小城镇生活垃圾收费弹性分析——关于黑龙江省密山市密山镇生活垃圾收费的调查

通过对黑龙江省密山市密山镇环卫处的实地调查,收集了生活垃圾清运量、卫生收费和监察收费的时间序列数据.借助于经济学的弹性理论,计算了生活垃圾清运量对卫生收费和检查收费总额的弹性,分时段阐述了生活垃圾清运量对上述收费总额所表现出的与弹性理论相违背的现象,得出目前该镇收费对生活垃圾的减量化基本不起作用的结论,并从收费方法不合理和收费标准低的角度分析了上述现象存在的原因以及完善该镇生活垃圾收费制度的建议.     

AN OPTIMIZATION MODEL FOR EFFICIENT MANAGEMENT OF URBAN WATER RESOURCES1

ABSTRACT: A mathematical programming model is proposed to determine economically efficient urban water resource allocation and pricing policy by maximizing the sum of the consumer and producer surplus. The optimization of this nonlinear problem is accomplished by the use of linear programming algorithm. The feasibility of using recycled water for municipal purposes is examined in a planning context. The impact of higher water quality discharge standards on pricing and allocation of water is analyzed and the attractiveness of water reuse option is demonstrated.     

PEAK PERIOD DESIGN STANDARDS FOR SMALL WESTERN U.S. WATER SUPPLY SYSTEMS1

ABSTRACT: In order to determine design capacities for various components of municipal and rural domestic water supply systems, engineers must estimate water requirements for an entire year (water rights), for the peak season (reservoir storage), for the peak day (pump or treatment plant size), and for peak hour (pipeline sizes). Historically, per capita water use rates have varied greatly between systems, particularly in semiarid regions where outdoor demands are large. The resulting uncertainty in design capacity estimates can cause either inadequate capacities or premature investment. In order to minimize that uncertainty multiple regression and frequency analyses were made of the various water demand parameters mentioned above for 14 systems in Utah and Colorado. Specifically, demand functions are reported for average month, peak month, and peak day. Peak hour demands were also studied but are reported in a different paper. The independent variables which were significant for monthly and daily demands were price of water and an outdoor use index which includes the effect of variation in landscaped area and accounts for use of supplementary ditch or pressure irrigation systems. The demand functions were developed with data from systems varying in size from very small low density rural systems to Salt Lake City's water system. The correlation coefficients (R²) vary from 0.80 to 0.95.     

环境污染损失估价的索洛方程方法

本文提出了环境污染损失估价的索洛方程方法,同时,对环境价值存量的评估也进行了尝试,并且结合生产率的概念和索洛方程给出了环境污染损失的计算式,对其理论内涵及政策启示做了简要阐述。     

测土配方施肥对油菜生产的影响——基于1 722份田间试验材料的经济学分析

论文基于1 722份田间试验数据,将氮、磷、钾肥的投入量和油菜的产出量分别折算为相应的具体投入值和产出值,首先,运用超越对数生产函数模型计算出各种化肥要素的边际产出,研究发现氮、磷、钾肥的投入对油菜产出值的作用大小存在一定差异,对油菜产出值的影响大小关系为氮肥>磷肥>钾肥,其中氮肥的产出弹性值为0.288 3,磷肥的产出弹性值为0.180 3,钾肥的产出弹性值为0.087 7。其次,继续探究氮、磷、钾肥在油菜生产中的相互关系,结果显示,氮肥替代弹性系数为-0.058 8,磷肥为0.120 9,钾肥为0.281 0。最后,测算出使油菜产出值最大的氮肥最佳投入值为951.20 元/hm²,最佳磷肥投入值为3 766.08 元/hm²,最佳钾肥投入值为621.32 元/hm²。     

Climate Sensitivity of Phosphorus Loadings to an Urban Stream

We investigate the sensitivity of phosphorus loading (mass/time) in an urban stream to variations in climate using nondimensional sensitivity, known as elasticity, methods commonly used by economists and hydrologists. Previous analyses have used bivariate elasticity methods to represent the general relationship between nutrient loading and a variable of interest, but such bivariate relations cannot reflect the complex multivariate nonlinear relationships inherent among nutrients, precipitation, temperature, and streamflow. Using fixed‐effect multivariate regression methods, we obtain two phosphorus models (nonparametric and parametric) for an urban stream with high explanatory power that can both estimate phosphorus loads and the elasticity of phosphorus loading to changes in precipitation, temperature, and streamflow. A case study demonstrates total phosphorus loading depends significantly on season, rainfall, combined sewer overflow events, and flow rate, yet the elasticity of total phosphorus to all these factors remains relatively constant throughout the year. The elasticity estimates reported here can be used to examine how nutrient loads may change under future climate conditions.     

