A SYSTEMS THINKING APPROACH TO NAVIGATE INTERLINKAGES TO ACHIEVE SDGs IN INDIA

Cheshta Grover, Naresh Singh
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引用次数: 1

Abstract

While there has been much talk about the integrative, indivisible, and interlinked strategies to achieve the SDGs (UN Sustainable Development Goals), the interactions and interdependencies are generally not explicit. Challenges remain to simultaneously capture the multilayered relationships among SDGs to strategically and coherently align national development plans. In this paper, we use systems thinking and systems dynamics modelling analysis to capture the cross-effects of intervention policies by taking one national indicator for each of the three selected goals. These are budget inclusiveness (increase in public expenditure on health) in SDG 3 (on good health and well-being), literacy rates (literacy rate of youth in the age group of 15-24 years) in SDG 4 (on quality education) and equity (employment gender bias) in SDG 5 (on gender equality) together to assess their effect on the SDG 8 (of decent work and economic growth). A Causal Loop Diagram (CLD) has been used to present the qualitative structure of the model. In our modelling, we logically draw interlinkages and then attempt to support them with existing evidence. Our main result is to confirm that reinforcing loops of such interventions exist, which are important for sustainable development policy. We have extended the Causal Loop Diagram (CLD) by proposing what effects could be realised in other SDGs related to poverty (SDG 1), sustainable consumption and production (SDG 12), and global partnerships (SDG 17). The paper concludes that such analysis will bring interlinkages to the foreground for prioritising the national goals and targets and hence implement policies in priority areas achievable by 2030 for India on a development strategy informed by systems thinking.
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一个系统的思考方法,以导航相互联系,以实现在印度的可持续发展目标
尽管人们一直在谈论实现可持续发展目标的综合、不可分割和相互关联的战略,但相互作用和相互依存性通常并不明确。同时把握可持续发展目标之间的多层次关系,以战略性地、连贯一致地调整国家发展计划,仍然面临挑战。在本文中,我们使用系统思维和系统动力学建模分析,通过为三个选定目标中的每一个取一个国家指标来捕捉干预政策的交叉影响。这些是可持续发展目标3(关于良好健康和福祉)中的预算包容性(增加公共卫生支出)、可持续发展目标4(关于优质教育)中的识字率(15-24岁年龄组青年的识字率)和可持续发展目标5(关于性别平等)中的公平性(就业性别偏见),以评估它们对可持续发展目标8(体面工作和经济增长)的影响。因果循环图(CLD)已用于呈现模型的定性结构。在我们的建模中,我们从逻辑上得出相互联系,然后试图用现有证据来支持它们。我们的主要结果是证实,这种干预措施存在强化循环,对可持续发展政策很重要。我们扩展了因果循环图(CLD),提出了与贫困(SDG 1)、可持续消费和生产(SDG 12)以及全球伙伴关系(SDG 17)相关的其他可持续发展目标可以实现的影响。该论文的结论是,这种分析将为优先考虑国家目标和指标带来相互联系,从而根据系统思维制定的发展战略,在印度2030年前可实现的优先领域实施政策。
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来源期刊
JOURNAL OF SUSTAINABILITY SCIENCE AND MANAGEMENT
JOURNAL OF SUSTAINABILITY SCIENCE AND MANAGEMENT Social Sciences-Geography, Planning and Development
CiteScore
1.40
自引率
0.00%
发文量
163
期刊介绍: The Journal of Sustainability Science and Management is an Open-Access and peer-reviewed journal aims to publish scientific articles related to sustainable science; i.e. an interaction between natural sciences, social science, technologies and management for sustainable development and wise use of resources. We particularly encourage manuscripts that discuss contemporary research that can be used directly or indirectly in addressing critical issues and sharing of advanced knowledge and best practices in sustainable development.
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