基于Excel VBA的税票套打系统实现

"税票套打系统"是集申报国税、套打税票为一体的一个应用系统,其中充分利用了Microsoft Excel灵活的制表功能及VBA编程技术。该系统解决了会计公司代理记帐业务中填写税票工作的效率低、错误率高的问题,同时与手写税票相比,套打的税票字迹清晰、工整,从而间接地为接收税票的单位如银行及税务局的工作人员提供了便利。     

一个实用的地税税票对账管理系统的设计与实现

<正>随着社会、科技的进步,地税信息资源不断膨胀。如何更快地了解、处理、掌握税票信息已经成了地税信息服务工作的主要方面。在这种情况下,人们对作为信息存贮、查询和管理有了更高的要求。因此,使地税局内实现税票管理自动化、信息化,开发地税税票管理信息系统便具有了现实意义。鉴于目前还有相当多的单位的税票管理还是处于企业申报、回单入库那种简单的模式,结合作者长期的对税票管理的查询和研究,根据当前管理中存在的一些具体问题,如:税票信息多而繁琐,如何快速地实现企业申报和实际交款的对账统计;税票信息查询、统计不方便;企业欠税、漏税的统计等实际情况,开发了一套实用的地税税票信息管理系     

基于Delphi的柔性套打构件的设计与实现

针对目前报表套打软件存在的问题，设计和实现了具有面向高级用户和开发人员的柔性的套打构件。实现了MIS中套打部分的核心功能，集成方便。通过集成该构件，MIS可为用户提供套打格式设计、输入界面设计、数据处理、打印位置调整和报表套打等功能。目前该构件已成功运用于笔者开发的系统中，效果较好。     

正确的决策与税票打即机产业的形成──谈广东天翔科技产业股份有限公司如何为金税工程作贡献

介绍天翔公司在通用针型打印机市场竞争剧烈的情况下，通过对打印机生产厂家、市场、产品发展方向的调查，利用自身针打机开发和生产的优势，确定重点发展专用打印机的方针。在这一方针的指导下，成功地开发了ＴＸ─—９８０税票打印机，并形成规模生产。     

基于Delphi的柔性套打构件的设计与实现

解决目前报表套打软件中存在的问题,以柔性软件思想为指导,设计和实现了具有面向高级用户和开发人员的柔性套打构件,实现了MIS中套打部分的核心功能,集成方便.通过集成该构件,MIS可为用户提供套打格式设计、输入界面设计、数据处理、打印位置调整和报表套打等功能.该构件功运,效果较好.     

TX─980税票打印机的监控程序

围绕税票打印机的特点，着重介绍了该机监控程序的流程及编程中应注意的几个问题。     

一种Word和Excel结合制作打印模板实现批量套打的方法

通过在Word中插入背景图片、图文框和使用邮件合并功能、实现Excel表中数据在Word打印模板中的自动替换和精确套打。本文以我校百年校庆中捐赠证书的批量套打为例介绍批量套打模板的制作方法和实现步骤。     

基于Delphi的精确定位套打设计与实现

基于文本的套打方式以字符为计量单位,定位精度不高;而基于打印控制码的方式面向打印设备,编码繁琐且兼容差.Canvas提供了一个独立于设备的绘制图形对象的画布,通过将文本信息转化为图形对象输出,可实现更为精确的套打且兼容性强.描述了Delphi的普通文本和打印机控制码套打定位方式,引出了基于Canvas的精确套打程序设计与实现的原理、方法,并就实现的主要技术和相关API函数调用进行了分析.     

用Word窗体实现拟稿封面套打

本文以实现拟稿封面套打为例简述了Word2003的窗体及窗体域在日常办公中的应用。     

嵌入式系统中套打模型的研究

给出了嵌入式系统中经常遇到的由单据或表格的实际尺寸创建套打(即在已经印刷好的单据或者表格的指定位置打印规定的字符)的正文模型的方法，并给出了相应的C语言描述．在解决′＼0′的二义性基础上，给出了套打的存储模型和相应的C语言描述．在考愿了打印页的尺寸(规格)、以及回车换行基本控制要求的基础上，纷出了套打打印模型以及针对EPSON 300K的C语言描述．并且用C 实现通用套打模型的动态链接库．     

基于多特征融合的票据分类技术及应用

对票据进行高速、准确的分类是实现票据自动处理的关键。论文分析了各种票据分类方法的优缺点,并根据金融、税务等行业所使用的票据特点,提出基于多特征融合的快速分类方法,可以将票据的几何尺寸、分类条码、标题、特征字符串、特征图像块、特征框线等特征有机地融合并进行分类,提高了票据分类的速度与准确性。利用该技术设计的银行票据处理系统的实际应用说明了该方法的有效性。     

