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The purpose of this paper was to perform a detailed analysis of the challenges faced while developing and using econometric models to forecast future transportation demand. To this end, a comparative analysis of the state of practice and state of the art was undertaken on a concrete example – Viracopos Airport in Brazil. A review of relevant technical and scientific literature identified a number of approaches and each representative example was synthesized into a specification “template”. We then compared the performance of each “template” with the observed demand, through an intra-series forecast. A general finding was that econometric model specifications proved to be somewhat homogenous and simpler in nature, with results indicating a relatively small difference in fit and forecast capability across models. Even with the elimination of what is typically considered the main culprit for deviations – the forecast uncertainty of the explanatory (input) variables – the forecast is still subject to sizeable deviation. To address this issue, we proposed developing some sanity check indexes, particularly relevant for long-term forecasts. We conclude that the challenges faced at the Viracopos Airport Concession were far from econometric ones, that the success of the demand forecast and the concession itself required more than a well estimated econometric model. Finally, regarding investment obligations within the concession agreement, we strongly recommend making them conditional to meeting demand milestones, given the inherent unpredictability in forecasts.  相似文献   
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在中国开放经济体制下的基准货币需求模型中,本文将源于国际金融市场的持币成本设为遗漏潜变量,并构建特定的国际金融综合指数(CIFI)作为该潜变量的测度。借鉴机器学习与测度理论,本文利用对数误差修正模型提出了分步降维的CIFI构造算法,构造了长期CIFI和短期CIFI。结果表明,CIFI构造中的无监督降维步骤有助于减少高维金融数据中的冗余信息。实证分析发现,国际机会成本对中国货币需求具有规律性的前导影响,而在2007至2008年国际金融危机期间,央行的应急措施对长期CIFI所代表的非均衡冲击起到明显的阻截效果,对短期CIFI的影响基本是持续不变的。通过综合指数构造与宏观货币需求模型的算法连接,可以利用CIFI的构成结构从前导时间与影响强度两方面追踪冲击货币需求的国际金融风险的具体来源,这为宏观决策者监测国际金融市场提供了颇有规律的信息。在方法论上,本研究为如何利用模型监测国际金融市场影响宏观经济开辟了一条新路。  相似文献   
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The outbreak of the COVID-19 pandemic has drastically disrupted the air cargo industry. This disruption has taken many directions, one of which is the demand imbalance which occurs due to the sudden change in the cargo capacity, as well as demand. Therefore, the random change leads to excessive demand in some routes (hot-selling routes), while some other routes suffer from a big shortage of demand (underutilized routes). Routes are substitutable when there are several adjacent airports in the Origin & Destination (O&D) market. In this market, demand imbalance between substitutable routes occurs because of the above reasons. To tackle the demand imbalance problem, a novel model is introduced to estimate the quantity combinations which maintains the balance between underutilized and hot-selling routes. This model is a variant of the classic Cournot model which captures different quantity scenarios in the form of the best response for each route compared to the other. We then cultivate the model by integrating the Puppet Cournot game with the quantity discount policy. The quantity discount policy is an incentive which motivates the freight forwarders to increase their orders in the underutilized routes. After conducting numerical experiments, the results reveal that the profit can increase up to 25% by using the quantity discount. However, the quantity discount model is only applicable when the profit increase in the hot-selling route is greater than the profit decrease in the underutilized route.  相似文献   
