modeling skewness with the linear stochastic plateau model to determine optimal nitrogen rates accurate modeling of skewness is needed to increase the actuarial fairness of crop insurance we test day s conjecture that crop yield skewness becomes negative as nitrogen rates increase and determine how well a linear response stochastic plateau lrsp production function matches the pattern of observed skewness using four long term nitrogen experiments stillwater wheat is consistent with day s conjecture but the skewness for lahoma and altus wheat yields as well as altus cotton yields are not the lrsp assumes normal random effects and can explain only a small part of observed skewness so a new lrsp with skew normal random effects is introduced which comes closer to explaining the observed skewness and should increase the accuracy of nitrogen rate recommendations negative skewness reduced optimal nitrogen rates and positive skewness increased optimal nitrogen rates

some design lessons from market based greenhouse gas regulation in the restructured australian electricity industry abstract there is growing worldwide interest in the use of market based policy instruments for climate change regulation in the electricity sector these mechanisms would seem to offer some efficiency and flexibility advantages over more traditional regulatory approaches while being highly compatible with competitive market based electricity industries australia has been an early and enthusiastic adopter of both electricity industry restructuring and market based environmental instruments this paper first outlines some of these recent policy developments in particular we describe the objectives design and outcomes to date of electricity industry restructuring the mandatory renewable energy target the nsw greenhouse benchmarks the queensland 13 gas scheme and government accredited green power from this we draw some key design lessons for such market based instruments these include the perils of abstraction in scheme design the vital importance of setting appropriate baselines in baseline and credit schemes the possibility that such measures may interact in ways that reduce their environmental effectiveness market for lemon risks with tradable instruments that have measurement verification or additionality difficulties and the challenges of creating transparent liquid markets for these mechanisms the mixed performance of these australian schemes to date illustrates the need for great care in designing such market based approaches

technology adoption under production uncertainty theory and application to irrigation technology we propose a theoretical framework to analyze the conditions under which a farmer facing production uncertainty due to a possible water shortage and incomplete information will adopt a more efficient irrigation technology a reduced form of this model is empirically estimated using a sample of 265 farms located in crete greece the empirical results suggest that farmers choose to adopt the new technology in order to hedge against production risk in addition we show that the farmer s human capital also plays a significant role in the decision to adopt modern more efficient irrigation equipment

on monoculture and the structure of crop rotations an issue when seeking to identify rotation choice is persistence in yield enhancement and input saving carry over effects focusing on carry over length and the monoculture decision we use quasi convexity of choice functions to develop price independent and price dependent principles concerning rotation structure iowa corn soybean rotation data suggest corn has one year memory for corn soybeans in the prior year is yield increasing 16 5 bu ac and nitrogen saving 51 lb ac the hypothesis that soybean has two year memory cannot be rejected corn in the prior year two years increases yield by 7 bu ac 11 6 bu ac we simulate to find price and practice subsidy levels that support different rotations

impacts of wind and solar spatial diversification on its market value a case study of the chilean electricity market abstract renewable energy is expected to become the main electricity source in the world in the coming decades with solar and wind power taking a big share of the energy supply although there has been a remarkable advance on renewable energy technologies their integration is still difficult for regulators market designers and system operators due to the high variability and limited predictability of solar and wind resources measures can be adopted to ease their integration among them geographical diversification there is plenty of literature about the diversification of solar and wind resources and there is a common conclusion greater dispersion smooths out power production however literature on the effects of spatial diversification on the power system electricity prices and renewable energy market value is much scarcer this paper studies the effects of spatial diversification and questions whether integration policies are incentivizing the placement of renewable generators where they provide the highest value to the electricity system in chile using real data and a simplified dispatch model the analysis presented shows evidence of the effects of diversification on wind and solar market value in chile results suggest that spatial diversification has a strong positive effect on the market value of renewable energy especially in scenarios with active transmission and hydro storage constraints wind market value may vary up to us 10 mw h depending on the level of diversification and the spatial and temporal constraints of the system and given current storage capacity of hydro reservoirs the solar market value may increase us 5 mw h due to diversification if transmission capacity is enough even though these results must be observed with caution because they depend on the assumptions made there is an important effect of renewable spatial diversification that should be observed by regulators

