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    www.tjprc.org  [email protected] 

    TOURIST PERCEPTION TOWARDS JHARKHAND; A DISTRICT-WISE STUDY

    PRANJAL KUMAR1 & ASHUTOSH MISHRA2 1Associate Lecturer, Department of HMCT, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    2Assistant Professor, Department of Management, Birla Institute of Technology, Lalpur Campus,

    Ranchi, Jharkhand, India

    ABSTRACT

    Jharkhand an eastern state of India carved out from Bihar made its separate identity as 28th state of the country in

    the year 2000. The state has 24 districts with primary impression of mineral rich state which accounts for 40% of the

    mineral resources of India. Tourism perception of the state is undermined because of the image of huge mineral supporting

    state to the country. The state has inherent natural beauty and entails all form of tourism dispersed categorically across the

    24 districts. The perception of the tourist visiting among different districts of Jharkhand is of utmost importance for the

    overall tourism identity of the state. The paper a ttempts to study the perception of types of Tourism available in

    Jharkhand amongst the important districts empirically considering distinctive characteristics for tourist activity required to

    choose type of tourism in any particular destination.

    KEYWORDS: Jharkhand Tourism, Types of Tourism, Districts of Jharkhand

    INTRODUCTION

    Jharkhand as a gateway of tourism is spread across its 24 states which can be considered adding towards tourism

    because of rich natural beauty, forest, wildlife, mountain, waterfalls, dams, rivers, temples, etc. The industrial city of

    Ranchi is its capital and Dumka is sub capital, Jamshedpur is the largest and the biggest industrial city of the state, while

    Dhanbad the coal capital of India is the second most populous city. The name "Jharkhand" means "The Land of Forests".

    Every state has its importance due to its history and rareness. Jharkhand has several tourist locations, besides its vast

    potential of rural, Eco, Cultural, Adventure and Health tourism. The state also has tremendous scope for adventure tourism

    because of its forests and hills. One can go for trekking, para-gliding or para-sailing. Then, there can be circuits for religion

    tourism, linking Dumka, Deoghar, Parasnath and so on.

    Table 1: Jharkhand Profile

    Jharkhand : A Snapshot 

    Area 74,677 Sq. Km

    Population (2001 census) 26,909,428

    Population Density 360 people per Sq. Km.

    Literacy Rate 59.6%

    Principal Languages Hindi & Santali

    Source: Market Pulse, Tourism Survey of Jharkhand

    The important districts which contribute majorly to Jharkhand tourism is tabulated according to their attractions.

    International Journal of Sales & Marketing

    Management Research and Development (IJSMMRD)

    ISSN(P): 2249-6939; ISSN(E): 2249-8044

    Vol. 5, Issue 3, Jun 2015, 9-24

    © TJPRC Pvt. Ltd.

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    10 Pranjal Kumar & Ashutosh Mishra 

    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    Table 2: Tourist Attractions in Jharkhand

    S. No. Name of the District Attractions 

    1 RANCHI

    Tagore Hill, Hunduru Fall, Dasham Fall, Jonha

    Fall, Hirni Fall, Jaggannath Temple, Ranchi Hill,

    Sun Temple, Rock Garden,Ranchi Lake,BirsaJaivikUdyan, Fun Castle, Sidhho-Kanho

    Park, Nakshatra Van, MachhaliGhar,

    AmreshwarDham, PanchaGagh Fall Etc.

    2 JAMSHEDPUR

    Jubilee Park, Dimna Lake, Dimna Wild Life, Sir

    Dorabji Tata Park, Hudko Lake, Keenan Stadium,

    Tata Football Acadamy, Jrd Tata Sports Complex,

    Gliding And Flying Clubs, Tata Steel AdventureFoundation, Tribal Culture Centre etc

    3 DEOGHAR

    Baba Baidhnath Temple, Tapovan, Noulakha

    Temple, NandanPahar, Satsang Nagar, NavDurga

    Temple, Ram Krishna Ashram, Pagal Baba

    Temple, HijlaJoria, Mandar4Hills, TrikutiPahar,

    Dev S5angh etc.

    4 BOKAROBokaro Steel City & Plant, City Park, Garga Dam

    etc.

