Macroeconomic Factors Affecting FDI Inflows into Emerging Economies—A Panel Study

Author(s):  
I. Ghoshal ◽  
S. Jog ◽  
U. Sinha ◽  
I. Ghosh
2021 ◽  
pp. 097135572098143
Author(s):  
Aizhan Tleuberdinova ◽  
Zhanat Shayekina ◽  
Dinara Salauatova ◽  
Stephen Pratt

Tourism development contributes to economic development. In emerging economies like Kazakhstan, tourism development needs active entrepreneurship. As the country emerges from the post-Soviet era, there has been an increase in economic development and prosperity. Entrepreneurship in the tourism sector can drive economies forward through the creation of new tourism and hospitality businesses. The macroeconomic environment can influence entrepreneurial activity. We use an autoregressive distributed lag (ARDL) model to examine the impact of macroeconomic factors on tourism entrepreneurship in Kazakhstan. Using data from 1996 to 2018, we find that there is a positive short-run relationship between wages in the tourism sector and entrepreneurship, suggesting that wage growth in the sector attracts entrepreneurs. In the long run, however, tourism sector wages have a negative relationship with entrepreneurship, suggesting that these higher wages represent a higher cost to entrepreneurship. There is also a strong positive relationship between national income and tourism entrepreneurship in Kazakhstan. Implications of macroeconomic policy changes for Kazakhstan and other emerging economies are discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sucheta Agarwal ◽  
Veland Ramadani ◽  
Leo-Paul Dana ◽  
Vivek Agrawal ◽  
Jitendra Kumar Dixit

Purpose The ascent of women enterprising community (WEC) in a couple of decades draws the attention of various government and non-government bodies. Literature has mentioned various studies that focus on the factors affecting the success or failure of women entrepreneurs (WEs), but understanding of the ranking of the factors depending on the experiences of different WEs is needed. This study aims to identify the significant factors essential for the growth of WEC. Design/methodology/approach This study examines the factors through interview of 33 WEs having different entrepreneurial experiences (less than 1 year, more than 1 year but less than 10 years and more than 10 years of experiences) from different regions of Uttar Pradesh, India, and with the help of analytical hierarchical process, ranks the factors affecting the sustainable growth of WEs. Findings Through analysis, significant factors have been identified such as determination, education, entrepreneurial resilience, personal satisfaction and provide employment, and these factors have been analysed according to the different experiences of WEs. An investigation of ranking these factors of WEC, especially in the emerging nations, can assist policymakers in designing projects that improve the mindfulness associated with women enterprise and define the compelling methodologies. Practical implications The growth of the WEC is significantly affected by gender orientation ways of thinking as driven by entrepreneurship models. Originality/value This study gives a direction to policymakers by emphasizing on significant factors of various stages of enterprise development for the encouragement of WEs in the emerging economies.


2021 ◽  
Vol 32 (3) ◽  
pp. 234-246
Author(s):  
Ksenija Denčić-Mihajlov ◽  
Vinko Lepojević ◽  
Jovana Stojanović

Bearing in mind the different nature and the impact of various types of foreign direct investments (FDI) on the one hand, and the specific macroeconomic environment in the post-socialist countries on the other hand, in this paper we reexamine the selected macroeconomic factors that affect the two types of FDI inflows (cross-border mergers and acquisitions and greenfield FDI) in four countries of the former Socialist Federal Republic of Yugoslavia. The study employs the balanced panel data framework and covers twelve-year period (2006-2017). Having performed the Hausman test, we use the random effect model and provide evidence that: (1) the key FDI macroeconomic determinants in stable business conditions, examined in numerous research studies, can have a different impact on FDI in times characterized by unstability and financial crisis, (2) some determinants of FDI inflows have different importance and direction in the case of cross-border M&A and greenfield FDI. Our findings are relevant for policymakers who should reconsider the key factors that fuel the FDI inflows towards their developing economies.


2018 ◽  
Vol 24 (5) ◽  
pp. 1955-1978 ◽  
Author(s):  
Weihua Su ◽  
Dongcai Zhang ◽  
Chonghui Zhang ◽  
Josef Abrhám ◽  
Mihaela Simionescu ◽  
...  

Considering the role of foreign direct investment (FDI) inflows in the sustainable development of a country, the main aim of this paper is to identify some macroeconomic factors that positively or negatively influence FDI in Visegrad group countries after the European Union (EU) enlargement in 2004. We employed two types of approaches in our analysis: i) time series and ii) panel data approach. According to the generalized ridge regressions estimated in Bayesian framework, the perceived corruption was a factor that influenced FDI in all the countries. In Poland, Czech Republic and Slovakia corruption came through as a serious obstacle for FDIs since 2005, but this was not the case for Hungary. Even if Hungary is perceived as a country with high influence, foreign investors seem no to care about this fact and are more interested in the quality of human resources and the possibility to increase exports. Our panel approach based on a panel ARDL model identified a significant relationship between FDI, corruption index and labour force with advanced education however this causality was only detected in the long run. According to the Granger causality in panel, the attraction of FDI inflows succeeded in generating changes in total tax rate, but the issues related to corruption were not reduced at an acceptable level for foreign investors in Poland, Slovakia, and the Czech Republic.


Author(s):  
Debabrata Mukhopadhyay ◽  
Dipankar Das

This chapter attempts to investigate the effect of military expenditure on FDI inflows in the 15 emerging market economies over the year 2002 to 2015. Military expenditure takes away scarce public resources, which could have been used for the development of crucial physical and social infrastructure leads to have a negative impact on FDI inflows. The authors have followed both the static and dynamic panel data methodology along with other relevant macroeconomic variables for this exercise. They have found from their analysis that military expenditure is statistically significant on FDI inflows in emerging economies over the year 2002 to 2015. The authors have also examined the relationship between military spending and FDI inflows in the context of economic growth across the emerging economies during the period 2002 to 2014. It has also been found that the military expenditure has a significant impact on FDI inflows in special reference to BRICS countries.


2020 ◽  
Vol 12 (17) ◽  
pp. 7057 ◽  
Author(s):  
Jaewon Jung

While many important links between institutional quality and foreign direct investment (FDI) inflows and/or between inward FDI and economic development through productivity growth have been uncovered, the full links between emerging and advanced economies are not yet well understood. This paper develops a model of FDI with an explicit distinction between the two economies where domestic and multinational firms using different technologies compete on the final good market and highlights the institutional quality–FDI–productivity link within a unified theoretical general equilibrium framework. We show that an improvement of institutional quality in the emerging economies induces pervasive technology-upgrading effects in the advanced economies, which generates aggregate productivity gains.


2016 ◽  
Vol 6 (4) ◽  
pp. 79
Author(s):  
Muhammad Afaq Haider

<p>Foreign Portfolio Investment (FPI) plays vital role in prosperity of any economy. The importance of FPI becomes even more crucial when, the subject country is in its developing phase, and in the process of exhausting its resources which are not utilized yet. Moreover, do these factors have similar effect on FPI across counties or not? We have used Multiple Linear Regression Models for China, India, Pakistan and Bangladesh, being emerging economies within the same region to examine FPI’s determinants. The study found that GDP growth, External Debt, Population growth, and Inflation are the main factors that affect FPI. Moreover, it is also found that there is different relation of similar factor across the countries, which is due the socio-economic, geographic, and geo-political differences among the subject countries.<strong></strong></p>


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