Socio-Economic and Ecological Impact Assessment: A Study of Tourism in Sikkim
Manjushree Mishra1 and Ajeya Jha2
1Assistant Professor, Department of Management Studies and Research Scholar of Sikkim Manipal Institute of Technology, Majitar, East Sikkim, Sikkim - 737106, India.
2Professor, Department of Management Studies, Sikkim Manipal Institute of Technology, Majitar, East Sikkim, Sikkim - 737106, India.
ABSTRACT:
This study focuses on three principal effects of tourism, namely, Economic, Social and Environmental. This study finds that although there are some negative aspects, most economic consequences of tourism is beneficial. These benefits include generation of income, employment, foreign exchange, government revenue, infrastructure building and so on. The economic impacts of tourism are usually considered to be beneficial for countries and localities. The real controversies lie in tourism’s impact on environmental and socio-cultural aspects. This paper tries to analyze that if managed properly, tourism’s overall positive effects are able to offset the few negatives in all three respects. The study has taken the state of Sikkim as the sample.
KEYWORDS: Sikkim, India, Mountainous, Tourism related activities, Socio-economic, Environmental
INTRODUCTION:
Physical Structure of Sikkim Himalayas
Sikkim is a tiny state with an area of 7096 km2 and a population of 6, 07,000, with an average density of 86 persons per km2 in 2011. Physically, it is an enclosed basin, nearly 60 km wide, between two deeply dissected north-south transverse ridges, each of them about 128 km long (Karan, 1969). The western ridge, Singalila, marks the boundary with Nepal and includes the peak of Kanchenjunga (8578 m or 28,168 feet), and to the east the crest of the Donkhya Range forms the boundary with Tibet (China). To the north, the central basin is cut off from Tibet by the broad convex arc of the Great Himalayan Range, in which the River Teesta rises. To the south, it is blocked by the resistant gneissic Darjeeling Ridge through which the Teesta has carved a deep narrow gorge to the west of Kalimpong. This extensive bowl-like, mountain girdled basin has been formed by the erosive work of the Teesta and its tributaries. Due to the steady rise of the land from drainage channels, gentle slopes and deep soil are rare (Karan, 1989).
The state is situated in the most magnificent range of snow-clad mountains. It is rich in biodiversity and has a watershed comprising of several river/stream network.
Sikkim is rich in cultural diversity with distinctive ethnic groups such as Lepchas, Bhutias, Nepalese and Limbus. The Lepchas were the original settlers and are located in Dzongu around Kanchenjunga in the north district. Later arrivals include the Bhutias from Tibet who, subsequently, became the Chogyal rulers of the state and the Limbus are from Nepal.
The recent immigrants include Nepali ethnic groups and Tibetan refugees. (Rai and Sundrial, 1997).
Tourism in Sikkim
Tourism in Sikkim is principally based on the utilization of natural resources. Presence of scenic beauty, congenial climate, varieties of flora and fauna, and a hospitable host population are the basic prerequisites for a place to become a tourist destination. Sikkim is blessed with exquisite natural beauty, salubrious climate, rich biodiversity and a friendly host population. In addition to this the state’s unique cultural traits adds to its attraction (Sattar, 2011).
The state’s sustained tourist appeal depends on the preservation of its natural environment. This calls for a form of tourism which wisely uses and conserves resources in order to maintain their long-term viability. This can be made possible by striking a balance between the need for socio-economic development of local people and the need for conservation of the rich bio-diversity through the practice of alternative forms of tourism like eco-tourism, village-tourism, adventure tourism and agro-tourism (Sattar, 2011).
Traditional mass-market tourism mainly aims for profit maximization. However, it has been realized that such practice is environmentally unsuitable, creating undesirable impacts for Sikkim which may destroy the very resource base in the long run. Therefore, presently all efforts are on environment friendly segments such as ‘ecotourism’ and ‘rural tourism’. The strategies for expansion of tourism is based on the sustainable development paradigm so that this sector becomes a major source of employment, income and revenue as well as create economic incentives for conserving the resource base on which it thrives. The aim is for a tourism development that has to be sustainable – environmentally, economically and socially.
The Diversity of Mountain Areas in Sikkim
Mountains are highly diverse in Sikkim. Climatic zones are condensed over distances of a few kilometers. On a single mountain, one can experience a tropical climate at the base, a Temperate Zone at medium altitudes followed by alpine conditions higher up, and finally an arctic environment with snow and glaciers on the highest peaks. Biodiversity is also impressive. Such diversity creates interest amongst tourists with multiple aspirations.
