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Pratidhwani the Echo

A Peer-Reviewed International Journal of Humanities & Social Science

= = IS= SN: 2278-5= 264 (Online) 2321= -= 93= 19 (Print)

= = Im= pact Factor: 6.= 28 (= I= ndex Copernicus International)

= = Volume= -V, Issue-I, July 2016, Page No. 61-74

P= = u= blished by Dept. of Bengali, Karimganj College, Karimganj, Assam, India<= span style=3D'font-family:"Cambria","serif";mso-fareast-font-family:"Times New R= oman"; mso-bidi-font-family:Cambria;mso-bidi-language:BN-BD'>

        =             &nb= sp;            =         Website: http://www.thecho.in

 = ;

Trend, Pattern and Key Challenges fo= r Urban West Bengal, India

Joy Karmak= ar

Doctoral Scholar, Department of Geography, University of Calcutta, We= st Bengal India

 

Abstract

Urbanization in India is current= ly characterized by two basic trends: lopsided migration to the larger cities = and unbalanced regional economic development. In this context, this paper tries= to find out the trend and pattern of urban Centres (municipality, Municipal Corporation etc= .) of West Bengal.  To know how t= he districts are consistent in terms of level of urbanization and with other aspect of urbanization. Lastly assess the policies for small and medium tow= ns over the year regarding the balance regional economic development. <= /i>Census data has been used for analyze the trend and pattern of urban centers of We= st Bengal. It is apparent that since the independence Kolkata have remained the largest urban centers in West Bengal as well as the eastern India. There wa= s no single million size city till 2001 in the state. Even the second million si= ze city (Howrah) of the state next to Kolkata emerged not outside the Kolkata Metropolitan area. District headquarters, planned towns and other small tow= ns of the state perform in different way over the years. Policy intervention h= as played a crucial role in shaping the pattern of urbanization in the state. There was no uniform policy of urbanization rather Policy has been shaped a= nd reshaped by the different political periods.

=  

Key words: Urban center, Metropolitan Area, Mill= ion City, Lopsided migration

 

Background=

 = ;

=      The process of urbanization in India is characterized by increasing absorption = of population in larger cities. In 2001 Class I cities holding 68.7% of the to= tal urban population (defined as cities having a population of over 100,000). On the other hand 21.9% and 9.4% of total urban population was living in medium and small towns respectively. Though, in 2011 the figure slightly reduces to 60.79% of the total urban population living in the class I cities. What is remarkable is that the rate of population growth in these Class I cities has been consistently increasing over the past five decades, from 45% in 1961-7= 1 to 62% in 1991-2001 (Chattopadhyay, Basudha 2008). Similarly there is a decrea= se in population growth in smaller urban centres. Therefore it is obvious that these metro and big cities are facing challenges to their civic infrastruct= ure and service delivery capabilities (Sahasranaman 2012). In the 1980s, resear= ch on small towns and their role in economic development, as an interface betw= een agriculture and urban market and their position in ensuring rural-urban linkages and economic development was important (Raman and Alemma, et.al. 2015). By the middle of the 1980s, Hardoy and Sattertherwaite (1984) noted = that "most of the literature on urban issues in the Third World is about capital cities or large cities. Most of the concern expressed about urban problems is about problems in large cities. Yet only a small proportion of = the Third World’s population lives in large cities.” Therefore attention on small town was limited and selective. What is worthwhile to mention is that identification of small town and medium is very contentious subject. Researchers’ uses different population size parameter to identify small towns Kundu (2007) consider town below 50000 populations is a small town while Dupont (2002) believes towns below 20,000 people as “small” towns. In fact in India Number of institution prepares their own criteria to identify urban area as well as their size. These institutions include Census of India, each state government and central ministry of urban development. State government identification of urban are= a is based on their municipal act while central urban development ministry introduces size classification of urban area for disbursement of fund to central urban development project which includes JNNURM, AMRUT. The need to focus on small and medium towns as the towns of tomorrow is because of the unsustainability of current migration patterns and the need for more balanc= ed, equitable regional growth (Sahasranaman, 2012). The development of small and medium cities will be of paramount importance in ensuring sustainable urbanization for India. Appropriate planning supported by suitable financing mechanisms can help turn today’s moribund small and medium cities into the vibrant cities of tomorrow’s India. Sustained development of small and medium cities is possibly the most potent strategy to counter the curre= nt trend of lopsided development (Sahasranaman, 2012). Therefore paper will tr= y to explore the West Bengal’s cities and towns current trend, pattern and key challenges for Sustainability.<= o:p>