on the trade offs of regulating multiple unpriced externalities with a single instrument evidence from biofuel policies abstract we develop an analytical and numerical model that integrates land fuel and food markets to evaluate the welfare implications of the u s renewable fuel standard rfs each dollar reduction in the external costs of oil dependency comes at the expense of additional environmental external costs of 0 53 conditional on the categories of external benefits we consider the rfs fails a benefit cost test when excluding the change in the trade balance with net costs totaling 1 4 billion in 2015 further policymakers would have to value the external costs of oil dependency at 1 05 per gallon of gasoline in order for the rfs to pass a benefit cost test which is nearly five times larger than central estimates of the oil premium

the impact of wind power generation on the electricity price in germany abstract this paper investigates the relationship between intermittent wind power generation and electricity price behaviour in germany using a garch model i evaluate the effect of wind electricity generation on the level and the volatility of the electricity price in an integrated approach the results show that variable wind power reduces the price level but increases its volatility this paper s results also indicate that regulatory change has stabilised the wholesale price the electricity price volatility has decreased in germany after a modification of the marketing mechanism of renewable electricity this gives confidence that further adjustments to regulation and policy may foster a better integration of renewables into the power system

slovak electricity market and the price merit order effect of photovoltaics abstract this paper analyses slovak electricity market with a focus on photovoltaic energy it evaluates the impact of the solar electricity penetration into electricity mix on spot prices seeks evidence of the merit order effect in the slovak electricity market and quantifies it based on hourly data the multivariate regression analysis covers the period 2011 2016 the rather small merit order effect estimated by an ols time series model leads to the small decrease of slovak electricity wholesale prices this spot price reduction attributable to the photovoltaics does not outweigh the costs of the support scheme borne by end users what implies a consumer loss

input demand under yield and revenue insurance previous studies disagree on the effects of insurance on fertilizer application rates the effect of increased fertilizer on the probability of low yields primarily determines whether fertilizer and insurance are substitutes or complements we estimate conditional distributions of corn yields to determine if the technical relationship between yields and fertilizer supports the hypothesis that insurance increases optimal application rates our results indicate no support for this hypothesis at all nitrogen fertilizer rates and reasonable levels of risk aversion nitrogen fertilizer and insurance are substitutes suggesting that those who purchase insurance are likely to decrease nitrogen fertilizer applications

testing the stochastic structure of production a flexible moment based approach conventional production function specifications are shown to impose restrictions on the probability distribution of output that cannot be tested with the conventional models these restrictions have important implications for firm behavior under uncertainty a flexible representation of a firm s stochastic technology is developed based on the moments of the probability distribution of output these moments are a unique representation of the technology and are functions of inputs large sample estimators are developed for a linear moment model that is sufficiently flexible to test the restrictions implied by conventional production function specifications the flexible moment based approach is applied to milk production data the first three moments of output are statistically significant functions of inputs the cross moment restrictions implied by conventional models are rejected

are u s corn and soybeans becoming more drought tolerant an objective drought index that measures the dry and hot conditions adversely affecting crop yields is used in a regression analysis to test whether corn and soybeans have become more drought tolerant results indicate that corn yield losses whether measured in quantity terms or as a percentage of mean yield have decreased the null hypothesis that the absolute level of soybean yield losses due to drought has not changed cannot be rejected but yield losses in percentage terms have decreased over time because drought is the primary cause of yield loss in the u s crop insurance program and because u s crop insurance rates assume that percentage of yield losses are constant over time these results indicate that u s crop insurance rates in the corn belt are too high

skewness preference risk aversion and the precedence relations on stochastic changes this paper provides a general choice theoretic characterization of the trade off between risk and skewness whose importance in understanding risk taking behavior is well documented in empirical studies the condition under which the prudence measure kimball 1990 characterizes the strength of an individual s downside risk aversion against his own risk aversion is identified and interpreted in a unifying framework based on the concept of one stochastic dominant change preceding another and that of the desirability of a stochastic change the framework is also shown to be useful for a better understanding of the arrow pratt measure the stronger ross measure and the coincidence of the characterizations of downside risk aversion and prudence as well as the relationship between stochastic dominances of different degrees

