THE GLOBAL MERGERS AND ACQUISITIONS MARKET: STATUS AND FEATURES OF TRANSFORMATION
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Notice bibliographique
Résumé
Objective. The objective of the present study is to analyse the state and peculiarities of the transformation of the global M&A market in 2013-2022. Methods. The following methods and techniques of cognition were used: analysis and synthesis, induction and deduction (to substantiate the importance and role of the study of the status and features of the global M&A market), generalisation and systematisation (to identify the main indicators of the global M&A market), analysis of time series (to identify trends and patterns of development, features of transformation of the global M&A market in 2013-2022), graphical (for a visual representation of the peculiarities of the global M&A market development). Results. Based on the analysis of the data of the United Nations Conference on Trade and Development (UNCTAD), the author found that in 2013-2022 the global M&A market was characterised by dynamic development, in particular, an increase in the aggregate value and number of M&A transactions concluded globally; significant structural imbalances in development; significant variability and growth in the average value of M&A transactions observed in different groups of countries and different sectors of the economy. Thus, it is established that in 2013-2022 there was an increase in the total value of M&A transactions concluded in the world - the total value of M&A transactions concluded in the world increased by more than USD 444 billion and amounted to USD 706.6 billion as of 2022. Increase in the number of M&A transactions - the number of M&A transactions in the world increased by 2827 transactions to 7763 transactions as of 2022. The article establishes that the most dynamically growing structural element of the global M&A market is the relevant market of developed countries. Developed countries are significantly ahead of developing countries both in terms of value and quantity of M&A transactions. In macro-regional terms, the highest aggregate value and number of M&A transactions were characteristic of Europe (on average, 43.2% of the aggregate value of M&A transactions in the world, 50.1% of the total number of M&A transactions in the world), in particular the European Union (on average, 23.9% and 33.9%, respectively); Americas, in particular North America (on average 33.4% and 22.8%, respectively); Asia (on average 11.3% and 11.5%, respectively), in particular East and South-East Asia (on average 6.98% and 6.7%, respectively).In terms of countries, the United Kingdom, the United States, Australia, Sweden, France, Canada, Switzerland, Saudi Arabia, the Netherlands, China, Spain, Germany and Denmark accounted for the largest aggregate value and number of M&A deals. These countries accounted for more than 50% of the total value and number of M&A transactions. In terms of sector, the tertiary sector of the economy accounted for the largest total value and number of M&A transactions. On average, the tertiary sector accounted for 51.1% of the total value and 70.4% of the total number of M&A deals concluded globally. In terms of industry sectors, the largest aggregate value and number of M&A transactions were in the following industries: information and communications; mining; finance and insurance; transportation and storage; pharmaceuticals, electronics and electrical equipment; trade; professional services; food, beverages and tobacco; and real estate. On average, these industries accounted for more than 70% of the total value and number of M&A transactions. It was determined that the average value of M&A transactions in the world increased by an average of USD 37.8 million and amounted to USD 91 million in 2022. The average value of M&A deals in emerging markets was higher than the average value of the corresponding deals both globally and in developed countries. The average value of M&A transactions in the primary sector of the economy is significantly higher than the value of M&A transactions in other sectors of the economy.
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
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