    5 DHANBAD

    CharakPathar, ChatiGobindpur, Golapur,Jhinjhipahari, Meva, Panrra, Chark- Khurd,

    Topchanchi, Maithon, Panchet, Jamadoba. Etc

    6 HAZARIBAGH

    Hazaribagh Wildlife Sanctury, Rajrappa Temple,

    Hazaribagh Lake, Canary Hills, Parasnath

    Temple, Telaiya Dam, Surajkund, HariharDham,

    Urwan Tourist Complex Etc

    7PALAMU

    Palamu Wildlife Santuary, Palamu Fort Of Sri

    MendinRpy, Betla National Park, Upper Ghaghri

    Water Falls, Lower Ghaghri Water Falls, Lodh

    Falls, Old Quila And New Quila FortSource: Tabulated from the information available in website www.jharkhanddarshan.com

    TOURISM TRENDS AT JHARKHAND

    The state has not been able to fully capitalize the potential tourism opportunity and types of tourism it can offer

    due to negative image of Naxal menace and very bleak security and safety of the tourist. The menacing presence of

    Maoists in Jharkhand is surely a huge reason which has kept the state out of bounds for foreign tourists1. Jharkhand

    percentage share in domestic and foreign tourist makes it even more conspicuous. According to Indian Tourism Statistics

    released by Ministry of tourism Jharkhand's share in foreign tourist was "negligible". This is not all. Only 0.9 per cent of

    the total domestic tourists have cared to visit Jharkhand. In terms of domestic and foreign tourists, the state is respectively

    ranked 17th and 28thIncidentally 22 out of the 24 Jharkhand districts - which are home to some breath-taking tourist

    destinations - are infested by extremism. Jharkhand can rightly boast of featuring on its map some of the most scenic spots

    in the country. But they are not exactly attracting tourists, even those from the neighbouring states, who were once frequent

    in their visits.

    Jharkhand provides almost all important types of tourism ranging from

    •  Tribal Tourism

    •  Mining Tourism

    1http://indiatoday.india.indiatoday.in/articlePrint.jsp?aid=56806

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    Tourist Perception Towards Jharkhand; A District-Wise Study  11

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    •  Wild life Tourism

    •  Nature and Eco tourism

    •  Heritage Tourism

    •  Medical Tourism

    •  Cruise and Adventure Tourism

    •  Religious Tourism

    •  Spiritual Tourism

    However amongst the above mentioned tourism the popular tourism of the state are Tribal tourism due to its rich

    tribal population and their influence over the state. Mining tourism at Dhanbadconsidered to the coal mining capital of the

    country. Wild life tourism at Hazaribagh due to rich wildlife and dense forest and valley. Nature and Eco tourism at Ranchithe capital of the state almost equivalent to hill station due to its scenic beauty, waterfalls, dams and climate. Religious

    tourism is very popular due to two very famous abodes of Goddess Durga in the state that attract devotees from all over

    India. Maithan near Dhanbad and Rajrappa near Ramgarh are two very important pilgrimagesand many more important

    temples of national and world fame. Rest of the tourism exist but compared to other tourist destination they are almost

    negligible due to poor facility and support from the local government of a particular district.

    RESEARCH METHODOLOGY 

    The paper attempts to investigate the perception of the tourist of six districts under the study i.e. 1. Deoghar, 2.

    Ranchi, 3. Jamshedpur, 4. Hazaribagh, 5. Dhanbad, 6. Palamu. The districts selection was taken considering the importance

    and identity of the districts associated with the types of tourism. The attributes considered to represent an individual for the

    delight of tourism were done on conceptual basis. The perceptions of 50 responses in each state were taken to find out the

    significantrelationship of six districts with distinctive tourist activity required to choose the type of tourism in Jharkhand

    state. The responses were collected through tourists staying in important hotels, dharmshalas, rest houses and guest houses.

    Further the tour operators were also involved in assisting the collection of responses through their past experiences. At

    Deoghar the location identified for the responses was near GhantaGharChowk an important place neat Baba Dham. The

    responses from Ranchi districts were collected through tourists staying in star rated as well as budgeted hotels. Responses

    from Jamshedpur were collected through tourists visiting at Jublie Park and with the help of the employees of JUSCO

    involved in keep up of important tourist attraction. The responses from Hazaribagh, Dhanbad and Palamu were collected

    through travel agents and tourists at important attraction of these districts. The Factor loading were analysed to considering

    the significance of each variable postreliability. One-Way ANOVA and Chi-Square test were applied to find the extent of

    significance and test of independence between the variables and its influence over the six districts.

