INFORMAL SECTOR IN INDIA Workshop 7; 23 – 06 15.00-16.00 pm.

Slides:



Advertisements
Similar presentations
1 International Workshop on Regional Products and Income Accounts, Beijing, China, March 2010 Country Presentation -India By National Accounts Division.
Advertisements

INTERNATIONAL LABOUR ORGANIZATION Conditions of Work and Employment Programme (TRAVAIL) 2012 Module 2: Maternity Protection at work: For whom? Maternity.
Production of Statistics on Informal Sector Employment and Informal Employment in Namibia By Panduleni C Kali.
Widening Exclusion: Informalisation in the Indian Economy Ravi Srivastava.
DECENT WORK_FAIR PAY_BETTER LIVES ORGANISING: Future Positive.
Current Employment Statistics & Local Area Unemployment Statistics Basics Current Employment Statistics & Local Area Unemployment Statistics Basics Joseph.
1 Transition of National Accounts of the Republic of Belarus to 2008 SNA Methodology and Cooperation between Producers of Official Statistics National.
Jobs and Unemployment. When you have completed your study of this chapter, you will be able to C H A P T E R C H E C K L I S T Define the unemployment.
Labor Statistics in the United States Grace York March 2004.
DATE: 26 TH AUGUST 2013 VENUE: LA PALM ROYALE BEACH HOTEL BACKGROUND OF GHANA LIVING STANDARDS SURVEY (GLSS 6) 1.
 INTRODUCTION:  What Is "Child Labour"? " Child labour" is work for children that harms them or exploits them in some way (physically, mentally, morally,
Mexico's experience using enterprise-based surveys to measure entrepreneurship Félix Vélez Fernández Varela National Institute of Statistics and Geography,
United Nations Economic Commission for Europe Statistical Division Labor Statistics: Informal Employment UNECE Statistical Division.
Estimating the Labour Force Trinidad and Tobago 28 th May 2014 Sterling Chadee Director of Statistics.
Employee Benefits and Services. INTRODUCTION Management is concerned with attracting and keeping employees, whose performance meets at least minimum levels.
EMPLOYMENT QUALITY INDICATORS. NATIONAL DEFINITIONS AND DATA SOURCES MAY CHANGE A LOT. CENTRAL STATISTICAL OFFICE POLAND Radoslaw Antczak | Geneve,
STATISTICSSTATISTIQUECANADA Aboriginal Labour Force Survey Province of Alberta.
Updating Project Wages Index (IR) Labour Cost Index (ICMO) OECD meeting Santiago, July 2009.
SOCIAL PROTECTION AND THE INFORMAL WORKFORCE Marty Chen Harvard University WIEGO Network.
African Centre for Statistics United Nations Economic Commission for Africa Handbook on Supply and Use Table: Compilation, Application, and Good Practices.
Informal Employment in Russia: Overview Oksana Sinyavskaya Daria Popova Workforce Development and Skills Mismatch — GPN Methodology Seminar 26-28, June.
Copyright 2010, The World Bank Group. All Rights Reserved. Introduction to the System of National Accounts (SNA) Lesson 9 Data Sources for Estimating GDP.
AN OVERVIEW OF INFORMAL ECONOMY- AN ECONOMIC PERSPECTIVE PRESENTATION TO THE MSUNDUZI MUNICIPALITY INFORMAL ECONOMY DAY ON THE 08 TH MAY 2015 Dumi ka Mzila.
Central Statistical Office ZIMBABWE DATA ANALYSIS AND INTERPRETATION OF 2004 LFS Lovemore Sungano Ziswa.
1 Session Number: Session 5a (Parallel) “ Measuring the Informal Economy in Developing Countries ” September 24, 16:00-17:30 Informal Sector and Informal.
LABOUR REALLOCATION, INFORMALITY AND PRODUCTIVITY GROWTH IN BRIC S * Ilya B. Voskoboynikov, National Research University Higher School of Economics and.
 Recall: Another economic goal of Canada is full employment Labour Force Survey  Every month, Stats Canada keeps takes a monthly survey of households.
Policy framework and programmes for security for home based workers in South Asia Overview: ISST.
W OMEN AS P AID D OMESTIC W ORKERS AND P OLICY FOR D EVELOPMENT : C ASE OF C HINA AND I NDIA Jin Feng Fudan University Shanghai, China Feminist economics.
Russia’s Workforce Development Study of the Global Policy Network (GPN) – Informal Employment in Russia Oksana Sinyavskaya Daria Popova Workforce Development.
EMPLOYMENT TRENDS Growth Rate of Employment(%Per Annum) Source - Economic Survey Period Rural Urban Before Reform After Reform
