Research on the Economic Benefits of the Application of Source-grid-load-storage System in Oilfield Enterprises

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Description
While the central government of China established its "dual carbon" goals, transformation of energy structure has become key component of the country's energy revolution and economic reform. Installment of the "Source-Grid-Load-Storage" (SGLS) systems is crucial for implementation of the ESG

While the central government of China established its "dual carbon" goals, transformation of energy structure has become key component of the country's energy revolution and economic reform. Installment of the "Source-Grid-Load-Storage" (SGLS) systems is crucial for implementation of the ESG goals in domestic oilfields and uplifting of the economic efficiency for oil production. The SGLS system is a micro power grid capable of dispatching power among multiple equipment in the most efficient way but to consider multi factors including power generation, power storage, and electrical load. However, the randomness and intermittency of renewable energy power generation imposes significant challenges to the SGLS systems control, making it difficult to assess the economic benefits and therefore being undervalued by oil companies for its potential ESG benefits.To promote SGLS systems to be applied in the oilfields, this paper proposes a model to assess economic benefits of the SGLS system. Based on real data generated by sample Oilfield, an operation model designed for the SGLS system is established to access the optimal cost structure. Factors that have been built into the model include the main grid purchasing cost, dissipation cost during power transport, photovoltaic power generation cost, and energy storage cost. By calculating the optimal cost structure with the mentioned multi factors built in, the model can predict operational outcome of the SGLS system in real-time and guide on the power dispatching. Meanwhile, the model is trying to maintain the minimum requirement of energy reserve. Based on scenario testing, the economic benefits of SGLS system in oilfield production are assessed with an optimized cost approach, therefore a valuable reference for the oil industry. This research also conducted interviews with key people in the oil industry and proposes strategies to improve the economic benefits of SGLS systems in Oilfield based on takeaways from those interviews. This could be value-adding to accelerate construction of SGLS systems and its application in the oilfields. Meanwhile, the SGLS operational model designed in this paper as a power generation solution is innovative to the energy industry and with obvious economic benefits. Therefore, it could also be an enabler of the oil industry’s sustainable development in the long run.
Date Created
2024
Agent

Technology for Good - A Study of the Impact of Digital Economy Firms' Participation in the Common Wealth Model on Firm Performance

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Description
Under the new generation of technological and industrial revolutions, digital economy enterprises are increasingly becoming major contributors to socio-economic development. Their scale effect and marginal cost effect are different from traditional enterprises, which also raises concern and discussion on whether

Under the new generation of technological and industrial revolutions, digital economy enterprises are increasingly becoming major contributors to socio-economic development. Their scale effect and marginal cost effect are different from traditional enterprises, which also raises concern and discussion on whether digital economy enterprises can promote more equitable and sustainable development of society. The participation of digital economy enterprises in the common wealth is an important source of legitimacy for their development. This thesis investigates the mechanism of the impact of their common wealth inputs on corporate financial performance by using a sample of digital economy firms among Chinese listed companies as a case study. It is found that, overall, the mechanism of the effect of firms' common affluence model on their financial performance has a positive effect. The main source of this positive effect is the secondary distribution of the firm, i.e., the legitimacy of tax contributions. Other legitimacy such as employee and shareholder legitimacy are not significantly associated with financial performance, while social philanthropic input from tertiary distribution participation has a significant negative effect. In the association of redistribution on firm performance, there is a positive facilitating effect on firms' R&D efficiency and a negative moderating effect of economic policy uncertainty. It suggests that there are differences in the impact of firms' legitimacy initiatives, such as tax contributions, on performance under different firm development expectations. Whereas in the third distribution, firms' R&D efficiency has a crowding-out effect on the economic gains from the legitimacy of common wealth participation, economic policy uncertainty has a reinforcing effect in the third distribution of firms. The above suggests that the development of digital economy firms is more positively facilitated by official legitimacy and currently lacks the constraints of industrial ecology from internal and public scrutiny.
Date Created
2023
Agent