    Table 3: Analysis and Interpretation of Data 

    S. No. Description of the Variables Variable

    1. Gender of the Tourists GENDER

    2. Religion of the Tourists RELIGION

    3. Social Class of the Tourists SOCIAL_CLASS

    4. Age of the Tourists AGE5. No. of family members of the Tourists FAMILY_MEMBERS

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    12 Pranjal Kumar & Ashutosh Mishra 

    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    Table 3: Contd.,

    6. Occupation of the Tourists OCCUPATION

    7. Annual Income of the Tourists ANNUAL_INCOME

    8. Favourable season of the Tourists FAVOURABLE_SEASON

    9.

    Frequency of visit of the Tourists in the

    districts under study VISIT_FREQUENCY

    10.Stay period of the Tourists in the districts

    under studySTAY_PERIOD

    11.Mode of travel opted by the Tourists to visit

    the districts under studyMODE_OF_TRAVEL

    12.Source of awareness as an important touristsattractions of the districts under study

    ACQUAINT

    13.Lodging facilities availed by the tourists

    under districts under studyLODGING

    14.Types of tourism categorised amongst the

    districts under studyTOURISIM_CATEGORY

    FACTOR ANALYSIS

    Table 4: Communalities 

    Initial Extraction

    GENDER 1.000 .831

    RELIGION 1.000 .755

    SOCIAL_CLASS 1.000 .835

    AGE 1.000 .784

    FAMILY_MEMBERS 1.000 .774

    OCCUPATION 1.000 .684

    ANNUAL_INCOME 1.000 .792

    FAVOURABLE_SEASON 1.000 .629

    VISIT_FREQUENCY 1.000 .701

    STAY_PERIOD 1.000 .885

    MODE_OF_TRAVEL 1.000 .766

    ACQUAINT 1.000 .872

    LODGING 1.000 .546

    TOURISIM_CATEGORY 1.000 .859

    DISTRICT 1.000 .624

    Extraction Method: Principal Component Analysis.

    Factor analysis with Varimax with Kaiser Normalization applied found almost each factor to be important

    considering the Eigen values

    RELIABILITY

    Table 5: Case Processing Summary 

    N %

    Cases

    Valid 300 75.0

    Excludeda  100 25.0

    Total 400 100.0

    a. Listwise deletion based on all variables in the

    procedure.

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    Tourist Perception Towards Jharkhand; A District-Wise Study  13

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    Table 6: Reliability Statistics

    The reliability value is 0.916 which is more than 0.7 which is statistically good for further processing of the data.

    The descriptive statistics of the responses of variables under the study is tabulated below:

    Table 7: The Values of the Variables were Defined in SPSS Version 21 as Tabulated Below

    S. No. Variable Classification Assigned Value

    1. GENDERMale 1

    Female 2

    2. RELIGION

    Hindu 1

    Muslim 2

    Christian 3

    Buddhist 4

    Jains 5

    Others 6

    3. SOCIAL_CLASS

    General 1

    ST 2

    SC 3

    BC 4

    OBC 5

    4. AGE

    Less than 18 years 1

    18 – 25 2

    26 – 40 3

    41 – 60 4

    Above 60 years 5

    5. FAMILY_MEMBERS

    2 1

    3 – 4 2

    5 – 6 3

    7 and above 4

    6. OCCUPATION

    Govt. Service 1Employed in Private firms 2

    Business 3

    Self – employed 4

    Student 5

    Others 6

    7. ANNUAL_INCOME

    up to Rs.100000 1

    Rs. 10,0001 to 25,0000 2

    Rs. 25,0001 to 50,0000 3

    Rs. 50,0001 to 1,00,0000 4

    More than Rs.1000000 5

    8. FAVOURABLE_SEASON

    Winter 1

    Autumn 2Summer 3

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    14 Pranjal Kumar & Ashutosh Mishra 

