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Biedermann Zsuzsánna szerzőtársakkal írt cikke a Resources Policy folyóiratban

Volume 67, August 2020

An investigation of a partial Dutch disease in Botswana

Tamás Barczikay – Zsuzsánna Biedermann – László Szalai

 Highlights

  • A booming resource sector might appreciate domestic currency and crowd out manufacturing, labelled Dutch disease (DD).
  • Diamond-producer Botswana, South African Customs Union member, is a rare success story of resource-based development in SSA.
  • We examined diamond trade partnerships from 2006 to 2018 in separate NARDL models to see whether Botswana had the DD.
  • A partial DD was identified: its effects are limited to specific trade partners and transmission channels.
  • A partial DD and the South African Customs Union revenue-sharing formula makes diversification in Botswana strenuous.

Abstract

Diversification of resource-driven economies has proven to be a very stubborn problem. Even relatively successful countries struggle to achieve a structural change towards manufacturing and high-tech industries. Botswana has been often cited as one of the few countries that escaped the resource curse and performed well in terms of economic growth. However, a significant share of the domestic output and most of the exports are still coming from the mining sector. In this paper we present the spending effect as a possible explanation for the lack of economic diversity. Using a nonlinear autoregressive distributed lag model, we investigate the cointegration of the diamond price index and the pula exchange rate against the currencies of Botswana’s main trading partners on monthly time-series data. Our analysis is based on a recent dataset that covers the period from the introduction of the crawling band exchange regime until 2018. The results highlight a partial Dutch disease phenomenon related to Botswana’s trade union partners: Namibia and South Africa.

Keywords: Diversification, Resource curse, Spending effect, Real exchange rate, Asymmetric cointegration, Nonlinear autoregressive distributed lag model
JEL classification: L72, P28, F31, R58

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