The Specificity of Mountains for Global Tourism Development
The promotion of tourism in mountains is based on special features that are attractive for tourism. Among these are the clean cool air, the varied topography, the scenic beauty, and cultural landscapes. There are inherent challenges which attract some daring tourists, and particular mountain arenas for special sports and leisure activities (University of Berne, Switzerland, 1999)
Brief Literature Survey
Economic Impact Analysis
An economic impact analysis traces the flows of spending associated with tourism activity in a region to identify changes in sales, tax revenues, income and jobs due to tourism activity. The methods used to gather this information include: visitor spending surveys; analyses of secondary data from government economic statistics; economic base models; input-output models; and multipliers (Frechtling, 1994).
Fiscal Impact Analysis
Government revenues from tourism activity, in the form of taxes, direct fees, and other sources, are required to cover the additional costs for infrastructure and government services. Fiscal impact analysis identifies changes in demand for government utilities and services that have occurred as a result of some tourism-related action, and estimates the revenues and costs to local government of providing these services (Burchell and Listokin, 1978).
Multiplier Effect of Tourism
Multiplier effect means how many times money spent by a tourist circulates through a country’s economy. Money spent in a hotel helps to create jobs directly in a hotel, but it also creates jobs indirectly elsewhere in the economy. The hotel, for example, has to buy food from the local farmers, who may spend some of their money on fertilizers and clothes. The demand for local products increases as tourists often buy souvenirs, which increases secondary employment. Cultural shows arranged for their entertainment also create incomes for the local people. Greater tax revenues permit greater government spending which further helps in income generation.
Environmental Effects
The environmental resources, based on which development of tourism takes place sometimes are destroyed and degraded due to unregulated tourism activity. Such negative impacts from tourism occur when the level of visitor use exceeds the environment’s capacity to cope with use within the acceptable limits of change. But tourism has often been used as a catalyst to regenerate and improve the quality of environment. This can be obtained through comprehensive sustainable tourism which is holistic in approach, simultaneously taking into account environmental, socio-cultural and economic impacts (Sattar, 2010).
Socio-cultural Effects
Socio-cultural intrusion by tourists might be good when we learn things like freeing women, ending the class system, etc. But it is often cited as a negative impact. Sometimes sexual exploitation affects the poor women, girls and young men (Ashley et al, 2000). Local people can become more materialistic and imperialistic. The growth of tourism beyond a stage often sparks conflicts between the hosts and tourists (Joshi and Dhyani, 2009). Although difficult to measure, there is a relationship between tourism density and the growth of local resentment towards tourism. This happens when overcrowding reduces the value of the holiday experience and creates additional strain for resident population. To mitigate this, the tourists may be dispersed through eco-tourism, village tourism and adventure tourism.
The state is a biodiversity hotspot and is inhabited by a mix of ethnic cultural groups with a great diversity of cultural traditions and practices. The rich biodiversity, the picturesque settings, pristine lakes, forests and waterfalls, wilderness of trekking trails, Buddhist monasteries and religious artefacts and cultural festivals of Bhutia and Lepcha tribes constitute the important elements of tourism in the state. Sikkim thus provides a varied experience ranging from urban mass tourism, to village tourism, religious and cultural tourism, and adventure tourism (Joshi and Dhiyani, 2009).
Tourism trends in Sikkim
Until the year 1990, there was very little tourism activity mainly because of the stringent ‘Inner Line Permit System’, which restricted the movement of the tourists in the state. However, with the sustained effort of the state government and timely realization of the Central Government, Inner Line Permit was relaxed in the year 1990 which led to unprecedented flow of tourists from the successive years.
Table 1: Actual and Projected Volume of Tourists in Sikkim
Years |
No. of Domestic Tourists |
No. of Foreign Tourists |
Total |
Actual |
|
|
|
1990 |
56,706 |
4,719 |
61,425 |
2000 |
1,44,203 |
8,794 |
1,52,997 |
2010 |
3,51,579 |
12,649 |
3,60,047 |
Projected |
|
|
|
2020 |
8,42,467 |
18,926 |
8,35,587 |
2025 |
13,04,121 |
23,151 |
12,72,940 |
Source: Department of Tourism, Gangtok.
The figure shows that presently tourism in Sikkim is mainly of the domestic kind; foreign tourists comprise only 5.5% of the annual tourist influx. Majority of the tourists to Sikkim are from neighboring state of West Bengal, Uttar Pradesh, Assam and Gujarat. A small section is also from Orissa, Karnataka, Andhra Pradesh, Kerala, Jharkhand, Delhi and Rajasthan. As far as origins of foreign tourists are concerned, the majority are from western European countries, U.S.A and Japan. Majority of domestic tourists visit the state for the purpose of sightseeing. In comparison, most of the foreign tourists come here for taking part in various trekking activities and other programs under adventure tourism (Sattar, 2001).
Tourists flow to Sikkim follows a seasonal pattern, which is probably controlled by weather conditions and vacation pattern. Tourist arrival in the state has been found to be generally highest during the months of September to November or between March and late May. However, the number of tourists during the lean season of December to February has considerably increased over the last few years. This has created more demand for goods and services leading to increase of employment opportunities and income generation. With increasing per capita income and more disposable income, improved infrastructural facilities, better mobility, increasing desire amongst the urban people to explore and experience new areas the tourism in Sikkim is destined to grow further in future (Joshi and Dhiyani, 2009).
