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“十二五”以来浙江经济社会发展状况评价研究 被引量:1
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《决策咨询》 2015年第5期1-6,38,共7页
"十二五"以来,我省认真贯彻党的十八大和十八届三中、四中全会精神,紧紧围绕建设"两富""两美"浙江的总目标,不断深化改革开放,全力推进转型升级,统筹抓好"五位一体"建设,全面小康的目标提前完... "十二五"以来,我省认真贯彻党的十八大和十八届三中、四中全会精神,紧紧围绕建设"两富""两美"浙江的总目标,不断深化改革开放,全力推进转型升级,统筹抓好"五位一体"建设,全面小康的目标提前完成,现代化建设继续走在全国前列。本文在杭州、宁波、金华、温州、丽水等市的调研座谈结果的基础上,对我省与沿海发达省份"十二五"以来的发展业绩进行了比较分析,重点评价了我省"十二五"以来的发展状况,并针对发展的主要问题提出对策建议。 展开更多
关键词 “十二五” 浙江省 经济社会发展状况 评价研究 突出问题
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俄罗斯阿穆尔州1999年经济社会发展概况
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作者 史季冬 《黑河学刊》 2000年第3期48-49,52,共3页
俄罗斯阿穆尔州是中俄边境贸易的重要地区。现将该州 1 999年经济社会发展概况予以披露 ,供中俄经贸从业者及研究人员参考。
关键词 俄罗斯 阿穆尔州 经济社会发展状况
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A Hurdle Negative Binomial Regression Model for Non-Marital Fertility in Namibia
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作者 Lillian Pazvakawambwa Nelago Indongo Lawrence Kazembe 《Journal of Mathematics and System Science》 2014年第7期498-508,共11页
The rise of non-marital fertility, which seems to defy the Bongaarts model by decoupling marriage from fertility, has become a subject of interest in both the developed and developing world. Consequences of non-marita... The rise of non-marital fertility, which seems to defy the Bongaarts model by decoupling marriage from fertility, has become a subject of interest in both the developed and developing world. Consequences of non-marital fertility are mostly negative particularly in developing countries. In Namibia, although premarital childbearing has been reported to be high and increasing, no studies have explicitly analyzed factors influencing non-marital fertility. This paper uses data from the 2006/7 Namibia DHS to establish the determinants of non-marital fertility among women by applying a two-part model, with one part to describe the presence of non-marital birth and the other part to explain its intensity (number of children born). Using the number of children ever born as an outcome, we explored various count data models. Based on the Voung statistics model comparison, we settled for the Hurdle logit Negative Binomial regression to model the number of non-marital births. Non-marital fertility in Namibia is associated with the age, with young women likely to have lower fertility compared to older women. Women with secondary or higher education had lower fertility compared those with no formal education. Findings also show that rural women higher fertility propensity compared to their urban counterparts even though there was no significant difference in fertility intensity. With regard to socio-economic status, fertility intensity decreased as the women got richer. Intervention efforts should focus on promoting education among girls and women especially in rural areas to improve their socio-economic status, reduce teenage pregnancy and non-marital fertility. 展开更多
关键词 non-marital fertility hurdle logit negative binomial two-part models Namibia
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