Do technological investments promote manufacturing productivity? A firm-level analysis for India

Khanna, Rupika; Sharma, Chandan

doi:10.1016/j.econmod.2021.105672

Cited by 35 publications

(17 citation statements)

References 94 publications

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“…The coefficient of technology intensity is negative and significant across all specifications, implying that firms that are high/medium-high technology intensive are less productive than those that are low/medium-low technology intensive. These results contradict those of Khanna and Sharma (2021), who show that firms in high-technology industries are more productive than those in low-technology industries in India. For Ecuadorian firms, Camino (2021) estimates the production function in subsamples by technological intensity of firms and finds that the output elasticity of capital declines as technological intensity of the firms increases.…”

Section: Sectorscontrasting

confidence: 97%

“…Similarly, the exporting status of the firm positively affects TFP. Such a result is in line with that of Khanna and Sharma (2021) who find, for Indian firms, that TFP gains associated with ICT investments are higher for exporting firms than non-exporting firms. Younger firms are more productive, a result consistent with the literature for Ecuadorian firms that finds that age is positively related to TFP (Camino-Mogro & Bermudez (2021)); this result is consistent with the findings of the international literature as well Ding et al (2016)).…”

Section: Entire Samplesupporting

confidence: 91%

“…There is substantial international evidence on the relationship between ICTs in relation to the Manufacturing sector, for instance, in the United States and Europe (Bloom et al (2010)), Germany (Kaus et al (2020)), India (Khanna and Sharma (2021)), and Peru (Garcia-Carpio ( 2022)). Although no previous study estimates the augmented production function for ICT capital in Ecuador, similar results for the coefficient estimates are found using the production function approach in Camino et al (2020) and Camino (2021).…”

Section: Sectorsmentioning

confidence: 99%

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The Impact of ICT Capital on Firm Output and Productivity: Evidence for Ecuadorian firms

Campoverde¹,

Granda²,

Saboin³

2022

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We estimate the effects of ICT capital and ICT use on firm output and total factor productivity in Ecuador, using a capital augmented production function. We study heterogeneities across 2 dimensions: (i) economic sectors and (ii) firm characteristics (size, export orientation, age, location, technological intensity, and knowledge intensity). Using a novel and comprehensive data set of 27,489 Ecuadorian formal firms and using 2 identification strategies, we find positive and statistically significant effects of ICT capital and ICT use on output and TFP across economic sectors, controlling for firm characteristics. For robustness, we use four alternative measures of (i) ICT capital intensity and (ii) ICT use by the firm, finding, for the former, interesting industry differences on the effect of ICT capital and, for the latter, a positive effect of digital training on firms TFP.

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Section: Sectorscontrasting

confidence: 97%

Section: Entire Samplesupporting

confidence: 91%

Section: Sectorsmentioning

confidence: 99%

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The Impact of ICT Capital on Firm Output and Productivity: Evidence for Ecuadorian firms

Campoverde¹,

Granda²,

Saboin³

2022

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“…Combined use of informational technology (IT) and research and development (R&D) inputs yields a higher productivity growth [2]. Using IT provides for the creation of knowledge associated with productivity gains and improved firms' performance [3,4].…”

Section: Introductionmentioning

confidence: 99%

Impact of Innovation and Exports on Productivity: Are There Complementary Effects?

Petković

Rastoka

Radičić³

2023

Sustainability

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The relationship between firms’ exports and increases in productivity is generally regarded as positive. While the causal effects of process innovation are straightforward and positive, the effect of product innovation on productivity is ambiguous. However, there is a lack of empirical evidence on a joint effect that innovation and exports have on firms’ productivity. In our attempt to fill this gap, we explore individual and joint effects of innovation and exports on productivity by employing cross-sectional firm-level data. We use the sixth wave of the Business Environment and Enterprise Performance Survey (BEEPS VI: 2018–2020) conducted by the EBRD and the World Bank. Using a stratified random sampling, the data was collected from interviews with representatives of randomly chosen firms from 32 countries. The overall results suggest that exporting firms are more productive than non-exporters, while the impact of innovation is more heterogeneous. Whereas EU and high-income countries reap the productivity benefits, this effect is absent in other regions and countries with medium and low-income levels. Finally, our results indicate the absence of a joint effect of innovation and exports on productivity, across different geographical regions and countries of different income levels.

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“…To be speci c, innovation improves resource productivity (Pujari, 2010;Dai and Sun, 2021). Speci cally, the productivity of enterprises in high-technology industries is higher than that in low-technology industries (Khanna and Sharma, 2021). Meanwhile, technological innovation can help mitigate the carbon emission risk (Liu and Zhang, 2021; Zhao et al ,2020), air pollution risk (Cui et al, 2011;Zhu et al, 2020) and other environmental risks (Chaudhry et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Impact of Urban Innovation on Urban Green Development in China's Yangtze River Economic Belt: Perspectives of Scale and Network

Tan

Yang

et al. 2022

Preprint

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Understanding whether and how urban innovation offers a sound solution to the dilemma of urban green development, is a crucial response to mitigate the detrimental effect on natural resources and environment for transitioning to sustainable urban development. To address the critical issue, we propose urban green development evaluation index system, and then examine how the urban innovation affect urban green development from the perspectives of government-scale, enterprise-scale and spatial correlation network, all of which are originally applied in the 108 cities of Yangtze River Economic Belt of China (YREB) during period 2006-2016. The evaluation results show that urban innovation promote urban green development, and both government-scale and enterprise-scale contribute to the effects. The constructed spatial correlation network of urban innovation illustrates the network structural form and reveals the network property, and further results tell that increasing network density and centrality would promote green development obviously. More specifically, the network density of urban innovation has been tied to the enhancement of urban green development, which is more significant in middle reaches than in lower and upper reaches of YREB. Similarly, optimizing the network’s degree centrality and closeness centrality can help facilitate urban green development in whole YREB. Thus, the research findings would provide new insights into the essence and driving forces from various scale and hidden network when exploring and seeking urban green development path.

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Do technological investments promote manufacturing productivity? A firm-level analysis for India

Cited by 35 publications

References 94 publications

The Impact of ICT Capital on Firm Output and Productivity: Evidence for Ecuadorian firms

The Impact of ICT Capital on Firm Output and Productivity: Evidence for Ecuadorian firms

Impact of Innovation and Exports on Productivity: Are There Complementary Effects?

Impact of Urban Innovation on Urban Green Development in China's Yangtze River Economic Belt: Perspectives of Scale and Network

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