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Journal of Environment and Earth Science                                                        www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.2, 2012



Forecasting as a Pinnacle for Rural Revitalization: Case Study
       of Mesowalai Homestay, Sabah State, Malaysia
              1
                  Ojo Kayode Ayobami, 2Hairul Nizam Bin Ismail and 3Stephen Enyinaya Eluwa
                      123
                            Faculty of Built Environment, Universiti Teknologi, 81310 Skudai,
                                Malaysia.*blessfriend112@yahoo.com,+60103906838

Abstract
The rapid increase in the capacity of computers to store information has generated an abundance of data
across all types of industries in the world. Tourism forecast generates thousands of series of data nearly
every time when considering domestic travel, as well as numerous levels of disaggregation such as
geographical regions, purpose of travel and so on. Hence, accurate forecasting techniques have become a
necessity in Mesowalai Homestay due to the influx of tourists to the area & its impact on socio- economic
development so as to take advantage of such a plethora of information. Many studies have used different
forecasting techniques to forecast tourist arrival; therefore this study adopts the regression approach to
forecast tourist arrivals in Mesowalai homestay. The data comprises of tourist arrival from the year 2000 to
2010. For the modeling, year 2000 to 2006 was used for building up the tourist arrival model and year 2006
to 2010 was used to compare the forecast. The result shows that the peak tourist arrivals to Mesowalai
homestay is put at 1123.55 annually while tourist growth increases by 233.2 annually.
Keywords: Volunteer tourism, Forecast, Regression Approach, Tourist Arrival, Homestay
1. Introduction
Tourism has become the largest global industry (Goeldner & Ritchie, 2006, Choi & Sirakaya 2006) and the
growth of this industry in the 20th century has been credited to the “globalization of capitalism, movement
of populations, tourist’s arrival, advancement in transportation and modern communication technology. In
2010, the World Travel and Tourism Council (WTTC) projected that the travel and tourism industry would
generate a total of $5,474 billion toward global gross domestic product and 219,810,000 jobs. Many
communities have experienced dwindling traditional industries as a result of rural urban drift and have
increasingly looked towards tourism to help fill the growing economic void (Latkova, 2008; Perdue, Long,
& Allen, 1987). The travel and tourism industry has the potential to offer many benefits to these
communities which include improvement in the quality of life in a host community by increasing
employment opportunities, tax revenues, economic diversity, festivals, restaurants, cultural activities, and
outdoor recreation opportunities (Andereck, et al., 2005). Andereck, et al., (2005) noted that tourism also
has some negative impacts to the host community, such as increased crowding, traffic, crime, cost of living,
parking problems, friction between residents and tourists, and changes in residents’ way of life. To arrest
these ugly situation , voluntourism can serve as an alternative form of tourism that aims at limiting these
negative impacts while obtaining the benefits the tourism industry has to offer (Wearing,2002; Stebbins &
Graham ,2004;Stoddart&Rogerson, 2004). The Residents support of tourism has also been identified as an
essential element for successful sustainable tourism development (Jurowski & Gursoy, 2004; Latkova,
2008, Awangku, 2009) and the establishment of home stay in Batu Puteh in Sabah State (Hamzah, 1986) is
a good yardstick to venture into forecasting of tourist’s arrival. Homestay is a place where travelers can stay
and live with a local host in their family home. Homestays in Sabah provide a unique opportunity to
experience the way of life of local people of an area along with their indigenous and traditional cultures.
They also provide an opportunity for visitors to experience a place in an authentic, comfortable and homely
setting. Homestays are not merely a place of accommodation for travelers such as a hotel, and should not be
confused with "Bed and Breakfast", "Inns" or "Lodging Houses" because it is a place that usually seek to
ameliorate the rural menace through the development of viable resilient sustainable diversified local
economy, improve the quality of life of the area by building the community capacity to adapt to and benefit
from global economic change. In a related vein, (rural revitalization) focuses on the stimulation of

