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Understanding the influence of export volume in improving a country's clean energy consumption requires a systematic search method to characterize the crucial role to ensure environmental sustainability. The present study employed an autoregressive distributed lag (ARDL) bounds testing approach and vector error correction model (VECM), by using data from 1985-2018. The analysis revealed that in the long-run an increase in exports per capita and technological innovation can enhance clean energy consumption, and overcome environmental issues. Surprisingly, economic growth does not display significant effect. In the short run technological progress reduces clean energy consumption. The outcome of causality tests reveals a unidirectional from technological innovation to clean energy consumption in the short term. Along similar line, the results prove a feedback link among exports per capita and clean energy consumption, indicating that an increase in exports per capita is a core factor driving and improve energy use, among technological innovation and clean energy consumption, and among economic growth and clean energy consumption in the long run. To enhance clean energy and enable success in environmental improvement, policymakers in China should take proper initiatives to increase the clean trade, adjust the export pattern, and patent incentive technology, to ensure sustainable economic development.Contribution/ Originality: This study is one of very few studies which have investigated the role of exports in clean energy consumption in China, and contributes to the existing literature by employing the ARDL bounds testing approach and VECM to investigate the short-run and long-run interconnections.

Access to clean drinking water has become an increasingly urgent concern for China's government in the current decade. However, with the continuous economic growth, high export orientation, and investment in infrastructure, the interconnected challenges related to clean drinking water are stressed. This study aims to explore the effects of exports, in addition to such greatest factors affecting clean drinking water in China during 2000-2017. To provide comprehensive results we employ a co-integration approach, and conduct the empirical analysis by applying a semi-parametric regression model. Empirical results show that while the degree of export dependence exerted on clean drinking water negative effects, but has no predictive linear Granger cause. The results from the nonlinear model indicate that the effect of exports on clean drinking water shows an inverted "U-shaped" nonlinear impact in the national and urban levels. This indicates that only in the earlier stages, the degree of export dependence driving clean drinking water, and did not play a promoting role in the later stages. On the contrary, it exerts a positive "U-shaped" pattern at the rural level. The evidence for the impact of income inequality on expanding or contracting access to clean drinking water at overall levels is mixed. Contribution/ Originality:This study contributes to the existing literature on estimating the effect of the degree of export dependence on clean drinking water in China by employing the most robust econometric technique. The uniqueness of the study is examining nonlinear effects of the degree of export dependence in clean drinking water. pollution, energy, and environmental sustainability are stressed, particularly, clean drinking water. In this regard, Rudra (2011) emphasized that about 20% of the world population does not have to receive sufficient drinking water.Water is at the dynamo of economic development: it is essential to grow food, generate power, maintain health, and manage the environment. Clean water is the main target for the achievement of the 2030 development agenda.