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<abstract><p>This paper aims to measure the impacts of environmental policy uncertainty on green innovation and explore the transmission channel that is less understood in past scientific works. In this paper, we use a newspaper-based sentiment mining approach to establish an index of environmental policy uncertainty in China and implement web crawlers and text analysis techniques to construct a network public opinion index of the Chinese financial market. Then, we explore the relationships between environmental policy uncertainty, network public opinion, and green innovation through the time-varying parameter structural vector autoregressive with stochastic volatility (TVP-VAR-SV) model. The transmission channels of environmental policy uncertainty to green innovation are depicted by selecting different timing of policy release. Our empirical study results show that the fluctuations of environmental policy uncertainty, network public opinion, and green innovation have time-varying characteristics. Furthermore, the findings reveal interactions among the three variables: 1) The environmental policy uncertainty can influence green innovation through network public opinion. 2) The environmental policy uncertainty has both inhibited and promoted effects on network public opinion and green innovation. 3) There are differences in the direction and the degree of impulse responses among the above three variables in the context of uncertainty shocks. Besides, managerial relevance and policy implications are also provided for decision-makers facing sustainable development challenges.</p></abstract>

As retailing is the customer-based business and easy to observe, standing in this area will be a good view to see the wisdom of business management to change the world. After choosing retail coffee industry as topic, by which Starbucks represented, we will have two major contents to see the knowledge and the insight of business management and industry development research based on Starbucks business model. They are project selection and analysis of Starbucks involving industry development. The Starbucks business model analysis involves product management, customer relationship management, culture and brand management, and ethical marketing and corporate social responsibility. There are still some risks imbedded in the business model. Risks should be estimated and evaluated in advance, whilst project managers need to follow risk mitigation strategies.

<abstract><p>Based on the data from January 2007 to December 2021, this paper selects 14 representatives from four levels of the extreme risk of financial institutions, the contagion effect between financial systems, volatility and instability of financial markets, liquidity, and credit risk systemic risk. By constructing a Savitzky-Golay-TCN deep convolutional neural network, the systemic risk indicators of China's financial market are predicted, and their accuracy and reliability are analyzed. The research found that: 1) Savitzky-Golay-TCN deep convolutional neural network has a strong generalization ability, and the prediction effect on all indices is stable. 2) Compared with the three control models (time-series convolutional network (TCN), convolutional neural network (CNN), and long short-term memory (LSTM)), the Savitzky-Golay-TCN deep convolutional neural network has excellent prediction accuracy, and its average prediction accuracy for all indices has increased. 3) Savitzky-Golay-TCN deep convolutional neural network can better monitor financial market changes and effectively predict systemic risk.</p></abstract>

New energy has become a focus of public and scientific scrutiny for the sustainable development. This paper reviews related literature of new energy involving sustainable development, and studies the evolution of emerging trends by a scientometric analysis to evaluate all relevant academic publications. The literature summary is conducted and the publication trend of the related literature is revealed. Research fields of new energy and sustainable development related articles are discussed, and then literature distributions involving journals and countries are analysed. A scientometric analysis for new energy and sustainable development involves a precise observation of new energy development trends, providing new research ideas that could be extended to other fields about sustainable development.