                                                          24
Journal of Environment and Earth Science                                                        www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.2, 2012
opportunities that will generate additional income and jobs, while preserving and enhancing the dynamics
and features that make rural life special and sustainable (Song & Li, 2008; McGehee & Santos, 2005).
Therefore, tourist’s arrival and its forecast are among the prerequisites of rural revitalization which is based
on their economic strength and aims at improving their quality of life, living standard and general
development of Batu Puteh at large.
2. Significance
 The goal of voluntourism development is to increase the quality of life of the residents in a given host
community (Um & Crompton, 1987).. Results of this study act as a baseline to measure the benefits
accrueable to forecasting tourist arrival in BatuPuteh. The findings may aid in the creation of a marketing
campaign with a narrower focus and to increase residents’ awareness of tourism . There. If the central goal
of tourism development is to increase residents’ quality of life, a marketing campaign strategy is needed to
increase residents’ knowledge (Valentine, et-al, 2005, Andreasen, 1994; Hairul & Hafizul, 2011) and
awareness of trip forecast( Benson& Henderson 2011). Therefore, this study may also aid in the planning
of future voluntourism development and support Batu Puteh’s future tourism development plans by
establishing a better understanding of the tourist arrival synergy. Other significant of tourist’s arrival
forecast are too numerous that one wonders why the neglect, among the merit that are deducible from
adapting tourist’s arrival forecast vis a vis rural revitalization are:
   It guarantees moderate population increment, and increased economy in the rural areas because of
enhanced increase in income through job opportunities and the re- branding of Batu Puteh
     It guarantees the retention of youth back in the rural area because of the assurance that a good number
of tourists will visit their community at certain period in time, thereby, empowering the youths to improve
their skills in art, farming and other economic activities. It also enhances improvement in participatory
approach, preservation of culture and other special affluence of rural communities, like rural pride by
enhancing community capacity through established leadership strategies, asset mapping, and mobilization
which later manifests into exchange of ideas, learning to weigh the success and where improvement is
required. The motivations factors (Candy &Ada, 2011; Soderman& Snead, 2008) that accelerated increase
in number of individuals taking part in short term organized voluntourism programme and increasing
demand for volunteer tourism activity has been paralleled by increase in sending organization which
promotes, sell and organize for voluntourists with variety of options (Callanan & Thomas, 2005) and the
International Institute of Peace Through Tourism (2006), affirmed that travel often promotes international
understanding, tolerance, cultural awareness and creates cultural dialogue thus, leading to the reduction of
conflict in host community and the world at large, but this assertion depends on adequate information and
enlightenment arising from voluntourist arrival forecast.
3. Literature review
      Volunteer tourism is a type of alternative in which tourists volunteer in an organized way to undertake
holiday that might involve aiding or alleviating the material needs of some groups in society, the restoration
of certain environment or research into aspect of society or environment (Wearing 2001). In a similar vein,
Volunteer tourism or voluntourism is defined by Broad & Jenkin, (2008), and McIntosh& Zahra (2008) as
a type of tourism experience where tour operators offer travelers an opportunity to participate in an
optional excursion that has a volunteer components as well as a cultural exchange with local people [host
community] while McGehee and Santos (2005) conceives Volunteer tourism or voluntourism as utilizing
discretionary time and income to travel out of the sphere of the regular activity to assist others in need. The
increasing demand for an alternative, friendlier, non- discriminating experience has occasioned a new array
of niche product amongst which voluntourism is the fastest growing and most prominent (Lyons & Wearing
2008, Mathew 2008, Coghlan 2006).
      Voluntourism embraces trinity of approach in enhancing local economy, environment and the society
with special reference to cultural values of the host to be able to work, live or stay and to promote pro-poor
egalitarian society within a healthy natural environment. voluntourists will be aware of culture of the host,
respect it norms, tradition, value and lifestyles, empowered to follow diligently throughout their stay and
even learn from. The Voluntourists aims at utilizing this alternative tourism approach in a progressive and
educational form which will eventually contributes to global justice, sustainability, peaceful co-existence,
job creation, youth retention and above all rural revitalization as a main target. Communities should