high penetration wind generation impacts on spot prices in the australian national electricity market this paper explores wind power integration issues for the south australian sa region of the australian national electricity market nem by assessing the interaction of regional wind generation electricity demand and spot prices over 2 recent years of market operation sa s wind energy penetration has recently surpassed 20 and it has only a limited interconnection with other regions of the nem as such it represents an interesting example of high wind penetration in a gross wholesale pool market electricity industry our findings suggest that while electricity demand continues to have the greatest influence on spot prices in sa wind generation levels have become a significant secondary influence and there is an inverse relationship between wind generation and price no clear relationship between wind generation and demand has been identified although some periods of extremely high demand may coincide with lower wind generation periods of high wind output are associated with generally lower market prices and also appear to contribute to extreme negative price events the results highlight the importance of electricity market and renewable policy design in facilitating economically efficient high wind penetrations

crop yield skewness under law of the minimum technology no satisfactory motivation has been forwarded in favor of any crop yield distribution including the normal this article explores the foundations of yield distributions for the law of the minimum resource constraint technology at the plot level of analysis with independent identical uniform resource availability distributions the yield skew is positive whereas it is negative whenever the distributions are normal simulations show how asymmetries in resource availabilities determine skewness it is suggested that a negative yield skew occurs whenever production is tightly controlled so that the left tails of some resources availabilities distributions are thin irrigation may increase yield skewness copyright 2009 oxford university press

are crop yields normally distributed the evidence for nonnormality of crop yields is reassessed three methodological problems are identified in typical yield distribution analyses i misspecification of the nonrandom components of yield distributions ii missreporting of statistical significance and iii use of aggregate timeseries ats data to represent farm level yield distributions one or more of these problems infect virtually all evidence against normality to date the positive contribution of the article is a set of principles that must be followed in any valid investigation of yield normality

drivers of electricity price dynamics comparative analysis of spot and futures markets abstract against the backdrop of numerous evidence that variable renewable generation decreases electricity prices and increases price volatility this paper assesses the drivers of electricity prices in spot and futures markets focusing on the german electricity markets we take into account nonlinearities in electricity prices by means of structural breaks and threshold regressions we find that short run and medium long run price drivers differ and more importantly that they vary over time in the case of the spot market the determinants of prices are renewable infeed and electricity demand while in the futures market the main drivers are natural gas coal and carbon prices our results give relevant insights for market participants who seek to optimize procurement selling strategies in the spot market and use the futures market to hedge against spot price volatility which has increased due to a higher renewable generation

the effects of wind generation capacity on electricity prices and generation costs a monte carlo analysis abstractwe use monte carlo analysis to examine the potential of increased renewable generation to provide a hedge against variability in energy prices and costs fuel costs electricity demand and wind generation are allowed to vary and a unit commitment and economic dispatch algorithm is employed to produce cost minimizing generation schedules under different levels of installed wind capacity increased wind capacity reduces the mean and the variance of production costs but only the variance of electricity prices wind generators see their market revenues increase while consumer payments and fossil generator profits do not considerably vary as wind capacity increases risk aversion is captured by considering the conditional value at risk for both consumers and producers the optimal level of wind generation increases as risk aversion increases due to the potential of wind to act as a hedge against very high electricity prices in high fuel price scenarios

impact of renewables on electricity markets do support schemes matter abstract rising renewable shares influence electricity markets in several ways among others average market prices are reduced and price volatility increases therefore the missing money problem in energy only electricity markets is more likely to occur in systems with high renewable shares nevertheless renewables are supported in many countries due to their expected benefits the kind of support instrument can however influence the degree to which renewables influence the market while fixed feed in tariffs lead to higher market impacts more market oriented support schemes such as market premiums quota systems and capacity based payments decrease the extent to which markets are affected this paper analyzes the market impacts of different support schemes for this purpose a new module is added to an existing bottom up simulation model of the electricity market in addition different degrees of flexibility in the electricity system are considered a case study for germany is used to derive policy recommendations regarding the choice of support scheme

geography of crop yield skewness analysis of crop yield distributions provides insights into better understanding how natural resources shape agricultural productivity this study seeks to provide a rigorous theoretical and empirical understanding of the effects of exogenous geographic and climatic factors on the first three moments of crop yields with focus on the third moment we hypothesize that exogenous factors having beneficial effects on crop production should make crop yield distributions less positively or more negatively skewed we employ a large crop insurance data set for corn soybean and wheat to find general support for our natural resources determines skewness hypothesis the proposed statistical method optimally uses correlations between the first three moments it significantly improves estimation performance over existing methods including the linear moment model which has been commonly applied in the literature