Furthermore, stagnation in the share of agriculture in the state income will compel the people to look for jobs in industry or service sector. Given the predominance of the Government sector in the job market and its waning capacity to absorb more people would worsen the problem of unemployment in the state (Chamling, 2002). It has been realized by the state that the service sector holds much potential in the field of employment generation and the tourism sector can absorb a lot of people if the modern youth is properly skilled and equipped.
Sustainable Tourism Development
The concept of ‘sustainable development’ may be interpreted to mean a certain pace of development which can be sustained even in the very long run. Since development is a process, sustainable development is also a process in which the economic and social welfare of the people can be maximized with the minimum damage to ecology and environment (Mitra, 1998). With the process of development, there is a quantum leap from the subsistence economy to the monetized market economy which have resulted in a lack of sustainability in the use of forest resources. As a result, the need of the hour is to look for an alternative approach for forest use and evaluate their sustainability from an economic, social and environmental point of view.
METHODOLOGY:
a. Nature of research:
b. The present research is exploratory and empirical in nature with descriptive statistics based on the data on the belief expressed by experts having understanding of the growth of Tourism in Sikkim and its socio-economic and environmental effect.
c. Research design:
The research-design for the research work is conclusive. To arrive at conclusions descriptive approach has been used.
d. Objectives of the study:
i. To measure the perceived economic impact of Tourism related activities in the state of Sikkim
ii. To quantify the perceived impact Tourism related activities is making on the society in state of Sikkim
iii. To determine the perceived environmental impact of Tourism related activities in state of Sikkim
e. Hypotheses:
Keeping the above objectives in view the following hypothetic framework was proposed:
H01: Tourism related activities are not making any impact on the economy of state of Sikkim.
H02: Tourism related activities are not making any impact on the society of state of Sikkim.
H03: Tourism related activities are not making any impact on the environment of state of Sikkim.
f. Sample:
The sample respondents of this research consist of people expected to have deep understanding of the recent development of Tourism related activities in Sikkim and its socio-economic and environmental effect. The criteria to select such expert are education, profession and experience. Those selected include people having post-graduation/professional degree, are observers of/involved in establishment/functioning of Tourism related activities in the state of Sikkim and have a minimum of 5 years of working experience. Details of experts selected have been given in the Table-2.
Table 2: Number of Experts from whom data has been collected
|
Profession |
||
Experience |
Tourism Industry |
Teaching (Management, Economics) |
Government Policy makers |
5-10 Yrs |
4 |
4 |
3 |
10-15 years |
6 |
6 |
5 |
Over 15 Years |
5 |
4 |
5 |
g. Sample size:
In all a sample size of 40 respondents was arrived at. This sample was considered statistically relevant for the study.
h. Sampling method:
Random and judgmental sampling methods were used for the research. Industries and Colleges were chosen on judgmental basis but individuals were chosen randomly.
i. Tools:
The tool is developed using Likert scale in a range of 1 to 5 with 1, 2, 3, 4 and 5 corresponding to Strongly Disagree, Disagree, Neither agree Nor Disagree, Agree and Strongly Agree respectively. The tool to measure Economic impact, social impact and environmental impact contains 24, 16 and 14 statements respectively. 54 responses from each of 40 respondents equals a total of 2160 responses for analysis in the survey. The statements were evolved based on an exploratory study to identify the economic, social and environmental issues that may be affected by the emergence of Tourism related activities. For the exploratory study not only experts but common people were also consulted. This was done to identify real as well as non-real issues. The experts were contacted personally by the researcher and after general introduction the tool was handed over to them. The confidentiality of the information obtained from the respondents was promised. The filled questionnaires were collected the same day and on a few occasions after few days.
j. Reliability Analysis:
Data analysis:
All analyses were conducted using Statistical Software (SPSS) 16.0 version. t - test were used to determine the significance of beliefs. For the hypothesis testing the confidence limit is set at 95%. At 95% the Z value is considered significant if it is beyond ± 1.96.
H0: (1.96 >Z< - 1.96)
Or
If Z is within ± 1.96 null hypothesis is accepted else rejected
RESULT AND DISCUSSION:
The result, analysis and interpretation has been discussed in Table 3, 4 and 5.