                                                      25
Journal of Environment and Earth Science                                                       www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.2, 2012
endeavour to cultivate the attitude of forecasting the expected number of tourists through regression
modeling technique as applied by the researcher. Fig 1shows voluntourism categorization.
      The multiplier effect is a concept that explains why tourists spending have a greater local economic
impact than the original amount spent. Essentially the multiplier effect is the concept that every dollar spent
by a tourist while in the host community will turn over several times before leaving the community,
thereby, multiplying the impact of currency spent by tourists in a given host community (Goeldner &
Ritchie, 2006). The indirect or multiplier impact comes into play as visitor spending circulates and re-
circulates” They further break the multiplier into income multiplier and employment multiplier. More jobs
are created from the tourists spending circulating and re-circulating throughout a host community. As a
result, income in the host community will also grow exponentially with tourist spending. Tourist’s spending
circulates within a destination so that the economic benefits are widely distributed throughout a destination.
       3.1 Tourism in Malaysia
      The growth of tourism in Asia and the Pacific grew more than two-fold from 57.7m to 119.1m
international arrivals from 1990 to 2003. In 2003, the region achieved 17.2% of international market share,
second only to Europe (57.8%), surpassing the Americas in 2001. The (SARS) epidemic “Severe Acute
Respiratory Syndrome” saw a significant decline particularly in North East (-8.8%) and South East Asia (-
15.4%) contributing to the overall decrease (-1.2%) in world travel from 702.6m in 2002 in to 694m in
2003 (WTO 2004)
      3.2 Tourism in Sabah
      The island of Borneo is politically divided into Brunei, Malaysia, and Indonesian Kalimantan.
Separated from Peninsular Malaysia (PM) by the South China Sea, Sabah, one of Malaysia’s 13 States
occupies the north eastern region of the island and shares terrestrial borders with the Malaysian state of
Sarawak and Indonesian Kalimantan. In the eastern seas of Sulu and Sulawesi lie the international borders
with the Philippines and Indonesia. Kota Kinabalu (KK), the state capital and the main port of entry is
served with international and domestic linkages, which include Kuala Lumpur, Singapore, Tokyo, Brunei,
Seoul, Taipei, Hong Kong, Manila, Manado (Sulawesi), Guangzhou (China), Balikpapan (Kalimantan) and
Sydney. Inter-state transportation is facilitated by an efficient network of flights and bus routes operating
between major towns. International sea access includes a ferry route from Southern Philippines to Sandakan
and Kalimantan to Tawau (Hamza, 1986; Awangku, 2009). The differences in tourism development
between Peninsular Malaysia (PM) and Sabah are based on geographical location, access, resource and
foundation and world image. Reinforced by the ‘wild’ Borneo image, the cornerstone of tourism in Sabah is
established on a contrasting combination of natural and wildlife attractions, set against a backdrop of
terrestrial and marine landscapes ranging from the mountains, lowland forests, floodplains and the tropical
islands. It is on this premises that KOPEL was set up in Batu Puteh Community to develop the poor and
isolated indigenous rural areas with ecological upset, to reverse the losses, to capitalize on ancient
indigenous traditional knowledge and culture. The creation of homestay in Batu Puteh fondly called
Mesowalai Homestay that volunteers stay with a local host family helps provide volunteers with a fun and
added cultural experience with KOPEL-MESCOT.
4. Forecast
      The rapid increase in the capacity of computers to store information has generated an abundance of
data across all types of industries. For example, Athanasopoulos et al. (2009) generated forecasts for 117
tourism demand series (including Australian domestic tourism only), disaggregated only by elected
geographical areas. In total, Tourism Australia generates forecasts for thousands of series every quarter
when considering inbound, outbound and domestic travel, as well as numerous levels of disaggregation
such as geographical regions, purpose of travel and so on. The under listed techniques have been applied in
various field of study by various scholars and researchers:
      Allen and Fildes (2001) found that models with exogenous variables forecast better than extrapolating
methods when ex post forecasts are used for the regressors. Athanasopoulos &Vahid (2008) also carried out
study in macroeconomic. A surprising result from their study is that the forecasting performances of causal
models seem to improve when using ex ante, rather than ex post, forecasts. In the tourism literature,
despite strong warnings about its limitations ( Hyndman and Koehler, 2006), the MAPE remains the most
commonly used forecast error measure among both academics and practitioners (see Fildes &Goodwin,
2007), and the tourism forecasting literature is no exception ( Li et al., 2005; Song & Li, 2008). The MASE

                                                      26
Journal of Environment and Earth Science                                                       www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.2, 2012
(mean absolute scaled error), that was proposed by Hyndman and Koehler (2006 ).Hence, accurate
forecasting procedures have become a necessity in order to take advantage of such a plethora of
information and as forecasting is the ability to project into future which is uncertain. Many studies have
used different forecasting techniques to forecast tourist arrival Song, et-al, 2003; Kim et-al, 2008; Song &
Li, 2008, Athanasopoulos et-al, 2009; Fildes et al 2010). This study adopts the regression approach to
forecast tourist arrivals in Mesowalai Homestay. The data comprise of tourist arrival from the year 2000 to
2010, and this was equally used for building the tourist arrival model and year 2006 to 2010 was used to
compare the forecast. Figure 2 shows the number of non-volunteer and volunteer tourist arrivals in Bar
chart.
     In forecasting the model, least squares approach was adopted with the parameters (a) and (b)
estimated as follows:


      The required sums of squares are: N =11,                             ,            ,
and
      From these parameter estimates are obtained as:
      a=1123.55 and n b=233.2
      and the fitted linear regression line is:
      The table 1 illustrates the actual and forecast values of Tourist arrivals in Mesowalia Homestay
      5. Discussion and Results
      The homestay fitted linear regression, line Y =1123.55+233.2X. From this, we deduced that there is an
increase of tourist arrivals to the homestay of 233.2 annually while tourist peak to the homestay is put at
1123.55 annually. This means that if each tourist arrives the homestay with an income of RM1000 then
annually this will amount to RM11235.5 and for the forecasted 10years period the homestay community
will make expected or projected revenue of RM11, 235,500. The chart of actual and forecasted values of
tourist arrival is as shown in figure 3.
      6. Recommendations and Conclusion
      Based on the results of this study, it is recommended that a social marketing campaign be
implemented to increase residents’ awareness, tourism knowledge and expected number of tourist arrivals
to their community coupled with economic benefits, and such a campaign should focus on economic
advantages, knowledge gainable and general physical development . One way to offer additional
information to the residents’ awareness on volutourism would be to add to the existing website the positive
impacts of tourist’s arrival forecast. Others are to configure in to the website the impact of tourism
industry’s to the local economy, and community services that are partially funded by tourists spending,
      The use of mass media, promo and exhibition is also recommended so as to motivate tourist to revisit
as well as updating the images in order to intensify positive feeling towards the homestay because the
whole world is now global village with various networks of communication and internet.
      Conclusively, the prompt maintenance and the provision of necessary facilities in the Mesowalai
homestay coupled with tourism potential like wildlife conservation, sea turtles, flora, fauna, proboscis
monkey, outstanding stretch coral reef and the establishment of eco- nature destination. The combination of
all these parameters i.e. the culture, nature and adventures fascinate potential tourist to explore the
homestay. The forecast will be of greater assistance to authenticate the homestay developmental strategies
so as to strengthen the attractiveness of the Mesowalai homestay which will in turn boost the economic and
social activities of the residents and adjourning communities. The researcher buttressed Lankford and
Howard (1994) that, “Educational programs, public meetings, and workshops can be undertaken at the local
level to help residents understand the essence of tourist arrival forecast in tourism industry and its impacts.
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                                                      27
Journal of Environment and Earth Science                                                    www.iiste.org
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Vol 2, No.2, 2012
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Journal of Environment and Earth Science                                                                     www.iiste.org
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Vol 2, No.2, 2012
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Table 1: The actual and forecast values of Tourist arrivals to MesowaliaHomestay


