区域地质调查工作中岩矿鉴定的有关问题探讨及建议

岩矿鉴定在地质调查研究中具有不可取代的重要作用,其工作水平和成果质量对区调工作的质量影响很大.近十多年来,区调岩矿薄片鉴定工作呈现薄弱化趋势.通过论述区调工作中岩矿薄片鉴定的重要作用;系统总结了我国区调岩矿薄片鉴定的4个发展历史阶段;分析了近年来我国区调岩矿薄片鉴定工作中存在的主要问题及其原因;提出了加强区调项目中岩矿鉴定工作、提升区调工作质量的对策和建议.     

义乌市外商投资生活满意度调查分析

采用问卷调查法对浙江义乌外商投资生活满意度的调查结果显示:外商对义乌的投资环境、生活服务、人文教育和政府政策这四方面的满意度依次降低。而外商最期望改进的是就医环境,加快提升医疗服务水平;其次是希望加快完善义乌的金融服务,为外商的投资创造便利的金融条件;在政府政策方面,外商希望义务当地能提供较多的法律服务和相对完善的公司注册信息。此外,在母语咨询平台的设立、孩子教育环境的改善等人文教育方面也有较高需求。义乌市应加快改善外商投资生活环境中所存在的问题,进一步提高外商的投资生活环境水平。     

我国企业对社会责任信息披露的认识和实践

文章采用问卷调查的方法分析我国企业对社会责任信息披露的认识和实践,发现目前社会责任信息披露作为一种理念已经获得企业高度认同,但实践方面却远远落后。企业对于社会责任信息披露的经济后果认识较为一致,但是对披露方式和披露内容态度很不一致。据此,提出了改善我国企业社会责任信息披露的建议。     

西北干旱区内陆盆地地下水资源及其勘查方向

水是制约西北干旱区社会经济发展的瓶颈因素。从分析西北内陆盆地水文地质条件入手,利用国土资源大调查项目的最新资料,系统地评价各盆地地下水的补给资源,允许开采资源,总水资源和可利用水资源的数量及地下水资源的开发利用潜力。同时,阐述了加强地下水资源管理的必要性,并以含水层系统理论为指导思想,分盆地论述了未来地下水资源的勘查方向。研究得出,西北干旱区内陆盆地地下水资源丰富,开发利用程度平均只有23．9％,尚具有较大的开采潜力。未来地下水的勘查方向是深层水和沙漠水。     

基于GIS数字地质图在矿产资源评价中的应用

在地质矿产资源评价中,地质图既是重要数据源,又是主要成果的表达形式。从测绘角度讨论了基于GIS数字地质图在矿产资源评价中的作用,以及利用数字地质图进行地质矿产资源评价的方法和途径。     

社会管理格局中的“幸福联盟”——基于对苏州市沧浪区“邻里情”幸福联盟的调查

苏州市沧浪区幸福联盟是社区管理体制改革在社会主义市场经济和民主政治发展的新条件下的一项重要创新。这一创新既满足了政府对政治稳定的客观要求,又满足了居民安居乐业的需要。本文对目前沧浪区“幸福联盟”运转现状和问题的相关资料进行了初步的整理、思考与研究,并提出了进一步改进“幸福联盟”工作的意见和建议。     

Employer-provided training,innovation and skills in post-Soviet countries

This paper analyzes the extent of employer-provided training in Armenia, Azerbaijan, Georgia and Ukraine and investigates its relationship with innovation, having international business contacts, use of computers at work, reported skills shortages and other firm characteristics. It contributes to the literature by examining different types of training – initial on-the-job learning, more formal in-house training and external training, which is provided by firms to two categories of workers – white- and blue-collar workers. After controlling for a range of firm characteristics, we find a positive link between technological innovation and intensity of training of all types provided to white-collar workers that points to the technology-skills complementarity. Furthermore, the level of computer use at work is a significant determinant of the incidence and intensity of external training provided to white-collar and blue-collar workers.     

Economic forecasting with evolved confidence indicators

We present a machine-learning method for sentiment indicators construction that allows an automated variable selection procedure. By means of genetic programming, we generate country-specific business and consumer confidence indicators for thirteen European economies. The algorithm finds non-linear combinations of qualitative survey expectations that yield estimates of the expected rate of economic growth. Firms’ production expectations and consumers’ expectations to spend on home improvements are the most frequently selected variables – both lagged and contemporaneous. To assess the performance of the proposed approach, we have designed an out-of-sample iterative predictive experiment. We found that forecasts generated with the evolved indicators outperform those obtained with time series models. These results show the potential of the methodology as a predictive tool. Furthermore, the proposed indicators are easy to implement and help to monitor the evolution of the economy, both from demand and supply sides.     

基于调查数据的交通运输行业增加值测算方法思考——以公路货运行业为例

增加值是反映经营活动成果和计算国民生产总值的主要指标。测算交通运输行业增加值,可以反映交通运输行业的投入、产出和经济效益情况,为改善交通运输企业生产经营提供依据。文中依托交通运输部组织开展的专项调查资料,结合国家统计局提供的增加值测算方法,以公路货运行业为例,对交通运输行业的增加值测算方法进行了思考。针对不同的调查内容,给出了两种公路货运行业的增加值测算方法,并对两种方法的优缺点进行了对比说明。     

Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?

In the early 1980s, disease susceptibility in short-season lentil landraces began to limit productivity in areas where relay cropping took place in Bangladesh. Since then, several improved high-yielding lentil varieties, which are resistant to rust and blight and suitable in the relay cropping system, have been released jointly by national and international research centers. This study used three methods, namely a panel of experts, a survey of 1000 households where the respondents named the variety they used, and DNA fingerprinting of seed samples collected from all lentil plots cultivated by survey households to estimate adoption. Double hurdle and instrumental variables regression methods were applied to the household survey and DNA fingerprinting data to identify determinants of adoption and measure their impacts. Of particular interest was whether estimates of adoption, determinants of adoption and impacts varied by method of variety identification. Results showed that the expert panel overestimated the adoption of more recent varieties while about 89% of the farmer-reported varieties were accurate, as verified by DNA fingerprinting. DNA fingerprinting appears to have little advantage for estimating the level of adoption in this case, where few varieties of lentils are found, local variety names do not exist, and most seed is obtained through a formal system. However, even under these conditions, determinants of adoption vary by identification method, and use of farmer-reported information on the variety can lead to erroneous conclusions about determinants of adoption. Because recent breeding efforts have focused on taste and cooking considerations, yield impacts were not significantly different from zero.