reducing the market impact of large shares of intermittent energy in denmark abstract the increasing prevalence of renewable and intermittent energy sources in the electricity system is creating new challenges for the interaction of the system in denmark high renewable shares have been achieved without great difficulty mainly due to the flexibility of the nearby nordic hydro power dominated system further increases in the share of renewable energy sources require that additional options are considered to facilitate integration with the lowest possible cost with large shares of intermittent energy the impact can be observed on wholesale prices giving both lower prices and higher volatility a lack of wind that causes high prices is rarely seen because long periods without wind are uncommon therefore we focus on the low price effects and the increased value of flexible demand options on the supply side there is an increase in the value of other flexible generation technologies and the attractiveness of additional interconnection capacity this paper also analyses options for increasing the flexibility of heat generation involving large and decentralized chp plants and heat generation based on electricity the incentives that the market provides for shifting demand and using electricity for heat production are discussed based on the variability of prices observed from 2006 to 2008

does britain or the united states have the right gasoline tax this paper develops an analytical framework to assess the second best optimal level of gasoline taxation taking into account unpriced pollution congestion and accident externalities as well as interactions with the broader fiscal system we provide calculations of the optimal taxes for the us and the uk under a variety of parameter scenarios under our central parameter values the second best optimal gasoline tax is 1 01 gal for the us and 1 34 gal for the uk current tax rates are much lower than this in the us and higher in the uk the calculations are moderately sensitive to alternative parameter assumptions the congestion externality is the largest component in both nations revenue raising needs also play a significant role as do accident externalities and local air pollution potential welfare gains from reducing the current uk tax rate are estimated at nearly one fourth the production cost of all gasoline used in the uk even larger gains could be achieved by switching to a tax on vehicle miles with equal revenue yield for the us the welfare gains from optimizing the gasoline tax are smaller but those from switching to an optimal tax on vehicle miles are very large

asymmetry partial moments and production risk partial moment functions are proposed as a flexible way to characterize and estimate asymmetric effects of inputs on output distributions methods for econometric estimation of partial moment functions and tests for input symmetry and location scale distributions are presented a monte carlo study demonstrates properties of proposed tests a study of ecuadorian potato production illustrates the methods hypotheses of input symmetry and location scale are rejected a risk value model based on partial moments implies that fertilizer is risk increasing and fungicides and labor are risk reducing in potato production whereas an expected utility model based on full moments has the opposite implications

testing day s conjecture that more nitrogen decreases crop yield skewness whilecontroversysurroundsskewnessattributesoftypicalyielddistributions abetterunderstandingis importantforagriculturalpolicyassessmentandforcrop insuranceratesetting day 1965 conjectured that crop yield skewness declines with an increase in nitrogen use at low levels but not at higher levels employing four corn yield experimental plot datasets we investigate the conjecture by introducing a a flexible bayesian extension of the just pope technology to incorporate skewness and b a quantilebased measure of skewness shift bayesian estimation provides strong evidence in favor of negative skewnessatcommercialnitrogenratesandforday sconjecture therewasweakerevidenceinfavorof positively skewed cotton yield and little evidence in favor of the conjecture the results are confirmed by the quantile based measure we also find evidence that skewness becomes more negative upon moving from corn after corn to corn after soybean

assessing the impact of wind generation on wholesale prices and generator dispatch in the australian national electricity market abstract growing climate change and energy security concerns are driving major wind energy deployment in electricity industries around the world despite its many advantages growing penetrations of this highly variable and somewhat unpredictable energy source pose new challenges for electricity industry operation one issue receiving growing attention is the so called merit order effect of wind generation in wholesale electricity markets wind has very low operating costs and therefore tends to displace higher cost conventional generation from market dispatch reducing both wholesale prices and conventional plant outputs this paper extends the current literature on this effect through an empirical study employing a range of econometric techniques to quantify the impacts of growing wind penetrations in the australian national electricity market nem the results suggest that wind is having a marked impact on spot market prices and while wind is primarily offsetting higher operating cost gas generation it is now also significantly reducing dispatch of emissions intensive brown coal generation great care needs to be taken in extrapolating these results to longer term implications however the study does propose a methodology for assessing this effect highlights the impacts that wind is already having on nem outcomes and suggests promising directions for future research

