Nigeria Economic Update, Issue 4

According to the Stanbic IBTC Bank purchasing managers index report, Nigerian private sector activity increased by 1.8 points, rising from 52.7 in December 2024 to 54.5 in January 2025. This marks the second consecutive month above the 50.0 threshold and represents the fastest growth rate since April 2022. By interpretation, a reading below 50 indicates a decline in private sector activity, a reading of 50 reflects stability while a reading above 50 signals expansion and higher productivity. The recovery that began in December gained further momentum in January, driven by increased business purchasing activity, which boosted input acquisition and production. Companies also benefited from faster supplier deliveries and remained optimistic, showing greater confidence than in December 2024. Although inflation remained high due to exchange rate depreciation and rising costs of raw materials and transportation, the increase in PMI suggests that businesses are investing more in inputs and production, which could lead to higher output and employment. Such increased purchasing activity could lead to higher demand for goods and services, which could still put an upward pressure on the prices of goods and services and potentially affect inflation. To sustain this momentum, policy measures such as tax relief and subsidies should be introduced to support small and medium-sized enterprises. Additionally, improving transport and logistics infrastructure would enhance supply chain efficiency and help stabilize costs.

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Revisiting causal relationship between renewable energy and economic growth in OECD countries: Evidence from a novel JKS's Granger non-causality test

Reliance on fossil fuels for energy is a major contributor to climate change. Climate change has wide-ranging effects on various sectors of the economy, as well as on animal and human populations. A recent counterfactual analysis conducted by Kahn et al. [1] revealed that even a moderate increase in global temperature by 0.04OC could result in a substantial 7 % contraction of the global economy by the year 2100. In addition, Sattar et al. [2] conducted a comprehensive review of the effects of climate change on wildlife animals. They highlighted that climate change significantly disrupts the dynamic conditions of biomass production, trophic interactions, ecosystem balance and hydrological equilibrium. 

Authors: Isiaka Akande Raifu, Fidelis Ademola Obaniyi, Great Nnamani, Abdulkhalid Anda Salihu

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Nigeria Economic Update, Issue 3

According to the Organization of Petroleum Exporting Countries (OPEC) January Monthly Oil Market Report, Nigeria’s average daily crude oil output stood at 1.485 million in December 2024. The oil output lagged the Federal Government's 2024 budgeted benchmark of 1.78 million bpd and the OPEC quota of 1.5 million bpd. Also, there was a decline in Crude oil prices to US$74.22 in December 2024 from US$75.38 per barrel in November, representing a 1.5% month-on-month decline. The country's inability to meet the government's projected production level can be attributed to multiple factors, including aging infrastructure, underinvestment, and oil theft which continue to result in low production. A combination of low production levels and a decline in crude oil prices would result in lower government finances. Specifically, the country's inability to meet the quotas could have a detrimental impact on national reserves and revenue, reducing resources availability to finance developmental projects in the country. Thus, the government must strengthen efforts against oil theft and bunkering by working with local communities and imposing harsher penalties for unlawful operations in oil-producing communities. The government also needs to strengthen existing investment policies to attract private investors who can invest in modern-day oil facilities or infrastructure to increase oil production.  

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A gentle reminder: Should returns be interpreted as log differences?

It is rather a norm for researchers to directly use the log difference of an asset price to compute returns. Just like using ln(X + 1) to avoid taking the natural logarithm of zero(s). However, this log returns is but a conditional approximation of the actual returns. Nonetheless, can log difference approximations and the ln(X + 1) common practices produce BLUE estimates? Using the log return as an example, this study discusses the approximation nature and conditions for using the log difference approximation both for the interest regressor and control variables. These conditions are; that both the sample average and variance of the original series tend to zero. When these conditions are not met, the log difference approximation is, in fact, not a good approximation and biases OLS causal estimators. When the conditions are met, it produces unbiased, consistent but less efficient estimators. Thereby making the estimates less precise and less accurate. Nonetheless, this is true for a log dif ferenced interest regressor(s) and control variables, when it correlates with the interest variable(s) and explains, in part, the dependent variable, even in large samples. Similarly, the common use of ln(X +1) biases the esti mation of the true causal effect, even the intercept term, except when X tends to infinity. A robust solution of using non-zero subsamples, against ln(X + 1), produces unbiased and consistent estimators for the true causal effects under the causal assumptions. These biasedness, inconsistencies, and inefficiencies do not disappear in large samples. Finally, both ex-ante and ex-post test statistics are discussed, however, the ex-post estimation test statistic is recommended to confirm both the choice of using log difference approximation and that of using ln(X + 1), in an empirical data causal regression analysis. Ideally, researchers should ensure the conditions for using the log difference approximation are met. Otherwise, these approximations and practices produce biased, inconsistent, and inefficient results, even in large samples, leading to misinformed policy implications.

