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Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Green technology innovation is essential for achieving decarbonization as well as the goals of reaching peak carbon emissions and carbon neutrality. However, market failures often lead to an inadequate supply of green technologies, which needs macroeconomic policies to provide guidance. This paper aims to investigate the effects of the carbon market on green technology innovation. A theoretical model was developed to investigate mechanisms from firms′ low-carbon innovation to economic green transition. Then, based on panel data of A-share listed companies in China from 2000 to 2019, this study identified the dynamical characteristics of firms′ early investment actions using a first-order differential generalized moment estimation model. The results found that: ① Carbon market policies not only significantly affected the dynamic adjustment schedule of firms′ early investment structure but also successively promoted the green upgrading of their production equipment and innovation of new products, thereby serving as a support for the construction of the green innovation system. ② There were inter-industry differences in firms′ investment adjustments and green innovation, where industries with low embodied carbon emissions tended to focus on production equipment upgrading, while industries with high embodied carbon emissions preferred new product innovation. ③ Regional economic development and green tax incentives had significant influences on firms′ green investment decisions under carbon market policies. ④ In the context of carbon market policies, there was no crowding-out effect of firms′ green innovation on other types of innovation but a positive incentive for the economies′ overall innovation. Consequently, this study suggests that the national carbon market should be developed steadily; simultaneously, some synergistic policies should be implemented according to local conditions and situations. These can be helpful for the carbon market to serve as a longterm mechanism promoting firms′ green innovation and economic green transition and achieving the 'dual carbon' goals. [ABSTRACT FROM AUTHOR]

Financial evaluation of a mining construction project is an important part of the feasibility study. Taking a certain mining construction project as an example, cash flow analysis from different perspectives was conducted to comprehensively reflect the actual financial situation of the project during the future calculation period. This provides scientific and accurate basis for investment decision making regarding the construction project, thus avoiding decision-making mistakes to the greatest extent and reducing investment risks. [ABSTRACT FROM AUTHOR]

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, a multiple criteria sorting method based on pairwise comparisons of alternatives in the group decision making context is proposed. The method uses the outranking relation as decision makers' preference model. It requires decision makers to provide pairwise comparisons of some alternatives. It chooses a consistent pairwise comparison set with the maximal total reliability degrees based on these pairwise comparisons and the importance degrees of decision makers. A mixed integer linear programming model is built to calculate the range of classes to which the alternative can be assigned so as to guide decision makers to specify the fittest class of some alternatives. Then a representative function is selected to determine the fittest class of the remaining alternatives. At last, a sorting example of venture investments is provided to demonstrate the feasibility and rationality of the proposed method. [ABSTRACT FROM AUTHOR]