基于BIM技术的绿色工程解决方案研究

建筑业资源消耗量巨大,发展绿色工程迫在眉睫,但基于现有技术实现绿色工程存在不少困难。探索将BIM技术运用到工程项目中,实现工程绿色化。介绍了绿色工程的概念,分析了BIM应用现状,以成都市南城都汇六期汇彩园商业及住宅项目BIM实践为例,从BIM策划、投标报价策略分析、管综优化、限额领料等方面进行剖析和论证,阐述了BIM应用于绿色工程的实践效果。     

基于清洁能源发展战略的神华集团人才培养研究

清洁能源发展是神华集团应对市场变化、实现持续发展的战略选择。“1245”清洁能源发展战略的核心是实现传统能源清洁化、清洁能源规模化。在战略实施过程中,培养一支复合型、应用型人才队伍是集团发展的必然要求。结合宏观经济环境和煤炭行业现状,系统梳理了神华集团人才储备现状,分析了人才现状与需求存在的不匹配情况,提出神华集团人才培养思路和方法并进行了有益探索,可为神华集团实现“建设世界一流清洁能源供应商”目标提供必要的人才保障。     

从物质思维到信息思维：互联网时代产品创新模式

传统的产品创新立足于物质思维,创新活动围绕物质实体直接变换或改进展开,而信息、能量对物质的能动作用被“屏蔽”,三者遵循“物质→能量→信息”演进路径,产品虚拟价值被忽略,创新过程显现出封闭性、边界性、控制性等特征。信息思维下的物质、能量、信息处于“等量齐观”的位置,产品创新遵循“信息能量物质”双向路径,三者共同参与实体价值与虚拟价值协同互动过程,产品创新显现出开放性、联系性、自然涌现性等特征。作为互联网时代的成功典范,小米公司产品创新模式契合信息思维应用趋势,其现象级成功为企业运用信息思维开展产品创新提供了思路借鉴。     

The hydroelectricity consumption and economic growth in Asian countries - evidence using an asymmetric cointegration approach

ABSTRACT

This study examines the four commonly tested hypotheses in hydroelectricity consumption – economic growth literature for 12 Asian countries. Our results from a recently developed hidden cointegration technique uncover rich and significant relationships between negative and positive components of the variables under consideration. In particular, we find evidence to support the neutrality hypothesis in five countries (Bangladesh, Indonesia, Pakistan, Philippines, and Thailand), the growth hypothesis in four countries (India, Japan, South Korea and Taiwan), and both growth and conservation hypotheses in three countries (China, Malaysia, and New Zealand). These findings suggest that appropriate economic policies should be elaborated on the basis of the country’s specific hydroelectricity consumption–growth nexus. Finally, our new evidence suggests that the lack of stable relationship between hydroelectricity consumption and economic growth documented in previous studies for some of these countries could be due to the failure to properly account for the nonlinearity property in the data.     

能源企业技术创新能力对财务绩效的影响——基于企业规模的门槛效应研究

能源消费和供给的重要性使得政府给予能源企业技术创新更多关注和支持,能源企业经营存在较大风险使得能源企业技术创新能力对财务绩效的影响呈现一定特殊性。以我国能源企业2013-2018年技术创新投入与产出能力指标为样本数据,采用因子分析法和动态面板门槛效应模型,在评价能源企业技术创新能力的基础上,分别研究能源企业技术创新投入和产出能力对财务绩效的影响及企业规模门槛效应。研究结果表明,能源企业的技术创新投入和综合能力对财务绩效的影响存在显著的门槛效应,而产出能力的表现并不显著。研究结果可为国家和能源企业的技术政策制定和创新投入决策提供参考。     

Can investors of Chinese energy stocks benefit from diversification into commodity futures?

We attempt to evaluate the diversification potential of commodity futures for energy stocks in China. With a variety of copula functions and three risk-based dynamic measures, our results show that even though commodity futures are not helpful in improving the risk-adjusted returns of energy stocks, they can significantly reduce the volatilities and expected-shortfalls of the diversified portfolios. Such diversification benefits are much larger during large market downturns than during normal times. In particular, gold (copper) futures are the most (least) attractive in diversifying risks of energy stocks in most cases. The results also highlight that the non-linear dependence cannot be ignored when estimating the diversification benefits, and more various risk hedging strategies are expected for investors holding energy stocks, especially coal company stocks.     

中国经济增长与能源消费空间面板分析

近年来面板数据广泛应用于各类统计分析,但变量的空间相关并没有引起足够的重视。本文引入空间面板回归模型研究中国各省市区经济增长和能源消费的关系。利用matlab软件及其spatial econometric模块建立和比较传统面板回归模型与空间面板回归模型,结果表明空间面板回归模型较传统面板回归模型优越,本文的研究为空间面板数据分析提供了一个应用实例。     

欧洲聚变能组织参与实施ITER计划的组织与管理经验

欧洲聚变能组织(F4E)成立于2007年,是欧盟委员会为参与实施国际热核聚变实验堆(ITER)计划而成立的欧洲执行机构。自成立以来,F4E经历了一系列改革,管理结构不断完善,目前的管理架构由管理委员会、执行委员会、技术咨询委员会和欧洲聚变能组织主任组成。F4E通过合同发包形式对ITER项目实施研发资助和实物采购,其采取的政策是:立足欧洲,面向世界;遵循透明、公正、平等对待和无歧视性原则;促进技术成果转移;鼓励不同规模的企业参与;对于研发资助合同,采取共同资助策略。借鉴欧盟实施ITER的经验,我国参与实施ITER计划应以ITER采购为契机,推动企业提高自主创新能力;应妥善处理知识产权问题。     

A new economics approach to modelling policies to achieve global 2020 targets for climate stabilisation

This paper explores a Post Keynesian, ‘new economics’ approach to climate policy, assessing the opportunities for investment in accelerated decarbonisation of the global economy to 2020 following the Great Recession of 2008–2009. The risks associated with business-as-usual growth in greenhouse gas (GHG) concentrations in the atmosphere suggest that avoiding dangerous climate change will require that the world’s energy-economy system is transformed through switching to low-carbon technologies and lifestyles. Governments have agreed a target to hold the increase in temperatures above pre-industrial levels to at most 2°C and have offered reductions by 2020 in GHG emissions or the carbon-intensity of GDP. The effects of policies proposed to achieve pathways to 2020 towards this target are assessed using E3MG, an Energy-Environment-Economy (E3) Model at the Global level. E3MG is an annual simulation econometric model, estimated for 20 world regions over 1972–2006 adopting a new economics approach. Additional low-GHG investment of some 0.7% of GDP, with carbon pricing and other policies, is sufficient to achieve a pathway consistent with a medium chance of achieving the long-term target. GDP is above reference levels because decarbonisation reduces world oil prices and increases investment. Employment is some 0.9% above reference levels by 2020 and public finances are almost unaffected.     

A new energy model to capture the behavior of energy price processes

Owing to the vague fluctuation of energy prices from time to time, a new energy model, which considers both the mean-reverting behavior and the long memory property, is proposed in this paper. Since the problem of estimating parameters, in discrete time for this model, plays a central role in forecast inference, the problem of estimating the unknown parameters has been dealt with for the fractional Ornstein–Uhlenbeck process observed discretely. The asymptotic properties of these estimates are also provided. The numerical simulation results confirm the theoretical analysis and show that our method is effective. To show how to apply our approach in realistic contexts, an empirical study of energy in China, namely Daqing crude oil, is presented. The empirical results seem reasonable when compared to the real data.