Year       2006      07        08        09        10           11         12        13         14           15           16         17        18

Actual     918       1596      2149      2943      1786

Forecast   1356.76   1589.95   1823.15   2056.35   2289.55      2522.75    2755.95   2989.15    3222.35      3455.555     36888.75   3921.55   4155.15

Source: Planning Department, Johor Bahru, 2010




                                                           29
Journal of Environment and Earth Science                                                       www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.2, 2012


   Recreation/leisure                Tourism                     Mass Tourism                  Eco-Tourism




                                               Alternative Tourism



                     Commutourism                   Responsible Tourism



                Culture Tourism                     Productive Tourism
                                                                                    Postmodern Tourism
                                                                                    Altruistic Tourism
                Social Tourism                       Charity Tourism
                                                                                     Justice Tourism
                Moral Tourism                        Pro-poor Tourism
                                                                                    Romantic Tourism
                Ethical Tourism                    Mission LIte Tourism
                                                                                  Just Tourism
               Religious Tourism                    Purposeful Tourism




                                                        Voluntourism

         Fig.1 categorizing voluntourism (Wearing 2001) as modified by researcher




Fig. 2 the number of non-volunteer and volunteer tourist arrivals in Bar chart.




                                                     30
Journal of Environment and Earth Science                               www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.2, 2012




Fig. 3,The chart of actual and forecasted values of tourist arrival.




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11.forecasting as a pinnacle for rural revitalization