Table 3: Results on Economic Impacts
S.N. |
Statement |
Mean |
S.D. |
T-value |
Sign. |
Salient Findings |
EC1 |
Planning of tourism industries in Sikkim is in conformance with the strategic economic vision |
4 |
0.906 |
6.982 |
0 |
Mean response is 4. S.D. is 0.906. Thus there is a strong belief that tourism in Sikkim has been planned through a meticulous strategic economic vision. At 95% confidence limit the t-value is 6.982 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC2 |
Current implementation of tourism industries in the state is fulfilling the strategic planning |
3.63 |
0.897 |
4.407 |
0 |
Mean response is 3.63. S.D. is 0.897. Thus there is a strong belief that tourism in Sikkim has been implemented through a meticulous strategic planning. At 95% confidence limit the t-value is 4.407 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC3 |
Demand for tourism will continue to grow and hence provide consistent economic returns in future on a long term basis |
4.6 |
0.672 |
15.064 |
0 |
Mean response is 4.6. S.D. is 0.672. Thus there is a strong belief that tourism in Sikkim has been implemented through a meticulous strategic planning. At 95% confidence limit the t-value is 15.064 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC4 |
Geographic location, mountainous terrain, scenic beauty, climatic conditions, local hospitality and culture of Sikkim supports tourism for economic gains better than any other types of industries |
4.68 |
0.656 |
16.153 |
0 |
Mean response is 4.86. S.D. is 0.656. Thus there is a strong belief that the natural beauty, location and culture of Sikkim strongly support tourism. At 95% confidence limit the t-value is 16.153 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC5 |
The government policies will continue to provide current subsidies and support to attract tourists |
3.88 |
0.883 |
6.271 |
0 |
Mean response is 3.88. S.D. is 0.883. Thus there is a strong belief that the Government of Sikkim provides full support to promote tourism related activities in the state. At 95% confidence limit the t-value is 6.271 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC6 |
Tourism has become economically more viable due to development of power and other industrial sectors in Sikkim |
3.6 |
1.105 |
3.435 |
0.001 |
Mean response is 3.6. S.D. is 1.105. At 95% confidence limit the t-value is 3.435 which show that the belief is significant which is further confirmed by the significance value which is 0.001 well below 0.05. The null hypothesis therefore is rejected. |
EC7 |
Government policy for capacity building through opening of many institutions of higher education in the state has indirectly helped considerable growth of tourism |
4.03 |
0.92 |
7.05 |
0 |
Mean response is 4.03. S.D. is 0.92. Thus there is a strong belief that various Government Policies have helped directly and indirectly for growth of tourism in the state. At 95% confidence limit the t-value is 7.05 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC8 |
Tourism sector will continue to create substantial employment for next 25-30 years |
4.3 |
0.853 |
9.635 |
0 |
Mean response is 4.3. S.D. is 0.853. Thus it is quite evident that tourism sector will create enough employment opportunities in the state. At 95% confidence limit the t-value is 9.635 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC9 |
Employment growth in tourism industries will be high for next 5 years and stagnate thereafter |
3.08 |
1.141 |
0.416 |
0.68 |
Mean response is 3.08. S.D. is 1.141. Thus it is quite evident that employment generation will be high in future. At 95% confidence limit the t-value is 0.416 which shows that the belief is significant which is further confirmed by the significance value which is 0.68 well above 0.05. It shows that it may not stagnate after 5 years or it may still be higher. |
EC10 |
Tourism industry has brought benefits to marginalized section of the society in Sikkim |
3.6 |
0.982 |
3.865 |
0 |
Mean response is 3.6. S.D. is 0.982. Thus it is quite evident that tourism sector has benefited the semiskilled and unskilled people and has contributed to their economic well-being. At 95% confidence limit the t-value is 3.865 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC11 |
More urban youth find jobs in tourism industry than the rural ones |
3.78 |
1.074 |
4.564 |
0 |
Mean response is 3.78. S.D. is 1.074. Thus it is quite evident that tourism sector has benefited the youth of Sikkim in urban areas more than rural areas. At 95% confidence limit the t-value is 4.564 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC12 |
Many local youth will be suitably trained to take up jobs in tourism industries |
3.85 |
0.893 |
6.02 |
0 |
Mean response is 3.85. S.D. is 0.893. Thus it is quite evident that tourism sector has benefited the youth of Sikkim in urban areas more than rural areas. At 95% confidence limit the t-value is 6.02 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC13 |
In a few years the tourism sector is expected to stagnate or decline thereby reducing economic returns in future |
2.58 |
1.107 |
-2.429 |
0.2 |
Mean response is 2.58. S.D. is 1.107. Thus it is quite evident that tourism sector may or may not stagnate. At 95% confidence limit the t-value is -2.429 which shows that the belief is significant which is further confirmed by the significance value which is 0.2 well above 0.05. The economic returns may not stagnate in future. |
EC14 |
If current subsidies and tax benefits provided to tourism industries are withdrawn these industries will become unviable |
