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?:abstract
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This study seeks to dissect the basic factors that can elucidate the efficiency and innovation in biomass utilization to control carbon dioxide (CO(2)) emission and economic growth nexus particularly at the time that the worldwide CO(2) emission is at an all-time high and COVID-19 is ravaging the word We use data principally from the World Bank Indicators covering the period 1990-2016 to study the nexus among biomass utilization, economic growth, and CO(2) emission based on the moderating role of biotechnology in China On the basis of the results of our preliminary tests, we apply the autoregressive distributed lag (ARDL) for this analysis and employ the nonlinear autoregressive distributed lag (NARDL) as a robust check and also deploy the vector error correction model (VECM) to determine the direction of causality We find that long-run relationship exists among the factors in this study We additionally find that biotechnology has a critical but negative relationship with CO(2) emission in China Through hierarchical multiple regression analysis and PROCESS macro for mediation, moderation, and conditional process, we establish that biotechnology significantly moderates the relationship between biomass utilization and CO(2) emission in China Again, we discover that biomass utilization significantly decreases CO(2) emission in China Through the ARDL, NARDL, and VECM, we find empirical support for the growth hypothesis in China We conduct a series of diagnostic tests that prove the robustness of our estimates Based on our empirical evidence, this study recommends that China seeks sustainable economic development and environmental sustainability simultaneously by prioritizing biomass utilization and biotechnological innovation in the country
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