heteroscedasticity or production risk a synthetic view two veins of literature namely production risk literature and stochastic frontier analysis are examined both fields are concerned of output variation the former due to exogenous shocks the latter due inefficiency by covering the literature from both the fields this review suggests that the concept of heteroscedasticity can be utilized to build a synthesis between these mainly separate branches of literature however the synthetic approach brings a challenge how to differentiate between different sources of output variation this challenge is identified as the main obstacle to meaningfully combine the two approaches

is renewable energy a cost effective mitigation resource an application to the spanish electricity market abstract this paper evaluates the net effect of renewable energy policy in spain from 2002 to 2017 and calculates its cost effectiveness in terms of co2 emission reductions in the production of electricity our conclusions indicate that although the phasing out of feed in tariffs reduced the regulatory costs it also limited renewable participation in the electricity market leading to an increased electricity price and higher emissions according to our results the joint effect of i the value of avoided emissions due to renewable energy participation and ii the merit order effect was able to compensate for the regulatory costs subsidies up until 2010 while the sign of the net effect was reversed from 2011 to 2017 finally we find that the economic implications of emission reductions are highly dependent on how the social cost of carbon is measured

how does market power affect the impact of large scale wind investment in energy only wholesale electricity markets in the short run it is well known that increasing wind penetration is likely to reduce spot market electricity prices due to the merit order effect the long run effect is less clear because there will be a change in new capacity investment in response to the wind penetration in this paper we examine the interaction between capacity investment wind penetration and market power by first using a least cost generation expansion model to simulate capacity investment with increasing amounts of wind generation and then using a computer agent based model to predict electricity prices in the presence of market power we find the degree to which firms are able to exercise market power depends critically on the ratio of capacity to peak demand for our preferred long run generation scenario we show market power increases for some periods as wind penetration increases however the merit order counteracts this with the results that prices overall remain flat returns to peakers increase significantly as wind penetration increases the market power in turn leads to inefficient dispatch which is exacerbated with large amounts of wind generation

econometric estimation of producers risk attitudes general methods are proposed for the identification and econometric estimation of the parameters of the distribution of risk attitudes in a producer population the proposed methods also provide the basis for the development of statistical tests of model specification and of behavioral hypotheses econometric risk attitude estimation is shown to be possible under less restrictive conditions than previously believed a moment based version of the general model is applied to indian data and the econometrically estimated risk attitudes are presented and compared to experimental results for a similar group of producers

a nonparametric approach to the von liebig paris technology we develop the dual implications of the von liebig paris nutrient response technology and parametric and nonparametric tests for this technology we discuss the nonparametric approach using two different representations corresponding to optimistic and pessimistic nonparametric approximations of the technology application of the nonparametric approach to two experimental data sets and to two data sets generated by monte carlo methods confirms the presence of yield plateaus but provides mixed evidence regarding input nonsubstitution the optimistic representation exhibits virtually no input substitution while the pessimistic representation shows considerable substitutability

nonparametric regression techniques in economics this introduction to nonparametric regression emphasizes techniques that might be most accessible and useful to the applied economist the paper begins with a brief overview of the class of models under study and central theoretical issues such as the curse of dimensionality the bias variance trade off and rates of convergence the paper then focuses on kernel and nonparametric least squares estimation of the nonparametric regression model and optimal differencing estimation of the partial linear model constrained estimation and hypothesis testing is also discussed empirical examples include returns to scale in electricity distribution and hedonic pricing of housing attributes

a strong test of the von liebig hypothesis department of agricultural and resource economics and polij y1 division of agriculture and natural resources iversity of california at berkeley working paper no 860 a strong test of the v on liebig hypothesis by peter berek jacqueline geoghegan and stephen stobs california agricultural experiment station giannini foundation of agricultural economics october 1998

on crop biodiversity risk exposure and food security in the highlands of ethiopia this paper investigates the effects of crop genetic diversity on farm productivity and production risk in the highlands of ethiopia using a moment based approach the analysis uses a stochastic production function capturing mean variance and skewness effects welfare implications of diversity are evaluated using a certainty equivalent measured as expected income minus a risk premium reflecting the cost of risk we find that the effect of diversity on skewness dominates its effect on variance meaning that diversity reduces the cost of risk the analysis also shows that the beneficial effects of diversity