3.48 |
1.062 |
2.829 |
0.007 |
Mean response is 3.48. S.D. is 1.062. Thus it is quite evident that tourism sector is surviving because of government support in terms of subsidies and tax benefits. At 95% confidence limit the t-value is 2.829 which show that the belief is significant which is further confirmed by the significance value which is 0.007 well below 0.05. The null hypothesis therefore is rejected. |
EC15 |
Number of livelihoods indirectly created by tourism industry is higher than other major sectors like hydel, tea and pharmaceutical |
3.78 |
0.891 |
5.5 |
0 |
Mean response is 3.78 on a scale of 5. S.D. is 0.891. Thus it is quite evident that tourism sector has created more employment opportunities than any other sector in Sikkim. At 95% confidence limit the t-value is 5.5 which show that the belief is significant which is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC16 |
Tourism industries give higher return on investment as compared to hydel, tea and pharmaceutical |
3.63 |
1.102 |
3.586 |
0.001 |
Mean response is 3.63. S.D. is 1.102. Thus it is quite evident that tourism sector gives more returns compared to other sectors in Sikkim. At 95% confidence limit the t-value is 3.586 which show that the belief is significant which is further confirmed by the significance value which is 0.001 well below 0.05. The null hypothesis therefore is rejected. |
EC17 |
Tourism industries will trigger number of ancillary economic activities such as travel agencies, transportation, housing, hospitality, trading and related infrastructure development |
4.43 |
0.594 |
15.165 |
0 |
Mean response is 4.43. S.D. is 0.594. Thus it is quite evident that tourism sector has created more employment opportunities than any other sector in Sikkim. At 95% confidence limit the t-value is 15.165 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC18 |
Number of international tourists is increasing and continue to do so in future |
4.05 |
1.061 |
6.259 |
0 |
Mean response is 4.05. S.D. is 1.061. Thus it is quite evident that tourism sector has improved and we have been able to attract a number of international tourists and this number will definitely increase in future. At 95% confidence limit the t-value is 6.259 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC19 |
In a few years the arrival of tourists is expected to decline |
2.53 |
0.96 |
-3.128 |
0.003 |
Mean response is 2.3. S.D. is 0.96. Thus it is quite evident that tourism sector will exhaust after a few years. At 95% confidence limit the t-value is -3.128 which shows that the belief is absolutely significant this is further confirmed by the significance value which is 0.003 well below 0.05. The null hypothesis therefore is rejected. |
EC20 |
Tourism is essentially a Gangtok centered activity in Sikkim thus localizing the economy to places around this place |
3.1 |
1.317 |
0.48 |
0.634 |
Mean response is 3.1. Corresponding s.d. is 1.317. Thus it is quite evident that tourism is concentrated around Gangtok. At 95% confidence limit the t-value is 0.48 which shows that the belief is not absolutely significant this is further confirmed by the significance value which is 0.634 well above 0.05. It shows that tourism exists in other parts of Sikkim as well. |
EC21 |
Tourism especially village, eco, religious and adventure types will help in development of far flung areas of Sikkim in the long run |
4.43 |
0.675 |
13.35 |
0 |
Mean response is 4.43. S.D. is 0.675. Thus it is quite evident that tourism sector will help in removing regional disparities in Sikkim. At 95% confidence limit the t-value is 13.35 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis therefore is rejected. |
EC22 |
Tourism has been a major catalyst for entrepreneurship activities and hence economic empowerment of local people |
4.15 |
0.802 |
9.066 |
0 |
Mean response is 4.15. S.D. is 0.8. Thus it is quite evident that tourism contributes a lot for economic benefit of a place. At 95% confidence limit the t-value is 9.066 which shows that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
EC23 |
Infrastructure development in Sikkim to facilitate tourism is more expensive than the revenue earned through tourism |
3.63 |
1.079 |
3.665 |
0.001 |
Mean response is 3.63. S.D. is 1.079. Thus it is quite evident that promotion of tourism is expensive when we build proper infrastructure for it to reap long-term benefits. At 95% confidence limit the t-value is 3.665 which shows that the belief is absolutely significant this is further confirmed by the significance value which is 0.022 well below 0.05. The null hypothesis is therefore rejected. |
EC24 |
Competition from other hill states of Himalayas will adversely affect tourism in Sikkim in the long run |
3.4 |
1.13 |
2.379 |
0.022 |
Mean response is 3.4. S.D. is 1.13. Thus it is quite evident that Sikkim tourism faces stiff competition with tourism from other states of the Himalayas. Thus the quality provided has to be well up to the standard to face the competition. At 95% confidence limit the t-value is 2.379 which show that the belief is absolutely significant. This is further confirmed by the significance value which is 0.022 well below 0.05. The null hypothesis is therefore rejected. |
Table 4: Results on Social Impacts
SO1 |
Range of public services available to local communities due to tourism industry will go up initially and stagnate subsequently |
3.1 |
0.982 |
0.644 |
0.523 |
