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The purpose of this paper is to quantify and analyze the relative impact of agriculture Trade liberalization and South Asian Free Trade Agreement (SAFTA) over the global economic welfare. The objectives are to analyze and quantify the potential economic cost and benefits of the prospective trade between India and Pakistan to consumers, producers and government of the two countries by analyzing the potential economic costs and benefits of Pak‐India trade in exporting various consumer goods.

The Global Trade Analysis Project (GTAP) database is the database for the GTAP model of the world economy, which is publicly available. The main data source for this model is “The GTAP 4 Data Base” which is easy to adapt to appropriate sectoral and regional aggregations that allow one to focus on specific policy questions. The regional databases in the model are derived from individual country input‐output (I/O) tables that provide information about the individual regional economies in the model. The bilateral trade data are primarily derived from the United Nations Commodity Trade database. The economic research service (ERS) of the United States Department of Agriculture supplies the missing information in the UN trade data.

The first scenario is when normal trading relations with India will be restored; it means that each country will give the most‐favored‐nations (MFN) status to the other. In the second scenario, the SAFTA will be operative, and there will be free trade between India and Pakistan, and both countries will remove all tariffs and custom duties from each other's imports. The GTAP model is used to analyze the possible impact of SAFTA on Pakistan in a multi‐country, multi‐sector applied general equilibrium framework.

The analysis based on simulations reveals that current demand for Pakistani consumer items will expand after the free trade agreement (FTA) and consumer surplus will increase. The export of consumer items may be conducted by two scenarios, i.e. when normal trading relations between Pakistan and India will be restored and when there will be a free trade between Pakistan and India in the presence of SAFTA. Results based on this research reveal that, on SAFTA grounds, there will be net export benefits in Pakistan's economy.

COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the impact of the reduction in economic activity on the economy-wide variables so that appropriate steps can be taken. This study aims to evaluate the sensitivity of various sectors of the Indian economy to this dual shock.

The eight-sector open economy general equilibrium Global Trade Analysis Project (GTAP) model has been simulated to evaluate the sector-specific effects of a fall in economic activity due to COVID-19. This model uses an economy-wide accounting framework to quantify the impact of a shock on the given equilibrium economy and report the post-simulation new equilibrium values.

The empirical results state that welfare for the Indian economy falls to the tune of 7.70% due to output shock. Because of demand–supply linkages, it also impacts the inter- and intra-industry flows, demand for factors of production and imports. There is a momentous fall in the demand for factor endowments from all sectors. Among those, the trade-hotel-transport and manufacturing sectors are in the first two positions from the top. The study recommends an immediate revival of the manufacturing and trade-hotel-transport sectors to get the Indian economy back on track.

The present study has modified the existing GTAP model accounting framework through unemployment and output closures to account for the impact of change in sectoral output due to COVID-19 on the level of employment and other macroeconomic variables.

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.

In this paper, we evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

We employ a Dynamic GTAP-VA Model to quantitatively evaluate the economic repercussions of the “Chip Act” on the Chinese electronic industries' GVC participation from 2023 to 2040.

The findings depict a discernible contraction in China’s electronic sector by 2040, marked by a −2.95% change in output, a −3.50% alteration in exports and a 0.45% increment in imports. Concurrently, the U.S., EU and certain Asian economies exhibit expansions within the electronic sector, indicating a GVC realignment. The “Chip Act” implementation precipitates a significant divergence in GVC participation across different countries and industries, notably impacting the electronics sector.

Through a meticulous temporal analysis, this manuscript unveils the nuanced economic shifts within the GVC, substantially bridging the empirical void in existing literature. This narrative accentuates the profound implications of policy regulations on global trade dynamics, contributing to the discourse on international economic policy and industry evolution.

We evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

The interaction between policy regulations and global value chain (GVC) dynamics is pivotal in understanding the contemporary global trade framework, especially within technology-driven sectors. The US “Chips Act” represents a significant regulatory milestone with potential ramifications on the Chinese electronic industries' engagement in the GVC.

The significance of this paper is that it quantifies for the first time the impact of the US Chip Act on the GVC participation index of East Asian countries in the context of US-China decoupling. With careful consideration of strategic aspects, this paper substantially fills the empirical gap in the existing literature by presenting subtle economic changes within GVCs, highlighting the profound implications of policy regulation on global trade dynamics.

Over the past decade, biofuels production in the European Union and the United States has boomed – much of this due to government mandates and subsidies. The United States has now surpassed Brazil as the world's leading producer of ethanol. The economic and environmental impact of these biofuel programs has become an important question of public policy. Due to the complex intersectoral linkages between biofuels and crops, livestock as well as energy activities, CGE modeling has become an important tool for their analysis. This chapter reviews recent developments in this area of economic analysis and suggests directions for future research.

