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A Study of Main Determinants
of Bollywood Movies, GDP
Growth and Adjusted Gross
Collection.
BHAWANA RANI SHILPI THAKUR
(12071208021) (12071208015)
INTRODUCTION
 Indian film industry now ranks as the
largest film producing country in the
world.
 There are variety of movies which are
fallen under the category of different
genre.
 Study of Bollywood determinants with
adjusted collection of every years top hit
movie.
 Different variables are captured : genre,
ratings, running time, technical specs &
censorship.
LITERATURE REVIEW
Rajesh Ja Head of media & entertainment, KPMG
India said, ―The untapped potential for growth in
media reach, impact of digitization and convergence,
better consumer understanding sustained efforts in
innovation.
 Bollywood is world‘s largest film producer.
 It produces close to 1000 movies a year, for that
approximately 14 million viewers swarm the
theaters each day and it sold more than four billion
cinema tickets every year.
 With the growing competition on domestic as well
international market Bollywood has started to
spend a fortune towards movie marketing in order
to drive the business.
DATA DESCRIPTION
TITLE OF STUDY:
Study of main determinants of
Bollywood movies, GDP growth and
Adjusted collection.
DATA OBJECTIVE:
To analyze the correlation between the
adjusted collection and different
determinants and other economic
variables.
Dependent variable
Adjusted collection:
It represents the percentage of
reimbursement collected from the total
amount allowed based on contractual
agreements and other payments.
Explanatory variables
Genre:
It contains the movie’s type as what content
is depicted like action, adventure, comedy,
crime, fantasy, romantic etc.
Ratings:
score of the movie on the basis of their
performance out of 10.
Run time:
Run time is the amount of time of visualization
of movie. The notion of how long this should be
has varied according to time and place.
Certificate:
Central Board of Film Certification (CBFC) is a
statutory body under Ministry of Information
and Broadcasting, regulating the public
exhibition of films under the provisions of the
Cinematograph Act 1952.
GDP
Gross domestic product (GDP) is defined by as
an aggregate measure of production equal to the
sum of the gross values added of all resident
institutional units engaged in production plus any
taxes, and minus any subsidies, on products not
included in the value of their outputs.
AGRICULTURAL GDP
Agriculture corresponds to ISIC divisions 1-5 and
includes forestry, hunting, and fishing, as well as
cultivation of crops and livestock production.
Value added is the net output of a sector after
adding up all outputs and subtracting intermediate
inputs. It is calculated without making deductions
for depreciation of fabricated assets or depletion
and degradation of natural resources.
METHODOLOGY
Correlation matrix analysis
Correlation is a term that refers to the
strength of a relationship between two
variables.
Means procedure:
Variable Label Mean Std Dev Kurtosis
VAR4
GENRE
RUN_TIME
TECHNICAL_SPECS
AGRICULTURAL_GDP
GDP Growth
CERTIFICATE
ADJUSTED_COLLECTION(cr.)
GENRE
RUN_TIME
TECHNICAL_SPECS
AGRICULTURAL_GDP
GDP Growth
CERTIFICATE
437.2270492
3.6229508
172.5901639
1.8196721
1934.77
13074.62
2.2950820
295.5802424
2.7878542
17.2948712
0.3876509
2913.55
11667.28
0.6914782
3.9225700
1.4546621
3.3569785
0.9373147
4.3113185
1.5277241
-0.0165638
RESULT AND CONCLUSION
 Mean is significant but it is different if we
control it for other variables.
 There is no multi-co linearity in this model.
 only run time & ratings is most significant
and after that some genre category are also
significant.
 There is negative relationship between
economic factors and adjusted collection of
Bollywood hits.
REGRESSION ANALYSES:
R2 value is calculated which is 0.7334 and
replicates that independent variable
(adjusted collection) explains 73.34%
variables of dependent variable data which
shows the normal distribution of the model
and it is very significant.
No. of observation =61
F(18,42) =6.42
Probe> F =0.0000
R-squared =0.7334
Adjusted R-squared =0.6192
Root MSE =0.44226

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Study of Main Determinants of Bollywood Movies

  • 1. A Study of Main Determinants of Bollywood Movies, GDP Growth and Adjusted Gross Collection. BHAWANA RANI SHILPI THAKUR (12071208021) (12071208015)
  • 2. INTRODUCTION  Indian film industry now ranks as the largest film producing country in the world.  There are variety of movies which are fallen under the category of different genre.  Study of Bollywood determinants with adjusted collection of every years top hit movie.  Different variables are captured : genre, ratings, running time, technical specs & censorship.
  • 3. LITERATURE REVIEW Rajesh Ja Head of media & entertainment, KPMG India said, ―The untapped potential for growth in media reach, impact of digitization and convergence, better consumer understanding sustained efforts in innovation.  Bollywood is world‘s largest film producer.  It produces close to 1000 movies a year, for that approximately 14 million viewers swarm the theaters each day and it sold more than four billion cinema tickets every year.  With the growing competition on domestic as well international market Bollywood has started to spend a fortune towards movie marketing in order to drive the business.
  • 4. DATA DESCRIPTION TITLE OF STUDY: Study of main determinants of Bollywood movies, GDP growth and Adjusted collection. DATA OBJECTIVE: To analyze the correlation between the adjusted collection and different determinants and other economic variables.
  • 5. Dependent variable Adjusted collection: It represents the percentage of reimbursement collected from the total amount allowed based on contractual agreements and other payments. Explanatory variables Genre: It contains the movie’s type as what content is depicted like action, adventure, comedy, crime, fantasy, romantic etc.
  • 6. Ratings: score of the movie on the basis of their performance out of 10. Run time: Run time is the amount of time of visualization of movie. The notion of how long this should be has varied according to time and place. Certificate: Central Board of Film Certification (CBFC) is a statutory body under Ministry of Information and Broadcasting, regulating the public exhibition of films under the provisions of the Cinematograph Act 1952.
  • 7. GDP Gross domestic product (GDP) is defined by as an aggregate measure of production equal to the sum of the gross values added of all resident institutional units engaged in production plus any taxes, and minus any subsidies, on products not included in the value of their outputs. AGRICULTURAL GDP Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources.
  • 8. METHODOLOGY Correlation matrix analysis Correlation is a term that refers to the strength of a relationship between two variables. Means procedure: Variable Label Mean Std Dev Kurtosis VAR4 GENRE RUN_TIME TECHNICAL_SPECS AGRICULTURAL_GDP GDP Growth CERTIFICATE ADJUSTED_COLLECTION(cr.) GENRE RUN_TIME TECHNICAL_SPECS AGRICULTURAL_GDP GDP Growth CERTIFICATE 437.2270492 3.6229508 172.5901639 1.8196721 1934.77 13074.62 2.2950820 295.5802424 2.7878542 17.2948712 0.3876509 2913.55 11667.28 0.6914782 3.9225700 1.4546621 3.3569785 0.9373147 4.3113185 1.5277241 -0.0165638
  • 9. RESULT AND CONCLUSION  Mean is significant but it is different if we control it for other variables.  There is no multi-co linearity in this model.  only run time & ratings is most significant and after that some genre category are also significant.  There is negative relationship between economic factors and adjusted collection of Bollywood hits.
  • 10. REGRESSION ANALYSES: R2 value is calculated which is 0.7334 and replicates that independent variable (adjusted collection) explains 73.34% variables of dependent variable data which shows the normal distribution of the model and it is very significant. No. of observation =61 F(18,42) =6.42 Probe> F =0.0000 R-squared =0.7334 Adjusted R-squared =0.6192 Root MSE =0.44226