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This study investigates the trade potential of Afghanistan with the South Asian Association for Regional Cooperation (SAARC) and European Union (EU) by employing an augmented gravity model approach. The model used the latest Economic and Social Commission for Asia and the Pacific (ESCAP) dataset with the base year 2016, covering data from 2015 to 2021. The results of the study satiate that out of the chosen 15 countries of the EU, the magnitude of Afghanistan's trade potential is high with three EU countries (Germany, France and Spain), whereas in the case of SAARC, Afghanistan's trade potential is the highest with Pakistan, followed by India and Bangladesh. Results show that simple average tariff imposition and partner countries' GDP positively impact Afghanistan's trade value.

In contrast, simple average tariff imposition bilaterally harms the trade volume of the reporting country. Statistically, a 1% tariff rate change decreases Afghanistan's total trade by 0.3%. Moreover, a 1% increase in the GDP of the partner countries will increase Afghanistan's total trade by 0.5%. Furthermore, common language, landlocked and distance significantly impact Afghanistan's total trade. The results suggest that Afghanistan needs to explore the ways and means to improve its trade relations with the countries further and improve its market share. The study proposed that Afghanistan should use trade as an economic development tool to flourish in the region and capture the markets to realise its maximum trade potential. This research recommends that South Asian and EU countries revise the tariff rates and other non-tariff barriers to boost trade and connectivity for a better trade future.

The benefits of global trade are primarily attributed to reducing trade distortions between trading partners. The anticipated promise of a progressive diminution in tariffs throughout the globe was, regrettably, steadily superseded by non-tariff measures (NTMs). However, the impact of these NTMs is only sometimes evident since it occurs in various disguises. NTMs significantly influence trade in the SAARC, mandating prompt attention. The question is how much internal trade will expand if NTMs are repealed. Based on statistics from 2015 to 2020, the study endeavours to quantify the impact of NTMs on Afghanistan's trade volume within the SAARC region, primarily targeting four export destinations (Bangladesh, India, Pakistan and Sri Lanka). Using trade freedom scores as a proxy for trade distortions, it has been determined that Afghanistan's magnitude of export earnings is significantly lower due to NTMs imposed by its importing trading partners. According to the findings, a 1% rise in tariffs and NTMs applied by importing countries diminishes Afghanistan's exports by 1.23%.

In contrast, the impact of tariffs alone lowers Afghanistan's exports by 1.13%. The incidence of NTMs also devoid actual Afghanistan exports by US$ 5.70 million, equal to a 0.029% loss of Afghanistan's GDP. The calculations also reveal that lowering or eliminating non-tariff barriers has diverse trade growth effects in different trade groupings. The study recommends a serious NTM-oriented trade policy dialogue that is liberal and guarantees regional integration, thereby promoting and ensuring the future of Afghanistan's economic laurels and stability.

Using different trade indices spanning 2018–2021, this chapter investigates Afghanistan's current patterns, prospects and barriers for intra- and inter-regional trade perspectives, emphasising the different pathways by which Afghanistan trades with Central Asian economies. The empirical findings demonstrate that the anticipated significance of trade between Afghanistan and Central Asia is double compared to the existing levels of trade. Furthermore, the analysis encompasses the categorisation of sectors based on the intensity of usage of production factors like resource, labour and technology. The analysis further elaborates on Afghanistan's trade potential with Central Asia and vice versa by highlighting the comparative advantage, diversification, complementarity and similarity in trade. The findings suggest that larger economies are rated higher than smaller ones as size and development level are essential factors in regional trade development. The most effective channels of regional trade development are price competitiveness measures, intra-industry trade and trade complementarities. These findings have a substantial influence on the development of different trade policy efforts to stimulate investment and trade within and among the two regions.

