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Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and, conversely, innovative thought structures and attitudes have almost always forced economic institutions and modes of behaviour to adjust. We learn from the history of economic doctrines how a particular theory emerged and whether, and in which environment, it could take root. We can see how a school evolves out of a common methodological perception and similar techniques of analysis, and how it has to establish itself. The interaction between unresolved problems on the one hand, and the search for better solutions or explanations on the other, leads to a change in paradigma and to the formation of new lines of reasoning. As long as the real world is subject to progress and change scientific search for explanation must out of necessity continue.

The purpose of this paper is to examine the economic development strategies of Nepal and Bhutan to understand the economic factors that have contributed to economic growth.

After a brief discussion of each country's modern history, their economies are examined together with their development strategies during the past half century. Standard economic growth models for Nepal and Bhutan are developed and estimated. To ensure the stationarity of the data series, tests of unit root are conducted. Further, a cointegration test is conducted and an appropriate error‐correction model is developed.

The results of the estimations reveal that domestic capital has been a significant source of economic growth in Nepal whereas foreign aid has not had any appreciable effect on growth. In the case of Bhutan, foreign assistance has been a significant source of growth while domestic capital has not.

Bhutan and Nepal also differ in terms of non‐economic factors such as culture, language, politics, and religion. These factors may also help to explain the difference in economic performance of these countries. While important, these issues are beyond the scope this paper and indicate directions for further research.

It is one of the first attempts to compare the economic growth strategies of Nepal and Bhutan. It may provide useful insight to policymakers and others interested in economic growth in Nepal, Bhutan and other developing countries.

This paper wants to illustrate a development sequence of a number of interrelated elements into a strongly tied total transport mechanism for individual travelling. The example is drawn from the geographically far‐flung mechanism which serves international tourist travel and especially the relationships, more or less rigid at different periods of the evolution, of the travel system, between travel‐generating and destination areas. The interrelationships which are depicted are in the author's mind quite similar to the economic and structural regional inter‐dependence between developed (metropolitan) and developing parts of the world. Therefore, the various complaints that have been voiced about widening gaps between the haves and have nots, on an international scale, and that are based on comparisons between national incomes etc. seem also to be applicable to the characteristics of the travel structures and systems within which the international tourist flows take place. The notions of center/periphery relationships could, however, also be seen on other geographic scale levels.

The purpose of this paper is to assess the effects of the Economic Cooperation Framework Agreement (ECFA) on the grouper fish markets in Taiwan and mainland China.

A stochastic simulation model is developed in such a way that the oligopoly or monopoly power of grouper fish exporters plays a role for having different impacts of the ECFA.

Taiwan's grouper sector benefits considerably from the implementation of the ECFA tariff reductions. Export of the Taiwanese grouper fish to mainland China and the overall gross revenue of the Taiwanese grouper fish farmers are simulated to increase up to 4.04 and 4.54 percent, respectively, due to a 5 percent tariff reduction implemented by the ECFA. The authors further find that a larger degree of grouper fish exporters’ market power would result in the ECFA having a lesser impact on the Taiwanese and mainland Chinese grouper fish markets.

The findings suggest that Taiwan and mainland China should further negotiate reduction in tariffs over other agricultural products and/or other product categories.

This study is the first empirical analysis to examine how the grouper industries on the “Early Harvest List” have responded to the ECFA tariff reductions.

The impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.

A well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.

The findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.

The novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.

The study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.

COVID-19 pandemic has drastically altered and shaped the world in the past two years. Almost every aspect of life has been affected by the pandemic including World Tourism and Travel. One of the major strategies of the national governments across the world to contain the pandemic was to restrict the movement of people thus directly affecting the tourism industry. As the industry slowly emerges from the shadows of the pandemic, this chapter gives an overview of the impact on the travel industry, measures adopted by some countries and broad strategies to make the sector resilient for the times to come. This chapter provides a timely summary of global strategies to fight the impact of the pandemic with a focus on the tourism sector. In doing so, we also provide insights into the Indian travel industry.

This paper aims to trace the contours of Islamic political economy (IPE) for last four decades with the help of bibliometric analysis. This method does not focus on in-depth literature. However, it reviews more material content of the published papers in the field, generally including the number of publications, authors, title, H-Index and authors’ affiliation.

The authors use biblioshiny by R in conducting bibliometric analysis. Based on the results of analysis, the authors only found 39 relevant documents to the topic with the help of keyword of “Islamic political economy”. The authors analyse the data and visualize it into bibliometric images for the convenience of the readers.

There are 39 documents on IPE in the annual scientific production. The year 1980 had the lowest productivity at 3% while the year 2007 showed an increase in scientific productivity by 13%. The most significant increase in production occurred between 2014 and 2015 by 8%, while the most significant decline occurred between 2007 and 2008 by 10%. The most significant contributors are Akan, T., Choudhury, M.A. and Asutay, M. According to the Corresponding Author’s Country, the UK has eight articles on IPE. Humanomics is the most influential Journal, with six documents.

This research only examines documents sourced from Web of Science and Scopus under the title “Islamic political economy” and does not include articles from other sources. This research has implications for future researchers and suggests a shift in recent research on IPE towards exploring current realities and expanding beyond traditional economic and political aspects. The goal is to gain a comprehensive understanding of Islam’s role in shaping economic and political systems, promoting inclusive sustainable development and social justice, and exploring its relationship with broader political and economic systems.

IPE has become a trendy topic in the early days, the second half of the 20th century, during the revival of the Islamic mode of finance and development. However, with time, the discussion on this topic appeared less in scientific and academic publications; this issue needs an overview of how far this discipline has evolved. This work aims to identify future research trends in this area. Scholars should investigate articles by author, institution, country, databases, data sources with high-impact factors and objective metrics to get new perspectives.

Capital structure is an important corporate financing decision, particularly for companies in emerging economies. This paper attempts to understand whether the pandemic had any significant impact on the capital structure of companies in emerging economies. India being a prominent emerging economy is an ideal candidate for the analysis.

The study utilizes three leverage ratios in an extended market index, BSE500, for the period 2015–2021. The ratios considered are short-term leverage ratio (STLR), long-term leverage ratio (LTLR) and total leverage ratio (TLR). A dummy variable differentiates the pre-epidemic (2015–2019) and pandemic (2020–2021) period. Control variables are used to represent firm characteristics such as growth, tangibility, profit, size and liquidity. Dynamic panel data regression is employed to address endogeneity.

The findings point out that Covid-19 has had a significant, negative effect on LTLR, while the impact on STLR and TLR was insignificant. The findings indicate that companies based in a culturally risk-averse environment, such as India, would reduce the long-term debt to avoid bankruptcy in times of uncertainty.

The study covers the impact of the pandemic on Indian companies. Hence, generalization of the findings to global context might not be valid.

To maintain economic growth in the post-crisis period, Indian policymakers should ensure accessibility to low-cost capital. The findings provide impetus to deepen the insignificant corporate bond market in India for future economic revival.

Developing countries are struggling to revive the economies postpandemic. This is particularly true for Asian economies which are heavily reliant on banks for survival. This research finds evidence to utilize bond market as a source of raising capital for economic revival.