=  

= Objectives

=  

     The paper tries = to find out the trend and pattern of urban Centres (municipality, Municipal Corpora= tion etc.) of West Bengal.  To know= how the districts are consistent in terms of level of urbanization and with oth= er aspect of urbanization. Lastly assess the policies for small and medium tow= ns over the year regarding the balance regional economic development. The paper has two sections the first se= ctions explores the West Bengal’s towns and cities growth, trend and pattern. Second part deals with the critical aspect of urban policy making = and its effects on urban centers.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 = ;

Fig-1: Stu= dy Area

Database a= nd Methodology

 = ;

     For the study, Census data of 1951 to 2011 has been collected from Census of In= dia and various published policy paper regarding large to small towns are colle= cted from ministry of Urban Development India.

 

     To analyze the trend and pattern of urban Centres of West Bengal, census data = for a period of 1951-2011 has been taken. Urban centers have been classified in= to four types on the basis of their population sizes. This classification is m= ade with slight modification from the document of Integrated Development of Sma= ll and Medium Towns published by ministry of urban affairs and employment.

 

= i)      =   Small town population size le= ss than 20,000

= ii)      Intermediate town population size is between 20,000-50,000

= iii)    Big town population size is between 50,000-100,000

= iv)    Large town population size is between 100,000-less than 1 million

= v)      Million plus City population size is more than 1 million

 

     This scheme of classification is taken in keeping view that the central governme= nt various urban development programme follows this classification for funding disbursement and that is crucial for sustainability for small and medium to= wns. Following map shows the spatial distribution of town and city size of West Bengal as per above mentioned scheme.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Fig-2:  Distribution of Different Size Urban Centers of West Bengal 2011

 

     A consistency te= st of level of urbanization along with other aspect of urbanization has been anal= yzed across the district. In order to know whether these (Urban Population Densi= ty (UPD), Share of Urban Population (SUP), and Percentage of Urban Area (PUA) Share of Urban Area (SUA)) aspects vary consistently with LU, we examined t= he extent of deviation of all these aspects through their ranks with respect to the corresponding rank in LU for individually all the 18 districts. This was accomplished by comparing the rank of a particular district in LU with the ranks of that district on the basis of the above mentioned aspects. By these comparisons the districts have been grouped into three categories.

 

Category A        =        no deviation or coincidence of the ranks

Category B=         =        deviation by 1 or 2-ranks

Category C        =        deviation by 3-ranks

 

=      If a district fa= lls into the category-A, it will be termed as perfectly consistent; if it falls into the category-B then moderately consistent and finally, if it falls into the category-C, it will be considered as marginally consistent.<= /span>

Symbolically,

if RL= U- RUPD  =3D 0 perfectly consistent

if RL= U- RUPD  =3D 1 or 2 moderately consistent

if RL= U- RUPD  =3D 3 marginally consistent

 = ;

=      Where, RLU<= /sub> =3D Rank of Level of urbanization, RUPD =3D Rank of Urban Popula= tion Density

= On the basis of the above discussion the comparison between level of urbanizat= ion and various aspects was carried out for the census years of 2001 and 2011. Lastly a multiple correlation is tested between level of urbanization and various other factors.

=  

= Results & Discussion=

=  <= /p>

Growth, Tr= end and Pattern of Towns and Cities in West Bengal

 = ;

     Broadly towns and cities can be categorized into statutory and non statutory. It should be no= ted that paper concern only about the statutory town’s growth, its trend = and pattern. Non statutory towns are called census town (It is a rural area but have potentialities to become urban area) which identifies by the census of India using three fold criteria includes population size, density and male = work participation.=

 

 

 

 

 

 

 

 

 

 

 

 

 

Fig-3: Absolute Growth of Statutory and Census Towns of West Bengal

 

It’s apparent from the figure 3 that number of census towns is much higher than statutory towns. From mid 1980s there is a sharp growth of census town in t= he state. While it indicates that municipalization of the state is very sluggi= sh.