Gender Statistics in the Labour Market Angela Me UNECE Statistics Division.
Flexicurity in the context of social security Ministry of Welfare of the Republic of Latvia Riga,
Migration and Integration in Costa Rica NATIONAL REPORT General Directorate of Migration and Immigration.
E. O. TAWIAH LIBERIA NATIONAL SEMINAR ON CENSUS DATA ANALYSIS, MONROVIA, LIBERIA, DECEMBER 2011 LECTURE PRESENTATION ON ANALYSIS OF EMPLOYMENT AND.
National Accounts Statistics of Nepal 2014/15 (Annual Estimate) Press Release Program 08 June, 2015 Central Bureau of Statistics.
United Nations Economic Commission for Europe Statistical Division Economic Characteristics in the Census Questionnaire Angela Me, Chief Social and Demographic.
Using Census Data to Understand Things ​ OpenGovChicago March 26, 2014.
Shram Shakti (1998) highlighted the plight of women workers in the unorganized sector and recommended maternity support. Infant milk substitutes, Feeding.
Non-observed economy in Kyrgyz Republic The National Statistical Committee of Kyrgyz Republic Sultanaliev M.K. – Leading specialist of the Department of.
Statistics on the ‘Informal’ Economy  Informal Sector  Informal Employment Presentation by: Margarita F Guerrero Inter-regional Workshop on the Production.
Women in the workforce Julia Perry. National Foundation for Australian Women  To ensure that the aims and ideals of the Women's Movement and its collective.
International Labour Office Department of Statistics Informal employment: Review of concepts and methods Elisa M. Benes Department of Statistics International.
Gender Analysis of Census Data In EGYPT By Tamy Abdel Hady The Central Agency for Public Mobilization and Statistics CAPMAS ov.eg.
COUNTRY REPORT LIS WIDA HARINDIAH PERMATABANK UNION (AFFILIATED WITH OPSI)
REPUBLIC OF ALBANIA MINISTRY OF LABOUR AND SOCIAL AFFAIRS THE WORLD BANK CONFERENCE ON LABOR MARKETS, GROWTH AND POVERTY REDUCTION STRATEGIES Thesaloniki,
Labour force surveys for measuring employment in the informal sector and informal employment Ralf Hussmanns Head, Methodology and Analysis Unit Bureau.
1 Labour Data in the Agricultural Census Roundtable Meeting on Programme for the 2010 Round of Censuses of Agriculture Budapest, Hungary, November,
Western Ontario CFDCs Rural-Urban Divisions 2011 (Source: Statistics Canada Census of Population, 2011, Census Subdivision Data) 1.
Measuring work and economic activity Workshop Title Location and Date.
Aim of Chapter 2 To introduce the essential concepts, definitions, and trends of widely used labor market descriptors such as unemployment, labor force,
An Overview of the Informal Economy: Concepts and Typology A Union Strategies for the Transition from Informal to Formal Economy ITC-ILO, Turin 2.
INDICATORS FOR MONITORING EMPLOYMENT POLICIES Skill training workshop to diagnose the extent of social protection and promoting employment Phnom Penh Hotel,
Thailand’s outlook in 2009 Population : million Population : million Labour Force Labour Force employed : 38.7 million employed : 38.7 million.
Estimating the size of the informal sector in Ghana using the Ghana Living Standards Survey BY MAGNUS EBO DUNCAN.
Annual GDP Estimates by Production and Income Approaches in China Jin Hong Department of National Accounts-NBS Nov.30, 2009.
By: Prof. Dr. M. Zia-ur-Rehman, By: Prof. Dr. M. Zia-ur-Rehman,
Challenges for Trade Unions
Social security measures in India
EMPLOYMENT : GROWTH, INFORMALISATION AND OTHER ISSUES.
Statistical definitions of informal economy Informal employment
Mapping National Definitions of Informal Employment to International Statistical Standards G.Raveendran.
Informal Sector Statistics
FORMAL SECTOR INFORMAL SECTOR INFORMAL EMPLOYMENT HOUSEHOLD UNITS.
DIEESE definition of the informal sector and the informal economy
Informal Sector Statistics
Labour accounts THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
Social Security of Casual Agricultural Workers in Turkey
Tite Habiyakare, Senior Statistician,
SOCIAL SECURITY INTRODUCTION
Presentation transcript:

