Threshold nonlinear relationship between renewable energy consumption and agriculture productivity: the role of foreign direct investment and financial inclusion.

Global warming is a life-threatening risk to mankind and its survival; to combat this risk, the considerable contribution of renewable energy cannot be overlooked for sustainable growth globally. The aim of this paper is to scrutinize the threshold level and asymmetric connection among renewable energy consumption, foreign direct investment, financial inclusion, and agricultural productivity in dissimilar regimes of the different income levels of 123 countries from 1995 to 2019 by applying an advance technique PSTR (panel smooth transition regression) model. The PSTR model results imply that the connection between renewable energy consumption and agricultural productivity at all the estimates is non-linear. Moreover, in all countries, there is a positive and significant connection among renewable energy consumption, foreign direct investment, financial inclusion, and agricultural productivity in both low and high regimes, except the carbon emission, which has a negative and significant impact on agricultural productivity. Based on the results of this study, the recommendations are as follows: (i) to increase renewable energy consumption, efficient-energy resources should be used by farmers for the agricultural process; (ii) the dependence on non-renewable energy resources should be minimized and shifted towards natural and renewable resources.

A threshold approach to sustainable development: Nonlinear relationship between renewable energy consumption, natural resource rent, and ecological footprint.

All over the world, humankind and nature are paying off economic development's opportunity cost through accelerated environmental degradation. Renewable energy is the best option to control and minimize environmental degradation for sustainable development. This study's primary motive is to examine the nonlinear relationship between renewable energy consumption, natural resource rent, and ecological footprint in the context of the world's top 15 renewable energy consumption economies to achieve sustainable development. Panel time-series data from 1996 to 2018 is focused on concluding the study. Panel Smooth Transition Model is used to explore the nonlinear relationship and transition between the low and high regimes because of the nonlinear behavior. The study's results suggest a negative association between renewable energy consumption and ecological footprint and a positive relationship between natural resource rent and ecological footprint in both low and high regimes in the case of these 15 economies. It is highly recommended that the nations must shift their energy consumption policies towards renewable energy sources by investing in renewable energy technology and research for a more sustainable development.