Study on the Effectiveness of Green GDP Accounting System in Mitigating Climate Change- Based on ARIMA-LSTM Model
DOI:
https://doi.org/10.54097/hbem.v18i.12741Keywords:
ARIMA-LSTM; GGDP; Entropy method.Abstract
At present, the most widely used composite index to measure economic growth in the world is GDP and its growth rate, but this composite index does not sufficiently emphasize the importance of climate environment. In order to emphasize the greenness of development, it is necessary to establish a green GDP accounting system and test whether the green gdp system can mitigate climate change. In this paper, we first select seven direct climate impact indicators, including energy consumption and indirect climate impact indicators, and assign weights to the direct climate impact indicators by entropy weighting method to establish a green GDP accounting system. Then the climate prediction model based on ARMIMA-LSTM is established with CO2 emission and temperature change as evaluation indicators, and the model is trained to obtain the climate change under the GGDP system. This paper is important for measuring green GDP.
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