streets hawkers of north campus

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    INDEX

    Motivation

    Street Hawkers

    Scope of Survey

    Features of Business Questionnaire

    Statistics for Different Types of Hawkers

    Regression Analysis & its Use

    Comparisons of Revenue, Expenditure & Profit

    Acknowledgements

    Bibliography

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    Just as Haldirams, Gianis,

    Bittoo Tikkiwala started asvendors and now they are

    BIG BRANDS today, we were

    just inquisitive to know ifone of the vendors from ourown streets would actually

    make it to the Guinness Bookof World Records!!!

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    The popular GIANI DI HATTI,a rabri falooda shop in old Delhis Fatehpuriarea. Opened in 1950 by a refugee from Layallpur(Pakistan),Giani GurcharanSingh.The establishment has opened about 20 outlets in NCR in past oneyear.The joint which was popular for its falooda, shakes and moong dal halwa,are now of to 38 flavours of ice-creams.fruit-shakes, etc.GIANIS ICE-CREAMS HAS ITS NAME IN LIMCA BOOK OF WORLDRECORDS FOR MAKING VEGETARIAN ICE-CREAM

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    It was started by Sati ram Yadav,a teacherrom Lucknow,who peddled his stuff from arehri in the early 1990s atPitampura(Delhi).Its now known as BTWand specializes in tikkis,bhala papri,golegappe,etc.

    BTW IS NOW GIVEN AINTERNATIONAL STANDARD

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    In 1937, Ganga Bishen Agarwal, ( known as Haldiram), opened a smallsweet shop in Bikaner, a small district in Rajasthan.Bhujia sev, a

    salty snack prepared by Ganga Bishen, were very popular in Bikaner.Haldiram's transition from a one-counter sweet shop in Bikaner in

    the early 1937s to a full-fledged Indian snack foods company todayloathes the concepts of marketing and branding and it was the first

    to brand its namkeens and sweets in the country..WITH AN ESTIMATED TURNOVER OF RS 400 CRORESAND A SELF-PROCLAIMED BRAND VALUATION OF RS1500 CRORES

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    We defineStreet HAWKERS as those who prepare food on thestreets that is ready-to-eat, or is prepared

    at home and consumed on the streets

    without further preparation. It is largely recognized that Street Hawking plaan important socio

    economic role in terms of employment potential, special income,and in serving the food at prices affordable to all.

    It is also dubbed as the very essence of North Campus.

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    The survey is based on information collectedfrom the

    Hawkers in the North Campus, majority ofthem from Patel Chest,

    Maurice Nagar and in the vicinity of themetro station.

    In order to carry out a realistic survey wewent to each hawker

    and asked them the questions that follow inthe questionnaire.We had to take them into confidence in order

    to get the true informationas they were reluctant to give us the correct

    figures.

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    The survey includes those Hawkers who sellonly one item i.e. all units are homogeneous.

    We have taken into account only thosehawkers which are immobile i.e. do not shift

    from their positions under any changes incircumstances.

    Also these hawkers have been observed tohave a stable business over a period of timei.e. no hawker that has recently made it to

    the campus has been included in the survey.

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    FEATURESOF

    BUSINESS

    Type OfProduct

    Sales Hours ofHawking Mobility Age ofBusiness

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    Type of product: This is a categorical variable with 5categories, which capture the types of products sold. Different

    types of products are associated with different cash flowrequirements and different practices of suppliers, includingtheir sales. The categories of Hawkers surveyed are as follows:-

    MOMOS

    BANTAWALA

    BHELPURI

    MAGGI

    CHOLEKULCHE

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    Sales:

    It is a continuous variable.

    Higher the value of sales, the higher the amountof liquidity that a hawker needs to maintain hisinventory of goods.

    This variable is estimated using a regression of

    - weekly sales on the age of business

    - hours spent hawking- type of product

    The predicted value of sales is then used in theregressions.

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    Hours hawking: This is a continuous variable

    measuring no. of hours spent in hawking per day

    it is expected to influence the amount of weeklysales positively.

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    Mobility: It is a dummy variable

    Has a value of one for those hawkers whonever changed their location ever

    A near permanent location of operation is a

    signal of survival

    It helps in building social networks andreputations in the market

    Is an important indicator ofcreditworthiness.

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    Age of business: The number of years in thehawking business

    Important variable in showingcreditworthiness.

    Incumbency may help in accumulatingreputation and collaterizable assets.

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    Selling priceper unit

    Cost priceper unit

    Cost of securityof the stall

    Age of hawker

    Years of stablebusiness

    Total no. of unitssold per day

    Questionnaire

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    Sales per month = sales per day *25{taking into account the holidays and Sundays}

    Revenue per month = sales per month *selling price per unit

    Expenditure per month = sales per month*cost price per unit

    Miscellaneous expenses {different for various hawkers

    Profit = Revenue per month Expenditure per month

    Tools of Estimation

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    Place No. of

    units sold

    per day

    Selling

    Price

    per unit

    Cost

    Price

    per unit

    Age of

    Hawker

    s

    Years of

    Stable

    Busines

    s

    Cost of

    Securit

    y

    Chattra

    Marg

    100

    50

    (summer)

    20 11 37 2 850

    MauriceNagar

    75

    50

    (summer)