    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    Rainy season 4

    9. VISIT_FREQUENCY

    First time 1

    Second time 2

    Third time 3

    Four time 4

    More than four time 5

    10. STAY_PERIOD

    1 – 2 days 1

    3 – 4 days 2

    5 – 7 days 3

    More than 7 days 4

    11. MODE_OF_TRAVEL

    By Air 1

    By Train 2

    By private taxi 3

    By own vehicle 4

    By luxury tourist buses 5

    Others 6

    12. ACQUAINT

    News paper 1

    Magazines 2Television / Films 3

    Traveler’s agent 4

    Holiday clubs 5

    Friends and relatives 6

    13. LODGING

    Budgeted Hotels 1

    Star rated Hotels 2

    Govt. guest house 3

    Resorts of Jharkhand

    tourism4

    Private Resorts 5

    Dharamshala 6

    14. TOURISIM_CATEGORY

    Tribal Tourism 1

    Mining Tourism 2

    Wild life Tourism 3

    Nature and Eco tourism 4

    Heritage Tourism 5

    Medical Tourism 6

    Cruise and Adventure

    Tourism7

    Religious Tourism 8

    Spiritual Tourism 9

    15. DISTRICT

    Deoghar 1

    Ranchi 2

    Jamshedpur 3

    Hazaribagh 4Dhanbad 5

    Palamu 6

    Table 8: Item Statistics 

    Mean Std. Deviation N

    GENDER 1.33 .471 300

    RELIGION 2.09 1.777 300

    SOCIAL_CLASS 2.67 1.362 300

    AGE 3.04 1.159 300

    FAMILY_MEMBERS 2.01 .914 300

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    Table 8: Contd.,

    OCCUPATION 2.75 1.497 300

    ANNUAL_INCOME 3.28 1.246 300

    FAVOURABLE_SEASON 2.51 1.111 300

    VISIT_FREQUENCY 2.47 1.355 300

    STAY_PERIOD 2.07 1.560 300

    MODE_OF_TRAVEL 3.06 1.532 300

    ACQUAINT 2.97 1.739 300

    LODGING 2.85 1.971 300

    TOURISIM_CATEGORY 1.33 .862 300

    DISTRICT 3.50 1.711 300

    Table 9: Inter-Item Correlation Matrix

    There is a negative correlation between districts and other parameters conceptually identified to analyse the

    impact of these parameters on types of tourism category and six districts under the study. This shows that the parameters

    are indifferent with the districts since each district under the study has got its demographic uniqueness for various types of

    tourism from the point of view of the respondents.

    ONEWAY ANOVA

    Table 10

    ANOVA 

    Sum of

    SquaresDf

    Mean

    SquareF Sig.

    GENDER

    Between Groups .430 5 .086 .384 .860

    Within Groups 65.900 294 .224

    Total 66.330 299

    RELIGION

    Between Groups 5.667 5 1.133 .355 .879

    Within Groups 938.080 294 3.191

    Total 943.747 299

    SOCIAL_CLASS

    Between Groups 1.707 5 .341 .181 .969

    Within Groups 552.960 294 1.881

    Total 554.667 299

    AGE

    Between Groups 3.960 5 .792 .586 .711

    Within Groups 397.560 294 1.352

    Total 401.520 299

    FAMILY_MEMBERS

    Between Groups 3.267 5 .653 .779 .566

    Within Groups 246.680 294 .839Total 249.947 299

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    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    Table 10: Contd.,

    OCCUPATION

    Between Groups 2.270 5 .454 .200 .962

    Within Groups 667.980 294 2.272

    Total 670.250 299

    ANNUAL_INCOME

    Between Groups 6.737 5 1.347 .866 .504

    Within Groups 457.300 294 1.555

    Total 464.037 299

    FAVOURABLE_SEASON

    Between Groups 15.027 5 3.005 2.496 .031

    Within Groups 353.960 294 1.204

    Total 368.987 299

    VISIT_FREQUENCY

    Between Groups 57.230 5 11.446 6.847 .000

    Within Groups 491.500 294 1.672

    Total 548.730 299

    STAY_PERIOD

    Between Groups 343.470 5 68.694 52.586 .000

    Within Groups 384.060 294 1.306

    Total 727.530 299

    MODE_OF_TRAVEL

    Between Groups 17.177 5 3.435 1.475 .198

    Within Groups 684.620 294 2.329

    Total 701.797 299

    ACQUAINT

    Between Groups 7.267 5 1.453 .477 .794

    Within Groups 896.520 294 3.049

    Total 903.787 299

    LODGING

    Between Groups 200.187 5 40.037 12.244 .000

    Within Groups 961.360 294 3.270

    Total 1161.547 299

    TOURISIM_CATEGORY

    Between Groups 32.670 5 6.534 10.129 .000

    Within Groups 189.660 294 .645Total 222.330 299

    Interpretation of One-way Anova Table

    •  The table value of Gender = 0.860 which is more than 0.05. This shows that Gender does not have any

    significance impact over choice of districts of Jharkhand tourism under the study.

