为什么自然资源丰富的经济体不愿意改善经济的复杂性?

IF 1.7 Q2 GEOGRAPHY
Sakine Owjimehr , Neda Jamshidi
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引用次数: 0

摘要

有证据表明,资源丰富的国家往往表现出相对稳定的经济复杂性水平,进展有限。为探究这一现象的根本原因,我们利用 2000-2020 年间前 20 个资源丰富经济体的数据,采用了集合均值组(PMG)模型。我们的分析旨在找出导致这种行为的因素。我们的研究结果支持自然资源诅咒假说,表明有效控制腐败可提高长期经济复杂性。此外,在 PMG 模型中观察到的异质性短期动态表明,经济和制度变量影响了某些国家的短期经济复杂性行为,如加蓬、伊朗、阿尔及利亚和哈萨克斯坦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why do natural resource-rich economies resist improving the economic complexity?

The evidence suggests that resource-rich countries tend to exhibit a relatively constant level of economic complexity, with limited progress. To investigate the underlying causes of this phenomenon, we employed a Pooled Mean Group (PMG) model using data from the top 20 resource-rich economies spanning the period 2000–2020. Our analysis aimed to identify the factors contributing to this behavior. The findings of our study support the natural resource curse hypothesis, indicating that effective control of corruption can lead to an improvement in long-term economic complexity. Furthermore, the heterogenous short-run dynamics observed in the PMG model indicate that economic and institutional variables have influenced the short-term economic complexity behavior of certain countries, such as Gabon, Iran, Algeria, and Kazakhstan.

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来源期刊
CiteScore
3.60
自引率
5.90%
发文量
92
期刊介绍: Regional Science Policy & Practice (RSPP) is the official policy and practitioner orientated journal of the Regional Science Association International. It is an international journal that publishes high quality papers in applied regional science that explore policy and practice issues in regional and local development. It welcomes papers from a range of academic disciplines and practitioners including planning, public policy, geography, economics and environmental science and related fields. Papers should address the interface between academic debates and policy development and application. RSPP provides an opportunity for academics and policy makers to develop a dialogue to identify and explore many of the challenges facing local and regional economies.
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