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This study aims to determine the export price pass-through elasticity, specifically for Indian exports. It employs static and dynamic panel data techniques to estimate these elasticities. Notably, the pass-through effect is more significant in the long term compared to the short term. The dynamic panel analysis, considering broader economic factors, identifies trade openness and global demand as statistically significant in explaining export price variations. Additionally, the study reveals that the response of export prices to exchange rate changes depends on the nature of those changes, with depreciation having a lesser impact than appreciation. Furthermore, this chapter emphasizes the importance of analyzing these effects at the product level for a comprehensive understanding of the underlying mechanisms. The implications of these findings underscore the crucial role of exchange rates as a policy tool for promoting exports and economic growth, as well as their potential in reducing current account deficits.

As the Philippines enters into the era of the “next normal,” that is, from the pandemic era called the “new normal,” we look into how the Philippines' state of tourism and built environment sectors. We also revisit its situation having the “longest lockdown in the world” and look into iterations of socioeconomic models, business platforms, and other elements that lead to the dream of a postpandemic sustainable tourism industry. In this inquiry, we highlight the importance of elements of the built environment, both at the macroeconomic level and at the micro units of business, civil society, and the tourism sector at large. While there has been a substantive discussion on the nexus of the tourism and built environment sectors, little has been devoted to the challenges these intertwined sectors faced during the COVID-19 pandemic. We suggest complementation of practices from the macroscale to the microlevel tourism and built environment sectors, and vice-versa, which will ensure the full complementation of the sectors. These proposals are in full contextualization of the objective toward the postpandemic continued recovery, growth, and sustainability, from the local, national, and the regional economy of Southeast Asia, and also to various parts of the world.

There is a need for research examining how governments and firms responded to the coronavirus disease (COVID-19) pandemic. This study investigates the interdependence between governments and innovative small and medium-sized enterprises (SMEs) during the pandemic in relation to the dynamic capabilities and resource dependence theories.

We use World Bank survey data collected immediately before and after the COVID-19 outbreak and a generalized structural equation model to examine the mediating role of government support in the relationship between firm innovation, resilience and survival.

Innovative SMEs exhibited higher resilience and a better chance of survival during the pandemic, partly due to attracting more government support.

This study offers a novel understanding of the government’s role in supporting innovative SMEs during the pandemic. The findings have implications for how government support policies can limit the deadweight effect and the substitution effect.

The current study immerses itself in the realm of diversification prospects within a select group of preeminent global stock exchanges. Specifically, the study casts its discerning gaze upon the financial hubs of the United States, Hong Kong, Germany, France, Amsterdam and India. In this expansive vista of international financial markets, the present analytical study aims to unravel the multifaceted opportunities that lie therein for astute portfolio management and strategic investment decisions.

The study encompasses daily time series data spanning from 2019 to 2022. To assess the interconnectedness among these stock indices, advanced statistical techniques, including Johansen cointegration methods and vector autoregressive (VAR) models, have been applied.

The research outcomes reveal both unidirectional and bidirectional relationships between the Indian, Hong Kong and US stock exchanges, encompassing both short-term and long-term time frames. Interestingly, the empirical findings indicate the presence of diversification opportunities between the Indian stock exchange and the stock exchanges of Germany, France and Amsterdam.

These insights hold significant value for both Indian and international investors, including foreign institutional investors (FIIs), domestic institutional investors (DIIs) and retail investors, as they can utilize this knowledge to construct more effective and diversified investment portfolios by understanding the intricate interconnections between these prominent global stock exchanges.

This research undertaking aspires to bring coherence to a landscape rife with divergent interpretations and methodological divergences. We are poised to offer a comprehensive analysis, a beacon of clarity amidst the murkiness, to shed light on the intricate web of interconnections that underpin the world's stock exchanges. In so doing, we seek to contribute a seminal piece of scholarship that transcends the existing ambiguities and thus empowers the field with a deeper understanding of the multifaceted dynamics governing international stock markets.

 Social assistance programs have been implemented in Madagascar to assist the most vulnerable and neediest poor in achieving a minimum standard of living during critical times. In the Grand South and Southeast Madagascar, where climate change, price fluctuations and sociopolitical instability threaten the population’s livelihood, the effectiveness of such aid-based programs is uncertain because of possible mistargeting. This study aims to assess the accuracy of the targeting methodology of four different types of social protection programs in Southern Madagascar.

The authors draw evidence from a national representative data set and use multiple techniques that integrate targeting performance and regression-based analyses.

Results show that cash transfers constitute the only program that effectively reaches the poorest 20% living in drought- and cyclone-affected regions. However, mistargeting is likely to occur in food, seed transfers, and the HIMO public works programs. Social inclusion information related to proximity to urban zones, religious affiliation, and number of long-lasting insecticide-treated nets are significantly associated to all program participation. Nevertheless, a serious under-coverage of the eligible poor is noted for Southern Madagascar.

This study is among the first to evaluate the targeting effectiveness of social programs in Madagascar. It introduces a novel approach to evaluating the poverty rate by utilizing a composite-based wealth score. The authors enhance the classic targeting assessment methodology by incorporating geospatial covariates, categorical, geographical and social network information into an econometric model. The study provides a comprehensive view of the main profile of beneficiaries reached by four social assistance programs in Southern Madagascar.