    •  The table value of Religion = 0.879 which is more than 0.05. This shows that Religion does not have any

    significance impact over choice of districts of Jharkhand tourism under the study.

    •  The table value of Social class = 0.969 which is more than 0.05. This shows that Social classdoes not have any

    significance impact over choice of districts of Jharkhand tourism under the study. Social class does not influence

    the tourism spirit of tourist visiting the districts of Jharkhand.

    •  The table value of Age = 0.711 which is more than 0.05. This shows that Age does not have any significance

    impact over choice of districts of Jharkhand tourism under the study. The age of the tourist does not have any

    influence of the choice of districts however the age may have association with the category of tourism in

    Jharkhand state.

    •  The table value of Family members = 0.566 which is more than 0.05. This shows that Family members do not

    have any significance impact over choice of districts of Jharkhand tourism under the study. The visitors are

    visiting the districts irrespective of the number of members in the family once they have selected any districts

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    under the study.

    •  The table value of Occupation = 0.962 which is more than 0.05. This shows that Occupationdoes not have any

    significance impact over choice of districts of Jharkhand tourism under the study.

    •  The table value of Annual income = 0.504 which is more than 0.05. This shows that Annual income does not have

    any significance impact over choice of districts of Jharkhand for tourism under the study. However the

    expenditure in tour of different districts may vary but the choice of districts does not have association with annual

    income of the tourists.

    •  The table value of Mode of travel = 0.198 which is more than 0.05. This shows that Mode of travel does not have

    any significance impact over choice of districts of Jharkhand tourism under the study. The connectivity of mode

    of travel is limited amongst the districts under the study therefore the choice of mode of travel is restricted.

    •  The table value of Acquaint (information about the districts)= 0.784which is more than 0.05. This shows that

    knowledge about the districts under the study through different sources does not have any significance impact

    over choice of districts of Jharkhand for tourism under the study. This further shows that the districts under the

    study have gained much popularity since the formation of the Jharkhand state in 2000.

    •  The table value of Favourable season = 0.031 which is less than 0.05. This shows that season have significance

    impact over choice of districts of Jharkhand for tourism under the study. The reason being the demographic

    uniqueness of the districts which may be suitable and meaningful for the visit in a particular season.

    •  The table value of Visit frequency = 0.000 which is less than 0.05. This shows that no. of visits to a particular

    districts under the study have significance impact over choice of districts of Jharkhand tourism under the study.The visitors may not prefer to visit the same districts again.

    •  The table value of Stay period = 0.000 which is less than 0.05. This shows that Stay period in a particular districts

    under the study have significance impact over choice of districts of Jharkhand tourism under the study. The

    districts may not be lucrative enough to extend the period of stay.

    •  The table value of Lodging = 0.000 which is less than 0.05. This shows that lodging facility in a particular

    districts under the study have significance impact over choice of districts of Jharkhand tourism under the study.

    This is due to limited number of lodging facility in the districts.

    •  The table value of Tourism category = 0.000 which is less than 0.05. This shows that tourism category in a

    particular districts under the study have significance impact over choice of districts of Jharkhand tourism under

    the study. Deoghar is known for religious tourism, Ranchi and Jamshedpur is preferred nature and Eco tourism.

    Dhanbad is more preferred for mining tourism. Hazaribagh is preferred for Wild life tourism and Palamu is

    preferred for Heritage tourism.

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    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    CROSS TAB CHI-SQUARE TEST

    DISTRICT GENDER

    Chi-Square Tests Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 1.945a  5 .857

    Likelihood Ratio 1.930 5 .859

    Linear-by-Linear Association .805 1 .370

    N of Valid Cases 300

    a. 0 cells (.0%) have expected count less than 5. The minimum expected

    count is 16.50.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows

     that Gender is independent of choice of districts of Jharkhand under the study.

