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An empirical analysis of the relationship between the environment, economy, and society: Results of a PCA-VAR model for Iran

机译:环境,经济和社会之间关系的实证分析:伊朗PCA-VAR模型的结果

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摘要

Iran is among the top ten CO2 emitters in the world and has pledged to reduce such emissions by up to 12 percent by 2030 through various policies and strategies. However, achieving this is somewhat undermined by the country's heavy reliance on fossil fuels which contributes to environmental pollution and depletion of natural resources. It is therefore important to have an understanding of the economic, social, and environmental subsystems and their interactions in order to formulate a suitable development path or model. Due to the lack of comprehensive studies on the current situation and the dynamics among these variables, this paper provides a multi-stage analysis of the issues based on data from 1992 to 2015 to construct the principal component analysis (PCA) combined index for each subsystem. Then, the interactions among the subsystems are investigated over the short-and long-terms using the vector autoregressive (VAR) model. The results of the PCA show that Iran lacks a balanced sustainable development approach as improvements in environmental indicators do not match those of the society and the economy indices. Further, the associated time path for the economic and societal indices depicts an increasing trend over time, especially in the economy index and that, since 2010, this subsystem has overtaken the societal index. Estimations of the VAR model, impulse response functions, and variance decomposition analysis show that the country's economic development has seriously undermined the environment even as improving the social indices has strengthened the environmental indicators. The interactions among subsystems show that economic development of the country took little consideration of environmental issues. This is the main reason for the backwardness of the environmental indices and its divergence from economic and societal indices. It is clear that assuming equal rates of growth for all subsystems have not produced a balanced development path. For Iran to achieve her sustainable development goals there should be increased focus on the environmental subsystem with the overall system converging symmetrically when the high growth rate assumption (double) is applied for this index compared with the societal and economical indices.
机译:伊朗是全球十大二氧化碳排放国之一,并承诺到2030年通过各种政策和战略将此类排放量减少多达12%。但是,该国严重依赖化石燃料严重损害了实现这一目标的能力,从而加剧了环境污染和自然资源的消耗。因此,重要的是要了解经济,社会和环境子系统及其相互作用,以便制定合适的发展路径或模型。由于缺乏对当前状况以及这些变量之间动态关系的全面研究,本文基于1992年至2015年的数据对问题进行了多阶段分析,以构建每个子系统的主成分分析(PCA)综合指数。然后,使用向量自回归(VAR)模型研究子系统之间的短期和长期交互作用。 PCA的结果表明,伊朗缺乏平衡的可持续发展方法,因为环境指标的改进与社会指标和经济指标不符。此外,与经济和社会指数相关的时间路径显示了随着时间的推移呈增长趋势,尤其是在经济指数方面,并且自2010年以来,该子系统已超过了社会指数。 VAR模型的估计,冲激响应函数和方差分解分析表明,尽管社会指标的提高加强了环境指标,但该国的经济发展严重破坏了环境。各子系统之间的相互作用表明,该国的经济发展很少考虑环境问题。这是环境指数落后以及与经济和社会指数背离的主要原因。显然,假设所有子系统的增长率均未达到平衡的发展道路。为使伊朗实现其可持续发展目标,与社会和经济指标相比,当对这一指标采用高增长率假设(两倍)时,应更加关注环境子系统,使整个系统对称收敛。

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