The aim of this paper is to deal with the linkage between agricultural trade liberalization and food security in Sub‐Saharan Africa.

The analysis uses the GTAP model which is a global dynamic applied general equilibrium model to assess how the multifarious trade and support policies in agriculture affect the poor in the Sub‐Saharan African group based on food security concerns. The policy strategies analyzed are two liberalization scenarios based on the proposals made in the present round of agricultural negotiations in terms of market access and export competition, plus a free agricultural trade benchmark scenario.

The results of alternative trade liberalization strategies on key food security indicators in the SSA region are ambiguous. The impact varies depending on the extent of liberalization and also the comparative advantage of the SSA group at the sectoral level.

Despite several studies on food security, especially after the food crisis in 2008, very little research has focussed on the agricultural trade liberalization impact with a CGE approach.

The purpose of this paper is to investigate the potential economic effects of the proposed Bangladesh-India free trade agreement (FTA).

The authors have used the computable general equilibrium (CGE) analysis of Global Trade Analysis Project (GTAP) database. The analysis highlights the possible costs and benefits of the two nations within three different scenarios. Under Scenario I all bilateral import tariffs between Bangladesh and India are removed; Scenario II represents the setting where Bangladesh cuts its all tariffs by 75 and in Scenario III Bangladesh cuts tariffs by 50 percent. India cuts all their tariffs by 100 percent in all three scenarios.

The findings indicate that India may gain more in terms of welfare and real GDP via the improved terms of trade while Bangladesh is going to have welfare loss, but if Bangladesh is able to make a preferential FTA like Scenario III with India its welfare, real GDP and exports will be increased substantially.

This paper is the first-ever attempt to estimate the effect of the proposed Bangladesh-India FTA using CGE analysis of GTAP database version 7.

This paper aims to explore the impacts of the recent development of Korean free trade agreements (FTAs) on its seaborne trade volumes. The paper firstly estimates the changes in cargo value flows caused by Korea-EU FTA, Korea-USA FTA and Korea-ASEAN FTA using a global computable general equilibrium model named Global Trade Analysis Project (GTAP) and its most recent database - version 7 with 2004 as the base year. Then a set of systematic conversion factors transferring trade value flows to volume flows of different types of commodities is calibrated according to the United Nations COMTRADE database and is used to convert the GTAP trade value flows into volume flows. Having indentified maritime cargo flows by different commodity types, this paper attempts to draw implications for maritime logistics policy in order to facilitate the trade of Korean merchandises and to propose key competitive strategy for the maritime container transport networking and logistics service providers in the Korean logistics industry.

Since it is difficult for researchers to access data for the North Korean economy, they typically choose a proxy economy for estimating the economic impact of the unification of the two Koreas using a computational general equilibrium (CGE). This paper aims to identify the best proxy economy for North Korea out of the 140 economies (countries) in the Global Trade Analysis Project (GTAP) database version 9.1, which was published in mid-2015. (Ed- if your study aim is ‘to identify the best proxy economy for North Korea’, then you must state your study finding here in the abstract, and also in the conclusion, i.e., Romania) This paper evaluates the input-output (IO) tables for the North Korean economy in existing studies. Comparing the coefficients for North Korea in existing studies with those of the countries selected for this paper, substantial differences were found, especially for the services sector. This casts some doubt on the IO tables in the existing studies on the North Korean economy.

The purpose of this chapter is to ask and answer the question of what would happen if Genetically Modified Organism (GMO) plant materials were banned. We report on two studies – one with United States only ban and one with a global ban. We used a global computable general equilibrium (CGE) model, Global Trade Analysis Project (GTAP), for the analysis. This model has been used in hundreds of published papers on trade, energy, land use, and environmental issues. Our use of the model was to estimate the crop yield benefits for the major GMO crops, and then to convert this to a loss if the GMO traits were banned. We then shocked the GTAP model with the yield losses and estimate economic, land use, and greenhouse gas (GHG) emission impacts. We found that losing the GM technology would cause commodity and food prices to increase and also bring about a significant increase in GHG emissions. The increase in emissions is caused by the need to convert forest and pasture to compensate for the lost production. Another interesting conclusion of the global ban study is that economic well-being for the United States, the world’s largest GMO user, actually increases with a ban. Many regions that ban or use little GMO varieties like the European Union, India, China, and Japan all see economic well-being decrease. These counterintuitive results are driven mainly by trade patterns. Therefore GMO technology helps agriculture reduce its carbon footprint. Without this technology, agricultural land-use GHG emissions increase as do food prices. Some groups would like to see GMOs banned and also see GHG emissions fall. You cannot have it both ways.