    25 15 33 17 1800

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    Place No. of

    units

    sold perday

    Selling

    Price

    perunit

    Cost

    Price

    perunit

    Age of

    hawker

    Years of

    Stable

    Business

    Cost of

    Security

    Patel

    Chest

    275 20 12 48 25 1800

    Hindu

    College

    125 20 12 35 12 800

    BHELPURI

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    .Place No. ofunits soldper daySellingprice perunit

    Costprice perunitAge ofhawker Years ofstablebusiness

    Cost ofsecurityKamlaNagar

    14450(winter)

    10 6 17 2.5 500

    ArtsFaculty72

    23(winter)10 6 47 35 500

    ChattraMarg Banta-60Juice-40Banta-14Juice-10

    Banta-10Juice-10

    Banta-6Juice-7.5

    45 27 0(exception)

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    Place No. ofunitssold perday

    Sellingprice perunitCostprice perunit

    Age ofhawker Years ofstablebusinessCost ofsecurity

    Mauricenagar 200 10 5 28 8 1000

    School ofOpenlearning125 10 5 40 18 1500

    Metrostation 120 10 5 50 20 1200

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    Average Expenditure of Hawkers

    Average Profit of Hawkers

    Average Revenue of Hawkers

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    0

    20000

    40000

    60000

    80000

    100000

    120000

    REVENUE 104687.5 17208.33 48437.5 100000 37083.33

    EXPENDITURE 70437.5 10804.167 23356.25 61300 19775

    PROFIT 34250 6320.833 14925 38700 17308.33

    MOMOS BANTA MAGGI BHELPURICHOLE

    KULCHE

    PROFIT vis--vis REVENUE & COST

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    What is Regression Analysis ?

    It is a mathematical measure of the averagerelationship between two or more variables

    in terms of the original units of the data.

    It consists of choosing and fitting anappropriate model -

    usually with a view to estimating themean predicted response(i.e. the mean value of the responsevariable) or even the individualpredicted response for specified values ofthe explanatory variable.

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    Why do weuse Regression

    Model?

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    investigate a collection ofrelevant factors for their abilityto

    predict hawkers income.

    To obtain a parsimonious setof variables

    that efficiently predicts theresponse

    variable of interest.

    to investigate a collection of

    factors for their potentialassociation withthe outcome of interest

    STATISTICS th HAWKERS

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    STATISTICS - the HAWKERS

    WAY

    After fitting the regression model, we get:

    The co-efficient of regression .i.e. R=.977,0

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    ANOVA .i.e. analysis of variance consists of separating the total variability in a set ofexperimental results into components associated with the different sources of thatvariability. These components are then compared and this enable us to test the nullhypothesis H0 against alternate hypothesis HA .at 5% level of significance.

    H0 : There is no significant regression between the dependent and

    independent variables.

    H1 :There no significant regression between the dependent andindependent variables.

    P-value=0%

    This show there is significant regression between the dependent and the

    independent variables.

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    The above graph shows that, the deviation of the estimated values from theobserved values around the fitted line are almost near the fitted line.

    HENCE GIVEN MODEL IS SUITABLE.

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    From the above graph we can conclude that,

    if you start your hawking business withBhelpuri then one will have highestprofit , &

    Bantawala is the least profit earner.

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    Hours Spend on Roads/Month VS

    Profit/Month

    0

    10000

    20000

    30000

    40000

    50000

    60000

    0 50 100 150 200 250Hours S pend on Road/Month

    Profit

    perMonth

    Number of hours spend on the road hawkingdoesnt effectthe profit much aftercertain no. of hours already spend on the road,on the other hand profit depends more on the type of item sold

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    Interpolating polynomial for PROFIT=0.00126453*(-34.998+x)(-27.0755+x)(-7.8975+x)(-2.74811+x)(448.006-41.9775x+x^2)(229.929-29.6379x+x^2)(0.4917-1.2236x+x^2) *where x denotes number of years* We have obtained the above formula using Mathematika-6.0 .

    Definition : The process of obtaining a dependent value in a given dataset making use of independent data set .

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    Final Inference1.As we started the presentation with

    the concept of BTW & GIANISbecoming Big Brands, after carryingout this survey and using STATISTICS

    and MATHEMATICS we feel that 9 yrsdown the line when you come back tothis campus you may find Patel ChestBhelpuri wala having a full fledged airconditioned shop with his alreadyowned I-10 standing outside it.

    (we made use of Mathematica 6.0 tointerpolate and get the figure 8.43)

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    2.We fitted the following regression

    Model using SPSS16 consideringPROFIT as dependent variable &REVENUE, COST i.e expenditure, NO.of YEARS of stable business and NO.

    of HOURS spend on the road asindependent variables.

    The regression model fitted is asfollows:-

    PROFIT=3196.09+0.263*REVENUE+0.112*COST+21.518*YEARS-49.773*HOURS.

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    ACKNOWLEDGEMENTS Vote of thanks to RajkumariMaam, Mahesh Sir, AnuradhaMaam, Ankur Sangwaan, LohitGupta .

    Our Regards to all the Hawkerswho became such an extensive

    part of the survey and made theevent a success.

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    BIBLIOGRAPHY Access To Credit by Hawkers : Theory & Evidencefrom India. Presented in Partial Fulfillment of theRequirements of the Degree of Doctor of Philosophy

    in the Graduate School of the Ohio State University,2005 Mukta Joshi . Entrepreneurs of streets : an analytical work on the

    street food vendors of Dhaka City, February 2009,Ahemadabad Tandem Muzaffar .

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    ADITI BHARDWAJ

    TULIKA KAEIN

    RAMJAS COLLEGE