Search results

This study reveals the economic impact of the Indo-Pacific Strategy on the Regional Comprehensive Economic Partnership (RCEP).

This paper uses the GTAP model to analyze the economic effects of RCEP under the effect of the “Indo-Pacific Strategy” under different scenarios.

The results show that (1) with the improvement of the implementation effect of the US “Indo-Pacific Strategy,” the welfare level of China has gradually had a significant negative impact, while the welfare level of US Allies and partners has been further improved. (2) The implementation of the Indo-Pacific Strategy will further expand the import scale of Japan, South Korea and other Allies that are both RCEP members and the USA and slightly reduce the import scale of the European Union (EU) and other countries. (3) After the USA implemented the “Indo-Pacific Strategy,” its export scale has significantly improved, and it has been able to completely offset the adverse effects of the signing of RCEP on its exports. China's export scale has also gradually declined, and Japan has benefited the most.

There are three main possible contributions to this article: first, the authors combined geopolitical factors to simulate and evaluate the economic effects of RCEP under different Indo-Pacific Strategy implementation scenarios, which is more relevant than analyzing the economic effects of RCEP in a “vacuum.” Second, the standard static GTAP model can only measure the change of equilibrium state before and after the trade policy. At the same time, the dynamic GTAP model (GTAP-Dyn) introduces mechanisms such as capital flow and capital accumulation and treats time as a continuous variable affected by exogenous variables so that each variable has a time dimension so as better to simulate the medium- and long-term economic effects. This paper refers to the dynamic recursion method of Walmsley (2006) and Yang (2011) to update the base year of the GTAP version 10.0 database to 2020, that is the time when RCEP officially reached 2020. The simulation results of shock variables introduced into the baseline scenario are more reliable. Third, the authors analyze the welfare effect of RCEP and the impact on the import and export of relevant countries from the macrolevel and examine the impact on different products in different countries from the microlevel.

Countries worldwide aim to improve their comparative advantages by efficiently using scarce resources for economic growth and development. While many studies have been conducted to measure intellectual capital at the firm's level, measuring it at the national level has been under-examined. In addition, while the important role of national intellectual capital in economic growth has been theoretically recognized in literature, this important link has largely been ignored in empirical analyses.

This study uses the newly developed index of national intellectual capital from Vo and Tran's (2022) study to examine its effects on national economic growth in the long run. The dynamic common correlated effects technique and the pooled mean group estimation are used on the sample of 23 economies in the Asia–Pacific region from 2000 to 2020.

Findings from this study confirm the positive and significant contribution of the national intellectual capital to economic growth in the region. The authors also find that, as a feedback effect, economic growth will also enhance and improve the accumulation of national intellectual capital.

The findings of this paper provide valuable evidence and implications for policymakers in managing and improving national intellectual capital in the Asia–Pacific region.

To the best of the authors’ knowledge, this is the first empirical study to examine the impact of national intellectual capital on economic growth in the long run in the Asia–Pacific economies.

This study investigates the impact of government and economic policy uncertainty (EPU) on companies' business operations, especially risk-taking tendencies and corporate financial reporting quality (FRQ).

The study employs the generalised least squares regression model. The final sample comprised 27,376 company-year observations from eight countries in the Asia-Pacific region.

EPU has a negative and significant effect on investment activity and FRQ. Higher EPU leads to a decline in investment and FRQ.

There are several limitations in this study. First, the authors used abnormal investments to measure investments, without considering the degree of irreversibility investment objectives. Second, although control variables are included at the company and country levels, they may only partially control for companies' mitigation effects. Third, the sample is limited to developing countries with unique characteristics in Asia-Pacific; therefore, the findings cannot be generalised.

The findings can help investors, analysts and regulators evaluate EPU's impact on companies' business activities by offering an overview regarding the decline in investment efficiency and FRQ. The results can also be used as input for regulators in formulating policies that encourage companies to regulate investment levels without harming other stakeholders and maintain FRQ during periods of uncertainty.

This research provides intriguing insights into EPU's effects on companies' investment activity and FRQ in developing countries, which are sensitive to changes in macroeconomic conditions.