十面埋伏下,中国微机电企业竞争格局的战略突破

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Description
作为凸显国际竞争战略的重要标志性产业之一,MEMS传感器因其技术含量高、市场前景广阔等特征备受全球主要国家的重点关注。我国MEMS传感器产业驱动力主要表现为政策的正向驱动效应明显,下游需求潜力巨大,资本流入效应明显,企业研发重视程度不断提高等。在这些驱动因素下,我国MEMS产业涌现出以敏芯股份为代表的诸多优秀企业,国产化MEMS逐步在单一产品上突破外商“包围”,在全球占据较大市场份额,初步实现了点的突破。从MEMS产业本身来看,MEMS产品的商业进程慢、生产工艺非标准化、严重依赖下游应用场景、需求定制化程度高,技术端和需求端匹配要求极高,这意味着MEMS企业的先发优势尤其重要。然而,从技术成熟度、企业经营状况、竞争者数量等方面来看,本土MEMS传感器行业的替代趋势尚处初级阶段。企业规模还只是国际领先企业的零头, 产品比较单一,集成化集中度不高,而且产品加工制造等关键环节还严重依赖象IMT, TSMC(台积电)这样的外资控股企业。 在此背景下,本文以我国MEMS传感器产业链为切入点,系统梳理MEMS传感器产业上、中、下游产业链的发展现状、竞争格局与发展趋势等。一方面,本文通过剖析全球MEMS产业链现状,并对比分析中国MEMS产业发展的现状、困境、不足和未来发展趋势,以此强化对MEMS产业更为深刻、理性和全面的认知;另一方面,本文通过对比分析中国MEMS上市公司主营策略,并结合敏芯股份、美新半导体等案例,分析国内MEMS相关企业的全产业链的竞争格局, 提出了本人对如何实现突围,如何在全球市场抢占先机的竞争战略思考。
Date Created
2023
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Advances at the Interface of Combinatorial Optimization and Computations Social Choice: Mathematical Formulations, Structural Decompositions, and Analytical Insights

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Description
The rank aggregation problem has ubiquitous applications in operations research, artificial intelligence, computational social choice, and various other fields. Generally, rank aggregation is utilized whenever a set of judges (human or non-human) express their preferences over a set of items,

The rank aggregation problem has ubiquitous applications in operations research, artificial intelligence, computational social choice, and various other fields. Generally, rank aggregation is utilized whenever a set of judges (human or non-human) express their preferences over a set of items, and it is necessary to find a consensus ranking that best represents these preferences collectively. Many real-world instances of this problem involve a very large number of items, include ties, and/or contain partial information, which brings a challenge to decision-makers. This work makes several contributions to overcoming these challenges. Most attention on this problem has focused on an NP-hard distance-based variant known as Kemeny aggregation, for which solution approaches with provable guarantees that can handle difficult large-scale instances remain elusive. Firstly, this work introduces exact and approximate methodologies inspired by the social choice foundations of the problem, namely the Condorcet criterion, to decompose the problem. To deal with instances where exact partitioning does not yield many subsets, it proposes Approximate Condorcet Partitioning, which is a scalable solution technique capable of handling large-scale instances while providing provable guarantees. Secondly, this work delves into the rank aggregation problem under the generalized Kendall-tau distance, which contains Kemeny aggregation as a special case. This new problem provides a robust and highly-flexible framework for handling ties. First, it derives exact and heuristic solution methods for the generalized problem. Second, it introduces a novel social choice property that encloses existing variations of the Condorcet criterion as special cases. Thirdly, this work focuses on top-k list aggregation. Top-k lists are a special form of item orderings wherein out of n total items only a small number of them, k, are explicitly ordered. Top-k lists are being increasingly utilized in various fields including recommendation systems, information retrieval, and machine learning. This work introduces exact and inexact methods for consolidating a collection of heterogeneous top- lists. Furthermore, the strength of the proposed exact formulations is analyzed from a polyhedral point of view. Finally, this work identifies the top-100 U.S. universities by consolidating four prominent university rankings to assess the computational implications of this problem.
Date Created
2022
Agent

