Demand-Side Determinants of Billing Efficiency in India: A Panel GMM Approach

Upendra Nath Behera, A. Mohanty, Swastik Routray
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Abstract

The power sector’s efficiency is paramount in a country such as India, where electricity consumption and access have been tantamount to economic growth. The study investigates whether Billing Efficiency is affected by Per Capita GSDP. A panel has been constructed using data from 17 major states from 2011-12 to 2021-22. The results, obtained using the Generalized Method of Moments (GMM) regression, suggest that Billing Efficiency increases when there is an increase in Per Capita GSDP. People’s affinity to evade paying the bill decreased when their incomes rose. Per Capita Consumption of Power, which the study considered the control variable, exhibited no impact on Billing Efficiency. Estimates indicate an increase of Rs. 10,000 per annum in Per Capita GSDP will increase Billing Efficiency by 0.31%. High-income states showed higher billing efficiency; the intuitive opposite was true for low-income states. As best practice, long-term investment in infrastructure can be a robust solution to reduce the leakages in Input Energy gradually.
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印度计费效率的需求方决定因素:面板 GMM 法
在印度这样一个电力消费和电力供应与经济增长息息相关的国家,电力部门的效率至关重要。本研究调查了计费效率是否受人均国内生产总值的影响。研究使用 2011-12 年至 2021-22 年 17 个主要邦的数据构建了一个面板。使用广义矩法(GMM)回归得出的结果表明,当人均国内生产总值增加时,计费效率也会增加。当收入增加时,人们逃避缴费的倾向降低。人均电力消费被视为控制变量,对账单效率没有影响。据估计,人均国内生产总值每年增加 10,000 卢比,计费效率将提高 0.31%。高收入州的计费效率较高,而低收入州则直观相反。作为最佳实践,对基础设施的长期投资是逐步减少输入能源泄漏的有力解决方案。
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