Post globalisation era in greater mumbai june 2006 efi – solar foundation mumbai


MUMBAI UNDER SCANNER – SCOPE AND COVERAGE OF THE RESEARCH



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MUMBAI UNDER SCANNER – SCOPE AND COVERAGE OF THE RESEARCH



5.1 DEFINING GEOGRAPHICAL BOUNDARIES

5.1.1 Changing geographical boundaries

The city's linear expansion northwards is a result of geographic limitations. The density of population in Mumbai is over 62 times than that of the country’s average. Though, in recent years, the growth rate of Mumbai's population has phenomenally slowed down from 44 per cent during 1961-71 to 20 per cent during 1991-2001, yet it continues to be an issue of grave concern for the city planners.


An interesting development that the city has witnessed, over the last decade, is the high-paced growth in population in the neighbouring regions. For example, during 1991-2001, the population of Thane increased by 57 per cent, while that of Navi Mumbai by 129 per cent and Mira-Bhayander by as much as 196 per cent. The rapid development on the outskirts of the city has resulted into creation of several satellite townships beyond the city’s formal geographical limits, thus changing geographical boundaries.
5.1.2 Geographical boundaries for the study

Though the city has witnessed these geographical changes in recent years, we have decided to restrict the study to areas well within the defined geographical limits of Greater Mumbai, i.e. up to Borivali in the western suburbs, up to Thane in the central suburbs and up to Mankhurd on the harbour line. This is primarily because though the city has expanded beyond these boundaries, yet bulk of the business and economic activities continue to be transacted within the said geographical limits of Greater Mumbai. Hence the term ‘Mumbai’ in the research findings should be interpreted as the city of Mumbai with the boundaries extending up to Borivali, Thane and Mankhurd.


5.2 SOURCE OF ‘EMPLOYEES’ IN MUMBAI

5.2.1 Employment sourced from the suburbs

It is a known fact that a considerably large amount of employees engaged in Mumbai are sourced from the townships. Rapid urbanisation, escalating real estate prices and the quest for better living standards have pushed the employee class (middle class families) to migrate to townships like Mira-Bhyander, Kalyan-Dombivili, Navi Mumbai. The present trend of middle class families migrating to suburbs is likely to be fuelled in the coming decades largely due to improving infrastructure facilities in these townships.


Mumbai being the financial and business capital of the country, several business and companies with national and regional presence have head offices in the city. An interesting observation with few companies is that some of the employees appointed by the office may be on the rolls of their Mumbai office, but may not be stationed/operating within the city limits. In such cases, we were faced with the dilemma of whether or not to include them into the research findings.
5.2.2 Definition of ‘Employment Generation’ for research study

During the course of this research study, we included such employees, who are on the company rolls in Mumbai, and are operating within the city and surrounding areas. Now, this would also include those employees who are employed in the city, but reside in the townships around Mumbai. However, it would not include those residing in the city, but employed in companies/businesses in townships around Mumbai. It also doesn’t cover those individuals who are on company rolls in Mumbai, but are operational (i.e. branch offices, resident employees, etc.) in other cities/states across the country.


5.3 OBJECTIVES OF RESEARCH

5.3.1 Mapping employment opportunities

The main objective of this study is to examine areas where new employment opportunities have emerged in recent years and to understand future employment trends in the city. Through this study, we are to arrive at concrete recommendations that would enable economic planners devise policy guidelines aimed at meeting city’s future expectation. The study is an earnest attempt towards understanding changing employee job profiles in various service sectors, especially at a time when the city is preparing itself to ride the boom in service sectors.


An attempt has also been made towards understanding relevance of the courses and skill training currently offered by ITIs and engineering colleges, and comparing them with expectations of the service sectors (under study).
5.3.2 Defining prime objectives for the study

Broadly, the field research activities undertaken has been aimed at understanding and gauging the extent of change witnessed over the last decade and also for projecting trends for the next five years in each of these areas:




  • Employment trends in high employment growth service sectors.

  • Industry’s requirements of employees - ‘Projected Numbers’ and ‘Skill Mix’.

  • Impact of IT in various sectors from the point of view of generating employment opportunities.

  • Extent of shift in employment among job losers due to downsizing/restructuring.

  • Understanding the relevance of employment skills imparted by ITIs and engineering colleges.



5.4 CLASSIFICATION OF SECTORS


The ten service sectors under study have been broadly divided into two categories – organised and unorganised sectors and likewise different approaches have been used so as to ensure that a higher degree of accuracy is achieved during the course of the study. Sectors like IT, Telecommunication, Courier Services, Financial, Tourism, Entertainment, Construction and Shops (Retail) have been classified as organised sectors. It has been done on the assumption that there is a certain degree of professionalism and standardisation in their business operations. Now, in case of the organised sector, we have fixed the sample size at ‘six business units’ for the research.
While sectors like Automobile Garages and Photo Copy Centres that have a dominant unorganised component has been classified as unorganised sector. We find that most of these units are family-run businesses, having smaller turnovers, engage unskilled and uneducated individuals, and lack proper documentation and accounting standards. Realising that most of the business units in these two sectors are enterprising ventures, and that authentic data may not be readily available, we have increased the sample size from six units to 12 units.
5.5 SAMPLING OF SUB SECTORS WITHIN THE SECTORS

Since some of the organised sectors are further classified into several sub-sectors, during the course of research, we have tried to cover as many sub-sectors as possible. Here the selection of sub-sectors has been on the basis of the overwhelming impact an individual sub sector has on the performance of the sector. For instance, in case of the Financial Sector, which comprises Banking, Insurance, Mutual Funds, Stock Market, Commodity Trading, etc., we have selected the Banking sub sector, as it is the oldest and biggest sub sector in the segment. While the selection of Mutual sub sector has been on the premise that it is the sunrise sub sector and it offer huge employment opportunities in the near future. The field results from these two sample sub sectors have been used to arrive at the required employment projections for the Financial Sector.






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