Mean response is 3.1. S.D. is 0.982. Thus it is quite evident that tourism will lead to rise in public services available to the public. At 95% confidence limit the t-value is 0.644 which shows that belief is significant and this is further confirmed by the significance value which is 0.523 well above 0.05. Therefore, the range of public services may not stagnate in future. |
SO2 |
Local amenities available to local communities may reduce while meeting the requirement of tourist operations |
2.9 |
1.105 |
-0.572 |
0.57 |
Mean response is 2.9. S.D. is 1.105. Thus it is quite evident that tourism will provide facilities to tourists at the cost of facilities available to local communities. At 95% confidence limit the t-value is -0.572 which shows that this is absolutely significant and this is further confirmed by the significance value which is 0.57 well above 0.05. The local amenities may not reduce. |
SO3 |
Local youth will learn professional skills to take advantage of employment opportunities in tourism sector |
4.38 |
0.628 |
13.85 |
0 |
Mean response is 4.38. S.D. is 0.628. Thus it is quite evident that promotion of tourism will promote professional skills in local people. At 95% confidence limit the t-value is 13.85 which shows that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO4 |
Tourism industry will enhance the competency and confidence level of local youth |
4.43 |
0.594 |
15.165 |
0 |
Mean response is 4.43. S.D. is 0.594. Thus it is quite evident that promotion of tourism will promote professional skills in local people which will enhance their competency and confidence level. At 95% confidence limit the t-value is 15.165 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO5 |
Local youth trained in tourism industry will not hesitate to take up jobs in other regions of India |
4.08 |
0.829 |
8.206 |
0 |
Mean response is 4.08. S.D. is 0.829. Thus it is quite evident that promotion of tourism will promote professional skills in local people and they can be employed elsewhere if required. At 95% confidence limit the t-value is 8.206 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected |
SO6 |
Industrial growth will increase labour union activities and other forms of violence and criminal activities in the state |
3.2 |
1.181 |
1.071 |
0.291 |
Mean response is 3.2. S.D. is 1.181. Thus it is quite evident that industrial growth may prove harmful to the peaceful life of the state. At 95% confidence limit the t-value is 1.071 which shows that the belief may not be absolutely significant this is further confirmed by the significance value which is 0.291 well above 0.05. The industrial growth may not be harmful. |
SO7 |
Tourism industries may enhance social tension due to imbalance in demographic homogeneity |
3.15 |
1.145 |
0.829 |
0.412 |
Mean response is 3.15. S.D. is 1.145. Thus it is quite evident that industrial growth may create social tension. At 95% confidence limit the t-value is 0.829 which shows that the belief may not be significant this is further confirmed by the significance value which is 0.412 well above 0.05. The t-test and significance is against social tension. |
SO8 |
Membership level of voluntary community service groups and NGOs have gone up with increased activities of tourism industries |
3.85 |
0.834 |
6.449 |
0 |
Mean response is 3.85. S.D. is 0.834. Thus it is quite evident that promotion of tourism will promote NGO activities in the state. At 95% confidence limit the t-value is 6.449 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO9 |
There are changes in community perception of interactions with tourists |
3.95 |
0.749 |
8.018 |
0 |
Mean response is 4.25. S.D. is 0.742. Thus it is quite evident that interaction with domestic and international tourists will enrich the social culture of the local people. At 95% confidence limit the t-value is 10.648 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO10 |
Social culture will enrich by interaction between inflow of people from different parts of the country and with international tourists |
4.25 |
0.742 |
10.648 |
0 |
Mean response is 4.25. S.D. is 0.742. Thus it is quite evident that interaction with domestic and international tourists will enrich the social culture of the local people. At 95% confidence limit the t-value is 10.648 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SOII |
Tourism will help cross movements of people and help in improving global awareness |
4.35 |
0.834 |
10.243 |
0 |
Mean response is 4.35. S.D. is 0.834. Thus it is quite evident that tourism will lead to improvement in global awareness. At 95% confidence limit the t-value is 10.648 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO12 |
Such industrial development will give impetus to better infrastructural development in the state |
4.13 |
0.911 |
7.809 |
0 |
Mean response is 4.13. S.D. is 0.911. Thus it is quite evident that tourism will lead to infrastructural development. At 95% confidence limit the t-value is 7.809 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO13 |
Tourism will bring out the best human traits in local people |
4.03 |
0.974 |
6.658 |
0 |
Mean response is 4.03. S.D. is 0.974. Thus it is quite evident that tourism will enhance skill development in local people. At 95% confidence limit the t-value is 6.658 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO14 |
There is a concerted revival of local cultures and traditions to attract tourists |
4.33 |
0.656 |
12.778 |
0 |
Mean response is 4.33. S.D. is 0.656. Thus it is quite evident that tourism will revive local cultures and will be used for attracting more tourists. At 95% confidence limit the t-value is 12.778 which show that the belief is absolutely significant this is further confirmed by the significance value which is 0 well below 0.05. The null hypothesis is therefore rejected. |
