MapInfo在基准地价评估成果图中的应用实践

本文以MapInfo7.5作为GIS的平台软件,将MapInfo用于基准地价评估成果图的信息管理,利用创建、修改或更新的相关表格,建立相应的专题地图,使成果图中的信息更加直观明了。实践证明,MapInfo为基准地价评估成果图的及时更新、科学管理、有效利用提供了可靠的途经。     

中国水果供给结构性变化的实证研究

为分析中国水果供给的结构性变化，本文构造中国水果的供给模型，将1978-2001年24年划分为两个时期，利用Chow检验分别回归后发现我国水果供给的各种弹性均发生了明显的结构性变化，从而得出果农对价格的反应能力和敏感性增强、对农资投入的依赖性增强等重要结论。     

我国价格体系改革趋势初探

本文以我国国民经济系统与河南省经济子系统的同构性为基础,利用河南省1987年投入产出表,计算出诺依曼最优生产强度和与之相应的最优价格,进而对照现行价格,提出了我国价格体系改革走向的基本构想,并对其合理性、可行性进行了初步研究。     

河北省2018年第三季度马铃薯价格走势分析

依据对马铃薯价格的实时监控，以2018年河北省第三季度马铃薯价格为主要研究对象，阐明了2018年河北省马铃薯价格横向水平及纵向变化趋势，并对影响价格的因素进行了数据分析。结果显示：在河北、山东、甘肃3大产区及全国，2018年第三季度河北省马铃薯价格处于最低水平，明显低于全国平均水平，但年同比增幅最大。分析表明：马铃薯库存、气候的变化以及马铃薯收获期是影响第三季度河北省马铃薯价格的主要因素。最后，根据分析结果，提出调整种植结构、适时出售的建议。     

房地产开发企业动态能力的维度结构与实证研究

羊群行为属于行为经济学的一部分，认为市场主体在信息环境不确定的情况下，其行为易受到其他参与主体的影响，模仿他人决策。基于Hwang和Samlton羊群行为测度方法（HS方法）及EGARCH模型，运用2003年1季度至2014年3季度我国30个省市房地产市场销售价格数据，验证我国房地产市场羊群行为的存在性，并分析购房者羊群行为对中国房地产价格波动的影响。结果表明：我国房地产市场羊群行为显著存在，且购房者羊群行为与房地产价格波动呈正相关关系。     

广东省常用香草植物的应用价值及栽培

香草又称芳香植物、芳香药草,是会散发出独特香味的植物。介绍适应广东地区生长及常用香草植物种类,分析其应用价植,阐述香草植物从繁殖到田管理等方面栽培要点。     

基于改进GM(1,N)模型的我国大豆价格影响因素分析及预测研究

大豆是我国重要的粮食作物和油料作物,其价格对于国民经济尤其是农业经济的影响意义深远。大豆价格的稳定对于我国大豆市场的健康发展有着重要的现实意义。在灰色理论的基础上,提出了一种改进GM(1,N)大豆价格预测模型,首先运用灰色关联分析法对我国大豆价格的影响因素进行分析,选择主要的影响因素;再将这些影响因素作为模型的相关因素变量,构建GM(1,N)大豆价格预测模型。采用2010-2015年的大豆数据进行实证研究,模型选取国内大豆自给量、世界大豆产量、国民消费价格指数、消费者信心指数4个变量作为相关因素变量;模型预测误差为2.10%,预测精度较高,能够较好地掌握大豆价格的变化规律,可以为大豆价格市场预测及国家宏观政策的制定提供理论指导。     

西部卫星型小城镇工业用地基准地价测算方法研究——以兰州市皋兰县为例

小城镇工业用地基准地价评估是基准地价工作的难点,尤以西部地区更为典型.通过分析西部卫星型小城镇工业测算中遇到的问题,在利用住宅地价模型测算工业地价的思路指导下,借助级差系数法和比例系数法进行该地区工业地价模型比对.结果表明:当前基准地价测算方法并不完全适应于西部卫星型小城镇的实际情况,在此基础上提出模型调整法,并通过皋...     

The effect of life history events on carcass merit and price of cull dairy cows

Cull dairy cows contribute almost 10% of national beef production in the United States. However, different factors throughout the life of dairy cows affect their weight and overall body condition as well as carcass traits, and consequently affect their market price. Therefore, the objectives of this study were: (1) to assess relationships between price ratio and carcass merit of cull dairy cows sold through several sites of an auction market and (2) to investigate the effect of animal life history events and live weight on sale barn price (BP) and price ratio (as a measure of relative price), as an indicator of carcass merit. Data from 4 dairy operations included 3,602 cull dairy cow records during the period of 2015 to 2019. Life history events data were collected from each dairy operation through Dairy Comp software; live weight and price were obtained periodically from the auction market, and the carcass data were provided by a local packing plant. Cow price in dollars per unit of live weight ($/cwt) and price ratio were the 2 outcome variables used in the analyses. Price ratio was created aiming to remove seasonality effects from BP (BP divided by the national average price for its respective month and year of sale). The association between price ratio and carcass merit traits was investigated using canonical correlation analysis, and the effect of life history events on both BP and price ratio was inferred using a multiple linear regression technique. More than 70% of the cows were culled in the first 3 lactations, with an average live weight of 701.5 kg, carcass weight of 325 kg, and dressing percentage of 46.3%. On average, cull cows were sold at $57.0/cwt during the period considered. The canonical correlation between price ratio and carcass merit traits was 0.76, indicating that price ratio reflected carcass merit of cull cows. Later lactations led to lower BP compared with cows culled during the first 2 lactations. Injury, and leg and feet problems negatively affected BP. Productive variables demonstrated that the greater milk production might lead to lower cow prices. A large variation between farms was also noted. In conclusion, price ratio was a good indicator of carcass merit of cull cows, and life history events significantly affected sale BP and carcass merit of cull cows sold through auction markets.     

新冠肺炎疫情与猪肉价格波动初探

基于2020年3月-2020年10月猪肉价格及新冠肺炎疫情指数,借助VAR模型,定量研究新冠肺炎疫情对于猪肉价格的影响。研究结果表明:新冠肺炎疫情对猪肉价格存在影响,促使猪肉价格上涨,在此基础上文章提出相应措施。