The exponential increase in carbon-dioxide resulting Global Warming would make the planet earth to become inhabitable in many parts of the world with ensuing mass starvation. The rise of digital technology all over the world fundamentally have changed the lives of humans. The emerging technology of the Internet of Things, IoT, machine learning, data mining, biotechnology, biometric, and deep le...

By evaluating green process innovation and its innovator’s benefit including shortand long-term dimensions, we first analyzed the relationship between green process innovation and its benefits. Second, we set up a regression model to test the hypotheses using 267 survey data from coal mining firms in China. Finally, we verified the positive relationship between green process innovation and its ...

The number of large coal power plants, characterized by pithead is increasing rapidly in major mining countries around the world. Overburden movement caused and greenhouse gas emissions thermal generation are intertwined, have become important challenges for mine ecological environment protection at present future. In order to provide more options green a base northwest China was taken as resea...

China produces and consumes most of coal in the world. This situation is expected to continue within a certain period in the future. Currently, Chinese coal industry is confronted with several serious problems relating to land resource, water resource, environmental, and ecological sustainability. Coal resource exploitation causes the permanent fracture and movement of strata structure, which h...

This paper provides the first systematic analysis of the choice by organizations to occupy green office space. We develop a framework of ecological responsiveness, and we formulate five propositions to explain why specific firms and industries may be more likely to lease green space. We test these propositions by analyzing the decisions of more than 11,000 tenants to choose office space in gree...

This paper concerns a text mining application designed to classify answers to “yes/no” questions. The corpus consists of responses to a European Union green paper. These answers are found first by parsing the responses to the green paper. After extracting features such as bag-of-words and bigrams, multiple classifiers are trained on the model and compared to each other. The Support Vector Machi...