Tax payment default prediction using genetic algorithm-based variable selection

According to the statistics from the Finnish tax authorities, about 12% of all active firms in Finland had unpaid taxes at the end of year 2015. In monetary terms, this translates to over 3 billion euros in unpaid taxes. This is a highly significant amount as the total amount of taxes collected during 2015 was 49 billion euros. Considering the economic significance of the unpaid taxes, relatively little research has been done on identifying tax defaulting firms. The objective of this study is to develop a genetic algorithm-based decision support tool for predicting tax payment defaults. More closely, a genetic algorithm is used for determining an optimal or near optimal subset of variables for a linear discriminant analysis (LDA) model that classifies the examined firms as either defaulting or non-defaulting. The tool also provides information about the importance of various variables in predicting a tax default. The dataset consists of Finnish limited liability firms that have defaulted on employer contribution taxes or on value added taxes and the total number of available variables is 72. The results show that variables measuring solvency, liquidity and payment period of trade payables are important variables in predicting tax defaults. The best performing model comprises three non-linearly transformed variables and has a predictive accuracy of 73.8%.     

A tax consumption regulator in an open economic system

We consider a mathematical model for an open economic system including a tax regulator that collects taxes in order to control consumption flows. We show that increasing the tax rate above a certain threshold value leads to growing social disparity.     

Input–Output Map of Uncertainty of the Economy of Ukraine and its Application

The methodology for calculating the inter-industry map of uncertainty of the Ukrainian economy and the results of the calculations are considered. A historical assessment of a fragment of fiscal risks associated with tax revenue from taxes on products and other production taxes is carried out. The sectors of Ukraine’s economy are classified through the prism of the uncertainty map. It is proposed to use the production portfolio of economic activities as a tool to mitigate fiscal risks.

     

Do-it-yourself services and work-like chores: on civic duties and digital public services

Doing civic duties is neither paid work nor leisure: it is a private, work-like activity. Digital services enrol customers in doing work tasks. Also digital public services delegate work to citizens, but there are important differences between automation for citizens doing their civic duties and services that customers choose to use. In this paper, we discuss how digitally automated services remove some tasks but also introduce new work tasks for citizens and how citizens handle these. We present a study of citizens’ calls to a public service provider (the tax authorities) requesting help carrying out their civic duties. The analysis of citizens’ problems with doing their taxes is a basis for suggesting an alternative design of digital tax services that can increase citizens’ mastery and autonomy when doing their taxes. We suggest an approach for designing coherent tasks for the citizen, and how doing one’s civic duties can be seen as work—and as a part of life. We argue that designing for automated public services need to apply a citizen-centric perspective in order to maintain a basis for citizens to participate in democratic processes in society.     

国税IC卡农业银行代收税应用系统

介绍国税ＩＣ卡农业银行代收税应用系统的业务流程、系统结构、特点及其发挥的作用。     

房产税和土地使用税征管系统设计与实现

为加强房产税和城镇土地使用税税收征管,实现以信息化为依托的税源动态监控管理,采用微软ASP.NET技术构建房产土地税收征管系统。基于征管工作的实际需求,从技术性、实用性角度阐述征管系统建设的必要性和总体设计思路,并着重阐述系统的功能需求分析和系统设计。系统应用对提高地方税务机关整体税收管理水平具有极大的促进作用。     

基于嵌入式因特网的纸币识别系统

作为纸币交易实现自动化的关键设备,纸币识别器不仅承担着最基本的纸币识别和接收功能,而且必须适应网络化管理的需要增加相应的功能。文中介绍了嵌入式因特网技术的发展以及在纸币识别系统中的应用,阐述了在嵌入式系统中实现因特网协议的方法。系统通过采用uclinux嵌入式操作系统,并以Samsung公司的S3C4510b微处理器为核心,结合嵌入式因特网技术,来实现纸币识别器网络升级和网络支付功能。针对联网交易应用系统对传统纸币器提出的新要求,引入嵌入式技术重新设计了纸币识别器,使之具备直接和间接联网的能力,不仅解决了网络化的问题,而且兼容传统的通信方式,在功能上还有很好的可扩展性。     

Pollution Control with Time-Varying Model Mistrust of the Stock Dynamics

I develop a framework to analyze the robust emissions tax policy for a stock pollutant when the environmental authority is not fully confident about its estimated model of pollution dynamics and, in contrast to previous research, the degree of model mistrust may change over time. I characterize the effect of time-varying model mistrust on emission taxes, pollution stocks and welfare. The general results of this paper show that introducing the possibility of a time-varying degree of model mistrust produces different emission taxes, abatement and welfare compared to the traditional assumption of a time-fixed model mistrust. This result holds even if the probability that the model mistrust may change in the future is small. If the environmental authority expects that the model uncertainty may decrease in the future then current emissions taxes should also decrease. Conversely, if the model mistrust may increase in the future then an active approach compatible with the Precautionary Principle is optimal and current emissions taxes should also increase.