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Making hay while the sun shines: Energy security pathway for Africa

Should Africa rather delay investments in renewable energy given their trivial contributions to global greenhouse gas emissions? This is strongly discouraged given the existing benefits of increased renewable energy investments in an African economy. Nigeria, the leading African economy is adopted as a representative to illustrate the prospects of improved (renewable) energy security in Africa. This study develops a dynamic recursive general equilibrium model to evaluate the prospects of renewable energy investment paths for Africa towards improving its energy security levels. Unlike other competing models, this model allows businesses to dynamically substitute between intermediate renewable energy and fossil fuel products, thus, taking active steps towards achieving a green economy. The results show that present economic welfare will be sacrificed for future welfare benefits and improved energy security. This confirms the transitioning of an economy from a lower steady state to a higher steady state path as postulated by the Solow model. However, a sustained gradual investment in the renewable energy sector yields the least welfare loss as the economy transitions through its energy security path. The one-off policy design produces relatively higher results in the immediate future while the sustained gradual incremental path smoothens these results into the far future. The results confirm that Africa’s demand for renewable energies substantially outweighs its supply, thereby suggesting a potential and non-trivial market for renewable energies, nonetheless. Results-based policies that are geared towards improving energy security are formulated for the African economies.

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Nigeria Economic Update, Issue 2

According to the Consumer Price Index (CPI) report by the National Bureau of Statistics (NBS), headline inflation rose to 34.8% in December 2024, a 0.20% points increase from 34.60% recorded in November 2024. This is 13.4% points higher than the 21.4% targeted by the Central Bank. On a year-on-year basis, headline inflation was 5.87% points higher in December 2024 compared to December 2023. Urban inflation increased by 6.30% points year-on-year to 37.29% in December 2024 from 31.00% in December 2023. Similarly, on a year-on-year basis, rural inflation rose by 5.37% points to 32.47% in December 2024 from 27.10% in December 2023. Key contributors to the rising inflation include food and non-alcoholic beverages, housing, water, electricity, and gas. However, the year-on-year increase reflects a significant rise in the cost of living compared to the same month in the previous year, driven by economic challenges such as weak currency, high energy costs, and supply chain disruptions. The continued rise in inflation implies a substantial decline in purchasing power, severely affecting low-skill individuals. Additionally, higher inflation rates in urban areas compared to rural areas indicate rising costs of food and essential items and may result in civil unrest. To mitigate these effects, the government should implement temporary subsidies for essential goods, such as food and energy, to cushion the impact on vulnerable households. Furthermore, currency-stabilizing monetary policies are essential to reduce imported inflation caused by currency depreciation

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Does Causality Between Tourism and Environmental Pollution Depend on Economic Development Level? A Novel Evidence From JKS's Panel Granger Non-causality Method

This study explored the causal link between tourism and CO2 emissions using bivariate and multivariate causality approaches to analyse data from 134 countries. Employing JKS's Panel Granger non-causality method, we established that tourism significantly Granger-causes environmental pollution. The multivariate model exhibited more robust causality than the bivariate model, yet this causality remains consistent regardless of a country's economic development level. This emphasizes the urgent need to address the interplay between tourism and environmental concerns.

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January Macroeconomic Snapshot

In Q3 2024, total capital importation into Nigeria declined by 51.90%, dropping to $1,252.66 million from $2,604.50 million in Q2 2024. Portfolio investments ranked highest at $899.31 million (71.79%), followed by other investments at $249.53 million (19.92%), while foreign direct investment accounted for $103.82 million (8.29%). Sector-wise, the banking sector led with $579.48 million, followed by financing at $294.55 million and production/manufacturing at $189.22 million.

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Nigeria Economic Update, Issue 1

According to the Central Bank of Nigeria (CBN), the Naira appreciated by 7.62 percent from ₦1661.12 to a US Dollar on 2nd December 2024 to ₦1534.56 to a US Dollar on 3rd January 2025. Since the unification of exchange rates in June 2023, the Naira has been fluctuating. In 2024, the local currency lost about 41 percent of its value against the dollar in the official market, despite a rise in external reserves in the same period. The recent appreciation of the Naira comes a month after the implementation of the Electronic Foreign Exchange Matching System (EFEMS), which was officially launched on 2nd December 2024 to reduce speculation and enhance transparency in Nigeria’s foreign exchange market. With a strengthened domestic currency, it is expected that prices would fall in the short term, especially given that Nigeria is a highly import-dependent country. If the appreciation is sustained over time, it enables the country to concurrently service foreign currency-denominated debts and supply demanded liquidity in the foreign exchange market. To ensure a stable and strong Naira, there is a need to maintain sustainable debt levels, reduce reliance on imports, and boost foreign reserves by increasing exports. Also, there is a need to create a business-friendly climate for foreign investors to attract foreign exchange inflow.

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