已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

How does political risk matter for foreign direct investment into Arab economies?

外商直接投资 政治风险 政治 经济 政治不稳定 一致性(知识库) 面板数据 投资(军事) 国际经济学 政治经济学 业务 政治学 国际贸易 宏观经济学 法学 几何学 数学 计量经济学
作者
Riadh Ben Jelili
出处
期刊:Middle East Development Journal [Taylor & Francis]
卷期号:15 (2): 291-310
标识
DOI:10.1080/17938120.2023.2254190
摘要

ABSTRACTThe present paper extends previous work by Burger et al. ([2016]. Risky business: Political instability and sectoral greenfield foreign direct investment in the Arab world. World Bank Economic Review, 30(2), 306–331. https://doi.org/10.1093/wber/lhv030) that has attempted to investigate empirically the impact of political instability on FDI flows into the Arab host region. Specifically, based on gravity model approach and annual panel dataset on bilateral FDI projects in Arab countries from 2003 to 2018 (12,240 projects), it explores the following research questions: how does a host country’s political instability and institutional fragility affect the bilateral inward FDI project? Is there any sectoral specificity to this impact if it exists? Which component of political risk poses the most threat for the foreign investor in a specific sector? The empirical investigation highlights the negative, significant and robust impact of perceived political risk in the Arab host-country. It also establishes that there is substantial heterogeneity in foreign investment reactions to political risk reflecting both differences in the component of political risk and sectoral characteristics.KEYWORDS: Gravity modelforeign direct investmentpolitical riskArab countriesJEL classification: C23F21F23P48 AcknowledgementsI would like to thank the anonymous reviewer, who generously shared his ideas and made this publication possible. I am particularly grateful for the valuable suggestion on how to improve the overall structure and consistency of the first version of the present paper.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 This concern is supported by the global investment competitiveness survey results, commissioned by the World Bank Group to apprehend the perceptions of international investors on the role of investment climate factors in guiding their FDI decisions. These results reveal that more than three-quarters of investors surveyed encountered some type of PR in their investment projects in developing world, including Arab countries (World Bank, Citation2017). Growing global instability and increased investments in developing countries are thereby driving more demand for PR insurance, as evidenced by the considerable increase of the market capacity for PR insurance coverage over recent years. It has in fact reached USD 3.2 billion in 2021, almost 2.7 times the capacity of USD 1.2 billion available a decade ago (BPL Global Market Insight, Citation2021).2 This refers to the fact that colonial ties, religious affinity and common language are especially influential on FDI.3 Such as Noorbakhsh et al. (Citation2001), Campos and Nugent (Citation2003), Li and Vashchilko (Citation2010) and Blonigen and Piger (Citation2014).4 See, for example, Biglaiser and DeRouen (Citation2006) and Asiedu and Lien (Citation2011) as regards the positive relationship between conflict and FDI, and Witte et al. (Citation2017) as regards the insensitivity of resource-related FDI to political conflict.5 When expected benefits of investing in a specific sector are high, foreign firms are often most eager to take more risk to capture these rents and are much less sensitive to weak institutional structures. Furthermore, sectors differ in terms of natural resource requirements that may be met only in certain specific geographical locations where the presence of limited investment opportunities may cause a relative insensitivity of foreign investors to political risks involved.6 The source-country characteristics are considered only for robustness check and the results are significantly different from those obtained with the baseline model.7 The four broad sectors are resources and energy, non-tradable manufacturing and services, tradable manufacturing and tradable services.8 In this regard, it is worth noting that during the period 2003–2018 the greenfield mode of foreign capital entry was the mode preferred by multinational investors in the Arab countries, accounting for more