Pei Qing, Zhang David D, Li Guodong, Lee Harry F
Department of Geography and International Centre for China Development Study, University of Hong Kong, Pokfulam Road, Hong Kong SAR, China; Department of Statistics and Actuarial Science, University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.
Department of Geography and International Centre for China Development Study, University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.
PLoS One. 2015 Jun 3;10(6):e0126480. doi: 10.1371/journal.pone.0126480. eCollection 2015.
The relationship between climate change and the macroeconomy in pre-industrial Europe has attracted considerable attention in recent years. This study follows the combined paradigms of evolutionary economics and ecological economics, in which wavelet analysis (spectrum analysis and coherence analysis) is applied as the first attempt to examine the relationship between climate change and the macroeconomic structure in pre-industrial Europe in the frequency domain. Aside from confirming previous results, this study aims to further substantiate the association between climate change and macroeconomy by presenting new evidence obtained from the wavelet analysis. Our spectrum analysis shows a consistent and continuous frequency band of 60-80 years in the temperature, grain yield ratio, grain price, consumer price index, and real wage throughout the study period. Besides, coherence analysis shows that the macroeconomic structure is shaped more by climate change than population change. In addition, temperature is proven as a key climatic factor that influences the macroeconomic structure. The analysis reveals a unique frequency band of about 20 years (15-35 years) in the temperature in AD1600-1700, which could have contributed to the widespread economic crisis in pre-industrial Europe. Our findings may have indications in re-examining the Malthusian theory.
近年来,工业化前欧洲气候变化与宏观经济之间的关系备受关注。本研究遵循演化经济学和生态经济学的综合范式,首次尝试在频域中运用小波分析(频谱分析和相干分析)来考察工业化前欧洲气候变化与宏观经济结构之间的关系。除了证实先前的结果外,本研究旨在通过呈现从小波分析中获得的新证据,进一步证实气候变化与宏观经济之间的关联。我们的频谱分析表明,在整个研究期间,温度、粮食产量比、粮食价格、消费价格指数和实际工资存在一个60 - 80年的一致且连续的频段。此外,相干分析表明,宏观经济结构更多地是由气候变化而非人口变化塑造的。此外,温度被证明是影响宏观经济结构的关键气候因素。分析揭示了公元1600 - 1700年期间温度中一个约200年独特频段(15 - 35年),这可能导致了工业化前欧洲广泛的经济危机。我们的发现可能为重新审视马尔萨斯理论提供线索。