Topic Assessing the competitive advantages of tourism potentials in Tuy Hoa city, Phu Yen province - Nguyen Hien Than

This paper presents a Quantified SWOT (Strengths, Weaknesses, Opportunities
and Threats) analytical method and an analytical hierarchy process method
which provides more detailed and quantified information on tourism potential in
Tuy Hoa city. Quantified SWOT analysis was used to assess the competing
strength of Tuy Hoa’s tourism potential with other places. The results of the study
presented that Tuy Hoa city has many advantages of beautiful natural landscapes,
nature, rivers and mountains. The results of the comparing value of internal and
external factors of Tuy Hoa’s tourism potential indicated it under high
competitive pressure from neighbor destinations such as Phan Thiet, Hue, Nha
Trang and Da Nang. Tuy Hoa’s tourism potential was lower than that of neighbor
cities but it has more attractive tourism features. 
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  1. Thu Dau Mot University Journal of Science - Volume 2 - Issue 2-2020 reduction. Environment and tourism contribute very significant role to the improvement of each other. Without appropriate management of environment, there is no scope of tourism while in other hand, the revenue generated from tourism assists in the good protection of the environment. Therefore, tourism and environment are interconnected playing a great position for the sustainable development of the region (Ramesh Neupane, Anup, & Ramesh Raj Pant, 2013). Tourism potential is extensively used and acknowledged term in tourism field. Tourism potential mentions to the capability of a destination to interest and attract tourists with concerns about convenience, landscape quality, understanding of resources, and so on (Libo Yan, Bo Wendy Gao, & Meng Zhang, 2017). The methodologies applied in many previous researches were different. Abel González-Ramiro, Gil Gonçalves, Alonso Sánchez-Ríos, and Jin Su Jeong (2016) used volunteered geographic information and gis-based multi-criteria approach for assessing the potential of rural tourism, Ballis, John Paravantis, and Moschovou (2018) applied regression model, Mehmet Cetin, Ilknur Zeren, Hakan Sevik, Cansel Cakir, and Huseyin Akpinar (2018) analyzed and surveyed the most important feature of the Yesilyuva Nature Park by SWOT. There is a practice to assess tourism potential and quantify all the features or characteristics towards a single value using numerous tools of Multi-Criteria Decision Methods (MCDM) such as SWOT analysis. The SWOT analysis is broadly applied in planned decision support for business management. Recent growths have improved the usability of SWOT by integrating quantitative approaches, such as the analytic hierarchy process (AHP) (Rocco Scolozzi, Uta Schirpke, Elisa Morri, Dalia D'Amato, & Riccardo Santolini, 2014). In Vietnam, a variety of the researches have conducted to evaluate Vietnam’s tourism potential. However, almost studies were used to applying quantitative methods in many reports. In this study, there was integrated quantified SWOT and Analytic Hierarchy Process to assess the tourism potential of Tuy Hoa city. Tuy Hoa is a coastal city and the political, economic, cultural and scientific center of Phu Yen province, Vietnam. Tuy Hoa city has an area of 107 km², located within Tuy An district in the North, Phu Hoa district in the West, Dong Hoa district in the South and the sea in the East with the entire coast length of over 30 km, about 560 km north of Ho Chi Minh City. The topography of the city is mainly alluvial plain due to the downstream of Ba River (another name is Da Rang river). There are two peaks of Chop Chai and Nhan Mount in the centeral city. Besides, Da Rang bridge - the longest bridge in the Central is located on Highway 1 connecting the city center with the southern provinces. Tuy Hoa beach is a stretching, poetic beach with white sand, a famous tourist destination of the city. As a place close to the sea and adjacent to the delta, Tuy Hoa city‘s climate is generally located in the monsoon tropics, but it has its own 203
  2. Thu Dau Mot University Journal of Science - Volume 2 - Issue 2-2020 Figure 1. Flowchart of Quantified SWOT analysis TABLE 1. The rating value by Saaty in pairwise comparison (Damjan Krajnc & Peter Glavic, 2008). Comparative value of Saaty Definition of judgment 1 Equal importance 3 Week dominance 5 Strong dominance 7 Demonstrated dominance 9 Absolute dominance 2, 4, 6, 8 Intermediate values The evaluation results are showed in the relationship matrix of the factors with each other. A = , Equation 1 205
  3. Thu Dau Mot University Journal of Science - Volume 2 - Issue 2-2020 pij r,ij  j Equation 3 max pij j The lower element is the better. min pij j Equation 4 r,ij  j pij With the standard of median (the average is better) Equation 5 min pij ,p 0 rij max pij ,p 0 1 n Where: pp0  ij n j1 Step 6: Calculating the internal and external scores of objects compared separately and determined the rating value. Rating values could be determined by two approaches: 1) taking the average; 2) taking the rank of the object as the rank value. In this study, we determined the classification value according to the first approach. Step 7: Calculating and comparing the aggregate value of the internal and external assessments and show them on the chart of quadrants. First, the internal and external points of the comparable objects were added and then subtracted from the rating value. The final value was the aggregate value of the object compared in the QSWOT analysis matrix. The aggregate value obtained in the range of -1 to +1. Subjects possess opportunities and strengths when the aggregate value was greater than the rating value, whereas the object was relatively weak points and challenges when the aggregate value was smaller than the rating value. ICj = Ij - IB j = 1,2, ,n Equation 6 ECj = Ej – EB j = 1,2, ,n Where: ICj: value of the coordinates for internal evaluating of object j Ij: score of internal evaluating of object j IB: classification value for internal evaluating ECj: value of the coordinates for external evaluating of object j Ej: score of external evaluating of object j 207
