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研究目的:总结2018年国内外土地科学研究的重点进展,展望2019年中国土地科学的发展趋势以及《中国土地科学》重点关注方向。研究方法:文献调研法。研究结果:(1)土地经济领域重点关注城乡土地价格与农地流转影响因素、土地市场化改革与政府行为、土地产权制度变迁与征地冲突等;(2)土地管理领域研究热点主要围绕自然资源管理体制改革、农村土地制度改革与土地法律完善、土地权籍与耕地保护管理等实践问题;(3)土地资源、利用与规划领域研究以探索土地资源资产负债表编制、重视土地生态状况评估、深化土地利用视角下的碳排放研究、创新土地利用模式、探讨国土空间规划体系构建及村级规划为热点;(4)土地工程与技术领域在农地综合整治、复垦技术革新、土地污染修复方法等方面研究逐渐深入,土地信息采集、处理技术不断完善。研究结论:2019年,《中国土地科学》将重点关注国家战略实施下的土地制度改革与土地利用转型、自然资源统一管理下的空间治理体系构建、生态文明建设背景下的土地资源系统科学、信息通讯技术驱动下的土地资源智能管控等研究问题及相关选题方向。 相似文献
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农发行总行扶贫综合业务部 《农业发展与金融》2020,(2):14-15
2020年1月20日,农发行在召开年度工作会议期间举行表彰仪式,隆重表彰荣获2018~2019年度“脱贫攻坚贡献奖”“脱贫攻坚奉献奖”的先进集体和先进个人。解学智董事长主持仪式,徐一丁副行长宣读表彰决定,总行行领导出席并为先进集体代表和先进个人颁发奖牌和证书。 相似文献
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‘Deal’ or ‘No Deal’? Impacts of Alternative Post‐Brexit Trade Agreements on UK Agriculture 下载免费PDF全文
Brexit will have important implications for UK agricultural commodity markets due to potentially significant changes to trade flows. We quantify the sectoral impacts on UK agriculture of three illustrative scenarios, which capture a broad range of potential trade arrangements: Bespoke Free Trade Deal , WTO Default and Unilateral Trade Liberalisation . It is estimated that the projected market impacts are relatively small if the UK negotiates a Bespoke Free Trade Agreement with the EU. The projected impacts are much greater under the two other scenarios, which capture potential trade arrangements if ‘no deal’ is reached. The high tariffs imposed under the WTO default scenario lead to significant adjustments in trade between the UK and EU‐27, with the impact on the domestic UK market depending on whether the UK is a net importer or a net exporter of the relevant commodity. All sectors experience price and production declines under the trade liberalisation scenario in which the UK unilaterally sets tariffs on imports from both the EU‐27 and the rest of the world to zero; the impacts are particularly severe in the beef and sheep sectors where international competition is very strong. 相似文献
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Garth Holloway Donald J. Lacombe Timothy M. Shaughnessy 《Journal of Agricultural Economics》2014,65(2):463-484
The political economy literature on agriculture emphasises influence over political outcomes via lobbying conduits in general, political action committee contributions in particular, and the pervasive view that political preferences with respect to agricultural issues are inherently geographic. In this context, ‘interdependence’ in Congressional vote behaviour manifests itself in two dimensions. One dimension is the intensity by which neighbouring vote propensities influence one another, and the second is the geographic extent of voter influence. We estimate these facets of dependence using data on a Congressional vote on the 2001 Farm Bill using routine Markov chain Monte‐Carlo procedures and Bayesian model averaging, in particular. In so doing, we develop a novel procedure to examine both the reliability and the consequences of different model representations for measuring both the ‘scale’ and the ‘scope’ of spatial (geographic) co‐relations in voting behaviour. 相似文献
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