"Access_Rent_over_1991_2021"

Published: 27 January 2025| Version 1 | DOI: 10.17632/gxbx2fthvt.1
Contributors:
Marcel Rodrigue Ewodo-Amougou, Théodore Patrice Nna Nna, Flavian Emmanuel Sapnken, Jean Gaston Tamba

Description

This chronological dataset presents information of the impact of oil revenues on access to electricity in Cameroon for the period 1991-2021. The data come from six different official sources: (1) World Bank (2) World Bank Development Indicator (3) National Hydrocarbons Corporation (4) https://EconPapers.repec.org/RePEc:oxf:oxcrwp:038 (5) https://onlinelibrary.wiley.com/doi/abs/10.1111/1467-8268.12182 (6) https://www.sciencedirect.com/science/article/pii/S0301420723006025. In addition to oil revenues and access to electricity, the data set includes three other variables (the price of crude oil, corruption and population growth) which make it easier to understand the key variables. Data analysis was carried out using Eviews. Using the ARDL and NARDL models, we find this set of interpretations of the data. For example, electricity access is negatively impacted by rent from oil in the near- and long term. In addition, long-term electricity access is negatively affected by a positive oil rent shock. A negative oil rent shock has an adverse effect negative on electricity access in the near- and long term. This data could help policymakers in their decision-making. Indeed, the negative effect of oil rent on electricity access could prompt governments to review their policies by controlling corruption and fluctuations in crude oil prices, for example. This data could enable governments to plan investments in electricity infrastructure using oil revenues, taking into account fluctuations in oil prices and the dynamics of corruption. The results of this data can be used to encourage discussions on the importance of electricity access and the economic implications of oil revenues with stakeholders, including policy-makers and researchers. Finally, we could identify gaps in data and analysis to guide future research, for example by exploring other variables that may influence electricity access.

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Categories

Energy Demand Analysis, Public Services Policy Analysis

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