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This study aims to explore the role of cultural distance, economic integration, price competitiveness and substitution prices for tourism arrivals between 10 Southeast Asian (ASEAN) countries and 22 other origin countries from 2007 to 2019.

A panel-data gravity model is applied to estimate tourism demand in the ASEAN region. An index of cultural distance (time-variant) is introduced to examine the role of cultural differences across bilateral partners. Moreover, relative prices and substitution prices are introduced to the gravity equation to estimate price elasticities. Finally, this study tested whether the ASEAN free trade agreements (FTAs) encourage intraregional tourism arrivals. Two-panel regression approaches are used to test the model.

Cultural distance positively affects tourism inflows, boosting foreign arrivals. Income and price elasticities are important determinants in the demand model for ASEAN. A gain in price competitiveness versus alternative destinations can lead to substitution in destination choice. Meanwhile, geographic distance has a negative impact on arrivals, suggesting that connectivity and transportation are key in boosting tourism inflows in ASEAN. A decline in the disposable incomes of tourists caused by the COVID-19 pandemic may reduce tourism arrivals in the region. However, when currencies in ASEAN weaken, and consumer prices are lower than in other destinations, arrivals in ASEAN will be stimulated. FTAs have facilitated travel intra-ASEAN, which is an advantage over the extra-ASEAN sector.

Cultural heritage could be used in tourism promotion as ASEAN can attract tourists seeking novelty and new excitements. ASEAN countries could create complementary destinations and jointly promote cultural heritage to accelerate the region’s recovery. The depreciation of currencies in ASEAN and the gain in relative price competitiveness could attract more tourist visits, helping the region reestablish tourism activities in a postpandemic economy.

The model accounts for three key variables in the gravity approach: cultural distance in ASEAN tourism inflows, the effects of the ASEAN economic community on intraregional tourism, and relative and alternative price competitiveness. This study enriches the literature about tourism-demand approaches in modeling tourism arrivals.

The purpose of this study is designed to achieve the learning process in producing studies involving economic issues and scenarios in business management in Malaysia. In addition, this study will provide exposure to the integration of managerial skills by using both microeconomics and macroeconomics concepts and theories to aid decision-making in a business environment.

The research method comprised qualitative methodology of literature review, case study and quantitative methodology of multiple linear regression (MLR). In this case, seven microeconomics and macroeconomics factors which are believed to significantly affect house price index (HPI) are taken into consideration which includes gross domestic product, consumer price index (CPI), government tax and subsidy on housing, overnight policy rate, unemployment rate (UNEMP), the median income (INC) and cost of production index.

This research has resulted in three significant factors affecting HPI from MLR, which include CPI, UNEMP and INC where the increase of these factors will cause a high increment of HPI. The other four factors are not significant.

Malaysia has been facing the stagnancy in house market these recent years due to issues such as massive oversupply, impacting Malaysia’s economy specifically focusing on domestic direct investment. To avoid oversupply issues, the vitality of future house demand and pricing forecast should be comprehended by involved bodies for more effective planning for the house development industry. To make a better and bigger impact, this research is intended to analyse the microeconomic and macroeconomic factors affecting the HPI to better understand the significance of each of these factors to the changes of HPI to resolve these economic issues.

This paper aims to examine whether Indonesian cross-border trade responds asymmetrically to exchange rate volatility (ERV).

An exponential generalized autorgressive conditional heteroscedasticity model is applied to estimate the ERV of Indonesia and ten main trade partners using quarterly data from 2006 to 2020. A nonlinear autoregressive distributed lag estimation is applied to estimate the impact of ERV on cross-border trade. Impacts from the global financial crisis (GFC) of 2008 and the COVID-19 pandemic are covered. Dynamic panel data is used for the robustness test.

In the short-run, ERV significantly affects exports to most of the top partners (positively, negatively or both). In the long run, asymmetric effects occur in Indonesia’s exports to five top destinations. The weakening of the Indonesian Rupiah mainly supports exports in the short term. Imports from top partners are also affected by ERV in both the short run and, to a lesser extent, in the long run. Both the GFC and the COVID-19 pandemic reduced trade: for most cases, in the short run. The dynamic panel model suggests that ERV has asymmetric impact on cross-border trade in the long run.

Exchange rate strategies need to avoid a single-side policy approach and, instead, account for exporter and importer differences in risk behaviour and an asymmetric response to ERV in trade. Policymakers need to consider policies that stabilise the currency.

This study provides evidence that cross-border trade can react asymmetrically to the exchange rate uncertainty and that the impacts of real ERV are asymmetric as well. The authors also apply a dynamic panel that signals that ERV matters in the long run for Indonesian trade with top partners.

This study aims to identify extensive and intensive margins in exports and imports and examine whether incoming foreign direct investments (FDI) benefit local firms in Indonesia through the export and import channels.

Using Heckman’s two-step selection model to consider the potential of bias of self-selection in export–import participation, this study uses the firm-level data from 2008 to 2015 collected from Statistik Industri and proximate both export and import spillovers.

The authors found that internal factors are critical for a firm to be an exporter, signaling self-selection in exports and imports. Spillover effects from FDI (spatial properties) support export but lower import propensity and intensity.

This study implies that improving human capital (absorptive capacity) is needed to accelerate export intensity and policies supporting FDI inflows in complementary sectors (noncompeting industries) can increase export propensity and intensity and reduce imports.

This study contributes to the literature in several ways. First, the proposed export spillovers model that accounts for impacts through a demonstration channel is applied to the import channel. Moreover, this study extends the model developed by Franco and Sasidharan (2010) and Yasin et al. (2022) by incorporating spatial spillover effects at the provincial level. Subsequently, the authors test whether a firm’s technological intensity determines export–import propensity and intensity. This can indicate whether specific sectors are more likely to participate in international activities based on their use of technology.