  • 1. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 Forecasting as a Pinnacle for Rural Revitalization: Case Study of Mesowalai Homestay, Sabah State, Malaysia 1 Ojo Kayode Ayobami, 2Hairul Nizam Bin Ismail and 3Stephen Enyinaya Eluwa 123 Faculty of Built Environment, Universiti Teknologi, 81310 Skudai, Malaysia.*blessfriend112@yahoo.com,+60103906838 Abstract The rapid increase in the capacity of computers to store information has generated an abundance of data across all types of industries in the world. Tourism forecast generates thousands of series of data nearly every time when considering domestic travel, as well as numerous levels of disaggregation such as geographical regions, purpose of travel and so on. Hence, accurate forecasting techniques have become a necessity in Mesowalai Homestay due to the influx of tourists to the area & its impact on socio- economic development so as to take advantage of such a plethora of information. Many studies have used different forecasting techniques to forecast tourist arrival; therefore this study adopts the regression approach to forecast tourist arrivals in Mesowalai homestay. The data comprises of tourist arrival from the year 2000 to 2010. For the modeling, year 2000 to 2006 was used for building up the tourist arrival model and year 2006 to 2010 was used to compare the forecast. The result shows that the peak tourist arrivals to Mesowalai homestay is put at 1123.55 annually while tourist growth increases by 233.2 annually. Keywords: Volunteer tourism, Forecast, Regression Approach, Tourist Arrival, Homestay 1. Introduction Tourism has become the largest global industry (Goeldner & Ritchie, 2006, Choi & Sirakaya 2006) and the growth of this industry in the 20th century has been credited to the “globalization of capitalism, movement of populations, tourist’s arrival, advancement in transportation and modern communication technology. In 2010, the World Travel and Tourism Council (WTTC) projected that the travel and tourism industry would generate a total of $5,474 billion toward global gross domestic product and 219,810,000 jobs. Many communities have experienced dwindling traditional industries as a result of rural urban drift and have increasingly looked towards tourism to help fill the growing economic void (Latkova, 2008; Perdue, Long, & Allen, 1987). The travel and tourism industry has the potential to offer many benefits to these communities which include improvement in the quality of life in a host community by increasing employment opportunities, tax revenues, economic diversity, festivals, restaurants, cultural activities, and outdoor recreation opportunities (Andereck, et al., 2005). Andereck, et al., (2005) noted that tourism also has some negative impacts to the host community, such as increased crowding, traffic, crime, cost of living, parking problems, friction between residents and tourists, and changes in residents’ way of life. To arrest these ugly situation , voluntourism can serve as an alternative form of tourism that aims at limiting these negative impacts while obtaining the benefits the tourism industry has to offer (Wearing,2002; Stebbins & Graham ,2004;Stoddart&Rogerson, 2004). The Residents support of tourism has also been identified as an essential element for successful sustainable tourism development (Jurowski & Gursoy, 2004; Latkova, 2008, Awangku, 2009) and the establishment of home stay in Batu Puteh in Sabah State (Hamzah, 1986) is a good yardstick to venture into forecasting of tourist’s arrival. Homestay is a place where travelers can stay and live with a local host in their family home. Homestays in Sabah provide a unique opportunity to experience the way of life of local people of an area along with their indigenous and traditional cultures. They also provide an opportunity for visitors to experience a place in an authentic, comfortable and homely setting. Homestays are not merely a place of accommodation for travelers such as a hotel, and should not be confused with "Bed and Breakfast", "Inns" or "Lodging Houses" because it is a place that usually seek to ameliorate the rural menace through the development of viable resilient sustainable diversified local economy, improve the quality of life of the area by building the community capacity to adapt to and benefit from global economic change. In a related vein, (rural revitalization) focuses on the stimulation of 24
  • 2. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 opportunities that will generate additional income and jobs, while preserving and enhancing the dynamics and features that make rural life special and sustainable (Song & Li, 2008; McGehee & Santos, 2005). Therefore, tourist’s arrival and its forecast are among the prerequisites of rural revitalization which is based on their economic strength and aims at improving their quality of life, living standard and general development of Batu Puteh at large. 2. Significance The goal of voluntourism development is to increase the quality of life of the residents in a given host community (Um & Crompton, 1987).. Results of this study act as a baseline to measure the benefits accrueable to forecasting tourist arrival in BatuPuteh. The findings may aid in the creation of a marketing campaign with a narrower focus and to increase residents’ awareness of tourism . There. If the central goal of tourism development is to increase residents’ quality of life, a marketing campaign strategy is needed to increase residents’ knowledge (Valentine, et-al, 2005, Andreasen, 1994; Hairul & Hafizul, 2011) and awareness of trip forecast( Benson& Henderson 2011). Therefore, this study may also aid in the planning of future voluntourism development and support Batu Puteh’s future tourism development plans by establishing a better understanding of the tourist arrival synergy. Other significant of tourist’s arrival forecast are too numerous that one wonders why the neglect, among the merit that are deducible from adapting tourist’s arrival forecast vis a vis rural revitalization are: It guarantees moderate population increment, and increased economy in the rural areas because of enhanced increase in income through job opportunities and the re- branding of Batu Puteh It guarantees the retention of youth back in the rural area because of the assurance that a good number of tourists will visit their community at certain period in time, thereby, empowering the youths to improve their skills in art, farming and other economic activities. It also enhances improvement in participatory approach, preservation of