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The purpose of this paper is as follows: first, it aims to explain the overall economic implications of the trans-pacific partnership (TPP). Second, it aims to provide an in-depth analysis of the TPP’s quantitative impact on an upper-middle economy such as Mexico, as well as on the USA.

The analysis is performed using a computable general equilibrium (CGE) model.

The results suggest that in the short run, both Mexico and the USA would slightly benefit from the TPP. Tariff reductions would lead to less bilateral trade between Mexico and the USA and the stronger integration of both countries with the rest of the TPP members. The opposite is true after a decrease in non-tariff barriers (NTBs). Overall, in terms of the impact on Mexico, trade integration with the rest of the TPP members prevails. This suggests that a TPP without the USA could still be beneficial.

Previous studies on the TPP have mainly focused on its impact for the USA, which is also analysed in the present study. The effects of the TPP are estimated for a broad set of micro and macroeconomic variables, paying particular attention to the reductions of NTBs.

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This study aims to empirically investigate the potential impact of the Trans-Pacific Partnership (TPP) on US textile and apparel manufacturing.

This study adopts the Global Trade Analysis Project (GTAP) computable general equilibrium model based on the latest GTAP9 database.

The findings of the study suggest that: the “yarn-forward” rule will not work effectively in the context of TPP; and the development of Vietnam’s local textile industry is a critical threat to the survival of US textile and apparel (T&A) manufacturing in the long run.

The findings of the study augment the understanding of the T&A-specific sectoral impact of TPP and address the particular concerns of the US T&A manufacturers with regard to the new business environment and the possible scenarios after the implementation of the agreement.

This study aims to (1) identify the agricultural competitiveness of ASEAN countries in the global markets; (2) analyze the dynamics of these indicators for the period 1997–2015; and (3) test the consistency between trade indices.

The study uses RCA, RTA, and NRCA for the first objective; OLS method and Markov matrix for the second objective; and statistic tool for the final purpose.

The results show that: (1) ASEAN countries achieve the strongest competitiveness in rice, rubber, spices, vegetable fat and oils, wood, fuel wood, fish, and crustacean. Vietnam, Thailand, and Indonesia are the strongest competitive whilst Brunei, Singapore, and Cambodia are the weakest competitive; (2) They have convergent patterns in agricultural competitiveness; (3) They successfully maintain rankings of the strong competitive sectors; and (4) ASEAN countries obtain benefits from the regional integration and the specialization in competitive products.

ASEAN countries with strong competitiveness should specialize in and maintain their rankings to enhance competitiveness and maximize social welfare while the countries with weak agricultural competitiveness should specialize in the processed products and services based on their advantages of economic resources.

Comprehensive results of the static and dynamic agricultural competitiveness of ASEAN countries as a whole are provided. The findings and policy recommendations can be used by policymakers and enterprises to improve competitiveness and benefit. The discussions and findings should be a significant reference for economists.

The purpose of this paper is to postulate the impact of preferential trade agreements (PTAs) on internationalization strategies of member countries’ firms. The study also aims to triangulate the proposed model using empirical data from PTA partner economies.

The mixed methods research design is used for the purpose of inquiry as suggested by Creswell. The inductive reasoning based on critical literature review and grounded theory methodology is used to postulate the model. Explanatory strength of the model is triangulated using empirical longitudinal trade data of Pakistan with her bilateral PTA partners, i.e. Malaysia, Mauritius, Iran, Sri Lanka and China. Internationalization indices are adapted following the Ietto-Gillies and London (2009) and Petri (1994) to measure the intensity and geographical diversification dimensions of internationalization. Country-level trade statistics are used as a proxy of firm-level data to explain the international expansion of home firms resulting from PTAs.

Empirical results confirm a strong and long-term impact of PTAs on the intensity and extensity dimensions of internationalization over post-agreement period in Pakistan and member economies. Gravity index depicts greater concentration of Pakistan's trade in FTA markets and thereby confirms the influence of PTAs on international market selection. Analysis at sectoral level depicts a contraction in services trade whereas expansion in the manufacturing firms’ export growth to member economies.

The paper extends the theory of internationalization by identifying PTAs as exogenous variable influencing internationalization strategies of member countries’ firms in a developing South Asian context. Coupled with findings from empirical data, the study identifies PTAs as a new strategic trade policy tool available to policy makers for promoting and influencing the home firms’ internationalization strategies.

This article investigates the impact of foreign trade on carbon emissions of the member countries of the largest trade bloc, the Regional Comprehensive Economic Partnership (RCEP).

The aggregate bilateral trade with members of RCEP during the period 1991–2020 was considered for analysis. The study also examines the impact of foreign trade (between member countries) on economic development, represented by GDP per capita. Dumitrescu–Hurlin panel Granger causality test was conducted to understand the impact of foreign trade on GDP per capita and carbon emissions.

Results indicate that though foreign trade is heterogeneously Granger causing GDP per capita, it also aggravates carbon emissions in RCEP bloc.

The study is of significance to the policymakers in the member countries as it provides evidence to include climate impact in trade agreements. The wealthier RCEP member countries can support the green transition of low-income countries through transfer of eco-friendly technologies.

The purpose of this paper is to simulate the effects of the Regional Comprehensive Economic Partnership (RCEP) on trade and income, with a particular interest in the effect on China and Korea.

