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Energy is pivotal for sustainable economic growth. Undoubtedly, the role of the composition of the export basket (measured as economic complexity) is one of the crucial variables influencing energy consumption. Despite its importance, the existing body of literature does not intensively study the relationship between economic complexity and total energy consumption. Therefore, this study's primary aim was to examine the effect of economic complexity on energy consumption in a case study of 21 developed and 44 developing countries for the period 1971–2014. In this context, economic complexity expresses the level of sophistication of a country's export basket. This paper considers energy prices and income as explanatory variables in Durbin‐H panel cointegration analysis and applies a cointegration test with structural breaks to check for the long‐run relationships. For the long‐run estimations, we employ the augmented mean group method and dynamic seemingly unrelated regression. The findings reveal that economic complexity increases energy consumption in developing countries while it decreases energy consumption in developed countries. This is an important insight for countries concerned about their energy dependence. The diversification of their production and export baskets can reduce energy needs. The paper finally presents policy recommendations based on the empirical estimates. [ABSTRACT FROM AUTHOR]

China's extensive economic growth has been accompanied with high levels of pollution, and excessive energy consumption has brought serious pollution problems. The use of financial resources to regulate green production modes and encourage high‐quality economic development has become a major focus in academia. At the same time, growth enterprise market (GEM) enterprises, which mainly operate in technology‐intensive industries, are assumed to have a simulating effect on regional innovation. Therefore, this paper utilizes the capital return differences of 4437 listed companies and 920 GEM companies based in 30 provinces of China from 2008 to 2018 to quantitatively analyze the levels of financial misallocation. With two‐stage regression method, the direct effect of financial misallocation on regional green total factor energy efficiency (GTFEE) and the indirect impact observed when taking regional innovation as an intermediary variable are discussed. Furthermore, dynamic threshold panel regression and heterogeneity analysis are used to verify the above nonlinear relationship. The empirical findings indicate that financial misallocation enhances innovation capability and further restrains GTFEE. With an improved degree of marketization and environmental regulation, the inhibitory effect of financial misallocation on GTFEE is more significant. [ABSTRACT FROM AUTHOR]

In response to the mounting risks posed by climate change, innovation and mitigation of pollution have emerged as key drivers of sustainable growth and the environment. This research aims to explore the effect of economic complexity and financial risk on the load capacity factor. The research employed a series of second‐generation techniques such as a method of moment quantile regression and Dumitrescu Hurlin panel causality covering the period between 1990 and 2018. The findings provided convincing evidence of cointegration. The long‐run analysis showed that renewable energy use, economic complexity and financial risk contribute to ecological quality. However, non‐renewable energy and economic progress threaten ecological quality by lessening the load capacity factor. The research revealed causality from financial risk, economic growth, disintegrated energy and economic complexity to load capacity factor. Lastly, a policy framework is proposed based on the study findings to accomplish the sustainable development goals (SDGs) 7, 13 and 17. [ABSTRACT FROM AUTHOR]