 

Table-1: Population Growth of Different Towns and Cities of West Bengal 1951-2011

 

 

Small Town

Intermediary Town

Big city

Large city

Million city

1951-61<= o:p>

-0.77

23.67

4.14

13.52

1.35

1961-71<= o:p>

-2.30

-6.48

5.48

7.82

1.23

1971-81<= o:p>

-6.96

-7.75

-4.35

6.24

1.10

1981-91<= o:p>

7.81

29.80

6.07

8.76

0.66

1991-01<= o:p>

-4.61

-0.79

-1.08

5.17

2.70

2001-11<= o:p>

0.64

-0.25

2.79

0.80

-0.02

 = ;

Source: Ce= nsus of India 1951, 1961, 1971, 1981, 1991, 2001, 2011

 

     Lopsided urbaniz= ation & migration pattern of state is very clear from table 1. It shows that = in small town population growth is negative since 1951 to 1981 and 1991 to 200= 1. Positive growth of population happens only in two decades which include 198= 1 to 1991 and 2001-2011. In case of intermediate towns the positive growth of population occurs only in two decades i.e. 1951-1961 and 1981-1991. While in case of big cities negative population growth occur only in two decades i.e. 1971-1981, and 1991-2001. The scenario is completely reverse both in large = and million cities, where population growth is positive since 1951 to 2011. Negative population growth occurs only in million cities in 2001-2011. The negative population growth of small town is the result of selective destinations i.e. linked with availability = of employment and other opportunities, leading to regionally unbalanced urbanization as also distortions in urban hierarchy (Kundu 2008).

 

Table-2: Population Share of Different Towns and Cities of West Bengal 1951-2011

 

 

Small Town

Intermediary Town

Big city

Large city

Million city

1951

9.06

17.31

16.26

9.37

47.99

1961

5.02

35.07

13.83

13.26

32.80

1971

3.94

12.56

21.82

24.09

37.55

1981

1.23

2.90

12.66

40.26

42.90

1991

1.41

7.43

13.11

48.61

29.42

2001

0.58

5.25

8.96

56.55

28.64

2011

0.58

4.78

10.73

57.17

26.72

 = ;

Source: Census of India 1951, 1961, 1971, 1981, 1991, 2001, 2011

 = ;

    Population share of small, intermediate= and big cities declined over the six decade. Large and million cities population share increases over six decades. Higher population share in large and mill= ion cities indicates the higher levels of poverty and greater deprivation in sm= all, intermediate towns and big cities leads to the migration of large and milli= on cities (Kundu 2008). It is significant that post 1990 million cities (Kolka= ta and Howrah) population share is sharply decreasing. It is to note that population share of Kolkata Metropolitan Area (municipality and municipal corporation and cantonment areas population are included and rural areas population within KMA are excluded) also declined at 1.13%. Decline populat= ion share indicate shrinking economic base of the state. The state saw industrial projects worth Rs 312 crore being implement= ed in 2012, which was a fall of nearly 85% over the previous year, and 97% over 2010, according to data from the West Bengal Economic Review 2012-13 (Acharya 2013).  Decentralization of urban population can also be a cause for decline of population share. Number of studies shows that West Bengal urbanization pattern is changing (Cha= tterjee 2013). Urban population is spread across t= he fertile alluvial plain (Districts which have substantial proportion = of Alluvial Plain include Both N &S Dinajpur, Malda, Murshidabad, Hooghly,Nadia,Burdwan and both N & S 24 pgs) of West Bengal (Karmakar 2015) and earlier this was confined only in Kolkata Metropolitan area and urban complex of Durgapur and Asansole (Dasgup= ta 1988). It is remarkable that the spread ur= ban population is not restricted within statutory towns rather there is an emergence of large number of census towns. Scholars identified this form of urbanization into different terms. Kundu (2011) noted this form as exclusionary urbanization the poor are downgrade to the degenerated periphe= ries (Kundu 2011). Revi et al. (2006) highlighted the possible interconnectednes= s of urban and rural in subaltern urbanization with their proposed concept of Rurbanism. Denis et.al (2012) identified this spatial transformation of rur= al or peri urban area as subaltern urbanization.

 

    District surrounds Kolkata have large number of towns and they are large in size com= pare to other towns away from Kolkata. North 24 pgs have total 22 large towns wh= ich have population more than 100,000 but less than one million. Only Gobardang= a, Garulia, Baduria, New Barrakpore, Taki and Nabadiganta Industrial estate ha= ve less than 100000 populations.  In Burdwan there are six large statutory towns which include Jamuria, Raniganj, Asansole, Drgapur, Burdwan and Kulti. Apart from North 24 pgs and Burdwan; Hooghly, Nadia and Medinipur have some large no of towns. Part of Hoogly, N= orth 24 pgs and Nadia is under Kolkata Metropolitan area and these towns are par= t of suburban Kolkata.