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The M5 competition uncertainty track aims for probabilistic forecasting of sales of thousands of Walmart retail goods. We show that the M5 competition data face strong overdispersion and sporadic demand, especially zero demand. We discuss modeling issues concerning adequate probabilistic forecasting of such count data processes. Unfortunately, the majority of popular prediction methods used in the M5 competition (e.g. lightgbm and xgboost GBMs) fail to address the data characteristics, due to the considered objective functions. Distributional forecasting provides a suitable modeling approach to overcome those problems. The GAMLSS framework allows for flexible probabilistic forecasting using low-dimensional distributions. We illustrate how the GAMLSS approach can be applied to M5 competition data by modeling the location and scale parameters of various distributions, e.g. the negative binomial distribution. Finally, we discuss software packages for distributional modeling and their drawbacks, like the R package gamlss with its package extensions, and (deep) distributional forecasting libraries such as TensorFlow Probability.  相似文献   
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动态比较珠三角工业发展阶段和设计水平不同的典型区域内,工业用户和最终消费者用户双重需求拉动设计创新以及设计驱动工业增长作用机制的异同,提出克服互动系统短板并因地制宜实施设计驱动转型升级的对策建议。基于SVAR建模的脉冲响应和方差分解分析发现:珠三角工业确实可以通过工业设计创新驱动实现内生性可持续增长,而设计水平的地区差异对设计驱动绩效有调节作用;工业发展质量和结构欠佳,无法有效拉动区域工业设计创新,是珠三角多数地区工业设计有效需求不足的根本原因。区域工业设计与工业互动系统的短板是缺乏内行和挑剔的最终消费者有效需求。最后基于模型稳健性检验,提出因地制宜科学实施设计驱动发展战略的对策建议。  相似文献   
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Many models have been studied for forecasting the peak electric load, but studies focusing on forecasting peak electric load days for a billing period are scarce. This focus is highly relevant to consumers, as their electricity costs are determined based not only on total consumption, but also on the peak load required during a period. Forecasting these peak days accurately allows demand response actions to be planned and executed efficiently in order to mitigate these peaks and their associated costs. We propose a hybrid model based on ARIMA, logistic regression and artificial neural networks models. This hybrid model evaluates the individual results of these statistical and machine learning models in order to forecast whether a given day will be a peak load day for the billing period. The proposed model predicted 70% (40/57) of actual peak load days accurately and revealed potential savings of approximately USD $80,000 for an American university during a one-year testing period.  相似文献   
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通过需求侧资源促进可再生能源并网消纳,能够降低系统对传统燃煤备用机组和输电线路扩容的需求,具有显著的经济、环保效益。为了促进需求侧资源的合理开发和利用,服务于促进整个电力系统中可再生能源的消纳,文章首先分析了我国间歇可再生能源并网消纳传统模式及存在的问题;然后,构建了面向需求侧资源业主、电网企业和发电企业三个市场主体,涉及长期规划、短期运行和需求侧资源促进可再生能源并网消纳贡献度评价的我国需求侧资源促进间歇可再生能源并网消纳的“三横三纵”模式;最后,研判我国促进间歇可再生能源并网消纳的需求侧资源关键技术。  相似文献   
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科技创新人才是结构转型和经济社会高质量发展的重要支撑力量。运用灰色系统GM(1,1)模型,对四川、陕西、上海三省市2017-2021年科技创新人才进行需求预测和比较分析。R语言求解结果表明,三地及高技术产业对科技创新人才的需求数量均呈稳步增长态势,但增速存在区域性差异,新的科技创新人才发展区域性非均衡态势将逐渐形成,区域性人才竞争将进一步加剧。加大科技创新人才培育力度,合理规范人才竞争应成为国家层面的人才政策;加快产业转型升级、优化人才生态环境、提高人才与产业匹配度既是优化人才资源配置效率的关键,也是区域性人才管理工作的重点。  相似文献   
10.
郭年顺 《南方经济》2019,38(12):15-32
主流经济学家把改革开放后民营企业的大规模兴起,主要归因为市场经济条件下发挥企业家精神和遵循比较优势的必然结果。但是这无法解释为什么民营企业在兴起之初就广泛和快速地进入到各个工业,尤其是技术和资本密集型工业。基于中国工业史和252家中国最大民营制造业企业创业发展史的历史证据,文章找回"工业体系"这一被主流所忽略的重大历史现象和学术概念,从而首次提出一种理解中国民营企业发展独特性的结构性解释。文章发现:从计划经济时期继承而来的门类齐全和独立完整的工业体系,是解释民营企业创业和发展独特性的关键变量;已有的由国有企业和科研院所组成的工业体系,从市场机会、技术能力和组织资源等方面塑造了民营企业的创业选择和发展路径。所以,中国民营企业的快速发展不是仅凭自由市场就会自动出现的普遍现象,而是在市场条件下充分利用工业体系提供的技术和市场条件才得以出现的特殊现象。  相似文献   
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