利用信道状态信息的室内定位技术

多径效应导致基于信号接收强度（RSSI）的室内定位方法精度不高，采用更细粒度的物理层信道状态信息（CSI）可以区分不同路径，提高定位精度。在已有基于CSI室内定位方法的基础上，通过改进对数距离路径损耗模型，得到CSI与传输距离的关系，并结合目标位置所测得的CSI值回归出目标与发射端的距离，最后通过三边定位法预测出目标的位置坐标。实验表明，相比基于RSSI的定位方法以及已有的基于CSI的定位方法，所提方法2 m以内的误差概率提高了将近40%和20%，有效提高了定位精度。     

Analysis of the effect of charging infrastructure design on electric taxi driving profiles: A case study approach on the example of Singapore

Replacing conventional vehicle taxis with electric vehicles would be an efficient measure to reduce greenhouse gas emissions. Due to the limited range and long charging times of current battery electric vehicles, it is of utmost importance to provide sufficient charging facilities. This article analyses the impact of the placement and charging power of charging stations on potential mileage and revenue of electric taxis on the example of Singapore. Therefore, we developed an agent-based electric taxi simulation model to investigate electric taxis’ driving profiles with respect to different vehicle types and charging infrastructure designs. This model is also capable of simulating conventional taxi driving profiles. The validation of these simulation results with real taxi data showed that the model is reproducing taxi driving profiles with high accuracy in great detail. We found out that electric taxis could reach the same mileage and revenue as conventional taxis if charging with a power of 160?kW is possible. Furthermore, we discovered that waiting times for available charging stations have a stronger effect on revenue than the length of detours to reach charging stations. Based on these findings, we concluded that it is more important to reduce waiting times by placing sufficient numbers of charging stations at each location before expanding the charging network by installing small numbers of charging stations at many locations.     

制度差异、“一带一路”倡议与中国大型对外投资——基于投资边际、模式与成败的三重视角

本文基于2005—2016年中国609个企业2 440个大型对外投资微观样本，全面考察正式与非正式制度差异对企业投资边际、模式与成败的影响。研究发现：正式制度差异对投资规模化的影响不大，但显著影响投资多元化。企业为了避免正式制度差异带来的管理风险，倾向于选择全资股权结构，但企业选择绿地投资还是跨国并购并不受到正式制度差异的影响。相比之下，非正式制度差异的影响更为广泛。无论是正式制度差异还是非正式制度差异，均会显著增加企业投资的失败概率。进一步研究发现，“一带一路”倡议主要对正式制度差异存在优化互补效应。研究结论表明，夯实“一带一路”倡议，尤其大力发展与沿线国家的文化深度交流，有助于企业更快、更好地走出去。     

内外融资对企业不同阶段创新投资的异质性效应——基于中国制造业上市公司的数据

根据创新价值链理论，将企业创新活动分为研究阶段（R）与开发阶段（D），探究内外源融资方式对企业不同创新阶段投资的异质性效应，为企业选择创新活动的融资渠道和政府设计精准支持企业创新政策提供参考。基于中国制造业上市公司数据实证研究发现：内源融资对企业研究投资有显著促进效应，对开发投资未产生显著促进作用；债权融资对研究投资和开发投资的作用均不显著；股权融资对研究投资的影响不显著，但对开发投资具有显著影响。内源融资对债权融资与研究投资、债权融资与开发投资的关系不具有调节效应；内源融资对股权融资与研究投资关系具有正向显著调节效应，对股权融资与开发投资的关系具有正向调整作用但不显著。     

中国柑橘主产区的区域比较优势及其影响因素研究*——基于省级面板数据的实证分析

[目的]通过研究我国柑橘主产区的区域比较优势及其影响因素,为我国柑橘产业的发展提供科学依据。[方法]利用2005—2015年全国柑橘产业的相关数据,采用综合比较优势指数模型和资源禀赋系数模型,定量测算了2005—2015年我国柑橘主产区的区域比较优势指数及资源禀赋系数,结合动静态面板数据模型实证分析了柑橘主产区区域比较优势的影响因素。[结果](1)我国柑橘各主产区比较优势明显但差异较大,柑橘产业有从东南沿海地区向中西部转移的强劲趋势;(2)我国柑橘生产的资源禀赋优势较为集中且在不断的发生变化,福建、浙江、四川及湖南4省处于下降趋势,其他主产区均有所上升;(3)资源禀赋、资本投入对柑橘区域比较优势有正向的影响,技术创新的正向影响在动态中显现,经济水平对区域比较优势有负向影响。[结论](1)我国柑橘主产区的区域比较优势受到资源禀赋、资本投入、技术创新、经济水平等因素的综合影响;(2)要根据各主产区的现状条件进一步优化柑橘产业区域布局,提高科技含量,并且要结合当地的经济发展情况以及资源禀赋条件使柑橘产业能够在主产区脱贫和乡村振兴中发挥更大作用;(3)南方沿海地区柑橘产业近年受黄农病影响严重,柑橘产业向中西部转移。     