  4. Thu Dau Mot University Journal of Science - Volume 2 - Issue 2-2020 Attracting the attention of many investors Transportation system to key tourist sites and destinations has been built 3.2 QSWOT matrix for analyzing the competitive advantage of tourism in Tuy Hoa City and surrounding areas Based on the SWOT matrix and tourism information of nearby areas, it was possible to determine factors used to compare the tourism potential between Tuy Hoa city and surrounding areas. The vicinities having high competitiveness with Tuy Hoa city accompanied by Quy Nhon city, Hue city, Da Nang city, Nha Trang city and Phan Thiet city Table 3 to Table 5. TABLE 3. The internal factors impacting on the development of tourism potential Subjects Factors Unit Code Indicator type Advantage of diverse marine resources Scale I1 + Travel Many beautiful natural landscapes Scale I2 + resources Many historical cultural relics, landscapes Scale I3 + Attractive tourism spot Scale I4 + Natural Advantage of geographical location, traffic Scale I5 + condition Warm climate throughout the year 0C I6 +/- Serving quality Scale I7 + Tourism Tourism products are not plentiful Scale I8 - effectiveness Tour guide qualifications are poor, not enthusiastic yet Scale I9 - Number of accommodation facilities and tourism Facility Infrastructure services I10 + Rate of urban water supply % I11 + Tourism advertise is focused Scale I12 + Cheap goods Scale I13 + Tourism Human attitude Scale I14 + operation and Annoyed by street vendors Scale I15 - development The habit of indiscriminate littering of Vietnamese Scale people I16 - Linkage among sectors Scale I18 + 209
  5. Thu Dau Mot University Journal of Science - Volume 2 - Issue 2-2020 Figure 2. Internal and external evaluating factors in Tuy Hoa city and other cities The results of the QSWOT analysis showed that Tuy Hoa was advantages of internal factors comparing to neighboring localities such as Quy Nhon. However, compared to other localities such as Nha Trang, Phan Thiet, Hue, and Da Nang, the internal factors of Tuy Hoa was lower scores. Although the internal factors of Tuy Hoa were higher than Quy Nhon, but he external factors (opportunities and challenges) of Tuy Hoa were lower than Quy Nhon and other localities. This showed that Tuy Hoa city was the potential of tourism, but was not grasped and overcome challenges. For more specifically, we could saw at the point histogram of the evaluating coordinate value (Figure 3). Figure 3. Distribution of internal and external factors of competitive advantages of tourism in Tuy Hoa city and surrounding spots 211
  6. Thu Dau Mot University Journal of Science - Volume 2 - Issue 2-2020 Sea and cultural tourism is one of the strong fields in Tuy Hoa city. The result of the study indicated that although Tuy Hoa city has a variety of the great potential for tourism development, it has not exploited and taken advantage of this strength. The results of QSWOT analysis showed that Tuy Hoa city still has many barriers due to internal weaknesses and external threat factors of tourism potential. This is the restriction that the tourism industry of Tuy Hoa city needs to be overcome to increase the tourism competitiveness with the neighbor regions. In this work, we were quantified internal and external factors affected to tourism development of Tuy Hoa city but we did not assess the tourist values of Tuy Hoa city. This was the limits of our study. Recommendation: Tuy Hoa should promote investment policies to attract tourism development and needs to focus on developing resort tourist in combination with cultural tourism. In this study, we were focused on the tourism potential of Tuy Hoa city, the landscape and exploration value of Tuy Hoa city weren’t mentioned. The landscape and exploitation value assessment of Tuy Hoa should be conducted in the future to clarify the quantitative value of the tourism potential in Tuy Hoa city. References A Ballis, John A Paravantis, & T Moschovou (2018). Assessing the tourism potential of the Greek islands of South Aegean. Paper presented at the 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). Abdulla Al Mamun, & Soumen Mitra (2012). A methodology for assessing tourism potential: case study Murshidabad District, West Bengal, India. International Journal of Scientific and Research Publications, 2(9), 1-8. Abel González-Ramiro, Gil Gonçalves, Alonso Sánchez-Ríos, & Jin Su Jeong (2016). Using a VGI and GIS-based multicriteria approach for assessing the potential of rural tourism in Extremadura (Spain). Journal Sustainability, 8(11), 1144. Damjan Krajnc, & Peter Glavic (2008). Fuzzy AHP assessment of water management plans. Water Resources Management, 22(7), 877–894. doi: 10.1007/s11269-007-9197-5 Dijana Oreski (2012). Strategy development by using SWOT-AHP. Tem Journal, 1(4), 283-291. General Statistics Office (2017). Results of tourist expenditure survey in the period 2003 - 2015 (Vol. 1). Ha Noi: Statistical Publishing House. Hsu-Hsi Chang, & Wen-Chih Huang (2006). Application of a quantification SWOT analytical method. Mathematical and Computer Modelling, 43(1-2), 158-169. Keivan Saeb, Razieh Jafari Hajati, & Shiva Rezai (2012). An Investigation into Eco-tourism Potential of the Alamut Region of Iran using SWOT Analysis Model. Ecologia Balkanica, 4(1). Libo Yan, Bo Wendy Gao, & Meng Zhang (2017). A mathematical model for tourism potential assessment. Tourism Management, 63, 355-365. 213