Green GDP and Energy: A New Model of GGDP and Energy

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Abstract

While the gross national/domestic product (GNP/GDP) index is a highly reliable indicator that reflects economic performance of a country, it still largely ignores the depreciation of assets, non-market economy and especially the damages to the environment caused by growth. Environmental sustainability of economic growth has come to be recognized as one of the most important pillars of sustainable growth and development. In order to tackle many challenges of the so-called green growth and sustainable development, we try to build a new/alternative Green GDP indicator that should give us a clearer perspective of the consequences of economic progress by offering a new approach in quantifying the cost of ecological and environmental degradation. Since the loss of natural resources is difficult to estimate, but the main purpose of natural resource loss is to obtain energy, the relationship between GGDP and energy is studied, including coal resources, natural gas resources and nuclear energy. Furthermore, the main factors affecting GGDP are indirectly explored, so as to provide reference opinions for the sustainable development of various countries. Since the obtained data is panel data, after preprocessing, logarithmic operations, F-test and Haussmann test, a random-effects model is selected, and the calculation concludes that GGDP is highly correlated with GDP, coal, natural gas and nuclear energy.
绿色GDP与能源:GDP与能源的新模型
虽然国民生产总值/国内生产总值(GNP/GDP)指数是反映一个国家经济表现的高度可靠的指标,但它仍然在很大程度上忽略了资产贬值、非市场经济,特别是增长对环境造成的损害。经济增长的环境可持续性已被公认为可持续增长和发展的最重要支柱之一。为了应对所谓的绿色增长和可持续发展的许多挑战,我们试图建立一个新的/可替代的绿色GDP指标,通过提供一种量化生态和环境退化成本的新方法,使我们对经济进步的后果有一个更清晰的认识。由于自然资源的损失难以估计,但自然资源损失的主要目的是获取能源,因此研究GGDP与能源的关系,包括煤炭资源、天然气资源和核能。进而间接探讨影响gdp的主要因素,为各国的可持续发展提供参考意见。由于所得数据为面板数据,经过预处理、对数运算、f检验和Haussmann检验,选择随机效应模型,计算得出GGDP与GDP、煤炭、天然气、核能高度相关。
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