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Journal : Indatu Journal of Management and Accounting

Do Business Conditions Drive FDI Inflows? A Decomposition Analysis Using B-READY Indicators Hardi, Irsan; Çoban, Mustafa Necati; Maulana, Ar Razy Ridha; Idroes, Ghalieb Mutig; Mardayanti, Ulfa
Indatu Journal of Management and Accounting Vol. 3 No. 1 (2025): June 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v3i1.303

Abstract

Foreign direct investment (FDI) is essential for economic development and business sustainability, and understanding the business conditions that attract it remains a key policy concern. This study adopts a decomposition approach by examining the impact of various B-READY indicators on FDI inflows in separate models, using cross-sectional data from 45 countries. To ensure methodological rigor, it applies three Robust Least Squares (RLS) estimation techniques: M-type, S-type, and MM-type. The findings reveal that six out of ten B-READY indicators exert a positive and statistically significant influence on FDI inflows. The significant B-READY indicators, such as business insolvency, dispute resolution, international trade, labor, market competition, and taxation, highlight critical factors that businesses consider when entering or expanding in foreign markets. These insights offer valuable guidance and practical implications not only for policymakers seeking to strengthen national investment environments, but also for businesses evaluating market readiness and investment risks in foreign economies.
The Impact of Consumer Confidence on Tourism: Evidence from Indonesia Maulana, Ar Razy Ridha; Dharmawan, Hendra
Indatu Journal of Management and Accounting Vol. 3 No. 1 (2025): June 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v3i1.315

Abstract

Understanding the drivers of tourism demand is crucial not only for economic policy but also for business strategy in tourism-related industries. This study investigates the impact of consumer confidence on tourism arrivals in Indonesia, with a specific focus on both short-term and long-term effects. Employing the Autoregressive Distributed Lag (ARDL) model, complemented by robustness checks using FMOLS, DOLS, and CCR methods over the period 2008–2023, the empirical findings reveal that the Consumer Confidence Index (CCI) has a strong, positive, and statistically significant effect on the number of tourist visits, particularly in the long term. The results remain consistent across multiple estimation techniques, confirming the robustness and reliability of the evidence. These findings highlight the strategic importance of consumer sentiment as a forward-looking behavioral indicator in tourism demand modeling. For policymakers and business leaders in the tourism sector, the study underscores the value of monitoring public economic sentiment to anticipate demand shifts and inform responsive strategies.