浅谈我国化学工业园区的筹建和开发

通过参与化学工业区开发，对化工园区筹建和开发，包括化工园区的选址、定位及开发过程的一些实际操作提出了建议。     

基于神经网络系统的项目投资风险评价探讨

与传统的评价方法不同，神经网络模型具有自学习、自组织、自适应能力等的特点，它较好的克服了传统项目评价局限性以及依赖专家经验的弊端，为项目投资风险评价开辟了新途径。论文阐述了神经网络结构与原理，分析了项目投资风险评价的神经网络模型，通过应用评价，进一步探讨其应用价值及其意义。     

基于企业基因重组理论的价值网络构建研究

全球化、信息化带来市场交易成本的急剧下降，并直接导致组织创造价值的方式发生了变化。本文借鉴企业基因和企业基因组的概念，对企业基因重组理论进行了系统地完善和整合。依此理论为基础，本文对能力要素驱动型价值网络的形成、特征和构建策略进行了深入地分析。     

Managing and financing metropolitan public services in China: experience of the Pearl River Delta region

Under China’s current fiscal policies and inter-governmental relations, it is a significant challenge to finance and deliver public services across jurisdictions. This challenge was met in the Pearl River Delta region in southern China with a collaborative governance approach. Directives from higher-level governments and horizontal inter-city fiscal arrangements were successfully combined to deliver public services. Effective networks should be developed to improve co-ordination and collaboration in delivering cross-jurisdictional public services.     

Learning minimum variance discrete hedging directly from the market

Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.     

On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks

Daily and weekly seasonalities are always taken into account in day-ahead electricity price forecasting, but the long-term seasonal component has long been believed to add unnecessary complexity, and hence, most studies have ignored it. The recent introduction of the Seasonal Component AutoRegressive (SCAR) modeling framework has changed this viewpoint. However, this framework is based on linear models estimated using ordinary least squares. This paper shows that considering non-linear autoregressive (NARX) neural network-type models with the same inputs as the corresponding SCAR-type models can lead to yet better performances. While individual Seasonal Component Artificial Neural Network (SCANN) models are generally worse than the corresponding SCAR-type structures, we provide empirical evidence that committee machines of SCANN networks can outperform the latter significantly.     

长江经济带中三角地区农业结构的分析与优化对策

[目的]从宏观、中观和微观3个层面深入分析长江经济带中三角地区湖北、湖南和江西3省的农业产业结构及其各产业差异性和相对优势及其竞争力。[方法]在宏观层面运用了传统的基尼系数分析3个省份历史发展上的地区经济水平差异,判断3个地区经济发展是否存在虹吸效应;从中观层面运用区位熵指数分析法分析区域农业产业结构,从农畜林渔等方面判断各区域产业专业化水平程度;从微观层面运用偏离—份额分析法(SSM)分离出3个地区的各部门产业的优势及其竞争力。[结果]区域内的经济差异变化呈不断增大的趋势,基尼系数不断扩大;湖北的种植业、渔业和农林牧渔服务业,湖南的种植业、林业、畜牧业和农林牧渔服务业,江西的林业、渔业都较中三角地区对应的子产业的区位熵指数高;江西木材和竹加工业和烟草业具有较大的产业竞争优势,湖北的茶叶、水产和瓜果疏菜产业优势明显,湖南地区农业产业综合优势主要在于烟草、水果、肉类以及木材和竹类加工业。[结论]通过比较地区农业产业竞争优势,提出发展地区产业特色,合理布局全域农业产业,提高农产品附加收益,稳固对结构优化的资金支持等对策建议。     

中国海外耕地投资的区位特征及其影响因素*——基于2000—2016年土地矩阵网络数据

［目的］分析中国海外耕地投资的区位特征及其影响因素,以促进我国海外耕地投资的合理布局,提高农业投资效率。［方法］以2000—2016年中国137宗海外耕地投资项目及其所涉及的35个东道国作为研究样本,运用Spearman相关分析方法,分别以耕地投资面积和耕地投资项目数量作因变量,研究其与各影响因素的相关关系,并用对应分析法进一步探究各东道国的相对优势。［结果］（1）我国海外耕地投资区域集中在东南亚且由周边国家向外扩展,被投资耕地用途多样,投资规模自2004年开始急剧上升,近年来呈下降趋势。（2）我国海外耕地投资以效率寻求型和市场寻求型为主,倾向于资源丰富、与我国距离较近、制度相似、经济关系良好但发展水平不高的国家。（3）根据各地区的比较优势,亚洲国家适合效率寻求型和市场寻求型的企业投资,欧洲和美洲国家适合资源寻求型和战略资产寻求型的企业投资,非洲国家适合资源寻求型、效率寻求型和市场寻求型的企业投资。［结论］中国农业企业应结合企业投资目标和各地区的比较优势,合理选择投资区位,适时转变投资策略与模式,积极防范海外耕地投资过程中的自然风险、政治环境风险和道德风险等,以提高投资效果。     

移民搬迁农户收入来源的区位差异研究

移民搬迁的迁入区条件有较大差异,致使移民户收入差距拉大。以宁夏为例,采用典型调查法选取"十二五"期间移民搬迁的若干具有代表性移民安置点,设计出反映地理位置、自然环境、经济条件等方面的指标进行Q型聚类分析,将不同安置点划分为4类,比较各类特点以及农户生计特点;对分布在四类安置点的农户进行抽样调查,用描述统计方法比较家庭收入的均值和标准差,反映不同迁入区移民户收入来源及其差异,并对差异原因分析。研究结果表明:(1)移民农户收入与地域有直接关系,各类地区由于自然条件、资源禀赋以及政策扶持差异而导致移民收入有较大差距。移民区公共投入建设的力度、政府组织培训、劳务输出对移民收入及来源有很大影响;各地的经济基础也直接影响到移民的收入水平;移民户个人因素也不容忽视。(2)移民区后期建设应区别对待,因地制宜,改善条件,加大资源条件差的安置区的基础建设投入力度;加强产业培育,引导致富;通过各种形式组织农民培训;重视移民区社会管理,健全管理体系,建设和谐新村。     

基于电子商务平台的农产品营销模式研究——以重庆为例

随着互联网普及程度越来越高,农产品电子商务作为一种新型营销方式在现代营销中具有重要的作用。文章首先对电子商务相关概念和基础理论进行概述,明确了电子商务的重要性。其次在对重庆市农产品电子商务营销现状及问题分析的基础上,对目前重庆市现有的3种电子商务营销模式,即为电子市场交易模式、网络中介模式、网络虚拟社区模式进行深入分析。最后,从建立健全农产品电子商务相关法律和制度、大力培养农产品电子商务专业人才、开展多种形式的农产品电子营销模式,实施农牧产品与农商旅联动营销战略等几方面提出促进重庆市电子商务发展的策略。