汽车服务/维修企业顾客保留的影响因素及干预策略研究

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Description
随着中国汽车市场销量和增长率的下滑,销售企业面临着越发激烈的竞争。企业若要在激烈的市场竞争中实现生存和发展,吸引和留住顾客最为关键。那么,哪些因素会影响顾客保留?商家采取的各种促销策略有效性如何?服务失败的各种补救措施效果如何?为此,本研究首先,盘点中金国盛公司的经营近况;其次,分析影响顾客保留的关键因素和效果;再次,探索各种促销策略对顾客保留的有效性;最后,对比分析各种服务补救的有效性。本研究设计了文献研究、问卷调查、现场实验等,和方差分析、相关分析等多种方法。发现:①顾客满意和关系质量正向影响顾客保留;②抽奖和自驾游最有效,抽奖使顾客继续寻找其它促销;③未及时修好车的负向影响最强;④社会性和情感性补救组合的效果最好。最后,对研究发现进行了总结,对应用进行了讨论。
Date Created
2022
Agent

农村银行业金融机构资产规模对盈利能力的影响研究

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Description
近几年,随着国家对“三农”问题的不断重视,相关部门先后下发了金融业支持新农村建设的相关政策,推动了以农信社、村镇银行、农村合作银行等为代表的农村银行业金融机构的发展,各地区农村银行业金融机构迎来了快速发展的时期。但是迅速发展过程中发现部分地区农村银行业金融机构盈利水平并没有出现等比例的增长甚至是下降。

本文从资产规模的角度,对农村银行业金融机构的盈利能力是否存在一个最适资产规模进行分析和检验。结合既有文献的研究成果以及笔者多年从事县域农村银行业金融机构股权投资的相关检验,本文梳理出资产规模、治理结构(国企持股比例、员工持股比例)、业务管理(存贷比、成本收入比、贷款集中度、个人贷款占比、个人存款占比)和环境因素(地区经济、居民储蓄、区域人口)等会对县域农村银行业金融机构盈利能力产生影响的内外部因素,构建了农村银行业金融机构资产规模与盈利能力之间的实证模型,并基于46家县域农村银行业金融机构2013-2017年面板数据,利用非线性固定效应回归模型检验了农村银行业金融机构最优规模。

研究发现,(1)样本农村银行业金融机构的最优规模在64亿元左右,有16家处于最优规模以下。(2)居民储蓄水平的提升有助于农村银行业金融机构提高盈利能力,但同等规模条件下,居民储蓄低地区的农村银行业金融机构盈利能力更强。(3)以成本收入比为表征的农村银行业金融机构业务管理水平限制了其盈利能力提升。

关键词:农村银行业金融机构;盈利能力;资产规模;影响因素; 非线性固定效应回归模型
Date Created
2020
Agent

多元化集团母公司心智图 对公司战略成效的影响:理论与案例分析

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Description
中国自80年代以来随着改革开放和经济发展潮流,一批批本土企业快速成长,已经从单一主业壮大成熟,完成资本积累并快速朝多元化、规模化发展。截止到2019年中国有129家企业进入世界500强,而该数量在2011年为69家 ,2005年为18家。这一数据反映了中国大型集团的增长速度之快、数量之多令人刮目相看。

然而,大型企业集团在经营规模上的庞大并不能掩盖其管理水平的低下与尴尬,这一点从多数企业的规模和利润比率就可窥见一斑。从战略管理角度看,集团企业在单一主业上的业务战略管理水平(竞争战略)经过30多年的发展和沉淀已经相对成熟,在某一行业领域也发展沉淀了很多成熟的职业经理人和专业人才。但是,国内至今很少有多元化集团战略管理(公司层面战略)的专题研究,且在多元化集团战略管理实践方面缺少经验和积累。多元化集团战略及管理领域的研究具有重要的现实意义和学术价值。