culture and other special affluence of rural communities, like rural pride by enhancing community capacity through established leadership strategies, asset mapping, and mobilization which later manifests into exchange of ideas, learning to weigh the success and where improvement is required. The motivations factors (Candy &Ada, 2011; Soderman& Snead, 2008) that accelerated increase in number of individuals taking part in short term organized voluntourism programme and increasing demand for volunteer tourism activity has been paralleled by increase in sending organization which promotes, sell and organize for voluntourists with variety of options (Callanan & Thomas, 2005) and the International Institute of Peace Through Tourism (2006), affirmed that travel often promotes international understanding, tolerance, cultural awareness and creates cultural dialogue thus, leading to the reduction of conflict in host community and the world at large, but this assertion depends on adequate information and enlightenment arising from voluntourist arrival forecast. 3. Literature review Volunteer tourism is a type of alternative in which tourists volunteer in an organized way to undertake holiday that might involve aiding or alleviating the material needs of some groups in society, the restoration of certain environment or research into aspect of society or environment (Wearing 2001). In a similar vein, Volunteer tourism or voluntourism is defined by Broad & Jenkin, (2008), and McIntosh& Zahra (2008) as a type of tourism experience where tour operators offer travelers an opportunity to participate in an optional excursion that has a volunteer components as well as a cultural exchange with local people [host community] while McGehee and Santos (2005) conceives Volunteer tourism or voluntourism as utilizing discretionary time and income to travel out of the sphere of the regular activity to assist others in need. The increasing demand for an alternative, friendlier, non- discriminating experience has occasioned a new array of niche product amongst which voluntourism is the fastest growing and most prominent (Lyons & Wearing 2008, Mathew 2008, Coghlan 2006). Voluntourism embraces trinity of approach in enhancing local economy, environment and the society with special reference to cultural values of the host to be able to work, live or stay and to promote pro-poor egalitarian society within a healthy natural environment. voluntourists will be aware of culture of the host, respect it norms, tradition, value and lifestyles, empowered to follow diligently throughout their stay and even learn from. The Voluntourists aims at utilizing this alternative tourism approach in a progressive and educational form which will eventually contributes to global justice, sustainability, peaceful co-existence, job creation, youth retention and above all rural revitalization as a main target. Communities should 25
  • 3. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 endeavour to cultivate the attitude of forecasting the expected number of tourists through regression modeling technique as applied by the researcher. Fig 1shows voluntourism categorization. The multiplier effect is a concept that explains why tourists spending have a greater local economic impact than the original amount spent. Essentially the multiplier effect is the concept that every dollar spent by a tourist while in the host community will turn over several times before leaving the community, thereby, multiplying the impact of currency spent by tourists in a given host community (Goeldner & Ritchie, 2006). The indirect or multiplier impact comes into play as visitor spending circulates and re- circulates” They further break the multiplier into income multiplier and employment multiplier. More jobs are created from the tourists spending circulating and re-circulating throughout a host community. As a result, income in the host community will also grow exponentially with tourist spending. Tourist’s spending circulates within a destination so that the economic benefits are widely distributed throughout a destination. 3.1 Tourism in Malaysia The growth of tourism in Asia and the Pacific grew more than two-fold from 57.7m to 119.1m international arrivals from 1990 to 2003. In 2003, the region achieved 17.2% of international market share, second only to Europe (57.8%), surpassing the Americas in 2001. The (SARS) epidemic “Severe Acute Respiratory Syndrome” saw a significant decline particularly in North East (-8.8%) and South East Asia (- 15.4%) contributing to the overall decrease (-1.2%) in world travel from 702.6m in 2002 in to 694m in 2003 (WTO 2004) 3.2 Tourism in Sabah The island of Borneo is politically divided into Brunei, Malaysia, and Indonesian Kalimantan. Separated from Peninsular Malaysia (PM) by the South China Sea, Sabah, one of Malaysia’s 13 States occupies the north eastern region of the island and shares terrestrial borders with the Malaysian state of Sarawak and Indonesian Kalimantan. In the eastern seas of Sulu and Sulawesi lie the international borders with the Philippines and Indonesia. Kota Kinabalu (KK), the state capital and the main port of entry is served with international and domestic linkages, which include Kuala Lumpur, Singapore, Tokyo, Brunei, Seoul, Taipei, Hong Kong, Manila, Manado (Sulawesi), Guangzhou (China), Balikpapan (Kalimantan) and Sydney. Inter-state transportation is facilitated by an efficient network of flights and bus routes operating between major towns. International sea access includes a ferry route from Southern Philippines to Sandakan and Kalimantan to Tawau (Hamza, 1986; Awangku, 2009). The differences in tourism development between Peninsular Malaysia (PM) and Sabah are based on geographical location, access, resource and foundation and world image. Reinforced by the ‘wild’ Borneo image, the cornerstone of tourism in Sabah is established on a contrasting combination of natural and wildlife attractions, set against a backdrop of terrestrial and marine landscapes ranging from the mountains, lowland forests, floodplains and the tropical islands. It is on this premises that KOPEL was set up in Batu Puteh Community to develop the poor and isolated indigenous rural areas with ecological upset, to reverse the losses, to capitalize on ancient indigenous traditional knowledge and culture. The creation of homestay in Batu Puteh fondly called Mesowalai Homestay that volunteers stay with a local host family helps provide volunteers with a fun and added cultural experience with KOPEL-MESCOT. 