基于耦合共生理论的田园综合体规划模式建构

[目的]随着城乡统筹发展,乡村振兴战略的实施已成为解决"三农"问题的关键。2017年中央一号文件在乡村的大背景下,首次提出了"田园综合体"的概念,旨在通过实现农业与其他产业的共生融合,来带动乡村的发展及振兴、农业的转型升级、农民生活质量的提高。通过构建多产业耦合共生的田园综合体规划模式,以期更好地实现农业转型升级以及乡村的发展振兴。[方法]引入物理学中的耦合理论以及生物学中的共生理论进行研究。[结果]从耦合共生单元、耦合共生环境、耦合共生界面三个方面提出集农旅合一、多产业联合、多方参与为一体的田园综合体模式规划理念框架。[结论]以农旅合一的耦合共生单元为基础,将文化作为农业与旅游耦合共生的介质,有助于实现文化内涵的提升以及农业与旅游的协同发展;以多产业联动的耦合共生环境为推手进行合理布局,使多产业联动发展,有助于实现资源的整合利用、农业产业附加值的增加、村落结构的完善、农村特色及文化的传承;以多方共同参与的耦合共生介质为保障,通过政府、市场和公众这三方的共同参与和合作,有助于解决三农问题,带动农村经济的发展,促进乡村统筹发展及乡村振兴战略的实施。     

土地整治对中国粮食产出稳定性的贡献

研究目的:研究土地整治对粮食产出稳定性的贡献,为制定合理高效的土地整治政策,促进粮食增产稳产提供依据。研究方法:采用H-P滤波法实证分析中国粮食产量的波动性及增长趋势,然后基于C-D生产函数,分别建立趋势产量和波动强度面板回归模型,分析土地整治对粮食产出稳定性的影响。研究结果:(1)粮食作物播种面积、农业机械总动力、农用化肥施用量均对粮食长期趋势产生不同程度促进作用;农业劳动力对主产区粮食长期趋势影响显著为负,对非主产区却有正向影响。(2)土地整治面积和单位面积投资额均降低了全国及主产区粮食产量的波动程度,土地整治规模在全国和主产区的影响系数分别为-1.4162和-2.2215;单位土地整治面积投资额在全国和主产区的影响系数分别为-0.7589和-1.3509。(3)土地整治新增耕地面积对全国和主产区的粮食产量波动强度影响为正,影响系数分别为0.8018和1.3931。可能是通过土地整治新增的耕地质量较低,产出不高,导致了粮食产量波动。土地整治投入在非主产区均表现为不显著。研究结论:应继续推进尤其是主产区的土地整治项目实施,加大土地整治投资强度,建立长期稳定的投入机制,合理使用整治资金,注重提高新增耕地质量和综合生产能力,同时将土地整治投入和管理机制与农业生产系统运行机制、自然因素等有效结合,并制定差别化区域政策,以保障粮食增产稳产和区域协调发展。     

Drivers and barriers to cross-border e-commerce: Evidence from Spanish individual behavior

This paper explores the determinants of the individual's decision to perform cross-border e-commerce (CBeC). The European Union (EU) is especially interested in the promotion of CBeC because it is an important tool in its strategy to achieve the Digital Single Market in Europe. In this paper official data is used from a representative survey of 16,209 individuals on ICT usage by households and individuals that was carried out in Spain by the National Institute of Statistics (INE) for the year 2016. Using a standard neoclassical utility maximization framework, and logistic regression techniques, the results show that being a male is positively related to the probability of practicing CBeC. Education is positively and significantly related to the probability of being involved in CBeC with EU countries. Computer and Internet Skills are significant and positive factors in explaining CBeC (either with EU countries or with the rest of the world). The variable “how often the consumer sees other customer reviews before buying online”, has a positive effect. Foreign nationality also increases the likelihood of using CBeC. To promote CBeC in Spain measures towards developing digital skills, Internet trust and use of online information reviews of goods and services are discussed.     

A hybrid information approach to predict corporate credit risk

This study proposes a hybrid information approach to predict corporate credit risk. In contrast to the previous literature that debates which credit risk model is the best, we pool information from a diverse set of structural and reduced‐form models to produce a model combination based on credit risk prediction. Compared with each single model, the pooled strategies yield consistently lower average risk prediction errors over time. We also find that while the reduced‐form models contribute more in the pooled strategies for speculative‐grade names and longer maturities, the structural models have higher weights for shorter maturities and investment grade names.     

Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.