Discussions about progressive gender reform across Melanesia highlight the need for more gender-inclusive policies and improved conditions for women and girls throughout all sectors. However, for many of these countries, attempts to address the problems are marred by insufficient resources and low prioritization of the issue and traditional, cultural and religious perspectives about gender and gendered roles. This article discusses how police responses are coordinated to address domestic and family violence (DFV) and provides a critical reflection on both internal responses and the complexities of multi-partner operations beyond urban spaces.

This article draws on the findings from a stakeholder engagement focus group with 20 participants from four Melanesian countries – Fiji, Papua New Guinea, the Solomon Islands and Vanuatu – to provide insight into policing innovations in rural contexts.

There is a need for improved multisector partnerships, increased police presence and greater reliance on indigenous strategies to improve responses to DFV in resource-constrained contexts.

The article provides insight into an under-researched area and makes recommendations for improving responses to DFV in rural areas in small-island developing states.

This paper empirically investigates the demand for pastured eggs in the United States and evaluates the welfare consequences of Japan's egg import tariff reductions for the US consumers.

Using household-level Nielsen Homescan panel data, a fixed-effects Heckman two-stage sample selection model is estimated.

The estimation results ascertain the importance of a set of household socioeconomic characteristics, which are found to influence both the purchase probabilities and the consumption amounts associated with pastured eggs. In addition, demand for pastured eggs is estimated to be inelastic, and pastured eggs are found to be a normal good, more specifically a luxury.

The dataset used in this study reflect purchases only for at-home consumption, lacking information on away-from-home purchases.

Building upon previous research, this study makes the following distinct contributions to the current literature. To the best of our knowledge, it constitutes the first study to empirically examine the demand for pastured eggs, using household-level panel data and an estimation model that not only allows for left-censoring but also controls for regional and time fixed effects. Second, the present study reflects a unique effort in analyzing the adverse welfare consequences of the increased egg prices in the United States brought by a reduction of Japanese import tariffs on US-supplied eggs, focusing specifically on pastured eggs.

This study aims to examine the tail connectedness between the Chinese and Association of Southeast Asian Nations (ASEAN) stock markets. More specifically, the authors measure the return spillovers at three quantile levels: median (t = 0.5), lower extreme (t = 0.05) and upper extreme (t = 0.95). The connectedness at extreme upper and lower quantiles provides insightful information to investors regarding tail risk propagation, which ultimately suggests that investors adjust their portfolios according to the extreme bullish and bearish market conditions.

The authors employ the quantile connectedness approach of Ando et al. (2022) to examine the quantile transmission mechanism among the ASEAN and Chinese stock markets.

The results show significant evidence of a higher level of connectedness between Chinese and ASEAN stock markets at extreme upper and lower quantiles compared to the median quantiles, which suggests the use of a quantile-based connectedness approach instead of an average-measure-based one. Furthermore, the time-varying connectedness analysis shows that the total spillovers reach the highest peaks during the global financial crisis, the Chinese stock market crash and the COVID-19 pandemic at the upper, lower and median quantiles. Finally, the static and dynamic pairwise spillovers between the Chinese and ASEAN markets vary over quantiles as well.

This study is the first attempt to examine quantile vector autoregression (VAR)-based return spillovers between China and ASEAN stock markets during different market statuses. Besides, the COVID-19 has intensified the uncertainty in Asian countries, mainly China and ASEAN economies.

The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.

This work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.

The research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.

The finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.

The purpose of this study is to assess the significance of employee work flexibility and the policy of the organization for survival during any crisis. This study also investigates the moderating role of leadership support (LS) during such turbulent conditions.

This study has used literature from the fields of organization performance, human resources and organization policy (OP), along with the theories of resource-based view (RBV) and dynamic capability view (DCV) to develop a conceptual model. Later, the conceptual model is validated using the structural equation modeling technique. The study used a survey method with a sample of 311 participants. These participants are employed as human resource managers (HRM) and other supportive workforce at different levels in the organizations.