4. Forecast The rapid increase in the capacity of computers to store information has generated an abundance of data across all types of industries. For example, Athanasopoulos et al. (2009) generated forecasts for 117 tourism demand series (including Australian domestic tourism only), disaggregated only by elected geographical areas. In total, Tourism Australia generates forecasts for thousands of series every quarter when considering inbound, outbound and domestic travel, as well as numerous levels of disaggregation such as geographical regions, purpose of travel and so on. The under listed techniques have been applied in various field of study by various scholars and researchers: Allen and Fildes (2001) found that models with exogenous variables forecast better than extrapolating methods when ex post forecasts are used for the regressors. Athanasopoulos &Vahid (2008) also carried out study in macroeconomic. A surprising result from their study is that the forecasting performances of causal models seem to improve when using ex ante, rather than ex post, forecasts. In the tourism literature, despite strong warnings about its limitations ( Hyndman and Koehler, 2006), the MAPE remains the most commonly used forecast error measure among both academics and practitioners (see Fildes &Goodwin, 2007), and the tourism forecasting literature is no exception ( Li et al., 2005; Song & Li, 2008). The MASE 26
  • 4. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 (mean absolute scaled error), that was proposed by Hyndman and Koehler (2006 ).Hence, accurate forecasting procedures have become a necessity in order to take advantage of such a plethora of information and as forecasting is the ability to project into future which is uncertain. Many studies have used different forecasting techniques to forecast tourist arrival Song, et-al, 2003; Kim et-al, 2008; Song & Li, 2008, Athanasopoulos et-al, 2009; Fildes et al 2010). This study adopts the regression approach to forecast tourist arrivals in Mesowalai Homestay. The data comprise of tourist arrival from the year 2000 to 2010, and this was equally used for building the tourist arrival model and year 2006 to 2010 was used to compare the forecast. Figure 2 shows the number of non-volunteer and volunteer tourist arrivals in Bar chart. In forecasting the model, least squares approach was adopted with the parameters (a) and (b) estimated as follows: The required sums of squares are: N =11, , , and From these parameter estimates are obtained as: a=1123.55 and n b=233.2 and the fitted linear regression line is: The table 1 illustrates the actual and forecast values of Tourist arrivals in Mesowalia Homestay 5. Discussion and Results The homestay fitted linear regression, line Y =1123.55+233.2X. From this, we deduced that there is an increase of tourist arrivals to the homestay of 233.2 annually while tourist peak to the homestay is put at 1123.55 annually. This means that if each tourist arrives the homestay with an income of RM1000 then annually this will amount to RM11235.5 and for the forecasted 10years period the homestay community will make expected or projected revenue of RM11, 235,500. The chart of actual and forecasted values of tourist arrival is as shown in figure 3. 6. Recommendations and Conclusion Based on the results of this study, it is recommended that a social marketing campaign be implemented to increase residents’ awareness, tourism knowledge and expected number of tourist arrivals to their community coupled with economic benefits, and such a campaign should focus on economic advantages, knowledge gainable and general physical development . One way to offer additional information to the residents’ awareness on volutourism would be to add to the existing website the positive impacts of tourist’s arrival forecast. Others are to configure in to the website the impact of tourism industry’s to the local economy, and community services that are partially funded by tourists spending, The use of mass media, promo and exhibition is also recommended so as to motivate tourist to revisit as well as updating the images in order to intensify positive feeling towards the homestay because the whole world is now global village with various networks of communication and internet. Conclusively, the prompt maintenance and the provision of necessary facilities in the Mesowalai homestay coupled with tourism potential like wildlife conservation, sea turtles, flora, fauna, proboscis monkey, outstanding stretch coral reef and the establishment of eco- nature destination. The combination of all these parameters i.e. the culture, nature and adventures fascinate potential tourist to explore the homestay. The forecast will be of greater assistance to authenticate the homestay developmental strategies so as to strengthen the attractiveness of the Mesowalai homestay which will in turn boost the economic and social activities of the residents and adjourning communities. The researcher buttressed Lankford and Howard (1994) that, “Educational programs, public meetings, and workshops can be undertaken at the local level to help residents understand the essence of tourist arrival forecast in tourism industry and its impacts. References Allen, P. G. and Fildes, R. (2001). Econometric forecasting. In Armstrong, J., editor, Principles Of Forecasting: A Handbook for Researchers and Practitioners, pages 271–327. Kluwer Academic Publishing, Boston. Andereck, K.L., Valentine, K.M., Knopf, R.C., & Vogt, C.A. (2005). Residents' perceptions of community tourism impacts. Annals of Tourism Research, 32(4),1056-1076 doi:10.1016 /j.annals.2005.03.001 27
