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农业灌溉水价制度的经济学分析——以浙江省水库灌区为例 被引量:13
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作者 叶舟 《农业经济问题》 CSSCI 北大核心 2006年第4期54-58,共5页
文章以水库资源发达、农业灌溉用水多的浙江省为例,基于制度演化的理论视域对我国现行农业灌溉水价制度进行经济学分析,以期推动我国农业灌溉水价制度的革新与完善。
关键词 水资源分配 农业灌溉水价制度 经济学分析 水库灌区
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西部干旱区农业灌溉水价的间接补偿机制研究 被引量:3
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作者 杜俊平 《长春大学学报》 2019年第9期24-30,共7页
从使用者付费、受益者补偿、节水者受益等补偿原则入手,明确政府和农民分别作为补偿的主体与对象,梳理了资金补偿、实物补偿、技术补偿、制度补偿为主的4种补偿方式。通过平行位移建模来核算补偿标准,提出加大财政转移支付中生态补偿力... 从使用者付费、受益者补偿、节水者受益等补偿原则入手,明确政府和农民分别作为补偿的主体与对象,梳理了资金补偿、实物补偿、技术补偿、制度补偿为主的4种补偿方式。通过平行位移建模来核算补偿标准,提出加大财政转移支付中生态补偿力度、建立生态补偿基金、加强喷灌或微灌等技术的推广、改进农业用水管道运输、强化产学研合作等间接补偿机制的保障措施,构建西部干旱区农业灌溉水价的间接补偿机制。 展开更多
关键词 西部 干旱区 农业灌溉水价 间接补偿机制 平衡位移建模
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农业灌溉水价与农户承受力及补偿机制研究进展 被引量:5
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作者 杜俊平 《环境保护与循环经济》 2018年第9期52-56,共5页
水资源日益短缺的现实问题引起了人们的广泛关注,农业灌溉用水又关乎农业经济发展的大局,学者们从不同的视角对此问题进行了深入研究。主要从灌溉用水的定价理论与依据、灌溉水价的定价原则与方法、灌溉水价的确定模式、灌溉水价的相关... 水资源日益短缺的现实问题引起了人们的广泛关注,农业灌溉用水又关乎农业经济发展的大局,学者们从不同的视角对此问题进行了深入研究。主要从灌溉用水的定价理论与依据、灌溉水价的定价原则与方法、灌溉水价的确定模式、灌溉水价的相关政策、灌溉水价的弹性值、水价改革与农户承受能力、灌溉水价的补偿机制等方面展开论述。除此之外,水价调整后的精准补贴、水资源消耗的环境成本的核算、水资源和农业经济发展的互动关系等问题尚待进一步研究。 展开更多
关键词 农业灌溉水价 农户承受力 补偿机制 定价理论 定价方法
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灌区农业完全成本水价研究——以张掖市甘州区灌区为例 被引量:17
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作者 鲜雯娇 徐中民 邓晓红 《冰川冻土》 CSCD 北大核心 2014年第2期462-468,共7页
水价是一种重要的经济手段,它是实现水资源可持续利用的重要工具.现有的水价模型多以供水生产成本代替了供水过程中的全部成本,完全成本水价模型综合考虑了供水生产过程中的所有成本以及利润和税金,使水价能充分体现水资源的稀缺价值、... 水价是一种重要的经济手段,它是实现水资源可持续利用的重要工具.现有的水价模型多以供水生产成本代替了供水过程中的全部成本,完全成本水价模型综合考虑了供水生产过程中的所有成本以及利润和税金,使水价能充分体现水资源的稀缺价值、供水服务成本以及水环境的恢复补偿费用.介绍了完全成本水价模型,然后以张掖市甘州区的灌区为例,计算了其农业完全成本水价.结果表明:大满、甘浚、上三和乌江4个灌区的完全成本水价分别为0.16元·m-3、0.15元·m-3、0.20元·m-3、0.14元·m-3.接着比较了各灌区的现行水价与完全成本水价的差异,得出张掖市现行水价偏低,各灌区现行水价分别占完全成本水价的62.5%、66.67%、50%、71.4%,均未达到各灌区的完全成本水价,无法补偿供水单位的供水成本. 展开更多
关键词 农业灌溉水价 完全成本水价 甘州区灌区
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兰西县长岗灌区终端水价测算与分析
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作者 兰天麒 姜宁 +1 位作者 范纯 韩刚 《水利科学与寒区工程》 2021年第1期29-32,共4页
实现对水资源更高效的利用与更优化的配置,合理的水价定价方法是一种重要的手段。以兰西县长岗灌区为例,对灌区的农业终端水价进行测算,计算得出灌区的终端水价,并通过实地调查了解长岗灌区农户对水价改革的接受程度,对结果进行了分析,... 实现对水资源更高效的利用与更优化的配置,合理的水价定价方法是一种重要的手段。以兰西县长岗灌区为例,对灌区的农业终端水价进行测算,计算得出灌区的终端水价,并通过实地调查了解长岗灌区农户对水价改革的接受程度,对结果进行了分析,为灌区未来实行水价改革提供参考和依据。 展开更多
关键词 终端水价 农业灌溉水价 水价改革 长岗灌区
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Estimation of the Economic Value of Irrigation Water in Jordan 被引量:1
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《Journal of Agricultural Science and Technology(B)》 2012年第5期487-497,共11页
Insight into the different values of water is essential to support rational decision making about policies, management and investments in the water sector. The main objective of this paper is to estimate an economic v... Insight into the different values of water is essential to support rational decision making about policies, management and investments in the water sector. The main objective of this paper is to estimate an economic value of irrigation water in Jordan by choosing appropriate methodology fit with available data. The Residual Imputation Method (RIM) is used to determine the average economic value of irrigation water used in agriculture across crops. The results showed that the weighted average of water value used in field crops is JD 0.44 m"3 and JD 1.23 m3 for