The study shows that innovativeness and employee flexibility (EFL) are critical toward organizations’ survival during any crisis. Also, the study highlights the importance of OP and LS for the survival of organizations during and after any turbulent condition.

This study provides valuable inputs to the leadership teams of organizations, especially HRM. This research also provides food for thought for policymakers and researchers in the field of organizational performance. This study also contributes to the overall body of literature on organization analysis and extends the literature on RBV and DCV.

The study adds value to the overall body of literature on organization performance and capabilities along with human resource management. Few studies have nurtured issues on EFL during turbulent conditions. Also, there are limited studies in the areas of OP such as favorable and unfavorable policies toward employees. Thus, this study can be considered unique. Moreover, the study investigates the moderating role of LS which adds value toward the body of literature on organizational leadership capability.

Research in critical disaster studies stresses the urgency to explore alternative ontological framings (Gaillard and Raju, 2022) that encourages researchers and practitioners, especially Indigenous communities, to nurture spaces where Indigenous voices are well represented. It is imperative that research in the Pacific should be guided by Pacific research methodologies to maximize positive outcomes (Ponton, 2018) and break free from limited Eurocentric ideologies that are often ill-suited in Pacific contexts. Hazards in the South Pacific region have become more frequent and volatile. This has created a growing interest in the study of disasters in the region. However, current disaster studies in the Pacific are often problematic as they often fail to challenge the implicit coloniality of the discipline.

This paper will expand on these arguments, suggesting ways to overcome the limits of common Eurocentric research frameworks in disaster studies and to illustrate the significance and relevance of Pacific methodologies.

It is pertinent that critical disaster studies encapsulate Pacific worldviews and knowledge as valued and valid to reconstruct Pacific research. Decolonizing disaster research will ultimately liberate the discipline from limitations of its colonial past and allow for truly engaging and critical research practices.

This paper will illustrate and articulate how Talanoa, a pan-Pacific concept, could offer a more culturally appropriate research methodology to disasters, seen through a Samoan lens. Talanoa is an informal conversation that is widely shared among Pacific communities based on pure, authentic and real conversations which are crucial elements in building relationships with Pacific communities (Vaioleti, 2006).

The aim of this study is to examine the nature and determinants of stock market integration between India and other Asia–Pacific countries (Malaysia, Hong Kong, Singapore, South Korea, Japan, China, Indonesia, the Philippines, Thailand and Taiwan) over the period 1991–2021.

Unit root tests, the dynamic conditional correlation-Glosten Jagannathan and Runkle-generalized autoregressive conditional heteroscedasticity (DCC-GJR-GARCH), pooled ordinary least squares (OLS) regression and random effects models are employed for the analysis.

The empirical results show that the DCC between each pair of sample countries is less than 0.5, indicating weak ties between the pairs of sample countries. Also, the DCC between India and other Asia–Pacific stock markets is positive and low, implying low level of integration. The correlation between India and China stock markets is found to be the highest, implying significant level of integration. The main reason for it would be strong economic linkages and bilateral trade relationship between India and China. Moreover, gross domestic product (GDP), interest rate (IR), consumer price index (CPI)-inflation and money supply (MS) differentials are the major driver of stock market integration between India and other Asia–Pacific countries.

The findings of the study have important implications for investors, portfolio managers and policymakers. It is found that the DCC between India and other Asia–Pacific countries (considered in the study) except China is low, which indicates weak ties between the pairs of sample countries. This implies that the Indian stock market provides good investment opportunities for foreign investors. Also, investors and portfolio managers can attain more diversified benefits and can minimize country risk by investing across Asia–Pacific countries. Further, knowledge about the factors that integrate the Indian stock market with the other Asia–Pacific stock markets will help policymakers frame suitable economic and financial stabilization policies.

This study contributes to the extant literature: first, by examining the linkages of Indian stock market with other Asia–Pacific countries; second, although previous studies confirmed the existence of linkages among the various stock markets, few researchers pay attention to the factors driving the process of stock market integration. This study provides additional evidence by examining the significant macroeconomic factors driving the process of such integration in the Asia–Pacific region considered under the study.