than 85% of total FDI projects in average. Moreover, many policymakers, be they from Arab region or elsewhere, are particularly interested in attracting this component of FDI inflows, which would more likely affect growth and job creation via increased physical investment.9 Theoretical foundations for the gravity model have been established by a series of papers, in particular Anderson and van Wincoop (Citation2003). As regards the FDI flows, intuition and theory suggests that MNE and FDI behavior is likely much more complicated to model than trade flows (Blonigen, Citation2005).10 For details, see: https://unctad.org/en/PublicationChapters/wir2018chMethodNote_en.pdf.11 Detailed Results are available upon request.12 The PR proxy, whether considered as a composite indicator or representative for each specific category of PR, must be forward looking and should reflect political risk in a narrow sense, as opposed to a broad country risk. This is why PR indices developed by the International Country Risk Guide (ICRG) and compiled by the PRS Group are used. Independently acclaimed and sourced by researchers examining in what manner political risk/instability affects FDI (see, for example, Alfaro et al., Citation2008; Al-Khouri & Abdul Khalik, Citation2013; Asiedu & Lien, Citation2011; Baek & Qian, Citation2011; Busse & Hefeker, Citation2007; Howell & Chaddick, Citation1994; Méon & Sekkat, Citation2012), the ICRG has become one of the most prominent time-series databases of country risk analysis. Some authors find that PRS indices are more reliable and have power to differentiate/predict political risk effects better than other major political risk information providers (see, for example, Bekaert et al., Citation2014; Click & Weiner, Citation2010; Hoti, Citation2005; Howell & Chaddick, Citation1994). One drawback of using the ICRG is that it may suffer from potential perception bias, since it only draws information from one source. For a discussion on the shortcomings with these types of data, see, for example, Svensson (Citation2003).13 Detailed Results are available upon request.14 These control variables have been taken from several sources including CEPII (Centre d'Etudes Prospectives et d'Informations Internationales) database (for distance, colonial link, common language and Regional Trade Agreement), ICSID (International Centre for the Settlement of Investment Disputes) database (for Bilateral Investment Treaty) and official UNCTAD online database (for relative size, trade intensity and industry).15 For details, see Chetty et al. (Citation2011), Chetty et al. (Citation2013), Stepner (Citation2014).16 Greenfield FDI series are deflated using the GDP deflator in the host country (2010 = 100).17 The estimation results support a negative and statistically significant Regional Trade Agreement (RTA) effect. This would seem a reasonable result given that RTAs liberalize trade in the first place, if no measures specific to foreign investors in terms of FDI liberalization were in place. It is consequently more likely that source-country exports replace FDI flows from the source country to host country parties of the RTA. In this regard, previous literature provides a highly ambiguous picture on the impact of trade and investment agreements on FDI (for overviews of the relevant literature, see UNCTAD, Citation2009; Sauvant & Sachs, Citation2009).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ABystander完成签到,获得积分10
刚刚
2秒前
我是老大应助孤独冬云采纳,获得10
2秒前
2秒前
852应助活泼的断秋采纳,获得30
3秒前
4秒前
岳翔宇完成签到,获得积分10
6秒前
Lucas应助林懋采纳,获得10
7秒前
Li发布了新的文献求助10
7秒前
ABystander发布了新的文献求助20
9秒前
kk_1315完成签到,获得积分0
9秒前
冷艳玉米完成签到,获得积分10
9秒前
Koda完成签到,获得积分10
11秒前
初景发布了新的文献求助10
12秒前
张一迪发布了新的文献求助10
13秒前
13秒前
852应助郭莹莹采纳,获得10
15秒前
FashionBoy应助Li采纳,获得10
17秒前
TangSEU发布了新的文献求助10
17秒前
科研通AI6.3应助aa采纳,获得10
18秒前
NexusExplorer应助诚心金渐基采纳,获得10
20秒前
热心又蓝完成签到,获得积分10
22秒前
61发布了新的文献求助50
22秒前
Lyzanilia发布了新的文献求助10
22秒前
咕噜噜噜完成签到 ,获得积分10
24秒前
24秒前
24秒前
赘婿应助D调的华丽采纳,获得10
27秒前
27秒前
共享精神应助D调的华丽采纳,获得10
27秒前
CipherSage应助D调的华丽采纳,获得10
27秒前
脑洞疼应助D调的华丽采纳,获得10
27秒前
科目三应助D调的华丽采纳,获得10
27秒前
可爱的函函应助D调的华丽采纳,获得10
27秒前
Lucas应助D调的华丽采纳,获得10
28秒前
小二郎应助D调的华丽采纳,获得10
28秒前
研友_VZG7GZ应助D调的华丽采纳,获得10
28秒前
隐形的故事完成签到 ,获得积分10
28秒前
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7596840
求助须知:如何正确求助?哪些是违规求助? 9173533
关于积分的说明 19638891
捐赠科研通 7174120
什么是DOI,文献DOI怎么找? 3268175
关于科研通互助平台的介绍 2432770
邀请新用户注册赠送积分活动 2261378