vegetable crops and JD 0.23 m3 for fruit trees. The overall weighted average water value in irrigation is estimated with JD 0.51 m"3. With regard to individual crops, cucumbers had the highest water values with about JD 6.05 m3, followed by string beans with JD 2.64 m3, and sweet pepper with JD 2.54 m3. The lowest returns per m3 were provided by squash, radish and hot pepper. For fruit tress banana has the highest water value JD 0.79 m3 and olive tress has the lowest with only JD 0.069 m3. The current practice of some banana producers is economically rational by installing Reverse Osmosis unit to irrigate banana, since water value is twice the desalination costs of one cubic meter. The estimated values represent the maximum price that farmers might be willing to pay for water under the current market conditions. Water subsidy distorts farmers' perception of water as a scarce and thus valuable resource. Low water prices are thus likely to engender excessive use. It is necessary to allow water prices to recover the real cost of water supply and to ensure financial sustainability of water utilities. 展开更多
关键词 Economic value residual imputation irrigation water horticultural crops.
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Quality Assessment of Different Industrial Effluents for Irrigation in Agriculture
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作者 M Rafiqul Islam G K M Mustafizur Rahman +2 位作者 A J M Sirajul Karim M Giasuddin Miah M Abu Saleque 《Journal of Earth Science and Engineering》 2015年第2期134-145,共12页
A laboratory experiment was undertaken in Soil Science Division of BRRI (Bangladesh Rice Research Institute) during 2010 to assess the quality of industrial effluents and city waste as a source of irrigation water f... A laboratory experiment was undertaken in Soil Science Division of BRRI (Bangladesh Rice Research Institute) during 2010 to assess the quality of industrial effluents and city waste as a source of irrigation water for agriculture. The treatments of the studies were the effluents of five different industrial sources like polyvinyl, dyeing, pharmaceuticals, beverage, tannery, mixed waste water (contaminated with effluents from many industries), CWW (city waste water) and underground water as control. The industrial effluents, MWW (mixed waste water), CWW and control water were tested for electrical conductivity, pH, and soluble ions such as Na^+, Ca^2+, Mg^2+, K^+, HCO3-, CO3^2-, NH4^+-N and H2PO4^-. Micronutrients (Fe, Mn, Cu and Zn) and heavy metals (As, Pb, Cd, Cr and Ni) were analyzed from the samples. Beverage industry effluent showed acidic reaction, while the other industrial effluents showed alkaline reaction (pH 7.25-9.07). Pharmaceutical, dyeing and tannery effluents showed EC of 3.40, 4.30 and 9.49 dS m^-1, respectively, compared to 0.54 dSm^-1 of the control. All the effluents except polyvinyl and beverage effluents and CWW recorded higher carbonate and bicarbonate content than that of control. Industrial effluents and CWW were higher in micronutrient content as compared to control. Dyeing, pharmaceutical and tannery effluents contained 2.51, 3.94 and 4.29 mg L^-1 lead, 0.15, 0.14 and 0.38 mg L^-1 chromium and 0.25, 0.24 and 0.16 mg L^-1 nickel, respectively which might be concemed for health hazard through food chain. 展开更多
关键词 Electrical conductivity heavy metal content sodium adsorption ration soluble sodium percent city waste water.
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