 

        Fig-5:    Types of Urban Centres in 2001               =    Fig-6: Types of Urban Centres in 2011        

 

    The distribution of urban centers among four categories shows that dominance of large cities is declining while intermediate and small towns are growing. I= t is remarkable that number of big city emerges in backward districts like Murshidabad, Birbhum, Nadia, Kochbihar and south 24 pgs and Medinipur. All = the districts have at least 3 big cities. Such towns have significant role in shaping the pattern and level of urbanization of the district. Consistent t= est of 2001 and 2011 shows how level of urbanization is consistent with some ot= her aspects of urbanization across 18 districts of the state. 

 

Table-3: Consistency Status of the Distric= ts in the Census Years of 2001and 2011

 

Census Years

Consistent

Moderately Consistent

Marginally Consistent

Urban Population Density (UPD)

 

2001

 

 

Kolkata,

South 24 Pgs

 

North 24Pgs,Hooghly,Howrah,

Bankura, Murshidabad,

Darjeeli= ng

South Dinajpur, North Dinajpur, Malda, Birbhum, = Nadia, Kochbihar, Burdwan, Medinipur, Puruliy= a, Jalpiguri

 

 

2011

 

 

 

 

Kolkata

 

&nb= sp;

North 24 Pgs, Hooghly, Medinipur, South 24 Pgs

South Dinajpur, North Dinajpur, Malda,Birbhum, Nadia, Kochbihar, Burdwan, Howrah,Bankura,Murshidabad,Darjeeling, Jalpiguri,Puruliya

 

Census Years

Consistent

Moderately Consistent

Marginally Consistent

Percentage of Urban Area (PUA)

&nb= sp;

2001

Kolkata, Burdwan, Hooghly, North Dinajpur,=

&nb= sp;

North 24 PGS, Howrah, Nadia, Jalpiguri, South 24 Pgs, Puruliya, Kochbihar, Birbhum, Bankura, Malda

Darjeeli= ng South Dinajpur, Murshidabad, Medinipur

&nb= sp;

2011

Kolkata, Burdwan,Howrah, North Dinajpur, North 24 PGS, Banku= ra

Darjelin= g, Hooghly, Jalpiguri, South 24 Pgs, Nadia, Birbhum, Puruliya, Kochbihar

Murshida= bad,Malda, Medinipur, South Dinajpur

Share of Urban Area (SUA)

&nb= sp;

&nb= sp;

2001

&nb= sp;

&nb= sp;

North 24= Pgs, Birbhum

Howrah, Hooghly, Nadia, Jalpiguri, Murshidabad, Kochbihar, Malda

Kolkata, Burdwan, Darjeeling, South 24 Pgs, South Dinajpur,North Dinajpur, Puruliy= a, Medinipur,Bankura

&nb= sp;

2011

&nb= sp;

       Bi= rbhum

Howrah, Hooghly, Nadia, Jalpiguri, Murshidabad, Kochbihar, Malda, North Dinajpur, North 24 Pgs

Kolkata, Burdwan, Darjeeling,Jalpiguri, South 24 Pgs, South Dinajpur,Puruliya,

Medinipu= r, Bankura

Share of Urban Population (SUP)

&nb= sp;

2001

Hooghly, Malda, = North Dinajpur, Puruliya

&nb= sp;

Kolkata, Burdwan, Howrah,  Nadia, Sou= th 24 pgs, Murshidabad, Kochbihar,Bankura

Darjeeli= ng,Jalpiguri, South  Dinajpur, Birbhum ,Medinipur

&nb= sp;

2011

&nb= sp;

Kolkata, Nadia, Malda, Birbhum, Puruliya, North Dinajpur, Kochbihar,

Darjeeli= ng, South 24 Pgs,  South  Dinajpur, Medinipur

Howrah, = North 24 Pgs, Burdwan, Hooghly,Jalpiguri,Murshidabad, Bankura=

Source: Ce= nsus of India 2001, 2011, Data compiled by author

=  

=      Rouf and Jahan (2001) used this method to analyze the trend and pattern of Bangladesh urbanization. Paul and Chatterjee (2012) also used this method to analyze North 24 Pgs urbanization pattern.=   The above table 3 shows that there exists a significant difference between the census years of 2001 and 2011 regarding the consistency status = of the districts. It is also evident from the table 3 that there are two kind = of consistency trend across the districts with different aspect. In case of UPD and SUA number of consistent district reduces in 2011 compare to 2001 while= in case of PUA and SUP number of consistent district increases from in  2011 compare to 2001. It indicates= the dispersal of urban population across the various district as well as growth= of share of urban area. It is remarkable that from 1991 to 2001 growth of statutory urban was only 1.92 percent where as this figure become 5.27 perc= ent in 2001 to 2011. 