SO15 |
Number of crimes in Sikkim will increase because of tourism related activities |
2.98 |
1 |
-0.158 |
0.875 |
Mean response is 2.98. S.D. is 1. Thus it is not evident that tourism will increase the crime rate in Sikkim. At 95% confidence limit the t-value is -0.158 which shows that the belief is absolutely significant this is further confirmed by the significance value which is 0.875 well above 0.05. Therefore, the crime rate may not increase. |
SO16 |
Cost of living of local residents will increase while meeting additional demands of tourists thereby causing additional financial burden and dissatisfaction amongst locals |
3.5 |
1.109 |
0.285 |
0.007 |
Mean response is 3.5. S.D. is 1.109. Thus it is quite evident that tourism will rise the cost of living of the residents since the need of tourists have to be fulfilled at each level. At 95% confidence limit the t-value is 0.285 which shows that the belief is absolutely significant this is further confirmed by the significance value which is 0.007 well below 0.05. The null hypothesis is therefore rejected. |
Table 5: Results on Environmental Impacts
EN1 |
There has been loss of agriculture land because of promoting tourist spots |
3.45 |
1.131 |
2.516 |
0.016 |
Mean response is 3.45. S.D. is 1.131. Thus it is quite evident that promotion of tourists spots results in loss of agricultural land. At 95% level of confidence limit the t-value is 2.516 which shows that the belief is absolutely significant that is further confirmed by the significance value that is, 0.016 well below 0.05. The null hypothesis is therefore rejected. |
EN2 |
Forest covers are being lost because of infrastructural developments to promote tourism |
3.53 |
1.062 |
3.127 |
0.003 |
Mean response is 3.53. S.D. is 1.062. Thus it is quite evident that promotion of tourists spots results in loss of forest cover as well. At 95% level of confidence limit the t-value is 3.127 which show that the belief is absolutely significant that is further confirmed by the significance value that is 0.003 well below 0.05. Hence the null hypothesis is rejected. |
EN3 |
Availability of daily usage water by local public may reduce because of substantial water needs of tourists |
3.4 |
1.194 |
2.119 |
0.041 |
Mean response is 3.4. S.D. is 1.194. Thus it is quite evident that promotion of tourists spots results in less availability of daily usage water to the local public. At 95% level of confidence limit the t-value is 2.119 which show that the belief is absolutely significant that is further confirmed by the significance value that is 0.041 below 0.05. Hence null hypothesis is rejected. |
EN4 |
Plastic waste of all types generated by tourists will cause major environment problems in future |
3.88 |
0.992 |
5.579 |
0 |
Mean response is 3.88 on a scale of 5. S.D. is 0.992. Thus it is quite evident that promotion of tourists spots results in more accumulation of various wastes which creates environmental problems. At 95% level of confidence limit the t-value is 5.579 which show that the belief is absolutely significant that is further confirmed by the significance value that is 0 well below 0.05. Hence null hypothesis is rejected. |
EN5 |
Wildlife deaths due to road accidents have gone up in areas where there is excessive movements of tourists |
2.9 |
0.955 |
-0.662 |
0.512 |
Mean response is 2.9. S.D. is 0.955. Thus it is evident that tourism may result in reduction of wild life due to the development program made for promotion of tourism. At 95% confidence limit the t-value is -0.662 which shows that the belief is significant this is further not confirmed by the significance value which is 0. 512 well above 0.05. These tests negate the assumption that wild life deaths have gone up. Hence increased tourist movements may not affect the wild life. |
EN6 |
Some wildlife species have lost their permanent habitat by increased tourism |
3.38 |
1.079 |
2.199 |
0.034 |
Mean response is 3.38. S.D. is 1.079. Thus it is quite evident that promotion of tourists spots results in loss of permanent habitat by some wildlife species. At 95% level of confidence limit the t-value is 3.127 which shows that the belief is absolutely significant that is further confirmed by the significance value that is, 0.003 well below 0.05. Hence null hypothesis is rejected. |
EN7 |
Tourism has adversely impacted the habitat of some important faunal species |
3.45 |
0.904 |
3.147 |
0.003 |
Mean response is 3.45. S.D. is 0.904. Thus it is quite evident that tourism spots results in loss of habitat of some faunal species as well. At 95% level of confidence limit the t-value is 3.147 which shows that the belief is absolutely significant that is further confirmed by the significance value that is, 0.003 well below 0.05. Hence null hypothesis is rejected. |
EN8 |
Movements of many migratory wild animal and bird species have been restricted / stopped because of tourist influx |
3.18 |
1.035 |
1.069 |
0.291 |
Mean response is 3.18. S.D. is 1.035. Thus it is quite evident that promotion of tourism may result in movements of migratory animal and bird species. At 95% level of confidence limit the t-value is 1.069 which shows that the belief is not significant that is further confirmed by the significance value that is, 0.291 well below 0.05. These tests show that the tourist influx may not affect movements of migratory animals and birds. |
EN9 |
New disease may get imported as a direct result of tourism related activities |