This paper adopts a Computable General Equilibrium (CGE) model developed by Li et al. (2017) to simulate the effect of RCEP. The CGE model is grounded in the firm heterogeneity theory. Within this framework, the feature of dynamic movements of firms allows the CGE model to capture the extensive margin of trade increase. Aside from that, the CGE model separates foreign direct investment (FDI) from domestic investment, which helps to explain the effect of the removal of FDI barriers.

Results show that RCEP will increase trade of China by 1.5 percent. The income of China will increase by 2.5 percent. The trade increase of Korea will be $8bn, and its income will increase by 0.6 percent. In terms of welfare, China will gain $214bn and Korea will gain $23~35bn, taking 2~3 percent of Korea’s GDP. Also, the reduction of behind-the-border barriers presents very significant effects.

The main contribution of this paper is to quantitatively assess the potential effects of RCEP on trade and income. The positive findings would propel RCEP parties, especially China and Korea, to reach an agreement as soon as possible.

The scope of this work is to explore whether Regional Comprehensive Economic Partnership (RCEP) would be beneficial to Bangladesh, given Bangladesh's strong ties with India and the west.

Using extended gravity equation and data from Head and Mayer (2021) and the Direction of Trade Statistic (IMF, 2021) for Bangladesh with its applicable partner countries from 1972 till 2019, the authors attempted to examine the potential impact of joining RCEP while keeping its relationship with South Asian Association for Regional Cooperation (SAARC), and other existing economic integration schemes intact.

Using traditional pooled ordinary least squares, two-stage least square and generalized method of moment techniques, it has been revealed that conventional partners in the South led by India are still beneficial to Bangladeshs trading line. Joining RCEP provides ample avenues for trade expansion without replacing the positive effects of SAARC.

Traditional partners from European, American and South Asian trading opportunities are still paying enough dividends to Bangladesh. RCEP is providing a trade-enhancing chance for Bangladesh in the eastern direction. This paper provides a policy suggestion to look east policy of government. A total overhaul of her tax structure through minimizing excessive reliance on import tariff revenue is desired to facilitate her to join RCEP in the future because most of its prospective RCEP partners are import partners.

This is the first and the only study which explores the feasibility of Bangladesh to join the RCEP by using the most recently updated gravity data in a panel framework.

1. Since its inception on November 15, 2020, Regional Comprehensive Economic Partnership (RCEP) has emerged as one of the largest economic integration areas in the world.

2. As a borderline country between South Asia and RCEP, Bangladesh is in a fix to take a decision either to join or not to join RCEP if they are invited.

3. This paper used the gravity equation in an extended form by taking Bangladesh with its 197 trading partners’ trade data for 1972–2019.

4. The findings postulate that the existing relationship with SAARC countries is still beneficial to its welfare, and RCEP is also economically helpful in enhancing its trade.

Since its inception on November 15, 2020, Regional Comprehensive Economic Partnership (RCEP) has emerged as one of the largest economic integration areas in the world.

As a borderline country between South Asia and RCEP, Bangladesh is in a fix to take a decision either to join or not to join RCEP if they are invited.

This paper used the gravity equation in an extended form by taking Bangladesh with its 197 trading partners’ trade data for 1972–2019.

The findings postulate that the existing relationship with SAARC countries is still beneficial to its welfare, and RCEP is also economically helpful in enhancing its trade.

This study aims to find the impact of the trade war between the USA and China on Asian economies. Apart from macroeconomic variables associated with trade, this study explicitly creates a trade war scenario and trade war participant dummies. Using the neural network multilayer perceptron, this study checks for the causal linkages between the predictors and target output for the panel of Asian economies and the USA.

A conceptual model of the after effects of trade war in a quadrant is developed. Variables related to trade and tariffs are included in the study for a panel of 19 Asian economies. The feedforward structure of neural network analysis is used to identify strong and weak predictors of trade war.

The hidden layers of the multilayer perceptron reveal the inconsistency in linkages for the predictors’ services exports, tariff measures, anti-dumping measures, trade war scenario dummy with gross domestic product. The findings suggest that to curtail the impact of the trade war on Asian economies, predictors with neural evidence must be paid due weightage in policy determination and trade agreements.

The study applies a novel and little explored AI/ML technique of Neural Network analysis with training of 70% observations. The paper will provide opportunity for other researchers to explore techniques of AI/ML in trade studies.

The purpose of this paper is to identify major macroeconomic factors that enhance foreign direct investment (FDI) for Pakistan through the co‐integration and error correction model over a 28‐year time period, i.e. between 1980 and 2008.

The study employed the Johansen co‐integration technique to estimate the long‐run relationship between the variables, while an error correction model was used to determine the short‐run dynamics of the system.

Finding suggests that FDI has had a significant positive impact on Pakistan's economic growth in the long run. For example, trade liberalization and their interactive terms have a positive effect in the short run, while a negative effect is observed in the long run upon economic growth of Pakistan. The results indicate that due to a low quality of human capital in Pakistan; the direct effect of FDI on economic growth becomes negative.

The study was limited to a few variables, including human capital, trade openness, government size, population and consumer price index, in order to manage robust data analysis.

The authors find that for FDI to be a significant contributor to economic growth in Pakistan, government must focus upon improving physical infrastructure, and quality of human resources.

The study confirms that Pakistan did not enjoy substantial growth benefits from FDI because human capital, trade openness, government size and interactive terms of FDI and per capita income have a negative impact on economic growth. These findings have important policy implications.