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Carbon-sensitive meta-productivity growth and technological gap: An empirical analysis of Indian thermal power sector

机译:碳敏元生产率生长和技术差距:印度热力电力部门的实证分析

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This paper measures carbon-sensitive efficiency and productivity growth in technologically heterogeneous coal-fired thermal power plants in India for the period of 2000 to 2013. It uses a unique data set of 56 plants, obtained petitioning the Right to Information Act 2005. We apply 'within-MLE' fixed effects stochastic frontier model to get consistent estimates of meta-directional output distance function. The thermal power plants are grouped into two categories: central sector and state sector. We find that the state sector plants have higher potential to simultaneously increase electricity generation and reduce carbon emissions than the central sector plants. If all the state and central sectors plants were made to operate on the meta-frontier, reduction of 98 million tonnes of CO2 could have been achieved. Carbon-sensitive productivity growth in the central sector plants is higher than the plants in state sector, though in both the sectors productivity growth is governed by carbon-sensitive innovation effect. Commercialisation or autonomy in electricity generation also induces carbon-sensitive productivity growth and reduces carbon-sensitive productivity growth gap. (C) 2019 Elsevier B.V. All lights reserved.
机译:本文为2000〜2013年印度技术异质燃煤热电厂中的碳敏效率和生产率增长。它使用了一个独特的56株植物数据集,获取了2005年信息法案的权利。我们申请“MLE内部”固定效果随机前沿模型,以获得元定向输出距离功能的一致估计。热电厂分为两类:中央部门和国家部门。我们发现,国家部门的工厂具有更高的潜力,可以同时增加发电并减少比中央部门植物的碳排放量。如果所有国家和中央部门厂都在元边缘运行,则可以降低9800万吨二氧化碳。中央部门植物中的碳敏感生产率增长高于国家部门的植物,但在生产率的过程中,生产率增长受碳敏感的创新效应。发电中的商业化或自主权也诱导碳敏生产率的生长,减少碳敏生产率的生长间隙。 (c)2019 Elsevier B.v.保留所有灯。

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