the merit order effect a detailed analysis of the price effect of renewable electricity generation on spot market prices in germany the german feed in support of electricity generation from renewable energy sources has led to high growth rates of the supported technologies critics state that the costs for consumers are too high an important aspect to be considered in the discussion is the price effect created by renewable electricity generation this paper seeks to analyse the impact of privileged renewable electricity generation on the electricity market in germany the central aspect to be analysed is the impact of renewable electricity generation on spot market prices the results generated by an agent based simulation platform indicate that the financial volume of the price reduction is considerable in the short run this gives rise to a distributional effect which creates savings for the demand side by reducing generator profits in the case of the year 2006 the volume of the merit order effect exceeds the volume of the net support payments for renewable electricity generation which have to be paid by consumers

revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in australia this paper investigates the effect of increasing the number of wind turbine generators on wholesale spot prices in the australian national electricity market s nem given the existing transmission grid from 2014 to 2025 we use a sensitivity analysis to evaluate the effect of five different levels of wind power penetration on prices ranging from scenario a no wind to scenario e that includes existing and planned wind power sufficient to meet australia s original 2020 41twh large scale renewable energy target lret we find divergence in prices between states and similar prices for nodes within states this supports the garnaut climate change review assessment on the prevalence of gold plating the intrastate transmission network and underinvesting in interstate connectivity we find that increasing wind power penetration decreases wholesale spot prices but that retail prices have increased in deregulated south australia and queensland similarly in victoria we argue that there is a pressing need to split the large generator retail companies into separate retail and generator companies and to reassess regulatory rules more generally interconnector congestion limits the potential for wind power to further reduce wholesale prices across the nem so the need for a high capacity transmission backbone in the nem is becoming clearer and will become pressing when australia moves beyond its current 2020 lret

the effect of wind and solar power forecasts on day ahead and intraday electricity prices in germany abstract this study analyzes the effects of wind and solar power generation forecasts on electricity prices converse to the existing empirical literature in this area we apply a panel data analysis to control for endogeneity due to unobserved heterogeneity we use a dataset with 24 daily observations of day ahead and intraday prices from 2010 to 2016 and we apply a fixed effects regression under consideration of robust driscoll kraay standard errors a noteworthy element of the regression model is the simulation based design of a variable indicating the power generation technology that is price determining at a certain point in time in this context we differentiate between the fuel types coal gas and others to model the nonlinear price behavior for a varying demand for 2016 we find price dampening effects of both wind and solar power of approximately 0 6 mwh per additional gwh of feed in along with the rapidly increasing shares of wind and solar power of the total power generation during the last years their price dampening effect has declined since 2013 due to a drop in fuel prices another finding is that a reduction in forecasting errors on the power generation from wind and solar and smoothing of the cyclical demand would lead to a decreased price volatility

on technological change in crop yields technological changes in agriculture tend to alter the mass associated with segments or components of the yield distribution as opposed to simply shifting the entire distribution upwards we propose modeling crop yields using mixtures with embedded trend functions to account for potentially different rates of technological change in different components of the yield distribution by doing so we can test some interesting and previously untested hypotheses about the data generating process of yields for example 1 is the rate of technological change equivalent across components and 2 are the probabilities of components constant over time our results technological change is not equivalent across components and probabilities tend not to have changed significantly over time have implications for modeling yields we find estimated conditional yield densities are quite different when unique trend functions are embedded inside the mixture components versus estimating the same mixture with detrended data also we prove different rates of technological change in different components lead to nonconstant variance with respect to time i e heteroscedasticity we present two applications of the proposed yield model the first application considers climate determinants of component membership where our results are consistent with the literature for climate determinants of yields the second application compares the proposed yield model to usda s current rating methodology for area yield crop insurance contracts and finds the proposed model may lead to more accurate rates

wind storage interconnection and the cost of electricity generation abstract we evaluate how increasing wind generation affects wholesale electricity prices balancing payments and the cost of subsidies using the irish single electricity market sem as a test system with hourly data from 1 january 2008 to 28 august 2012 we model the spot market using a system of seemingly unrelated regressions sur where the regressions are the 24 hours of the day wind has a negative impact on the system marginal price with every mwh increase in wind generation equal to about 0 2 of the average wind generation in our sample leading to a decrease of the system marginal price of 0 018 mwh or about 0 3 of its average value we use time series models to analyse the balancing market and show that wind generation increases balancing payments as do the forecast errors of demand and wind every mwh of additional wind generation is associated with an increase in constraint payments of 3 2 or about 0 01 lack of storage increases the impact of wind on balancing payments whereas the lack of interconnection has no effect overall wind decreases costs through its effect on the electricity price more than it increases constraint payments even when storage is on outage the effect of wind remains positive after including the cost of subsidies given to wind generation

