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With the massive use of fossil energy polluting the natural environment, clean energy has gradually become the focus of future energy development. The purpose of this article is to propose a new hybrid forecasting model to forecast the production and consumption of clean energy.

Firstly, the memory characteristics of the production and consumption of clean energy were analyzed by the rescaled range analysis (R/S) method. Secondly, the original series was decomposed into several components and residuals with different characteristics by the ensemble empirical mode decomposition (EEMD) algorithm, and the residuals were predicted by the fractional derivative grey Bernoulli model [FDGBM (p, 1)]. The other components were predicted using artificial intelligence (AI) models (least square support vector regression [LSSVR] and artificial neural network [ANN]). Finally, the fitting values of each part were added to get the predicted value of the original series.

This study found that clean energy had memory characteristics. The hybrid models EEMD–FDGBM (p, 1)–LSSVR and EEMD–FDGBM (p, 1)–ANN were significantly higher than other models in the prediction of clean energy production and consumption.

Consider that clean energy has complex nonlinear and memory characteristics. In this paper, the EEMD method combined the FDGBM (P, 1) and AI models to establish hybrid models to predict the consumption and output of clean energy.

The purpose of this paper is to understand whether firms are driven by external pressure or intrinsic value to conduct green management; this study examines the effects of coercive pressure and ethical responsibility on cross-functional green strategy alignment (GSA) and green process coordination (GPC), and in turn, market and environmental performance.

Based on data from 206 Chinese manufacturers, this study empirically tests the proposed relationships using structural equation modeling.

The results highlight the role of coercive pressure in promoting both GSA and GPC that represent functional green efforts at both strategic and operational levels, indicating firms’ critical concern of obtaining external legitimacy from stakeholders. Ethical responsibility as an intrinsic value promotes GPC that demands joint working from different functions at the operational level. Besides, the authors find that GSA improves market and environmental performance, whereas GPC only enhances environmental performance.

This study adds to the knowledge of the drivers of cross-functional green management from external pressure and intrinsic value perspectives. The findings are also fruitful for practitioners and policymakers.