The purpose of this paper is to investigate the challenges faced by empirical researchers investigating a shift from taxing multinational entities using the arm’s length system to a formulary apportionment system. Theoretically, a shift should increase global tax collections as profits currently attributed to low or no tax jurisdictions are allocated to jurisdictions with true input or output factors and shift the allocation between these countries. Before any jurisdiction seriously contemplated a shift from an arm’s length allocation system to a formulary apportionment regime, however, it would want to estimate the revenue impact of such a change.

The paper systematically analyzes empirical papers that attempt to estimate the effects of formulary apportionment on country and global income revenue collected to determine the challenges faced by researchers.

The paper determines that there are both data and geo-political constraints that relate to (1) the method used to calculate the global profits of a multinational enterprise, (2) whether jurisdictions wish to adopt a global or regional formulary apportionment, (3) the weightings to be given to the factors used in the formulary apportionment, (4) the challenges of measuring sales at destination and the viability of surrogate measurements, (5) whether natural resources should be included in the measurement of the capital input factor, and (6) whether a redistribution objective should be included in the profit allocation formula.

Estimating the changes is challenging both in terms collecting the data needed for the calculations and the choice of design options to be tested. The paper provides synthesized knowledge in relation to the difficulties in estimating the effects of moving to a formulary apportionment model for taxing multinational entities.

This study aims to apply the appreciative inquiry approach (AI) to develop a tourism strategy for poverty alleviation in marginalised communities. The focus is to provide practical insights for leveraging tourism to drive positive socio-economic change for the impoverished, using Rosetta, a port city in Egypt with cultural and historical significance, as a case study.

This qualitative applied study uses the four-D phases of AI and thematic analysis to strategise tourism development in Rosetta. Through interviews, focus groups and field visits, the study identifies tourism potential, stakeholder aspirations and actionable strategies for sustainable development. The approach prioritises a bottom-up, community-centric and stakeholder-involved process, aiming for inclusive and equitable growth.

The study revealed Rosetta’s underutilised tourism potential, emphasising heritage tourism. Although tourism offers some economic benefits, its impact on alleviating poverty in Rosetta remains limited. A holistic strategy for tourism development in Rosetta is proposed for economic growth and poverty reduction, focusing on sustainable management, local empowerment, enhanced marketing, improved infrastructure and diversified tourism offerings.

While AI is not new in qualitative studies, the novelty of this study lies in its application to tourism planning for poverty alleviation in a marginalised community like Rosetta, introducing a comprehensive tourism strategy with an original framework applicable to comparable destinations. The study’s significance is emphasised by providing actionable strategies for policymakers, valuable insights for practitioners and enriching the discourse and methodology on pro-poor tourism for academics, representing a step towards filling the gap between theoretical concepts and practical strategies.

Since March 2020, the global COVID-19 pandemic has disproportionately impacted refugees by compounding preexisting and systemic health, social and economic inequities. In Canada, approximately 50,000 Syrian refugees arrived between 2015 and 2020 and were in the process of rebuilding their lives when the pandemic started. This study aims to explore the impact of the COVID-19 pandemic for Syrian refugees in Canada and identify supports needed.

Drawing on frameworks for refugee psychosocial adaptation and social integration and a qualitative descriptive design, the study used thematic analysis to examine semi-structured interviews with 10 Syrians.

Findings indicated four themes that provide a snapshot of impacts relatively early in the pandemic: facing ongoing development, inequity and insecurity during integration; disruption of settlement, integration and adaptation due to the pandemic; ongoing adaptation and resilience during integration in Canada; and ongoing needs and solutions for integration and adaptation.

This study builds upon growing research concerning Syrian refugees and psychosocial adaptation, particularly during the pandemic. The findings highlight the impacts of the pandemic on a population already facing inequities in a resettlement country. While the findings emphasize the resilience of the Syrian refugee community, the study also demonstrates the need for ongoing supports and justice-oriented action to fulfill resettlement commitments, especially in the face of additional stressors like the COVID-19 pandemic. Implications for policy, practice and future research are discussed.

This study aims to examine the prevalence of transfer pricing and earnings management activities, and how they are impacted by corporate governance mechanisms.

Using the political cost theory, the study provides insights into how opportunistic managerial behaviours which have a strong link to profit shifting and tax evasion are driven by corporate governance using data from 16 listed firms for the period 2008–2020.

The results reveal that the transaction-based transfer pricing model is better than the index-based model and the accrual-based earnings management model suits the political cost theory more than the real earnings management metric. Board size and female CEO increase transfer pricing aggressiveness but board independence, CEO tenure, CEO nationality and female Board Chairwomanship reduce transfer pricing aggressiveness. The findings also reveal the role of multinational enterprise status, private ownership, industry type, firm size, financial leverage, asset tangibility and firm age. For accrual-based earnings management, board independence, CEO tenure, and female Board Chairwomanship significantly decrease earnings management. Other factors include private ownership, firm size, and firm age.

The findings of the study are relevant for shaping industry-level policies on earning management, transfer pricing and related-party transactions. Since these opportunistic managerial behaviours are the foremost drivers of tax avoidance and profit shifting, the findings of this study provide relevant insights for practitioners, tax and other regulatory authorities, policymakers and the academic community alike.

This is among the premier studies on the transfer pricing and earnings management nexus with corporate governance factors using the political cost theory, especially in the developing country context. It also reveals the significant impact of gender and suggests the need for gender diversity in corporate management.