=  

=      Coefficient of rank correlation was computed for all the four aspects, viz., PUA, UPD, = SUA and SUP with LU separately for both of the 2001 and 2011 census years (Table 4). The obtained results support our findings.

=  

        =             &nb= sp;            Table -:  Rank Correlat= ion Coefficient

 = ;

Spearman Rank Correlation

 

2001

2011

LU-UPD

0.432

0.279

LU-PUA

-0.147

0.905

LU-SUA

0.690

0.574

LU-SUP

0.824

0.828

        

        Source: Calculated by author<= o:p>

 = ;

=      It is evident from Table 4 that in both census years SUP remain highly consist= ent aspect with coefficients of rank correlation 0.824 and 0.828 respectively. = In case of PUA it is lowest consistent in 2001 with coefficients of rank correlation -0.14 and become highest consistent aspect in 2011 with coefficients of rank correlation 0.90. It is due to fact that decadal growt= h of statutory urban area in west Bengal increases 5.27 percent in 2011 and it w= as 1.92 percent in 2001.  UPD is = lowest consistent with coefficients of rank correlation 0.27 in 2011 and in 2001 coefficients of rank correlation 0.43 was just ahead of the PUA.

=  

Table -5: Correlation between levels of urbanization and other aspects=

 = ;

UP

SDPUA

PCSDP

NSSIU

DSR

ESSI

ERF

UP

1

SDPUA

0.931

1

PCSDP

0.696

0.867

1

NSSIU

0.864

0.878

0.740

1

DSR

0.183

0.095

0.127

0.323

1

ESSI

0.676

0.667

0.505

0.711

0.205

1

ERF

0.705

0.473

0.220

0.636

0.378

0.397

1

 = ;

Source: Calculated by author

 = ;

<= span style=3D'mso-spacerun:yes'>     UP- Urban Population, SDPUA-State Domestic Product of Urban Area, = PCSDP- Per Capita State Domestic Product, NSSIU- No of Small Scale Industry Unit, = DSR- District wise Surface Road in Km, ESSI- Employment in Small S= cale Industry, ERF- Employment in Registered Factory

     It is important = to find out the factors to identify the recent changes of pattern of urbanizat= ion. Factors include SDP of Urban Area= , Per Capita SDP, no of Small Scale Industry unit; district wise Surface Road in = Km, Employment in Small Scale Industry, and Employment in Registered Factory. T= hey have played crucial role in reshaping the pattern of urbanization in West Bengal. `Urban population is highly correlated with three factors which inc= lude State Domestic Product of Urban Area, No of Small Scale Industrial Unit, and Employment in Registered Factory, and employment in small scale industry. S= DP of urban area and per capita SDP increase due to the growth of small scale industrial unit and its growing employment. The following table 6 is shows = the Entrepreneurs Memorandum to Micro, Small and Medium Enterprises of West Ben= gal.=  

 

Table-6: Number of EMs issued= to Micro, Small and Medium Enterprises of West Bengal

 <= /p>

Year

Manufacturing

Service

Total

2006-07

7379

783

8162

2007-08

16164

1465

17629

2008-09

12225

1206

13431

2009-10

10682

906

11588

2010-11

9089

1012

10101

2011-12

12199

1260

13459

2012-13

9542

788

10330

2013-14

9759

1621

11380

2014-15 (March)

13243

2001

15244

Total

100282

11132

111414

 

Source: State Industrial Profile of West Bengal 2015-16 by MSME

 

     It is apparent that over the decade number of Entrepreneurs Memorandum to Micro, Small and Medium Enterprises incre= ases and these units are established mainly in small and medium towns of the sta= te.=  

 

 = ;

 = ;

Critical Aspect of Urban Policy Making and its Effects on Urban Centers

 = ;

