Examining the interaction of technology adoption-diffusion and sectoral emission intensity in developing and emerging countries

This study offers a new perspective on the drivers of environmental sustainability for sector level (manufacturing, mining, agriculture, business, trade, and transport) analysis. In this case, country-level sectoral dynamic index for technology adoption and emission intensity were constructed to study the environmental efficiency effect of technology adoption and technology diffusion across tradable and non-tradable sectors by using empirical illustration for 49 developing and emerging countries during 1990-2018 period. By correcting for potential bias arising from endogeneity and cross-border spillover effects via cross-section dependence, results reveal long-term effects of technological changes. Importantly, it is shown that the environmental efficiency effect of technology adoption holds in technology-intensive sectors (i.e manufacturing, mining, agriculture) only at lower capitali-zation levels, thus establishing a U-shaped nexus of technology adoption and carbon emission. Additionally, it is found that trade networks reduce emission intensities by improving technology diffusion across all the tradable sectors and in transport sector. Moreover, trade alone mitigates carbon intensity across all the sectors while income per capita spur carbon intensity in the tradable sectors. From policy insight, the study identifies the need for stricter policy directives to scale up energy and clean technologies adoption in all sector activities.

Automated summary

This study presents a new perspective on the drivers of environmental sustainability at the sector level. By constructing country-level sectoral dynamic indices for technology adoption and emission intensity, the study examines the environmental efficiency effect of technology adoption and technology diffusion across tradable and non-tradable sectors. The results indicate long-term effects of technological changes, with a U-shaped nexus between technology adoption and carbon emission in technology-intensive sectors, and trade networks playing a role in reducing emission intensities and improving technology diffusion.