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Global Review of Tourism and Social Sciences
Published by Yayasan Galih Pelopor Pendidikan (Galih Foundation)
ISSN : 30641780     EISSN : 30641780     DOI : https://doi.org/10.53893/grtss.v1i1
Core Subject : Economy, Science, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences
The Global Review of Tourism and Social Sciences (3064-1780) is a peer-reviewed, interdisciplinary journal committed to advancing research that contributes to the achievement of the United Nations Sustainable Development Goals (SDGs) and promotes inclusive development across global and local contexts. The journal welcomes high-quality original research from diverse fields — including tourism and hospitality, business and management, economics and finance, and cultural studies — as long as the work provides meaningful insights into how these disciplines can help build a more inclusive, equitable, and sustainable future. We are especially interested in topics such as: Sustainable tourism and responsible travel Inclusive business models and ethical leadership Financial strategies that promote equity and development Cultural heritage, identity, and social cohesion Policy and innovation for sustainable economic growth By emphasizing the intersection of scholarly inquiry and real-world impact, the journal aims to support evidence-based dialogue among academics, practitioners, and policymakers worldwide. Published three times a year (February, June, and October), the journal fosters cross-disciplinary understanding of today’s most urgent development challenges.
Arjuna Subject : Umum - Umum
Articles 53 Documents
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Environmental Performance, Working Capital Efficiency, and Bankruptcy Risk: Evidence from Indonesian Listed Firms Ihsan Ro'is; Benjamin Chadwick; Tz-Li Wang
Global Review of Tourism and Social Sciences Vol. 2 No. 3 (2026): Global Review of Tourism and Social Sciences
Publisher : Yayasan Ghalih Pelopor Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/grtss.v2i3.523

Abstract

Corporate bankruptcy remains a major concern in Indonesia, where firms face challenges not only from financial fragility but also from regulatory compliance and operational inefficiencies. Traditional bankruptcy prediction models largely emphasise financial ratios, overlooking sustainability performance and liquidity management. This study examines the effect of environmental performance, measured by PROPER ratings, and working capital efficiency, measured by the cash conversion cycle, on the bankruptcy risk of non-financial firms listed on the Indonesia Stock Exchange between 2011 and 2023. Panel regression with firm and year fixed effects is employed. Bankruptcy risk is assessed through Altman Z-scores and validated with Ohlson O-scores. The results show that firms with higher PROPER ratings have significantly lower bankruptcy risk, while longer cash conversion cycles increase the probability of distress. The effects remain robust across alternative measures and industry sub-samples. Furthermore, environmental performance moderates the negative impact of inefficient working capital management. This study is among the first to integrate environmental ratings (PROPER) into bankruptcy prediction models in Indonesia and demonstrates that sustainability practices mitigate the risks associated with poor working capital management.
Tourism Inflows and Renewable Electricity Transition in Southeast and East Asian Economies: Within-Country Evidence, 2000–2019 Husni Muhamad Rifqi; Yahya Fikri; Ahmed Taha Elmekawy
Global Review of Tourism and Social Sciences Vol. 2 No. 3 (2026): Global Review of Tourism and Social Sciences
Publisher : Yayasan Ghalih Pelopor Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/grtss.v2i3.526

Abstract

Tourism growth is often assumed to accelerate renewable-energy adoption, yet observed relationships may reflect persistent differences among countries rather than changes within them. This study tests whether international tourist arrivals predict the renewable share of electricity generation in a balanced panel of Cambodia, China, Lao PDR, Malaysia, Myanmar, the Philippines, and Singapore from 2000 to 2019 (N = 140). Pooled correlations are compared with two-way country and year fixed-effects regressions controlling for GDP per capita and population. The pooled association is negative (r = −0.562), largely reflecting contrasts between hydropower-rich, lower-tourism economies and tourism-intensive economies with limited domestic renewable generation. After fixed effects are introduced, tourism coefficients are statistically insignificant across linear, extended, and non-linear specifications. The results indicate that annual tourism growth does not systematically alter national electricity composition; renewable transition appears more closely tied to structural endowment, energy policy, and investment conditions
Is Google Trends a Leading Indicator for Tourism Demand? Evidence from Malaysia, 2014–2024 Md. Akramul Bari; Ali Abdi Hassan
Global Review of Tourism and Social Sciences Vol. 2 No. 3 (2026): Global Review of Tourism and Social Sciences
Publisher : Yayasan Ghalih Pelopor Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/grtss.v2i3.527

Abstract

Google Trends search-interest data are widely reported to improve tourism-demand forecasts, but most evidence relies on monthly or weekly series. This study examines whether an annual composite Google Trends Index (GTI), constructed from four Malaysia-related English-language queries, is associated with and adds incremental predictive information for Malaysian international tourist arrivals from 2014 to 2024. The full-sample contemporaneous correlation is very high (r = 0.952; r² ≈ 0.906), but the association reverses in the small pre-pandemic window (2015–2019; r = −0.902), while the one-year-lagged correlation is near zero (r = −0.127, N = 4). In nested annual regressions, lagged GTI is not statistically significant and is affected by substantial multicollinearity. A leave-one-year-out sensitivity analysis also yields higher RMSE and MAE for the GTI-augmented model than for the AR(1) benchmark. Because this validation is not temporally ordered and the sample is extremely small, it should not be interpreted as definitive prospective forecasting evidence. Instead, the combined findings indicate that the strong pandemic-inclusive correlation is unstable and likely reflects shared collapse-and-recovery dynamics. Claims about routine forecasting value for Malaysia therefore require replication with a longer monthly series, source-market-sensitive search measures, and rolling-origin validation.

Page 6 of 6 | Total Record : 53

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