加工厂能源与资源节约型创新管理优化

I. Okhrimenko, V. Rubezhanska, O. Solod
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引用次数: 0

摘要

在各国经济日益融入世界经济的背景下,确保任何国家经济稳定发展的主要条件之一是在企业的生产活动中引入和优化节能和资源节约的创新。同时,由于燃料、能源、原辅材料的高消耗,这些创新的使用与加工企业相关[1-4]。但是,由于加工行业整体投入不足、企业自有资金使用效率不高、创新项目信用风险高等原因,使得这些企业节能节约型创新的管理较为复杂。在这方面,加工业发展的首要任务是不断实现生产技术的现代化,优化金融和信贷机构与加工企业的互动,制定和实施经济管理机制,确保企业最有效地利用现有资源[5-9]。评估创新效率的主要问题之一是预期收益的不确定性。由于节能项目实施所获得现金流的不确定性,投资节能创新存在一定风险[10-12]。为了评估风险,建议使用变异系数(iota-coefficient) (1):
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OPTIMIZATION OF ENERGY AND RESOURCE-SAVING INNOVATION MANAGEMENT AT PROCESSING PLANTS
Given the strengthening of the national economies integration into the world economy, one of the main conditions ensuring stable economic development of any country is the introduction and optimization of energy and resource saving innovations in the production activities of enterprises. At the same time, the use of these innovations is relevant for processing enterprises due to the high level of consumption of fuel, energy, raw and auxiliary materials [1-4]. However, management of the energy and resource saving innovations at these enterprises is complicated by the lack of investment in the processing industry as a whole, low efficiency of use of the enterprise own financial resources, and high level of credit risk inherent in innovation projects. In this regard, the priority in the development of the processing industry is the constant modernization of production technologies, optimization of the interaction of financial and credit institutions with processing enterprises, development and implementation of the economic management mechanisms that will ensure the most efficient use of the resources available for the enterprises [5-9]. One of the main problems in assessing the efficiency of innovations is the uncertainty of the expected return. Due to the uncertainty of cash flows received from the implementation of the energy and resource saving project, there is some risk of investing in the energy and resource saving innovations [10-12]. To assess the risk, it is advisable to use the coefficient of variation ("iota-coefficient") (1):
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