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Economic analysis of sustainable exports value addition through natural resource management and artificial intelligence

Abstract:

Sustainable exports value addition is extremely essential in contemporary economies as they provide individuals and businesses with numerous additional destinations for their products and serve as source of foreign exchange earnings. Mismanagement of natural resources is thought to be essential in growing natural resource curse and, as a result, decreasing the value addition of sustainable products, contributing to unsustainable development. Artificial intelligence, along with other factors, has emerged as a major driver of output and value addition. The present study investigates the asymmetric role of artificial intelligence and natural resource management on sustainable export value embedment over the period 1980–2020 for China's economy using the Non-linear Autoregressive Distributed Lag (NARDL) model. The results of the study validate the asymmetric association between artificial intelligence and sustainable export value addition. Similarly, an asymmetric relationship exists between natural resource management and the value of sustainable export. Further, the dynamic multiplier analysis advocates that the effect of negative shock in artificial intelligence is dominant whereas the impact of positive shock in natural resource management is influential on increasing sustainable export value addition. Therefore, our study concludes that policymaking on the assumption of concerned symmetric impacts is misleading. Lastly, our study suggests that policymakers may strive for high growth trends and refrain from the decline in artificial intelligence and natural resource management so that stipulated sustainable value addition can be obtained.