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Inter-state analysis of energy efficiency- a stochastic frontier approach to the Indian paper industry

机译:能源效率的州际分析-印度造纸业的随机前沿方法

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Purpose - This paper aims to measure the state-level energy efficiency in Indian paper industry and simultaneously explain inter-state variation in efficiency by inefficiency effect model. Three variables, labor productivity, capital intensity and structure of paper industry, are included in inefficiency effect model to assess the likely impact on energy efficiency. Design/methodology/approach - Sub-vector input distance function is derived through neo-classical production function which provides measures to estimate energy efficiency. Assuming a translog production function specification, energy efficiency is estimated by using Battese and Coelli (1995) stochastic frontier analysis (SFA). The authors also estimated four other SFA models, and energy efficiency from all the models is compared for robustness checking. Findings - The results show the existence of a vast potential to improve energy efficiency. Inefficiency effect model reported a positive impact of structure of the industry and capital intensity on energy efficiency performance, while labor productivity does not have any significant impact on energy efficiency. There exists considerable energy efficiency variation among states. Uttarakhand, Punjab and Orissa are the best performing states while Rajasthan, Jharkhand and Goa have worst energy efficiency performance based on average efficiency. The ranks assigned to states according to inefficiency effects model are found contrary to the simple measure of energy efficiency, i.e. energy intensity. Thus, energy intensity may not always be a good proxy for underlying energy efficiency and need to be compared with a comprehensive possible measure. Originality/value - To the best of the authors' knowledge, this is the first study which measures energy efficiency of Indian paper industry through stochastic frontier model using region-level data. Instead of relying on traditional energy efficiency indicators (energy-output ratio), total-factor energy efficiency approach is used to conduct the empirical exercise. Deviations from the frontier because of factors beyond the scope of producers are also incorporated into analysis to portray the magnitude of random factors in influencing the efficiency performance.
机译:目的-本文旨在衡量印度造纸行业的州级能源效率,并同时通过低效率效应模型来解释州际效率差异。效率影响模型包括三个变量,即劳动生产率,资本强度和造纸行业的结构,以评估对能源效率的可能影响。设计/方法/方法-通过新古典生产函数导出子向量输入距离函数,该函数提供了估算能源效率的措施。假设有一个对数生产函数规范,则通过使用Battese和Coelli(1995)的随机前沿分析(SFA)来估算能效。作者还估计了其他四个SFA模型,并比较了所有模型的能源效率以进行健壮性检查。研究结果-结果表明,提高能源效率具有巨大潜力。低效率效应模型报告了行业结构和资本强度对能效绩效的积极影响,而劳动生产率对能效没有显着影响。各州之间存在相当大的能源效率差异。基于平均效率,北阿坎德邦,旁遮普邦和奥里萨邦是表现最好的州,而拉贾斯坦邦,贾坎德邦和果阿的能效表现最差。发现根据低效率效应模型分配给状态的等级与简单的能量效率度量即能量强度相反。因此,能源强度可能并不总是代表潜在的能源效率,并且需要与综合的可能措施进行比较。原创性/价值-就作者所知,这是第一项使用区域级别数据通过随机边界模型测量印度造纸行业能源效率的研究。代替传统的能源效率指标(能源输出比),而是采用全要素能源效率方法进行实证研究。由于超出生产者范围的因素而导致的与边界的偏离也被纳入分析中,以描绘影响效率绩效的随机因素的数量。

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