![]() |
![]() |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
| You’re here: IPS Home > IPS Research > Poverty and Social Welfare > Research > ... |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Micro Impacts of Macroeconomic Adjustment Policies (MIMAP) |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
The Micro Impacts of Macroeconomic Adjustment Policies (MIMAP) Project in Sri Lanka primarily aims at informing policymakers of the possible effects of macroeconomic adjustment policies on vulnerable groups. About MIMAP-Sri LankaThe impact of economic reform on the poorer segments of the population is the primary concern of the work sponsored by the International Development and Research Centre (IDRC) under the MIMAP–Sri Lanka project. The work in Sri Lanka links into the MIMAP Research Network, which looks at related issues in a range of Asian and African economies. The research project aims to fill perceived gaps in information and knowledge regarding the impact of macroeconomic and adjustment polices on the welfare of the poor, and also channels of transmission through which macro policy reaches the micro level. The research takes a multi-dimensional, rather than a purely economic, approach as it acknowledges that, although the macro policies considered will be overwhelmingly economic policies, the well-being of a household has to be considered in a more holistic manner.
International Development and Research Centre (IDRC)
MIMAP – Phase IIn its initial phase of the project, the studies undertaken sought to obtain a clear and comprehensive picture of the information already available within Sri Lanka on macroeconomic policy reform and its impacts on welfare. The information surveyed include the literature on policy and welfare, data available for poverty analysis, and macro economic models of the Sri Lankan economy. The Institute’s library was developed as a national repository unit for material on poverty. Due to Sri Lanka's early efforts and achievements in welfare and the high-profile nature of subsequent economic reforms, considerable attention has been directed towards the relationship between welfare and reform. Further, Sri Lanka has a relatively well developed national data gathering and publication tradition that provides considerable information regarding macroeconomic indicators and aspects of welfare of the population. Macroeconomic modeling, however, is an area that has received less attention. However, the surveys of existing information indicate that despite some crucial gaps, there is a sound base of knowledge that can be consolidated and expanded upon to understand the mechanisms which link macroeconomic policy reform to household welfare in Sri Lanka.
This paper primarily seeks to broaden the conceptualization of policy impact analysis by questioning the conventional analytical starting points and methodology. Conventionally, the problem is structured along the lines of understanding the impact of macro policy on different segments of the poor, identifying critical causal relationships, and feeding this knowledge back to fine-tuning policy. The methodological constraints of this structure are widely recognized as isolation of impacts, measurement of impacts, effect of policy compliance, direct causation, dis-aggregation of specific effects of policy, etc. However, what of the logic of the overall exercise? If policy impact analysis seeks to have practical relevance to policy making, are the right issues being addressed? And, are they being interpreted in a way that is important to policy makers, mainly politicians? Three alternative models of policy reform form the base of the argument which seeks to answer these questions. The models highlight the different viewpoints that can exist on both the nature of the reform effort and the kind of technical feedback considered necessary. Within this framework, ways of interpreting the Sri Lankan policy context is explored. |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Publications: | "Policy Impact Analysis in Contemporary Sri Lanka” (2000) by David Dunham, Macroeconomic Policy Series (Formerly listed under MIMAP Sri Lanka Series) |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Publications: | “Review of Literature Linking Macroeconomic Policies to Household Welfare in Sri Lanka” (2000) by Neranjana Gunetilleke, Poverty and Social Welfare Series (Formerly listed under MIMAP Sri Lanka Series) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Publications: | “Annotated Bibliography of Macroeconomic and Adjustment Policies in Sri Lanka ” (2000) by Neranjana Gunetilleke and Janaka Wijayasiri , Macroeconomic Policy Series (Formerly listed under MIMAP Sri Lanka Series) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
The review of data sources is dominated by the analysis of state sources reflecting the institutional structure of formalized data gathering in Sri Lanka. Weakness of available data is discussed at length and subsequently fed into the recommendations made. The core of the recommendations focuses on making better use of existing data by further refining and analysing them. |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Publications: | "Review of Poverty Related Data and Data Sources in Sri Lanka” (2000) by Indra Tudawe, Poverty and Social Welfare Series (Formerly listed under MIMAP Sri Lanka Series) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Publications: | "A Literature Survey of Macro Econometric and CGE Models in Sri Lanka” (2000) by S.W.S.B Dasanayake, Macroeconomic Policy Series (Formerly listed under MIMAP Sri Lanka Series) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Publications: | "Flow of Migrant Remittances to the Household Level and its Effects on Household Welfare" by Suresh De Mel, and Roshan Perera, (Formerly listed under MIMAP Sri Lanka Series) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Research Team: | Indra Tudawe, Prof. K.A.P. Siddhisena, Ruwan Jayatilaka | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
