibrium path.
KEYWORDS:
Exchange Rate, Purchasing Power Parity, Cointegration, Vector Error Correction, Pakistan.
JEL:
F37.
Forecasting Wheat Production in Pakistan
Falak Sher and Eatzaz Ahmad
Published:Jan - June 2008
This study analyzes the future prospects of wheat production in
Pakistan. Parameters of the forecasting model are obtained by estimating a
Cobb-Douglas production function for wheat, while future values of various
inputs are obtained as dynamic forecasts on the basis of separate ARIMA
estimates for each input and for each province. Input forecasts and
parameters of the wheat production function are then used to generate
wheat forecasts. The results of the study show that the most important
variables for predicting wheat production per hectare (in order of
importance) are: lagged output, labor force, use of tractors, and sum of the
rainfall in the months of November to March. The null hypotheses of
common coefficients across provinces for most of the variables cannot be
rejected, implying that all variables play the same role in wheat production
in all the four provinces. Forecasting performance of the model based on
out-of-sample forecasts for the period 2005-06 is highly satisfactory with
1.81% mean absolute error. The future forecasts for the period of 2007-15
show steady growth of 1.6%, indicating that Pakistan will face a slight
shortage of wheat output in the future.
KEYWORDS:
Wheat, ARIMA, Production Function, Pakistan.
JEL:
Q16.
A Case Study of Milk Processing: The Idara-e-Kissan Cooperative
Khalid Riaz
Published:Jan - June 2008
The paper focuses on Idara-e-Kissan, a vertically integrated
cooperative in the dairy sector, which procures fresh milk, processes it and
uses the profits earned in urban milk product markets to provide
development services to member farmers. The analysis suggests that,
compared to a control group of non-members, the cooperative’s members
had 29% higher net returns per milk animal, 9% more milk buffaloes, 6%
fewer dry buffaloes and they used three times more milk fat-enhancing
cottonseed cake. The members had better access to animal vaccination,
artificial insemination, and visits from livestock extension workers; they
were able to secure more animal treatments per year, and reported greater
satisfaction with service provision. The cooperative’s successes were more
modest in areas where the benefits of inputs and services provided were
more public, e.g. livestock breed improvement and enhancing fodder
productivity, indicating that there is an important role for the government
in supplying public goods such as livestock/agriculture R&D.
KEYWORDS:
Milk, Dairy, Livestock, Cooperative, Pakistan.
JEL:
Q18.
Apple Market Integration: Implications for Sustainable Agricultural Development
Khalid Mushtaq, Abdul Gafoor and Maula Dad
Published:July - Dec 2008
In a market driven economy, price signals guide and regulate
production, consumption and marketing decisions over time, form and place.
Identifying the causes of price differences in interregional or spatial markets
has therefore become an important economic analytical tool to understand
markets better. If markets are not well integrated, price signals are distorted,
which leads to an inefficient allocation of resources. Further, it may
constrain sustainable agricultural development and aggravate inequitable
patterns of income distribution. This paper examines the degree of spatial
market integration in the regional apple markets of Pakistan using
cointegration analysis and monthly wholesale price data from January, 1996
to December, 2005. Results show that apple markets are perfectly integrated
and Quetta is the dominating market. The high degree of market integration
observed in this case is consistent with view that apple markets in Pakistan
are quite competitive and provide little justification for government
intervention designed to improve competitiveness to enhance market
efficiency.
KEYWORDS:
Market Integration, Cointegration, Apple, Pakistan.
JEL:
Q13.
The Determinants of Capital Structure of the Chemical Industry in Pakistan
Muhammad Rafiq, Asif Iqbal, Muhammad Atiq
Published:Jan - June 2008
This study is an attempt to determine the capital structure of listed
firms in the chemical industry of Pakistan. The study finds that by
studying a specific industry's capital structure, one can ascertain unique
attributes, which are usually not apparent in the combined analysis of
many sectors as done by Shah and Hijazi (2004). This study analyzed 26 of
39 firms in the chemical sector, listed at the Karachi Stack Exchange for
the period 1993-2004 using pooled regression in a panel data analysis. Six
regressors i.e. firm size, tangibility of assets, profitability, income variation,
non-debt tax shield (NDTS) and growth were employed to examine their
effects on leverage. The results show that these six independent variables
explain 90% of variation in the dependent variable and, except for firm
tangibility, results were found to be highly significant. The study has policy
implications of importance for researchers, investors, analysts and
managers.
KEYWORDS:
Chemical, Panel Data, Karachi Stock Exchange, Pakistan.
JEL:
C51.