GSM短消息业务在水情自动测报系统中的应用

分析了目前水情自动测报系统的几种通信方式的特点以及GSM提供的几种业务，进而提出利用GSM短消息业务来实现遥测站与中心站之间的数据传输的方案，设计了系统的结构，并指出了利用GSM短消息业务传输数据的优势。     

Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming

This paper employs a dynamic Data Envelopment Analysis (DEA) model to measure the composition of productivity growth of pesticides and the environmental impacts of pesticides. The application focuses on panel data of Dutch arable farms over the period 2003–07. A bootstrap regression model is used to explain farmers' performance, providing empirical evidence of the impact of producer‐specific characteristics and environmental factors. The results show that Dutch arable farms have substantial inefficiency in the use of pesticides and high pesticide environmental inefficiency, and appear rather unconcerned about the environmental impacts of their current pesticide use decisions on next period's production environment.     

The impact of the 2008 financial crisis on dynamic productivity growth of the Spanish food manufacturing industry. An impulse response analysis

The emergence of a financial crisis is an event that can impact the fortunes of nearly all economic agents. The focus here is on the 2008 financial crisis and how firms’ productivity growth was impacted by this crisis in the years that followed. This article focuses on dynamic productivity growth and its components using a firm‐level data set of Spanish meat processing, dairy processing, and oils and fats firms. The impulse response analysis shows that the impact of the crisis on dynamic productivity growth is negative and persistent in the oils and fats industry, initially positive but then negative in the meat processing industry, and positive in the dairy processing industry. The observed magnitudes of change in indicator are between 2% and 5% for oils and fats industries, and of 1% in both dairy and meat industries. Our analysis further confirms that firms’ size is an important factor in explaining how crisis impacts dynamic productivity growth and its components, while we find only slight evidence regarding the firms’ experience in the market.     

Personal privacy and Internet marketing: An impossible conflict or a marriage made in heaven?

With the decline of print media and network television, marketing strategy is changing. As these advertising vehicles are slowing down and more individuals turn to the Internet for daily functioning, marketers are following in kind. Technology offers businesses and marketing specialists the ability to collect immense amounts of private data about individuals’ interests or characteristics as they surf the Internet and input personal information. Data collection falls into one of two categories: a user's voluntary sharing of such information, or involuntary/uninformed collection by other parties. The threat posed by invasion of personal privacy is real. At the same time, Internet users can benefit in several ways from the sharing and collection of personal information. For example, much online content is funded by advertising, and would otherwise only be available to consumers for a fee. Additionally, valuable information regarding trends and happenings (e.g., flu outbreaks) are detected by aggregated Internet tracking. Finally, many Internet users value and enjoy targeted advertising geared to their particular interests or needs. Laws regarding this matter are currently limited, but are developing in order to protect individuals from unscrupulous data collection, especially involving children. Fortunately, there are ways marketers can legally and ethically collect and use personal information. Ultimately, regulation needs to be developed, and the marketing profession can aid itself by expanding self-regulation and policing in order to stave off additional—and potentially onerous—regulation.     

Regional and Categorical Patterns in Consumer Behavior: Revealing Trends

We offer a method of analysis that allows for an “unbundling” of the data to a disaggregate household level, and then “rebundling” it in a manner designed to identify patterns and relationships which are otherwise masked. Applying the method in the context of ‘healthy’ products and using census block group level data, we study consumption over several categories in two locations. The analyses show that studies involving geographically dispersed data must test for, and take into account when required, conceptually sound spatial effects in order to accurately assess impact. We also show that while both location and the product category have a significant impact on the proportion of healthy products purchased, the degree to which consumers choose healthier alternatives is a function of the category as well as the location. Finally, we provide preliminary evidence from survey data that supports the variations we find, and further explores attitudinal differences as well. There are rich implications for retailers in that new products introduced to benefit from popular trends (such as ‘healthy’ alternatives) may not succeed for all categories or locations. Retailers would benefit from understanding the spatial, demographic and attitudinal effects that play into consumption behavior, and such effects can be better understood when studying choice at the category and region level. Finally, public policies aimed at promoting healthier purchasing habits may have greater impact if special attention is given to specific categories and regions.     

Collecting samples from online services: How to use screeners to improve data quality

Increasingly, marketing and consumer researchers rely on online data collection services. While actively-managed data collection services directly assist with the sampling process, minimally-managed data collection services, such as Amazon’s Mechanical Turk (MTurk), leave researchers solely responsible for recruiting, screening, cleaning, and evaluating responses. The research reported here proposes a 2 × 2 framework based on sampling goal and methodology for screening and evaluating the quality of online samples. By sampling goals, screeners can be categorized as selection, which involves matching the sample with the targeted population; or as accuracy, which involves ensuring that participants are appropriately attentive. By methodology, screeners can be categorized as direct, which screens individual responses; and as statistical, which provides quantitative signals of low quality. Multiple screeners for each of the four categories are compared across three MTurk samples, two actively-managed data collection samples (Qualtrics and Dynata), and a student sample. The results suggest the need for screening in every online sample, particularly for the MTurk samples, with the fewest supplier-provided filters. Recommendations are provided for researchers and journal reviewers that provide greater transparency with respect to sample practices.     

The extent of resource use inefficiencies in cotton production in Pakistan's Punjab: an application of Data Envelopment Analysis

This paper attempts to identify sources of resource use inefficiency for cotton production in Pakistan's Punjab. The use of a non‐parametric method, Data Envelopment Analysis (DEA), is developed to study the relative technical and allocative efficiencies of individual farms which use similar inputs, produce the same product and operate under comparable circumstances. In the ‘cotton‐wheat’ system of Pakistan, there are a considerable number of farms that are both technically and allocatively inefficient. The use of DEA shows that the technique provides a clear identification of both the extent and the sources of technical and allocative inefficiencies in cotton production. However, both the interpretation of the farm level results generated and the projection of these results to a higher level require care, given the technical nature of the agricultural production processes.     

关于预期违约制度的比较分析

预期违约制度来源于英美法，它是英美法重视实务和实证思维在具体法律规则上的体现，《联合国国际货物销售合同公约》对此加以吸收，但同时也与之有一定的差异，反映了国际商事法律是国际政治、经济、法律等因素相互密切交流并产生制衡状态之后的结果。     

精密相位检测系统的信号数据处理

本文介绍了精密相位检测系统的信号和数据处理工作原理，并对该系统的硬件、软件原理和系统工作流程均作了阐述。单片微机用于相位检测系统中，大大提高了检测精度，同时提高了仪器的智能化程度。     

基于数据包络分析方法的安徽省地区间工业发展差异的实证研究

运用数据包络分析（DEA）方法,对安徽省17个城市三类不同的工业企业进行分析发现,15个城市存在不同程度的非DEA有效,没有一个城市已经达到规模递增的状态。导致其非DEA有效的主要原因在于规模过小,技术效率低下。针对这种状况,提出扩大已有工业企业的规模、加大招商引资工作的力度、发挥各市工业的比较优势等政策建议。