This paper aims to compute total factor productivity (TFP) growth for India as well as for its 19 major states and to explore the determinants of TFP at the state level by considering the spillover effects.,TFP growth has been obtained using growth accounting equation. Further, the TFP growth estimates were used to derive TFP levels using the translog index procedure. Given the policy focus on building infrastructure and expanding financial access, we have estimated the impact of irrigation, electricity, road, health, education and financial depth on TFP using the Spatial Durbin Model to account for spillover effects.,Computing TFP growth for two sub periods, namely, 2001-2008 and 2009-2015, the study finds a deterioration in TFP growth for India as well as for 10 of the 19 states under study in the post global financial crisis period. The author find that TFP is positively impacted by irrigation, health and road infrastructure. While financial depth and education were statistically insignificant, installed capacity of electricity had a negative impact on state level TFP.,'The author provides rationale for the empirical findings considering the country context. The findings of this study act as pointers for shaping higher growth on a sustained basis in India. The study helps to assess the productivity growth in the new states, namely, Jharkhand, Chhattisgarh and Uttarakhand, that were carved out in 2000 vis a vis their parent states. This assessment is useful especially for the states of Jharkhand and Chhattisgarh which were created to address economic backwardness in certain pockets of the parent states.,First, it provides TFPG estimates for India as well as 19 major states during the 2000-2015 period. Second, this study helps to understand how TFPG for India as well as each of the 19 states have behaved in the post global financial crisis period. Third, the study helps to assess the productivity growth in the three newly created states in 2000 vis a vis their parent states. Fourth, this is the first attempt which considers the spatial interdependence among the states to estimate the impact of financial and infrastructural development on productivity in the Indian states.

中文翻译：

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印度各邦全要素生产率的决定因素

本文旨在计算印度及其 19 个主要邦的全要素生产率 (TFP) 增长，并通过考虑溢出效应来探索邦层面 TFP 的决定因素。已使用增长核算方程获得 TFP 增长。此外，TFP 增长估计用于使用 translog 指数程序推导出 TFP 水平。鉴于政策重点放在建设基础设施和扩大金融渠道，我们使用空间杜宾模型估计了灌溉、电力、道路、卫生、教育和金融深度对 TFP 的影响，以解释溢出效应。,计算两个子项的 TFP 增长在 2001-2008 年和 2009-2015 年期间，该研究发现，在后全球金融危机时期，印度以及所研究的 19 个邦中的 10 个邦的全要素生产率增长出现恶化。作者发现 TFP 受到灌溉、健康和道路基础设施的积极影响。虽然金融深度和教育在统计上微不足道，但电力装机容量对州级 TFP 有负面影响。”作者提供了考虑国家背景的实证结果的基本原理。这项研究的结果可以作为指导在印度持续实现更高增长的指标。该研究有助于评估新州（即贾坎德邦、恰蒂斯加尔邦和北阿坎德邦）的生产力增长，这些邦于 2000 年相对于其母州划出。该评估特别适用于贾坎德邦和恰蒂斯加尔邦，它们旨在解决母州某些地区的经济落后问题。首先，它提供了 2000 年至 2015 年期间印度和 19 个主要邦的 TFPG 估计值。其次，这项研究有助于了解印度以及 19 个州中每个州的 TFPG 在后全球金融危机时期的表现。第三，该研究有助于评估 2000 年三个新成立的州与其母州的生产率增长情况。第四，这是首次尝试考虑各邦之间的空间相互依存关系来估计金融和基础设施发展对印度各邦生产力的影响。该研究有助于评估 2000 年三个新成立的州与其母州的生产力增长情况。第四，这是首次尝试考虑各邦之间的空间相互依存关系来估计金融和基础设施发展对印度各邦生产力的影响。该研究有助于评估 2000 年三个新成立的州与其母州的生产力增长情况。第四，这是首次尝试考虑各邦之间的空间相互依存关系来估计金融和基础设施发展对印度各邦生产力的影响。