Making sustainability laws work while treating our addiction to growth: an application of scarcity multiplier theory

IF 1.2 Q2 Social Sciences
Paul E. Smith, Vishnu Prahalad
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引用次数: 0

Abstract

Planning laws promoting sustainable development have not stopped the depletion of natural capital and global life-support systems, fuelling arguments for degrowth and transitions to steady-state economies. To address this weakness, we employ scarcity multiplier theory (SMT) in a case study of Tasmania, Australia, where planning laws have the statutory objective of promoting sustainable development. By drawing on two seminal contributions of John Kenneth Galbraith, his squirrel wheel and problem of social balance, SMT explains how we fail to limit growth to match natural capital capacity. This application of SMT shows that new industrial developments in regions with circumstances similar to those of Tasmania produce two forms of unsustainability: ‘unsustainability of satisfactions of wants’ and ‘unsustainability of per capita abundance of natural capital’, the former producing an addiction to economic growth. We thereby argue that applications for approval of new industrial developments under Tasmania’s planning laws should be rejected unless these expansions are countered by a commensurate contraction elsewhere in that economy. In addition, we employ SMT to identify deficiencies in those planning laws that stop them producing sustainable development, demonstrating a need to reform government (and planning) to prevent such failure.
让可持续发展法律发挥作用,同时治疗我们对增长的依赖:稀缺乘数理论的应用
促进可持续发展的规划法并没有阻止自然资本和全球生命支持系统的枯竭,助长了去增长和向稳态经济过渡的论点。为了解决这一弱点,我们在澳大利亚塔斯马尼亚州的案例研究中采用了稀缺乘数理论(SMT),那里的规划法有促进可持续发展的法定目标。通过借鉴约翰•肯尼斯•加尔布雷斯(John Kenneth Galbraith)的松鼠轮理论和社会平衡问题这两项开创性贡献,SMT解释了我们为何无法限制增长以匹配自然资本能力。SMT的应用表明,在与塔斯马尼亚类似的地区,新的工业发展产生了两种形式的不可持续性:“需求满足的不可持续性”和“人均自然资本丰富性的不可持续性”,前者产生了对经济增长的依赖。因此,我们认为,根据塔斯马尼亚州的规划法,批准新工业发展的申请应该被拒绝,除非这些扩张被该经济的其他地方相应的收缩所抵消。此外,我们使用SMT来识别那些阻碍可持续发展的规划法的缺陷,表明改革政府(和规划)以防止此类失败的必要性。
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来源期刊
Australian Planner
Australian Planner REGIONAL & URBAN PLANNING-
CiteScore
2.40
自引率
0.00%
发文量
12
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