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Open Access
Article
Publication date: 4 May 2020

Dharyll Prince Mariscal Abellana, Donna Marie Canizares Rivero, Ma. Elena Aparente and Aries Rivero

This paper aims to propose a hybrid-forecasting model for long-term tourism demand forecasting. As such, it attempts to model the tourism demand in the Philippines, which is a…

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Abstract

Purpose

This paper aims to propose a hybrid-forecasting model for long-term tourism demand forecasting. As such, it attempts to model the tourism demand in the Philippines, which is a relatively underrepresented area in the literature, despite its tourism sector’s growing economic progress.

Design/methodology/approach

A hybrid support vector regression (SVR) – seasonal autoregressive integrated moving averages (SARIMA) model is proposed to model the seasonal, linear and nonlinear components of the tourism demand in a destination country. The paper further proposes the use of multiple criteria decision-making (MCDM) approaches in selecting the best forecasting model among a set of considered models. As such, a preference ranking organization method for enrichment of evaluations (PROMETHEE) II is used to rank the considered forecasting models.

Findings

The proposed hybrid SVR-SARIMA model is the best performing model among a set of considered models in this paper using performance criteria that evaluate the errors of magnitude, directionality and trend change, of a forecasting model. Moreover, the use of the MCDM approach is found to be a relevant and prospective approach in selecting the best forecasting model among a set of models.

Originality/value

The novelty of this paper lies in several aspects. First, this paper pioneers the demonstration of the SVR-SARIMA model’s capability in forecasting long-term tourism demand. Second, this paper is the first to have proposed and demonstrated the use of an MCDM approach for performing model selection in forecasting. Finally, this paper is one of the very few papers to provide lenses on the current status of Philippine tourism demand.

Details

Journal of Tourism Futures, vol. 7 no. 1
Type: Research Article
ISSN: 2055-5911

Keywords

Open Access
Article
Publication date: 14 August 2023

Noe John Sacramento

This paper investigates how power and narratives among actors relate to the process of agenda-setting and deliberation in the context of climate change loss and damage. The focus…

Abstract

Purpose

This paper investigates how power and narratives among actors relate to the process of agenda-setting and deliberation in the context of climate change loss and damage. The focus is to understand how grassroots voices manifest their concerns on intensifying economic and non-economic impacts of climate change loss and damage which affect them.

Design/methodology/approach

This paper is based on the case of the Southeast Asia climate change loss and damage workshop in Bohol, Philippines in August 2022. It utilizes lesson drawing as a critical approach by thematic analysis in making sense of the data gathered from the perspectives of participant observers and facilitators.

Findings

There are different levels of power and dominant narratives actors in a deliberative process propel in taking a stance over a particular issue towards agenda-setting and policy framing. The power and narratives help actors to maintain and emphasize their position, exercise authority, and to some point, suppress weak voices. Narratives associated with emotions, sentiments, ideologies, and value systems of the grassroots, community leaders, and climate justice movements tend to be devalued by those in a high level of power and authority.

Originality/value

Techno-authoritarian domination explicitly hampers a genuine grassroots involvement in the policy process, especially towards agenda-setting of immediate concerns about climate change loss and damage which affect the public. Critiquing actors’ power and narratives are productive in identifying and propagating the type of deliberative spaces that speak truth to power.

Details

Public Administration and Policy, vol. 26 no. 2
Type: Research Article
ISSN: 1727-2645

Keywords

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