Modelling the Country Risk of Zambia

Journal of Political Risk, Vol. 10, No. 3, March 2022

Simon Muwando
University of Lusaka

Victor Gumbo
University of Botswana

Gelson Tembo
University of Zambia

Abstract

The world has experienced a dramatic increase in the flow of transnational investments following increased internationalization and globalization of firms in the previous decade. Country risk exposure is a cause for concern for all the institutions that are engaged in multinational trade and finance. The main objective of this study is modelling Zambia’s country risk. A mixed method with concurrent research design was employed. Personal interviews were the main instrument for collection of primary data and snowball sampling was used to select the interviewees. Secondary data was collected from the Lusaka Stock Exchange (LSE), Ministry of Finance, Bank of Zambia and Central Statistical Office. An autoregressive distributed lag technique was employed on annual data for the 1994 to 2018 period. This approach was chosen as it works best for small samples. The findings of the study revealed that the short run drivers for country risk of Zambia are beta, current account balance, political risk, unemployment rate and weighted short term interest rates. Current account balance was found to positively affect country risk while beta, political stability, and weighted short term interest rates negatively influence it.  The study findings established that the long run determinants of country risk of Zambia are current account balance, betas, political risk, and unemployment rate. From the study findings, current account balance positively influences country risk of Zambia whereas beta, and political stability negatively influence country risk of Zambia. The study concluded that the major determinant of country risk of Zambia in the short run and long run is current account balance as it has significant positive influence. Effective policies need to be implemented by authorities to manage or reduce persistent current account deficits and political risk, in order to manage country risk.

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The Karakax List: Dissecting the Anatomy of Beijing’s Internment Drive in Xinjiang

Journal of Political Risk, Vol. 8, No. 2, February 2020

Figure 1. The first (redacted) page of the 137-page PDF. Source: Uyghur Human Rights Project.

Dr. Adrian Zenz [1]
Senior fellow in China Studies
Victims of Communism Memorial Foundation 

Abstract

The “Karakax List”, named after the county of Karakax (Qaraqash) in Hotan Prefecture, represents the most recent leaked government document from Xinjiang. Over 137 pages, 667 data rows and the personal details of over 3,000 Uyghurs[2], this remarkable document presents the strongest evidence to date that Beijing is actively persecuting and punishing normal practices of traditional religious beliefs, in direct violation of its own constitution.

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Making Political Risk More Politically Relevant

Journal of Political Risk, Vol. 7, No. 12, December 2019

Ukraine’s Independence Square in Fall 2013, taken only months before it erupted into violent protests culminating in the overthrow of the sitting government. A busy commercial and tourist hub that day, there was no sign of the war zone it would soon resemble. Photo: Alicia Ellis.

Alicia N. Ellis, Ph.D.
Arizona State University

Executive Summary

This report assesses the state of the academic literature on political risk and evaluates its contribution to understanding and mitigating risk for both business and political professionals. This assessment concludes that policy-relevant research has been in some cases limited and, in most cases, ineffectively communicated. Several major problems contribute to the persistent disconnect between policy, industry, and academia. Political scientists do not approach their research questions in a communicable way, nor do they often take the necessary step of connecting their research to an end use. Risk rating organizations have become overly reliant on cross-national aggregate models. Mixed methods research has been applied inappropriately and thus, ineffectively. Systematic biases have been introduced to models at a structural level, and conceptual difficulties plague some of the most basic questions for risk analysts.

Despite these problems, opportunities do exist for bridging the gap between research and practice, and producing policy-relevant research. This article proposes some recommendations for moving forward. Research questions must be structured in new ways to reflect the needs of end consumers that include non-academic professionals. Several research agendas in need of a practical-minded researcher are put forth, including the rise of China and what it means for global trade patterns, the ‘buy local’ movement spreading across the United States, and the problem of democratic consolidation. For each problem identified, the article makes suggestions for how we might reframe the questions in a way that produces more useful research on political risk. Continue reading

US-China Trade War: Time is on the Side of the US

Journal of Political Risk, Vol. 7, No. 5, May 2019

Ho-fung Hung
Johns Hopkins University

The US-China trade war has unfolded for nearly a year now. After some false hope of a quick deal, China’s backpedaling in May from earlier promises to stop requiring a technology transfer from US firms in China, and to do more to protect intellectual property, obliterated such hope. Trump’s reaction of raising new tariffs on Chinese goods, followed by China’s retaliation in kind, led to an escalation.

Bipartisan Support of Trade War with China

This escalation of the trade war, interestingly, has not unleashed criticism of President Trump in the US. Sources from the US negotiation team and those from its Chinese counterparts both verified China’s last-minute withdrawal of earlier commitments. There is little doubt that Beijing rather than Trump is to be blamed for this re-escalation. Trump’s strong response to the Chinese backpedaling instead got rare bipartisan support. Congress Democrats are on the same side with the President, judging by Senate Minority Leader Chuck Schumer tweet, “Hang tough on China, President @realDonaldTrump. Don’t back down. Strength is the only way to win with China.”[1]

Figure 1. China’s External Financial Position. (Source: World Bank)

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China’s $60 Trillion Estimate Of Oil and Gas In The South China Sea: Strategic Implications

U.S. hydrocarbon estimates imply a maximum of $8 trillion worth of oil and gas in the region, explaining part of the strategic divergence of the two superpowers.

Journal of Political Risk, Vol. 6, No. 1, January 2018

Oil rig. China’s largest offshore oil and gas producer CNOOC Ltd. announced on July 3, 2015 that its Xingwang deep-sea semi-submersible drilling platform started drilling at 1,300 meters underwater in Liwan 3-2 gas field in the South China Sea. Source: Pxhere.

Anders Corr, Ph.D.
Publisher of the Journal of Political Risk

China’s estimates of proved, probable and undiscovered oil and gas reserves in the South China Sea imply as much as 10 times the value of hydrocarbons compared with U.S. estimates, a differential that has likely contributed to destabilizing U.S. and Chinese interactions in the region. While China estimates a total of approximately 293 to 344 billion barrels of oil (BBL) and 30 to 72 trillion cubic meters (TCM) of natural gas, the U.S. only estimates 16 to 33 BBL and 7 to 14 TCM. Considering that the inflation-adjusted value of oil vacillated between approximately $50 and $100 per barrel (in 2017 prices) since the mid-1970s, U.S. estimates imply a hydrocarbon value in the South China Sea between $3 and $8 trillion, while Chinese estimates imply a value between $25 and $60 trillion. In addition to other factors, China’s greater dependence on oil imports and higher estimates of hydrocarbons in the South China Sea have driven it to invest more military resources in the region. An overly economistic approach by the Obama administration probably led the U.S. to allow China’s expansion in the South China Sea too easily.

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