Rationale The Department of Census and Statistics’ five-yearly national survey and the Central Bank of Sri Lanka’s ten-yearly survey are the only sources of data that are available for analysing levels of poverty. Up to now, only the Department of Census and Statistics has analysed their data for consumption poverty incidence since 1990. Even then, since this exercise in only performed every five years (but take up to between 6-7 years since data entry and analysis after the survey takes another 1-2 years), changes in poverty in the interim period and impact of policy on poverty cannot be known for policy/programme re-direction or re-formulation. Although the State’s current emphasis is poverty alleviation, the present system of information on poverty incidence and changes in poverty within population groups is inadequate to meet the information demand of the policy-makers for necessary interventions. More frequent conduct of national surveys is not feasible due to cost constraints, but an alternative needs to be developed to fill the information gap, which in turn will affect timely programme/policy planning and interventions. One low cost mechanism to fill the gap is to develop a community based monitoring system with several small samples of poor population located in different parts of the country. This would serve to cover both spatial and temporal differences in poverty issues of selected population. Objectives This pilot study will be conducted in one Divisional Secretaries Division (DSD) to establish a low-cost community participatory monitoring system of poverty related indices. The baseline information of these indicators will form the first set of information into DSD level planning and resource allocation for the following year. An annual monitoring of indicators is envisaged so that it can feed in to planning and re-allocation of resources within the DSD. |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Research Team: | Indra Tudawe, Markus Mayer, S.T. Hettige | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
Rationale Since the inception of the first poverty alleviation programme in Sri Lanka—Janasaviya—in 1989, micro-finance has been a central tool used to alleviate poverty. Apart from the poverty alleviation programme of the State, the Government also encouraged state and non-state banking institutions as well as micro-finance institutions to provide credit for employment generation activities such as small and medium enterprises (SMEs). Further, a large number of NGO/CBO based micro-finance institutions have also erupted to assist in providing finance to the poor. A forward marketing system is being introduced by the state through banks to assist farmers to obtain a better price for their produce. However, over a decade after such intervention, the impact of micro-finance on reducing poverty and sustaining employment created through institutions such as SMEs is not clear. Evaluations available on micro finance provided under poverty alleviation programmes show little impact on poverty reduction itself since enterprises started under the poverty alleviation programmes have not been sustained. Many have been closed after a short while for financial non-feasiblity. Lack of non-financial support and lack of markets have been identified as factors for less than expected outcome. Information on evaluations on performance of other institutions in providing micro credit for poverty alleviation is limited. This is partly because many formal financial institutions do not separate credit given for micro-finance from other finance/credit. Further, definitions used for identifying micro finance from non-micro finance also vary between institutions. Central Bank survey data show that over 40 per cent of financing is still provided by the informal financial sector where the interest rates are much higher than the formal sector. It is likely that those who obtain credit from the informal sector are those with low collateral, hence they are likely to be among the poor. However, the advantage of informal sector finance to the poor is the very short time gap between request for a loan and supply of loan, where nearly all NGO/CBO take a minimum period of a week and banks take longer. Although through poverty alleviation programmes, the savings rate of the poor have increased (through compulsory savings of part of the allowance given to the poor), the demand for credit by the rural sector is limited (as credit is encouraged for entrepreneurial development and not for consumption). It also appears that a majority of savings mobilized via the rural sector is invested in the urban sector; however, data on this issue needs further investigation. There is also the current debate on concessionary credit (by the state) where it is provided at lower interest rates than banks. The impact of such measures on other financial institutions is of much concern. State policy of waiving loans taken by farmers on an ad hoc basis also negatively affects loan recovery rates of all financial institutions, and undermines credit availability to those defaulters by these institutions. Objectives The study is conducted to: understand the reasons as to why micro-finance is less successful than anticipated; develop a research methodology, based on findings from the review; to assess current constraints and strengths of micro-finance both at formal and informal sectors; and formulate policy/programme guidelines to re-direct present programmes that provide micro finance for poverty alleviation activities. |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Research Team: | Ganga Tilakaratna, Upali Wickremasinghe |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||