INFORMAL SECTOR IN INDIA Workshop 7; 23 – pm

Informal/Unorganised Sector in India The First Indian National Commission on Labour ( ) defined ‘unorganised sector workforce’ as – “those workers who have not been able to organize themselves in pursuit of their common interest dues to certain constraints like casual nature of employment, ignorance and illiteracy, small and scattered size of establishments”.

Concept of Informal Sector Informal employment includes 1 :  Own-account workers working in their own informal enterprise  Own-account worker producing goods exclusively for own final use by their household.  Contributing family workers, irrespective of whether they work in formal or informal sector enterprises  Members of informal producers’ cooperatives  Employees holding informal jobs, whether employed by formal sector enterprises, informal sector enterprises or as domestic worker employed by households and 1. International Conference of Labour Statistics (2003)

Segments of Informal Economy  Wage work for informal enterprises  Domestic work without a regular contract  Casual day labour without a fixed employer  Unregistered or undeclared work for formal or informal firms  Temporary and part-time work for formal firms  EXAMPLES (total = 106 activities): Agriculture: landless labourers, small farmers, traditional artisans, animal husbandry Industry: workers in brick-kilns, construction, beedi-making, incense stick Services: workers in local transport, shops, domestic servants, community services like street cleaning, street vendors, garbage collectors Small Workshops: shoe makers, garment makers and embroiderers At Home: garment workers artisans or craft producers On Rivers, Ponds, Lakes, and Oceans: fishermen, shippers

Informal Employment Employees are considered in informal employment when  their employment relationship, in law or practice, is not subject to: National labour legislation Income taxation Social protection or Entitlement to certain employment benefits, e.g. paid annual leave, sick leave, etc.

Estimates of Employment in India 2 Industrial CategoryNo. of persons (in millions) Formal SectorInformal Sector Agriculture Non-Agriculture Mining & Quarrying Manufacturing Electricity, Gas And Water10.04 Construction Trade, Hotels And Restaurants Transport, Storage & Comm Financial Services Community Services All Sectors28.07(93%) Year: 1999/00 (Total labour force: 406 million) (GDP share: 63%)

Labour Force Characteristics 3 UrbanShare (in percentage) MaleFemaleTotal 1. Employed Unemployed Labour Force (1+2) Not counted in the labour force Working age population (3+4) Non-working age population Population (5+6)100 RuralShare (in percentage) MaleFemaleTotal 1. Employed Unemployed Labour Force (1+2) Not counted in the labour force Working age population (3+4) Non-working age population Population (5+6)100 Year: 1999/00

Regulatory support  No formal wage policy set by the government  Wages set by state governments as per some cost of living calculation and central government directives on minimum wages.  The Constitution of India (Article 41) laid down that the State shall make effective provision for securing these rights Article 41 Right to work, to education and to public assistance in cases of unemployment, old age, sickness and disablement Article 42 Provision for just and humane conditions of work and maternity relief. The Indian Government took several steps in compliance of the constitutional requirements.  Indian Ministry of Labour set up from time to time Welfare Funds for five specific category of unorganised workers. These workers include Building and Other Construction Workers, Beedi workers, Cine workers and certain categories of non-coal mine workers.

Researching informal sector - The Wage Indicator way Possible issues of debate

Classifying the sector Clustering according to occupation  Issues: more than one occupation at a time, seasonal variation, variation according to age and experience  No of occupation categories are large : 106 Typical clustering done according to rural/urban or income level or gender Or sometimes clustering done according to household characteristics

Critical characteristics for capture through the questionnaire  Socio-economic conditions including illiteracy and level of awareness in critical areas  Nature of work (seasonal, entails migration in search of jobs)  Payment: Low/irregular wages or income Delayed/no payment of wages Generally piece rate basis or on daily basis  Social security (formal/govt. and informal/family/lender)  Formally organized as a union/association  Bargaining power (formal through association and informal through expertise/caste/education level)  Working conditions – health and safety  Harassment by police, govt. officials  Nature of child care and family support at home  Nature and intensity of problems in obtaining alternative employment  Provision/non provision of reasonable capital/credit

Possible Methodologies Purely work related analysis  primary survey of an localized area or industry (formal or SSI) or gender or occupation based on the current instrument Socio-economic analysis  Include household data – analysis includes parameters like calorie intake, indirect or hidden wages Sociological analysis  Simulating regional/occupational dynamics including economics using instrument and household data – will give a complete scenario of barriers to transparency in wages and possible ways to deal with it.

Possible data/information sources WI questionnaire: primary survey – customized, involves field work Support from national surveys like the decennial Population Census (conducts surveys after every 10 years) or NSSO (conducts the survey on regular interval of five years) or enterprise surveys like The Census of Small-Scale Industries (SSI)

Some more issues Methodological issues Monthly aggregation of data becomes difficult when frequent movement of family member or job. Direct and indirect wages and their sources Data as mostly aggregates and guesses: no culture of systematic data compilation or calculation either in mind or paper: its an urbanized mind orientation Sociological issues Illiteracy However, people open to questioning, receptive to methodologies and ideas

Possible ways ? Clustering: our own based on our objectives, balancing certain sectors, gender and double and single income individuals Include number of opinion questions  Designing unstructured/opinion questions for individuals and for groups.  Multiple questions for same item/variable to identify misinterpretations and ensure consistency Unstructured/informal interviews and discussions in groups crucial to get correct information Indirect estimation through other developmental indicators like expenditure of food, health or education or access to any of these …problem: family decision could be culture based

Thank you