    Today urban policy making is a serious agenda to both central and state governmen= t. The importance of urban policy making was recognized in third five year plan (1961-1966). Though, its focus was very limited. Its concerns include master plan preparation, promotion of housing and outlay for urban development programmes. It is to be noted that this was the period when urban policy fo= cus was lay largely to the metropolitan city. There was grater ignorance to the small and medium towns. Development economist conceptualized this way of po= licy making as urban bias or metropolitan bias through overtly taxed agriculture= and transferred resources to industry and other urban activities (Lipton 1977).  Ferre, Ferreira and La= njouw (2010) also showed the same thing by examining the case of 8 developing countries. They noted that any strategy for urban poverty reduction that pl= aces greater focus on, or allocates more resources to, metropolitan areas, suffe= rs from a “metropolitan bias” analogous to the urban bias of old’. Shaw (2013) noted that top down approach was followed during nationalist period and it gave priority to urban based industrial developme= nt, focusing on already developed areas i.e. the large cities and particularly = the metropolitan cities. Integrated Urban Development Programme (IUDP) was introduced in the fifth five year plan as broad programme for over all development. However the programme focused on metropolitan cities like Calcutta, Bombay and Madras and areas of national importance. The scheme was discontinued in 1979. The sixt= h five year plan (1980-85) put down emphasis on the development of small and medium towns. The sixth five year plan notes the negligence of urban services and infrastructure in the small, med= ium and intermediate towns and point out that it is necessary for future to foc= us on small, medium and intermediate towns. With this vision Integrated Development of Small and Medium Towns (IDSMT) was launch in 1970= -80. The programme was applicable to all towns/cities with a populati= on of up to 5 lakh. The scheme continued till the middle of the 10th plan peri= od and covered 1854 towns till 2004-05. After which it was subsumed in UIDSSMT. The programme is running only 25 urban centers in west Bengal till 2010. Th= ough such programme focus on infrastructure development in small and medium towns which include water supply, sewerage, solid waste management and roads, this programme are not spread across all the small and medium towns. In West Ben= gal its coverage is only 19 percent. Under this programme all the small and med= ium towns of the state are mainly involved in water supply program. Apart from limited coverage, slow and small disbursement of fund is major challenge. S= uch limitations have greater effect on large and mega cities. On June 2015 mini= stry of Urban development government of India introduces new programme called Atal Mission for Rejuvenation and Urban Transformation for 500 Indian cities population with more than 1 lakh. = This programme mainly focused on improvement of urban services which include wat= er supply, sewage, transport etc. It shows policy level apathy towards small a= nd towns.

 

     Kundu and Sarangi (2005) also point out that there is an inverse relationship bet= ween poverty rates and the size of towns, with the poverty rate in large (one million plus) cities at 14.2% and in small cities at 24.2% in 1999-2000.  What is remarkable that Kundu and G= upta (1996) point out that small and medium city are nowhere as attractive as the larger cities for manufacturing companies looking to set up new units. The = poor economic profile of these cities has resulted in economic stagnation, and i= t is this economic stagnation that has repelled rural migration. Economic stagna= tion in small and medium town is the result of low quality of infrastructure and service delivery in smaller cities. National Institute of Urban Affairs (NI= UA) study by Raghupathi (2005) on the status of water supply, sanitation and so= lid waste management in urban areas confirms that the coverage of basic service= s in metropolitan cities is higher than other medium and small cities. In fact t= owns and cities close to metropolitan area have a greater accessibility of servi= ces while the remote towns have very poor accessibility of basic services in We= st Bengal (Karmakar 2015). Therefore it is imperative to build sufficient infrastructure in small and medium towns to attract industry as well hold t= hose people who are migrating in search of jobs to large and big city. West Beng= al small and intermediate towns lack both urban infrastructure and services. T= here is a lack of policy intervention both from state and centre.

 

Conclusion=

 = ;

     Paper focuses on number of aspects of urban centers of West Bengal. It shows that small and intermediate towns are negatively growing and big and large city = are positively growing. Population share of small, intermediate and Million plus city is decreasing while it’s increasing in case of big and large cit= y. Therefore people are staying more in large city compare to million cities. = It may be due to higher cost of living in million city while poor service and infrastructure in case of small and intermediate towns.  Urban area both in percent and sha= re has very high correlation with level of urbanization. Dispersion of urban popul= ation is also a remarkable and it is highly correlated with number of small scale industry units which helps to transform the sma= ll towns and surrounding rural areas economy.  But lack of infrastructure in small= and intermediate town is major problem and there is no major programme or strat= egy to develop small and intermediate town more attractive.

 

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Trend, Patter= n and Key Challenges for Urban West Bengal, India        =             &nb= sp;            Joy Karmakar

 

Volume- V, Issue-I        =             &nb= sp;            =                    =          July 2016  &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;  74

 

Volume- V, Issue-I        =             &nb= sp;            =                    =              July 2016  &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;          <= !--[if supportFields]> PAGE   \* MERGEFORMAT 61

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