FDI in Retail Sector in South Asia: A Case of India

Author(s):  
Badar Alam Iqbal ◽  
Munir Hassan ◽  
Bhawana Rawat

Foreign Direct Investment (FDI) has become the necessity of every nation as it does accelerate growth in an economy. FDI is double edge weapon as it cuts both ways. It supplements the resources of the host country and also may replace resources in the host country. South Asia is a region wherein FDI has been restricted in the retail sector where as South Asian region is the region of shopkeepers. Hardly 5 per cent of the retailing is in the organized sector and the remaining 95 per cent is unorganized sector. Hence, the biggest issue in South Asia in general and India in particular is whether to allow FDI in the retail sector. Allowing FDI in retail sector would create a plethora of new and modern retailing to the consumers but may generate unemployment to the enormous people in the region. With this back drop, the major objectives of this paper are to highlight the scenario of FDI in retail in South Asia, focusing specifically on India. The paper, as such, is divided into six sections. Section I deals with the introduction. Section II enlists the objectives of the paper to be looked at. Section III deals with the methodology adopted in the study. Section IV highlights FDI scenario in retail sector in South Asian nations. Section V analyses a detailed study of FDI in retail sector in India. Lastly, Section VI includes conclusions that are drawn from the study.

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3470
Author(s):  
Xueqing Kang ◽  
Farman Ullah Khan ◽  
Raza Ullah ◽  
Muhammad Arif ◽  
Shams Ur Rehman ◽  
...  

In selected South Asian countries, the study intends to investigate the relationship between urban population (UP), carbon dioxide (CO2), trade openness (TO), gross domestic product (GDP), foreign direct investment (FDI), and renewable energy (RE). Fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models for estimation were used in the study, which covered yearly data from 1990 to 2019. We used Levin–Lin–Chu, Im–Pesaran–Shin, and Fisher PP tests for the stationarity of the variables. The outcomes of the panel cointegration approach looked at whether there was a long-run equilibrium nexus between selected variables in Pakistan, Bangladesh, India, and Sri Lanka. The FMOLS approach was also used to assess the relationship, and the results suggest that there is a significant and negative nexus between FDI and renewable energy in south Asian nations. The study’s findings reveal a strong and favorable relationship between GDP and renewable energy use. In South Asian nations (Sri Lanka, Pakistan, India, and Bangladesh), the FMOLS and DOLS findings are nearly identical, but the authors used the DOLS model for robustification. According to the findings, policymakers in South Asian economies (Sri Lanka, Pakistan, India, and Bangladesh) should view GDP and FDI as fundamental policy instruments for environmental sustainability. To reduce reliance on hazardous energy sources, the government should also reassure financial sectors to participate in renewable energy.


2016 ◽  
Vol 16 (3) ◽  
pp. 245-267 ◽  
Author(s):  
Oleg Mariev ◽  
Igor Drapkin ◽  
Kristina Chukavina

Abstract The aim of this paper is twofold. First, it is to answer the question of whether Russia is successful in attracting foreign direct investment (FDI). Second, it is to identify partner countries that “overinvest” and “underinvest” in the Russian economy. We do this by calculating potential FDI inflows to Russia and comparing them with actual values. This research is associated with the empirical estimation of factors explaining FDI flows between countries. The methodological foundation used for the research is the gravity model of foreign direct investment. In discussing the pros and cons of different econometric methods of the estimation gravity equation, we conclude that the Poisson pseudo maximum likelihood method with instrumental variables (IV PPML) is one of the best options in our case. Using a database covering about 70% of FDI flows for the period of 2001-2011, we discover the following factors that explain the variance of bilateral FDI flows in the world economy: GDP value of investing country, GDP value of recipient country, distance between countries, remoteness of investor country, remoteness of recipient country, level of institutions development in host country, wage level in host country, membership of two countries in a regional economic union, common official language, common border and colonial relationships between countries in the past. The potential values of FDI inflows are calculated using coefficients of regressors from the econometric model. We discover that the Russian economy performs very well in attracting FDI: the actual FDI inflows exceed potential values by 1.72 times. Large developed countries (France, Germany, UK, Italy) overinvest in the Russian economy, while smaller and less developed countries (Czech Republic, Belarus, Denmark, Ukraine) underinvest in Russia. Countries of Southeast Asia (China, South Korea, Japan) also underinvest in the Russian economy.


2021 ◽  
Vol 94 (3) ◽  
pp. 519-557
Author(s):  
Yue Lu ◽  
Linghui Wu ◽  
Ka Zeng

This paper examines the effect of bilateral investment treaties (BITs) in promoting Chinese outward foreign direct investment (COFDI) in the presence of rising economic policy uncertainty in China's partner countries. We postulate that the signing of BITs should help stimulate COFDI because the treaties send a credible signal to foreign investors about the host country's intent to protect Chinese investment, and make it more difficult for the host country to violate its treaty obligations. BITs that contain rigorous investment protection and liberalization provisions, in particular, should be more likely to encourage COFDI as they directly influence Chinese investors' expectations about the stability, predictability, and security of the host market. However, while BITs generally promote COFDI, host country economic policy uncertainty may also limit their effectiveness. This is because uncertainty tends to undermine investor confidence, trigger capital flows from high- to low-risk countries, and dampen commercial activities. Poisson pseudo-maximum likelihood (PPML) estimation models of the determinants of COFDI to 188 countries between 2003 and 2017 lend substantial support to our conjectures.


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