nep-tur New Economics Papers
on Tourism Economics
Issue of 2022‒12‒12
three papers chosen by
Laura Vici
Università di Bologna

  1. Prospects and Challenges for Sustainable Tourism: Evidence from South Asian Countries By Janifar Alam; Quazi Nur Alam; Abu Kalam
  2. Mountains of trouble. Accounting for environmental costs in local benefit-driven tourism development By Endre Kildal Iversen; Kristine Grimsrud; Henrik Lindhjem; Ståle Navrud
  3. Digital Transformation of Nature Tourism By Raul Enrique Rodriguez Luna; Jose Luis Rosenstiehl Martinez

  1. By: Janifar Alam; Quazi Nur Alam; Abu Kalam
    Abstract: Tourism is one of the world's fastest expanding businesses, as well as a significant source of foreign exchange profits and jobs. The research is based on secondary sources. The facts and information were primarily gathered and analyzed from various published papers and articles. The study goals are to illustrate the current scenario of tourism industry in south Asia, classifies the restraints and recommends helpful key developments to achieve sustainable tourism consequently. The study revealed that major challenges of sustainable tourism in south Asian region are lack of infrastructure facilities, modern and sufficient recreation facilities, security and safety, proper training and HR, proper planning from government, marketing and information, product development, tourism awareness, security and safety, and political instability etc. The study also provides some suggestive measures that for the long-term growth of regional tourism, the government should establish and implement policies involving public and private investment and collaboration.
    Date: 2022–11
  2. By: Endre Kildal Iversen; Kristine Grimsrud (Statistics Norway); Henrik Lindhjem; Ståle Navrud
    Abstract: Tourism and recreational home developments generate much of the economic activity at mountain destinations in Norway. At the same time, resulting land use changes pose a severe threat to ecosystem services. Cost-benefit analysis (CBA) is suitable to examine the trade-offs at the heart of many management problems but has been relatively neglected in tourism economics. Other methods, such as local economic impact analysis, are much more common. This study combines stated preference, economic impact analysis, and geospatial analysis in a comprehensive CBA framework. The CBA is performed both at the local and regional levels for small (S), medium (M), and large (L) developments in the Norefjell-Reinsjøfjell mountain area in Norway. The L-development is the preferred tourism and land management locally as market benefits from property sales and construction outweigh the local nonmarket externalities. However, considering the additional market and nonmarket impacts outside the destination, the S-development generates higher total welfare benefits. We conclude that to achieve socially optimal tourism development, nonmarket externalities inside and outside of the destination should be accounted for. The geospatial analysis demonstrates the geographical distribution of externalities.
    Keywords: tourism development; ecosystem services; cost-benefit analysis; stated preference; willingness to pay
    JEL: Q51 Q57
    Date: 2022–09
  3. By: Raul Enrique Rodriguez Luna; Jose Luis Rosenstiehl Martinez
    Abstract: The purpose of this article is to explore the digital behavior of nature tourism SMEs in the department of Magdalena-Colombia, hereinafter referred to as the region. In this sense, the concept of endogenization as an evolutionary mechanism refers to the application of the discrete choice model as an engine of analysis for the variables to be studied within the model. The type of study was quantitative, of correlational level, the sample was 386 agents of the tourism chain; a survey-type instrument with five factors and a Likert- type scale was used for data collection. For the extraction of the factors, a confirmatory factor analysis was used, using structural equations, followed by a discrete choice model and then the analysis of the results. Among the main findings are that the SMEs in the tourism chain that tried to incorporate Big Data activities in the decision-making processes, have greater chances of success in the digital transformation, in addition, statistical evidence was found that the training of staff in Data Science, contributes significantly to the marketing and commercialization processes within the SME in this region.
    Date: 2022–11

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