公司层面战略的研究起始于20世纪50年代,现有研究领域以西方学者为主,涉及公司层面战略的诸多领域,比如分部化、一般管理技能共用、协同效应、多元化、业务组合规划、基于价值的规划、重组、核心竞争力和资源共享、母合优势等全新和具有全球影响力的母公司管理概念。本文涉及的多元化集团公司战略三要素:母公司管理机制、业务组合、母子公司管控及子公司之间联接之前有西方学者作为独立课题都曾研究过,但作为整体性研究较少。中国目前研究该公司层面战略成果较少,市场上从事该领域的咨询机构也很少,少数咨询公司业务以多元化集团战略管控咨询方面为主。本文将从多元化集团母公司心智图对公司层面战略成效影响的研究作为核心内容,这项研究在中国乃至在世界范围内尚属初步尝试。

母公司心智图代表了某一时期多元化集团核心决策层的战略管理思维水平现状,是核心决策层对多元化集团公司战略三个核心要素及其相互关系的认知和掌握程度的集中体现。母公司心智图水平的测量可以从核心决策层的构成合理性及成员背景、核心决策层对行业及业务组合的认知水平、核心决策层对对母公司管理机制的认知水平、核心决策层对母子公司之间的联接及影响的认知水平以及核心决策层对多元化集团战略管理的综合能力水平这五个维度,共15个指标进行测量,总分100分。掌握了母公司的心智图就能够识别整个公司战略管理的现状及逻辑。母公司心智图决定了母公司管理机制、母子公司的联接影响方式(母公司如何影响和联接旗下业务)和业务组合(公司资金和管理的投向),而这三个核心要素的决策决定了公司层面战略的成效。母公司心智图的水平将很大程度上正面影响公司的战略成效。

本文将深入针对具有三个不同心智图水平的多元化集团进行案例分析,分别研究不同的母公司心智图水平如何通过影响业务组合决策、母公司管理机制建设、母子公司联接进而影响公司的战略成效。

关键词: 多元化集团、母公司心智图、心智图测量、公司层面战略管理三支柱、战略成效
Date Created
2020
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中国光伏电站投资估值分析及投资决策方法研究

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Description
中国光伏市场大发展起步于2009年,经过近10年快速发展,已经成为全球第一大光伏发电设备制造和光伏发电应用国家。但随着光伏产业发展,并网消纳、低价竞争、政策波动等问题造成的影响越来越大,光伏电站资产收益的不确定性越来越高,使企业参与光伏产业积极性不断下降,国家制定相关政策也缺乏依据,光伏产业发展进入瓶颈期。

光伏电站资产价值的准确评估越来越难,一方面源于光伏设备价格的调整周期越来越短、光伏补贴的政策调整速度不断加快;另一方面也因为光伏发电受自然条件、设备条件、政策条件等各种因素影响,有较高的不确定性。这些不确定性形成了光伏电站资产,乃至类似相关的新兴产业,投资价值评估的特殊性。同时光伏电站资产又具有初始投资大,项目回收期长等因素,也增加了光伏电站资产评估的复杂性。

当前在光伏电站资产价值评估所使用的方法包括净现值法、回收期法、内部收益率等,在投资决策中也包含实物期权评估等方法。这些方法在光伏电站资产评估中各有特点,本论文将结合实际案例经验,对这些评估方法进行分析,验证评估方法的有效性,并提出提升光伏电站资产估值准确性及投资决策流程的建议 。

对以光伏为代表的新兴战略行业资产投资价值分析研究, 不仅能够为企业提供参与类似产业投资决策提供帮助,对国家制定相应新兴产业支持政策以也有重要借鉴价值。

关键词: 光伏电站估值 光伏电站投资 实物期权 投资决策流程 决策优化方法
Date Created
2020
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