TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing

Rawat, Pankaj S.; Sharma, Seema

doi:10.1016/j.econmod.2021.105622

Cited by 11 publications

(2 citation statements)

References 85 publications

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“…Third, the robots adoption can grasp the situation of the consumer side through big data to meet consumers' demand for product quality and diversification. At the same time, they can match supply with demand, promote the practical configuration of means of production and products, and then promote product upgrading (Rawat & Sharma, 2021). As a result of the above analysis, we propose hypothesis 3:…”

Section: Technological Progress and Technical Efficiencymentioning

confidence: 92%

Robot Adoption and Urban Total Factor Productivity: Evidence From China

Li,

Zhou

2024

TEDE

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Industrial robots are having a profound and lasting impact on China’s economy. This research examines the deployment of industrial robots and their effects on urban total factor production from theoretical and empirical angles. It is created using panel data from 286 cities at the prefecture level between 2003 and 2017. It is found that: First, robot adoption promotes urban total factor productivity. Second, adopting robots has a more positive influence on urban total factor productivity development in western, underdeveloped, and less market-oriented areas compared to the developed and market-oriented areas in the east. Third, adopting robots could enhance urban innovation vitality, increase total factor productivity, boost industrial agglomeration, and improve technological progress or technical efficiency. Policy enlightenment provided by these findings can guide future technological advancements and promote high-quality city development.

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Section: Technological Progress and Technical Efficiencymentioning

confidence: 92%

Robot Adoption and Urban Total Factor Productivity: Evidence From China

Li,

Zhou

2024

TEDE

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“…Because of these advantages, it has recently been endorsed by various scholars. For example, Rawat and Sharma [39] measured the TFP growth of the Indian manufacturing industry by employing the SFA approach and decomposed it into technical change and efficiency improvement. Based on the same method, Baležentis and Sun [40] explored the TFP growth of the Lithuanian dairy sector and found that the industry maintained an average annual TFP growth of 2%; additionally, the main sources of TFP growth were technical change and scale efficiency improvements.…”

Section: Total Factor Productivity Measurementmentioning

confidence: 99%

Estimating and Decomposing the TFP Growth of Service-Oriented Manufacturing in China: A Translogarithmic Stochastic Frontier Approach

et al. 2023

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By constructing a translogarithmic stochastic frontier production model, this study explores the total factor productivity (TFP) of service-oriented manufacturing in 30 provinces in China during 2004–2020. We carried out decomposition analysis to understand in greater depth the potential drivers of TFP growth. The results show that the overall TFP of service-oriented manufacturing continuously improved during the sample period; however, the overall growth rate showed a significant slowing trend, and the contribution of TFP growth to output growth is still low. The industrial growth of service-oriented manufacturing is mainly driven by capital input, and the transformation of its growth mode from extensive to intensive has not yet been realized. Furthermore, there exists significant regional and sub-sectoral heterogeneity in the TFP growth of the industry. The decomposition of TFP growth shows that technological progress and technical efficiency are the main sources of TFP growth, but the growth rate of technological progress is declining gradually, and its driving effect on TFP is weakening. The deterioration of both scale and allocation efficiency hinders the improvement of TFP in service-oriented manufacturing, and there is still room for the industry to improve its TFP level by improving scale efficiency and allocation efficiency.

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