  • 5. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 Andreasen, A. R. (1994). Social marketing: Its definition and domain. Journal of PublicPolicy & Marketing, 13(1), 108-114. Athanasopoulos, G. and Vahid, F. (2008). VARMA versus VAR for macroeconomic forecasting. Journal of Business and Economic Statistics, 26:237–252. Athanasopoulos, G., Ahmed, R. A., and Hyndman, R. J. (2009). Hierarchical forecasts for Australian domestic tourism. International Journal of Forecasting, 25:146–166. Awangku, H.B.P.B.(2009). Success of ecotourism sites and local community participation in Sabah. Doctor of Philosophy, Victoria University of Wellington, New Zealand Benson A, &Henderson S. 2011. A strategic analysis of volunteer tourism organisations. Service industries Journal 31(3): 405–424. Broad, S, & Jenkins, J. (2008). Gibbons in their midst? Conservation volunteers’ motivations at the Gibbon Rehabilitation Project, Phuket, Thailand. In K. D. Lyons & S. Wearing (Eds.),Journeys of discovery in volunteer tourism: International case study perspectives (pp. 72) Wallinford, UK: CABI. Callanan, M., & Thomas, S. (2005). Volunteer tourism: Deconstructing volunteer activities within a dynamic environment. In M. Novelli (Ed.), Niche tourism: Contemporary issues, trends and cases (pp. 183– 200). Oxford and Burlington, MA: Elsevier Butterworth -Heinemann. Candy &Ada, (2011), Motivations and perceived values of volunteer tourism in Hong Kong’ Journal of Elsevier,tourism mgt . Choi, H. C. & Sirakaya, E. (2006). Sustainability indicators for managing community tourism. Tourism Management, 27,1274-1289doi:10.1016/j.tourman.2005.05.018 Fildes, R. and Goodwin, P. (2007). Against your better judgement? How organisations can improve their use of management judgment in forecasting. Interfaces, 37:570–576. Fildes, R., Wei, Y., and Ismail, S. (2010). Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures. International Journal of forecasting, Goeldner, C. R., and Ritchie, B. J. R. (2006). Tourism: Principles, Practices, Philosophies (10th ed.). Hoboken, NJ:John Wiley& Sons Inc. Hairul, N.I & Hafizul R. I(2011) Developing Alternative ‘Operational Business Model’ for Rural Revitalization :A Green Economy Approach of Volunteer Tourism, APSA congress. Hamzah,A.M. (1986). Policy directions and programmes on tourism in Malaysia- with special reference to Sabah. Paper presented at the conference on tourism potential in Sabah: Land below the wind, 24- 25 october, Hyatt Kinabalu international, Kata kinabalu, Hyndman, R. J., Koehler, A. B., Ord, J. K., and Snyder, R. D. (2006). Prediction intervals for exponential smoothing using two new classes of state space models. Journal of Forecasting, 24:17–37. International Institute for Peace Through Tourism (2006). On WWW at http://www. iipt.org/. Accessed 13.10.11 Jurowski, C. A., & Gursoy D. (2004). Distance effects on residents’ attitudes toward tourism. Annals of Tourism Research, 31(2), 296-312 Kim, J. H., Song, H.,Wong, K., Athanasopoulos, G., and Liu, S. (2008). Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals. Working Paper 11/08, Dept of Econometrics & Business Statistics,Monash University. Lankford, S. V., & Howard, D. R. (1994). Developing a tourism impact attitude scale. Annals of Tourism Research, 21, 121-139. Latkova, P. (2008). An examination of factors predicting residents’ support for tourism 105m development (Doctoral dissertation, Michigan State University). Li, G., Wong, K., Song, H., and Witt, S. (2005). Tourism demand forecasting: A time varying parameter error correction model. Journal of Travel Research, 45:175–185 28
  • 6. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 Lyons, K. D., & Wearing, S. (2008). Volunteer tourism as alternative tourism: Journeys beyond otherness. In K. D. Lyons & S. Wearing (Eds.), Journeys of discovery in volunteer tourism: International case study perspectives (pp. 3–11). Wallingford, UK: . McGehee, N. G., & Santos, C. A. (2005). Social change, discourse and volunteer tourism. Annals of Tourism Research, 32(3), 760–779. McIntosh, A.J. and Zahra, A. (2008). Journeys for experience: the experience of volunteer tourist in indigenous community in a developed nation- a case study of Zealand. In K. D. Lyons & S. Wearing (Eds.) Journeys of discovery in volunteer tourism: International case study perspectives (pp 3– 11).Wallingford,UK: CABI. Perdue, R. R., Long, P. T., & Allen, L. R. (1987). Rural resident tourism perceptions and attitudes. Annals of Tourism Research, 14(3), 420-429. Soderman, N., & Snead, S. (2008). Opening the gap: The motivation of gap year travellers to volunteer in Latin America. In K. D. Lyons & S. Wearing (Eds.), Journeys of discovery in volunteer tourism: International case study perspectives (pp. 118–129).Wallingford, UK: CABI. Song, H. and Li, G. (2008). Tourism demand modeling and forecasting – A review of recent literature. Tourism Management, 29:203–220. Song, H. & Witt, S. F. (2003). Tourism forecasting: The general-to-specific approach. Journal of Travel Research, 42:65–74. Stebbins R.A and Graham, M., (2004), Volunteering as Leisure / Leisure as Volunteering, An International Assessment CABI Publishing, Wallingford. Stoddart, H. and Rogerson, M (2004). Volunteer Tourism: The case of habitat Humanity South Africa, GeoJournal, 60 pp311-318. Um, S., & Crompton, J. L. (1987). Measuring resident’s attachment levels in a host community. Journal of Travel Research, 26(1), 27-29. U.S. Department of State. (2003). Volunteerism in the United States. Washington, DC: U.S. Department of State's Bureau of International Information Programs. Retrieved on October 28, 2011, from http://usinfo.state.gov/usa/volunteer/ Valentine, K.M.,Andereck, K.L., Knopf, R.C., & Vogt, C.A. (2005). Residents' perceptions of community tourism impacts. Annals of Tourism Research, 32(4),1056-1076. doi:10.1016 /j.annals.2005.03.001 Wearing, S. (2001). Volunteer tourism: Experiences that make a difference. Wallingford, UK:CABI.publishing, New York. Wearing, S., (2002), Re- centring the self in Volunteer Tourism, CABI publishing, Oxon. World Travel and Tourism Council (WTTC). (2002) “Corporate Social Leadership in Travel and Tourism”RetrievedDecember3rd,2011from http://www.wttc.org/publications/pdf/CSLREPORT.pdf World Travel and Tourism Council. (2009). Travel and Tourism Economic Impact: Executive Summary. Retrieved from http://www.wttc.org/bin/pdf/temp/exec_summary_2009.html Models & Theories/ Table 1: The actual and forecast values of Tourist arrivals to MesowaliaHomestay Year 2006 07 08 09 10 11 12 13 14 15 16 17 18 Actual 918 1596 2149 2943 1786 Forecast 1356.76 1589.95 1823.15 2056.35 2289.55 2522.75 2755.95 2989.15 3222.35 3455.555 36888.75 3921.55 4155.15 Source: Planning Department, Johor Bahru, 2010 29
  • 7. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 Recreation/leisure Tourism Mass Tourism Eco-Tourism Alternative Tourism Commutourism Responsible Tourism Culture Tourism Productive Tourism Postmodern Tourism Altruistic Tourism Social Tourism Charity Tourism Justice Tourism Moral Tourism Pro-poor Tourism Romantic Tourism Ethical Tourism Mission LIte Tourism Just Tourism Religious Tourism Purposeful Tourism Voluntourism Fig.1 categorizing voluntourism (Wearing 2001) as modified by researcher Fig. 2 the number of non-volunteer and volunteer tourist arrivals in Bar chart. 30
  • 8. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.2, 2012 Fig. 3,The chart of actual and forecasted values of tourist arrival. 31
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