Process innovation in low-tech industries in India: An empirical exploration.

Till now, studies have determined the existence of process innovation using survey data; however, in this paper, we use secondary data to empirically establish its presence in low-tech industries. Our empirical approach consists of data envelopement analysis in the first step followed by regression analysis in the second step. We use a cross-sectional dataset, i.e., Annual Survey of Industries, 2017–2018 for our study. Our results suggest that among Indian low-tech firms, investment in computer equipment and software is the most popular strategy to trigger process innovation followed by investment in plant and machinery. We find that these factors have a greater impact on firms that export products and import inputs, than on firms that export products but do not import inputs. In other words, the export-import orientation of firms induces a differential impact of these factors on process innovation. One policy implication from the study is that government should encourage and incentivize low-tech firms to improve the capabilities of its labour force. This is the first paper in the Indian context that uses secondary data to empirically determine the existence of process innovation in low-tech industries. [ABSTRACT FROM AUTHOR]