IF 5.4 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2025-02-01 DOI:10.1016/j.indic.2025.100586
Anas Melethil , Nabil Ahmed Khan , Golam Kabir , Ahmad Yusuf Adhami , Irfan Ali
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引用次数: 0

摘要

该研究采用了中性编程方法,以优化加拿大为在 2030 年前实现可持续发展目标(SDGs)所做的努力。研究重点是最大限度地提高国内生产总值和就业率,同时最大限度地减少碳排放和电力消耗。研究结果表明,加拿大在国内生产总值和就业方面取得了实质性进展,国内生产总值预测值与 ARIMA 预测值非常接近。然而,减少碳排放和电力消耗的优化结果却不尽如人意,虽然略低于 ARIMA 预测值,但都超过了 2030 年的目标。这些结果凸显了在经济增长与环境可持续性之间保持平衡的持续挑战。事实证明,中性编程在管理不确定性和不精确数据方面非常有效,尤其是在处理像可持续发展目标这样复杂、有时相互冲突的目标时。未来的战略包括在高排放行业推广更环保的技术,引入政策措施,如可再生能源激励措施、更严格的排放法规、绿色技术补贴,以及增加对可持续技术研发的投资。
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Enhancing Canada's sustainable development goals: Leveraging neutrosophic programming for agenda 2030
The study employed neutrosophic programming to optimize Canada's efforts toward achieving the Sustainable Development Goals (SDGs) by 2030. It focused on maximizing GDP and employment while minimizing carbon emissions and electricity consumption. The findings indicated substantial progress in GDP and employment, with GDP projections aligning closely with ARIMA forecast values. However, the optimization results for reducing carbon emissions and electricity consumption were less favorable, as both exceeded the 2030 targets, though slightly below ARIMA forecasts. These outcomes underscore the ongoing challenge of balancing economic growth with environmental sustainability. Neutrosophic programming proved effective in managing uncertainties and imprecise data, particularly in addressing complex, sometimes conflicting objectives like those within the SDGs. Future strategies include advancing greener technologies in high-emission sectors, introducing policy measures such as incentives for renewable energy, stricter emissions regulations, subsidies for green technologies, and increasing investment in sustainable technology research and development.
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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