2020
DOI: 10.1016/j.enpol.2020.111302
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The income inequality and carbon emissions trade-off revisited

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Cited by 80 publications
(35 citation statements)
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References 56 publications
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“…However, with the continuous progress of China's low‐carbon transition, the increasingly close relationship between carbon emissions and income inequality can be expected and requires continuous attention. In addition, unlike Mittmann and De Mattos (2020), Rojas‐Vallejos and Lastuka (2020), and Zhang and Zhao (2014), we did not find the significant effects of income inequality on carbon emissions.…”
Section: Discussioncontrasting
confidence: 97%
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“…However, with the continuous progress of China's low‐carbon transition, the increasingly close relationship between carbon emissions and income inequality can be expected and requires continuous attention. In addition, unlike Mittmann and De Mattos (2020), Rojas‐Vallejos and Lastuka (2020), and Zhang and Zhao (2014), we did not find the significant effects of income inequality on carbon emissions.…”
Section: Discussioncontrasting
confidence: 97%
“…Following the prior studies, we used land transport, namely the highway infrastructure and railway infrastructure, that dominate the movement of materials and population in China, to represent transport infrastructure. Consistent with most existing studies, we adopted real gross domestic product (GDP) per capita to serve economic growth (e.g., Chen & Haynes, 2017; Zhang & Zhang, 2020) and used carbon emissions per capita (CO 2 per capita) to represent carbon emissions (e.g., Rojas‐Vallejos & Lastuka, 2020; Zhang & Zhang, 2020). Thus, we formed the following GMM model:Inequalityi,t=β0+β1inequalityi,t1+β2highwayi,t+β3railwayi,t+β4GDPpercapitai,t+β5CO2percapitai,t+εi,t,…”
Section: Methods and Datamentioning
confidence: 99%
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“…Wealth and income levels have remained the root cause of CO 2 emissions and thus CPC since 2000. As such, income inequality and income levels are key factors to consider when formulating carbon reduction policies 30 .…”
Section: Resultsmentioning
confidence: 99%
“…, 不仅大大改善了贫困农户 在收入分配中的不利地位 [7] , 也极大增强了其对国 家政权合法性和地方政府公信力的认同 [8] 。 但扶贫资源输入中不可避免存在 "瞄准失误" [12] 。而在现阶段中国经济发展进程中, 机 会不平等更是造成收入差距逐步扩大的重要因素 [13] , 且更容易成为引发社会矛盾的根源 [14] 。Roemer [15] 则 指出, 若是由不可控的环境因素即机会不平等所造 成的收入不平等, 则应实行 "补偿措施" 。基于此, 现阶段精准扶贫政策也对症下药, 遵循 《中共中央 国务院关于打赢脱贫攻坚战的决定》 [16] [17,18] 。但其在实施过程中不仅存在部分瞄准偏误 及救助水平严重不足等问题 [20] , 甚至会抑制经济长期 增长, 进而形成西方国家常见的福利依赖问题 [21] 。 而机会供给则作为一种 "造血" 式扶贫资源, 包括产 业扶贫、 易地搬迁等, 强调充分发挥贫困人口的主 体性作用, 让农户利用自身的土地、 资本和劳动力 等主要生产要素充分参与到扶贫项目中。虽然在 实施过程中存在一定 "漏出效应" 和 "溢出效应" , 但 通过 "扶业" 与 "扶人" 并举, 可惠及绝大多数 "轻度 贫困户" 和 "中、 小富户" [22] , 且其对收入不平等的改 善效应得到了学术界的广泛认可 [23,24] [25] 。个体分配公平感的产 生取决于其在现有分配状态中获利的多寡 [26] , 若个体 从当前的分配状态中是获益的, 那么其就倾向于认为 当前的分配状态是公平的 [27] [29] 。而贫困农户往往收入 水平较低, 发展能力薄弱, 自身资源禀赋制约其 "不 能" 把握外部机会 [5] ; 而较低的收入水平也与风险厌恶 特征紧密相关, 进而导致其 "不愿" 把握外部机会 [30] ) 最后, 计算参与者平均处理效应 (ATT) [32] , 即精…”
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