    DISTRICT

    RELIGION

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 8.829a  30 1.000

    Likelihood Ratio 9.348 30 1.000

    Linear-by-Linear Association .905 1 .341

    N of Valid Cases 300

    a. 24 cells (57.1%) have expected count less than 5. The minimum

    expected count is 1.00.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows that Religion is independent of choice of districts of Jharkhand under the study.

    DISTRICT

    SOCIAL_CLASS

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 5.092a  20 1.000

    Likelihood Ratio 5.064 20 1.000

    Linear-by-Linear Association .010 1 .921

    N of Valid Cases 300

    a. 0 cells (.0%) have expected count less than 5. The minimum expected

    count is 6.83.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows

     that Social class is independent of choice of districts of Jharkhand under the study.

    DISTRICT

    AGE

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 10.874a  20 .949

    Likelihood Ratio 11.061 20 .945

    Linear-by-Linear Association .069 1 .793

    N of Valid Cases 300

    a. 0 cells (.0%) have expected count less than 5. The minimum expectedcount is 5.00.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows

     that Age is independent of choice of districts of Jharkhand under the study.

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    DISTRICTFAMILY_MEMBERS

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 4.552a  15 .995

    Likelihood Ratio 4.434 15 .996

    Linear-by-Linear Association .854 1 .355

    N of Valid Cases 300

    a. 6 cells (25.0%) have expected count less than 5. The minimum expected

    count is 3.83.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows

     that Family members is independent of choice of districts of Jharkhandunder the study.

    DISTRICT

    OCCUPATION

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 4.583a  25 1.000

    Likelihood Ratio 4.646 25 1.000

    Linear-by-Linear Association .010 1 .919N of Valid Cases 300

    a. 6 cells (16.7%) have expected count less than 5. The minimum expectedcount is 2.00.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows

     that Occupation is independent of choice of districts of Jharkhand under the study.

    DISTRICT

    ANNUAL_INCOME

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 7.624a  20 .994

    Likelihood Ratio 7.565 20 .994

    Linear-by-Linear Association .015 1 .903

    N of Valid Cases 300

    a. 0 cells (.0%) have expected count less than 5. The minimum expected

    count is 6.00.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows

     that Annual income is independent of choice of districts of Jharkhandunder the study.

    DISTRICT

    FAVOURABLE_SE

    ASON

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 40.388a  15 .000

    Likelihood Ratio 37.101 15 .001

    Linear-by-Linear Association 4.935 1 .026

    N of Valid Cases 300a. 0 cells (.0%) have expected count less than 5. The minimum expected

    count is 12.17.

    Since the Pearson Chi-Square value is less than 0.05 at 5 df. This shows

     that Favourable season is dependent on choice of districts of Jharkhandunder the study.

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    20 Pranjal Kumar & Ashutosh Mishra 

    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    DISTRICT

    VISIT_FREQUENC

    Y

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 56.015a  20 .000

    Likelihood Ratio 51.773 20 .000

    Linear-by-Linear Association 23.801 1 .000

    N of Valid Cases 300

    a. 0 cells (.0%) have expected count less than 5. The minimum expected

    count is 5.67.

    Since the Pearson Chi-Square value is less than 0.05 at 5 df. This shows

     that Visit frequencyis dependent on choice of districts of Jharkhand under the study.

    DISTRICT

    STAY_PERIOD

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 161.538a  20 .000

    Likelihood Ratio 205.209 20 .000

    Linear-by-Linear Association 12.099 1 .001N of Valid Cases 300

    a. 12 cells (40.0%) have expected count less than 5. The minimum expectedcount is 1.50.

    Since the Pearson Chi-Square value is less than 0.05 at 5 df. This shows

     that Visit Stay Period is dependent on choice of districts of Jharkhandunder the study.

    DISTRICT

    MODE_OF_TRAVE

    L

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 103.430a  25 .000

    Likelihood Ratio 85.940 25 .000

    Linear-by-Linear Association 1.724 1 .189

    N of Valid Cases 300

    a. 6 cells (16.7%) have expected count less than 5. The minimum expected

    count is 2.83.

    Since the Pearson Chi-Square value is less than 0.05 at 5 df. This shows

     that Mode of travel is dependent on choice of districts of Jharkhand under the study. 