3.38 |
1.079 |
2.199 |
0.034 |
Mean response is 3.38. S.D. is 1.079. Thus it is quite evident that tourism spots results in contamination of diseases to local people from the tourists. At 95% level of confidence limit the t-value is 2.199 which shows that the belief is absolutely significant that is further confirmed by the significance value that is, 0.034 well below 0.05. Hence null hypothesis is rejected. |
EN10 |
Tourism related activities are resulting in green-belt development |
3.5 |
0.877 |
3.606 |
0.001 |
Mean response is 3.5. S.D. is 0.877. Thus it is quite evident that tourism spots results in more of green-belt development. At 95% level of confidence limit the t-value is 3.606 which shows that the belief is absolutely significant that is further confirmed by the significance value that is, 0.001 well below 0.05. Hence null hypothesis is rejected. |
EN11 |
Landslides have increased as a direct fall-out of tourism related infrastructural development |
3.08 |
1.118 |
0.424 |
0.674 |
Mean response is 3.08. S.D. is 1.118 Thus it is quite evident that infrastructural development related to tourism spots results in more of landslides. At 95% level of confidence limit the t-value is 0.424 which shows that the belief is not absolutely significant that is further confirmed by the significance value that is 0.674 well below 0.05. Hence the landslides may not be exclusively related to tourist related activities. |
EN12 |
Number of threatened plant species has gone up in tourism intensive regions of the state |
3.08 |
0.888 |
0.534 |
0.596 |
Mean response is 3.08. S.D. is 0.888. Thus it is quite evident that tourism results in threatening of plant species. At 95% level of confidence limit the t-value is 0.534 which shows that the belief is not absolutely significant that is further confirmed by the significance value that is 0.596 well above 0.05. Hence this belief may not be true. |
EN13 |
Carrying capacity of limited roads and habitats in the mountains will be far exceeded causing additional stress on resources and discomfort to residents |
3.68 |
0.971 |
4.396 |
0 |
Mean response is 3.68. S.D. is 0.971. Thus it is quite evident that tourism results in discomforts to the residents. At 95% level of confidence limit the t-value is 4.396 which shows that the belief is absolutely significant that is further confirmed by the significance value that is 0 well below 0.05. Hence null hypothesis is rejected. |
EN14 |
Tourism will cause considerable increase in vehicular traffic thus increasing air pollution much more compared to other industries like hydel and pharmaceutical. |
3.35 |
1.388 |
1.595 |
0.119 |
Mean response is 3.35. S.D. is 1.388. Thus it is quite evident that tourism results in more of pollution due to increase in vehicular traffic. At 95% level of confidence limit the t-value is 1.595 which shows that the belief is not absolutely significant that is further confirmed by the significance value that is 0.119 above 0.05. Hence, increase in vehicular pollution due to tourism compared to other industries may not be true. |
CONCLUSION:
The salient findings given in the Table 1 is a clear indication that the null hypothesis is rejected and the alternative hypothesis holds good. In some of the questions bringing the adverse effects of tourism has not been implicitly confirmed through the analysis. All the necessary ingredients like geographical location, climate, culture, hospitable population and government support makes Sikkim a hot spot for tourism as discussed in preceding paragraphs. This is amply supported by overall analysis in the salient findings in Table 1 which shows that the tourism industry in Sikkim holds abundant future.
It is seen that most economic consequences of tourism are beneficial. They include income and employment generation, generation of foreign exchange, urbanization and increased regional development particularly in isolated areas, greater tax revenue permitting greater government spending, and overall rising image of the place internationally. At the same time, the spending of both domestic and foreign visitors produces a cascading effect of new money through the economy via the multiplier effect.
The study concludes that the economic benefits of tourism normally outweigh some of the negative features. It also acknowledges that appropriate remedial action can reduce/remove the negative effects. Eco-tourism, village tourism, social tourism, religious tourism and adventure tourism properly planned and executed can substantially reduce massing, congestion, discomfort to inhabitants, vehicular pollution, localized loading of the services and in turn benefit both urban as well as rural population of the state leading to sustainability of tourism industry in the state.
In addition to all these, the attitude of the local people and local government has to be very congenial to attract the tourists to the state. The tourism industry in India is based on certain nationalistic ideals such as Swagat or welcome, Sahyog or cooperation, Soochna or information, Sanrachana or infrastructure, Suvidha or facilitation, Safaii or cleanliness and Surakshaa or security. Last but not the least, the main core recital ‘Atithi Devo Bhava’, has now become the mantra for heartening India’s culture, and hence a way to make foreigners feel at home.
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Received on 25.08.2013
Modified on 20.09.2013
Accepted on 01.10.2013
© A&V Publication all right reserved
Research J. Humanities and Social Sciences. 4(4): October-December, 2013, 527-537