Residential Demand for Water in the Chicago Metropolitan Area1

Mieno, Taro and John B. Braden, 2011. Residential Demand for Water in the Chicago Metropolitan Area. Journal of the American Water Resources Association (JAWRA) 47(4):713‐723. DOI: 10.1111/j.1752‐1688.2011.00536.x Abstract: This paper provides the first contemporary analysis of residential water demand in humid Northeastern Illinois, in the vicinity of Chicago, and explores seasonal and income‐based differentials in the responsiveness of water use to water prices. Using a panel of system‐level data for eight water systems and controlling for seasons, weather, incomes, and community characteristics, the analysis yields low estimates of price elasticity of demand for water in line with other studies. Furthermore, price response is greater in summer and less in higher income communities. We suggest that use of seasonal pricing can help mitigate equity issues arising from differential income elasticities while taking advantage of the greater price responsiveness of summertime water use.     

气候变化和人类活动对丹江口入库径流的影响及评估

科学估算气候变化和人类活动对河川径流的影响,可以更为合理地规划利用地球水资源。针对丹江口水库入库径流的减少问题,分别采用Mann-Kendall方法和Pettitt检验,对1960~2012年间丹江口水库入库径流的年际和年内变化趋势进行了分析,并与同时期汉江上游20个地面观测站的降水、气温的年际和年内演化趋势进行了比较,从气候变化和人类活动影响的两个方面分析了入库径流减少的原因。在此基础上,利用气候弹性模型分别估算了气候变化和人类活动对径流的影响度。结果表明:近年来丹江口入库径流的减少主要受春季和秋季径流减少的影响,在春季径流的减少总量中,气候变化的贡献度为67%,人类活动为33%;秋季径流的减少总量中,气候变化的贡献度为88%,人类活动为12%。气候变化是导致丹江口入库径流减少的主要原因。     

Conserving Slow-Growing, Long-Lived Tree Species: Input from the Demography of a Rare Understory Conifer, Taxus floridana

Abstract:  Although land preservation and promotion of successful regeneration are important conservation actions, their ability to increase population growth rates of slow-growing, long-lived trees is limited. We investigated the demography of Taxus floridana Nutt., a rare understory conifer, in three populations in different ravine forests spanning its entire geographic range along the Apalachicola River Bluffs in northern Florida (U.S.A.). We examined spatial and temporal patterns in demographic parameters and projected population growth rates by using four years of data on the recruitment and survival of seedlings and established stems, and on diameter growth from cross-sections of dead stems. All populations experienced a roughly 10-fold increase in seedling recruitment in 1996 compared with other years. The fates of seedlings and stems between 8 and 16 mm differed among populations. The fates of stems in two other size classes (the 2- to 4-mm class and the 4- to 8-mm class) differed among both populations and years. Individual stems in all populations exhibited similarly slow growth rates. Stochastic matrix models projected declines in all populations. Stochastic matrix analysis revealed the high elasticity of a measure of stochastic population growth rate to perturbations in the stasis of large reproductive stems for all populations. Additional analyses also indicated that occasional episodes of high recruitment do not greatly affect population growth rates. Conservation efforts directed at long-lived, slow-growing rare plants like Taxus floridana should both protect established reproductive individuals and further enhance survival of individuals in other life-history stages, such as juveniles, that often do not appear to contribute greatly to population growth rates.     

The importance of agricultural yield elasticity for indirect land use change: a Bayesian network analysis for robust uncertainty quantification

ABSTRACT

A major barrier to realising biofuels’ climate change mitigation potential is uncertainty concerning carbon emissions from indirect land use change (ILUC). Central to this uncertainty is the extent to which yields can respond dynamically to increased demand for agricultural commodities. This study examines the elasticity of soybean and corn yields in the USA for 1990–2017 using Bayesian network models to robustly quantify uncertainty. The central finding is that a single parameter value for yield elasticity does not adequately represent the effects of technology, policy and price pressures through time. The models demonstrate the limiting role of technological progress as well as farmers’ capital investment in response to system shocks. Results suggest evaluation of parameter uncertainty alone is unlikely to capture a full range of future ILUC scenarios and reiterate the need for ILUC studies to use probabilistic approaches as standard to robustly inform climate change mitigation policies.