    DISTRICT

    ACQUAINT

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 7.160a  25 1.000

    Likelihood Ratio 7.217 25 1.000

    Linear-by-Linear Association 1.062 1 .303

    N of Valid Cases 300a. 6 cells (16.7%) have expected count less than 5. The minimum expected

    count is 4.33.

    Since the Pearson Chi-Square value is more than 0.05 at 5 df. This shows

     that information about Jharkhand districts is independent of choice of districts of Jharkhand under the study. 

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    Tourist Perception Towards Jharkhand; A District-Wise Study  21

    www.tjprc.org  [email protected] 

    DISTRICTLODGING

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 78.270a  25 .000

    Likelihood Ratio 92.712 25 .000

    Linear-by-Linear Association 11.302 1 .001

    N of Valid Cases 300

    a. 12 cells (33.3%) have expected count less than 5. The minimum

    expected count is 3.83.

    Since the Pearson Chi-Square value is less than 0.05 at 5 df. This shows

     that Lodging facility is dependent on choice of districts of Jharkhandunder the study. 

    DISTRICT

    TOURISIM_CATEGORY

    Chi-Square Tests 

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 52.941a  20 .000

    Likelihood Ratio 70.366 20 .000

    Linear-by-Linear Association 3.766 1 .052N of Valid Cases 300

    a. 24 cells (80.0%) have expected count less than 5. The minimumexpected count is .50.

    Since the Pearson Chi-Square value is less than 0.05 at 5 df. This shows

     that Tourism categortyis dependent on choice of districts of Jharkhandunder the study. 

    BAR CHARTS OF THE RESPONSES OF DIFFERENT VARIABLES

    Gender Religion

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    22 Pranjal Kumar & Ashutosh Mishra 

    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    Social_Class Age

    Family_Members Occupation

    Annual_Income Favourable_Season

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    Tourist Perception Towards Jharkhand; A District-Wise Study  23

    www.tjprc.org  [email protected] 

    Visit_Frequency Stay_Period

    Mode_of_Travel Acquant

    Lodging Tourism_Category

    Figure 1

    CONCLUSIONS

    From the above study it is apparent that Jharkhand has developed a considerable image as a tourism destination. It

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    24 Pranjal Kumar & Ashutosh Mishra 

    Impact Factor (JCC): 5.7836 NAAS Rating: 3.13 

    offers all the popular types of tourism however few categories of tourism need more awareness and marketing. The study

    analyses that Jharkhand tourism is a portfolio of tourism delight by its composition of 24 districts having demographic

    uniqueness. The visit to the state is more preferred in winter season, festival seasons and season favourable for religious

    tourism. The frequency of visit and stay period of tourists is dependent upon the attraction of various tourists’ spot of thedistricts under the study. Therefore there is strong need of increasing the facilities, safety and security and other important

    infrastructure conducive for tourists in order to increase the visit frequency and stay period of both domestic as well as

    foreign tourists. The implementation of the draft proposed tourism policy in the year 2014 is on the cross road due to

    political turmoil and need serious efforts to promulgate Jharkhand tourism.

    REFERENCES

    1. 

    Record Increase in foreign Tourist Arrivals in India’, Hindustan Times,

    http://www.hindustantimes.com/StoryPage/StoryPage.aspx?id=be1505b5-5664-493b-951a-2883c130e98a, April,

    18, 2007.

    2.  http://indiatoday.india.indiatoday.in/articlePrint.jsp?aid=56806

    3. 

    Gupta, Anil and Ghosh, Anil, ‘Tourism Marketing in India: Inviting the Domestic Traveler’ Advertising Express,

    ICFAIJournal, April 2004

    4.  Kothari C. R., Research Methodology, WishwaPrakashan, New Delhi, 1997.

    5. 

    Oppermann, M. (1992). International Tourism Flows in Malaysia. Annals of Tourism Research, 19(3), 482 -500.

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    Pearce, D. G. (1979). Towards a Geography of Tourism. Annals of Tourism Research, 6(3), pp245 -272. Pearce,

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    J. J. (1985). Outdoor Recreation and Resource Management (2nd ed.). London: Croom Helm.

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    Sood, Suresh, ‘The Blogging of Travel and Tourism: Next Generation Travel Marketing and Advertising’

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