Recognising the significance of international trade in economic growth, this research explores the drivers of exports in South Asian Association for Regional Cooperation countries from 2008 to 2021. The study employs the export demand model and the augmented exports supply model and utilises pooled time-series data. This study questions whether export supply decisions are based on traditional trade model factors, emerging trading realities or macroeconomic variables. The model based on fixed effects evaluates the connection between exports and their possible drivers. Traditional export supply models suggest determinants like production capacity, variable cost and relative pricing influencing South Asian export supply performance substantially. Changes in trade, for example, have a substantial impact on export supply, demonstrating that the trade liberalisation procedure promotes growth in exports, compression in imports and technological advancement. The worsening state of the energy industry and growing levels of corruption have proved to be significant deterrents to export supply decisions. The results verify foreign direct investment's positive and medium influence on the expansion of exports. Other variables, however, such as GDP and its growth, Official Development Assistance (ODA), development expenditure, indirect taxation, labour supply and the exchange rate of currencies, have a positive impact on the flow of exports. Furthermore, the data corroborate the notion that increased savings have a significant beneficial influence on the flow of exports. The study proposes that concerned governments examine their export policies and adopt new policies adapted in accordance with changing circumstances with the goal of increasing and enhancing the performance of exports.

Export product concentration is common in developing nations, where raw materials and semi-manufactured commodities face rigid demand in international markets. This leads to the monopolisation of exports, particularly when targeting the developed world. Association of Southeast Asian Nations (ASEAN) and South Asian Association for Regional Cooperation (SAARC) nations have prioritised diversification to boost exports and per capita income, globalising their economies. The normalised Hirschman index is employed to analyse the determinants influencing the diversification of exports in ASEAN and SAARC countries from 2018 to 2021. Except for the fuel intensity variable, the results show that structural transformation, competitive advantages, industrial sector expansion, institutional capability, local investment development, financial stability and overall economic performance positively promote export diversification intensity. The key result is that institutional strength helps nations rapidly diversify their exports, highlighting the importance of structural transformation in boosting exports and globalising economies.

The trading expenses encountered domestically and across borders have a detrimental influence on global trade. Higher trade costs hamper trade and limit the benefits of trade liberalisation. The current research applies Novy's micro-founded trade cost measure (2013) to estimate global trade costs connected with Afghanistan, along with the factors that influence trade costs. Based on the investigation, trade in agriculture costs is significantly higher compared to the non-agricultural. As a consequence, focusing on agricultural trade facilitation would be advantageous.

Furthermore, enhancing and expediting trade facilities in trading areas are top priorities for government intervention to reduce trade costs. Focusing on free trade agreements and better shipment communication with trade partners increases transportation routes efficiently, cutting time and other expenses. The study proposes that the World Trade Organization's trade facilitation agreement be effectively implemented, administrative burdens at entry points minimised, non-tariff barriers (NTBs) be simplified and harmonised and soft infrastructures be established utilising current technologies.

The fundamental purpose of this study is to analyse the determinants of higher education quality in Afghanistan based on insights from student perceptions. Understanding this part holds paramount importance in enunciating sound policies for the smooth functioning of the higher education sector of Afghanistan.

This study aims to classify students' background and demographic data, distinguishing their perception of higher education quality using a deductive research approach. A sample of 418 students from five top private universities in Afghanistan was chosen to assess their perceptions of higher education dimensions by employing a multinomial regression analysis.

The findings indicate that extracurricular activities, students' scholarship status, parents' education, age, previous academic results and the university they attend significantly impact their perception of the quality of higher education.

This research is essential for education policymakers and university administrators. These findings can be replicated to develop regulations and target specific groups of students to ensure a favourable academic environment and boost the brand image of their universities. This would ensure long-term quality improvement and assurance outcomes, allowing higher education institutions to compete with regional and international institutions.

This study contributes to identifying the determinants of higher education quality based on the perceptions of the students in Afghanistan.

Afghanistan has experienced capital flight, which has long perplexed policymakers and planners. There have been widespread concerns about capital's ‘paradoxical’ character, which jeopardises national welfare. In this regard, this study envisages examining the nature and prevalence of reverse capital flight in Afghanistan by employing two methods viz direct approach (Cuddington's Model) and indirect approach (World Bank approach and Morgan approach). The findings highlight four main reasons for reverse capital. These include facilitating the whitening of black money (money laundering) which has been previously illegally flown out of the country; second, it allows import tax evasion and the realisation of unnecessary export rebates and refunds; third, it facilitates the avoidance and incidence of Non-Tariff Measures (NTMs) on imported goods; and finally, it allows for the concealment of investment in the underground economy. The study recommends maintaining a thorough record of illegal cash flows in Afghanistan since the nature of trade in Afghanistan is difficult owing to the simultaneous flow of illicit capital. Furthermore, the unrecorded private investments must be adjusted for illegal capital flows resulting from trade mis-invoicing, thus crucial for policy enunciation.