the effect of wind and solar power generation on wholesale electricity prices in australia abstract our paper investigates the effect of wind and utility scale solar electricity generation on wholesale electricity prices in australia over 2010 2018 we use both high frequency 30 min and daily datasets for the australian national electricity market nem we estimate autoregressive distributed lag models ardl to decompose the merit order effect of wind and utility scale solar pv generation over time and across states we find that an extra gw of dispatched wind capacity decreases the wholesale electricity price by 11 aud mwh at the time of generation while solar capacity by 14 aud mwh the daily merit order effect is lower we show that the wind merit order effect has been increasing as a function of dispatched wind capacity over time despite of this wholesale electricity prices in australia have been increasing predominantly driven by the increase in natural gas prices our findings further strengthen the evidence of the merit order effect of renewable energy sources with important implications for the current energy policy debate in australia

germany s nuclear power plant closures and the integration of electricity markets in europe this paper examines the potential implications of national policies that lead to a sudden increase of wind power in the electricity mix for interconnected european electricity markets more specifically it examines market integration before and after the closures of eight nuclear power plants that occurred within a period of a few months in germany during 2011 the short and long run interrelationships of daily electricity spot prices from november 2009 to october 2012 in apx endex belpex epex de epex fr nordpool omel and swissix and wind power in the german system are analysed two mgarch multivariate generalized autoregressive conditional heteroscedasticity models with dynamic correlations are used to assess spot market behaviour in the short run and a fractional cointegration analysis is conducted to investigate changes in the long run behaviour of electricity spot prices results show positive time varying correlations between spot prices in markets with substantial shared interconnector capacity a negative association between wind power penetration in germany and electricity spot prices in the german and neighbouring markets and for most markets a decreasing speed in mean reversion

u s climate policy and the regional economics of electricity generation abstract we examine the interaction between price competition and policy in four iso markets by modeling the economic dispatch of generation technologies and the evolution of generation resources over a fifteen year period beginning in 2016 using a representative range of forward prices for natural gas and other generator costs we model three potential pathways for federal policy 1 the status quo which assumes no new federal initiatives through 2031 2 moderate and aggressive national or regional rpss and 3 carbon taxes that vary in timing and amount the model assesses the impact of these policies on competition between electricity generators using a range of output variables including the cost of electricity emissions of carbon dioxide co2 retirement and construction trends for generation resources and dispatch rates of generation technologies we analyze conditions in four regional electricity markets with distinct starting generation portfolios demand profiles that differ seasonally and diurnally wind and solar resources and fuel costs our results provide new insights into the competitive barrier that low gas prices represent for renewables the superior efficacy of carbon taxes even at low rates over rpss and the singular competitive advantage renewables enjoy by virtue of having near zero marginal costs

land resilience and tail dependence among crop yield distributions we propose and empirically test a simple model to shed light on the nature of interactions between weather land quality and yield the conceptual model posits substitution relations between water stress metrics and soil quality as well as a soil conditioned threshold water stress level beyond which soil cannot buffer crop yields the model implies that yield yield dependence should vary as growing conditions vary in comparison with intermediate growing conditions yield yield dependence should strengthen when growing conditions are either very good or very poor county yield data strongly support substitution between soil and benign water availability levels but complementarity between soil and beneficial heat variables our estimated model provides qualified support for the hypothesis that better land is more resilient to water stress we estimate a pseudo copula that nests the gaussian copula finding strong evidence of left tail dependence among yields our formal model and empirical findings corroborate others concerns about the appropriateness of current usda rate setting methodologies which posit constant state conditional rank correlations implicitly assumed by use of the gaussian copula an application to aggregate crop yield rate setting suggests that current methods underprice area yield and whole farm premiums applying our empirical model to medium range weather projections under a climate change scenario for the northern great plains we infer that systemic yield correlations will increase in future years

electricity market design for facilitating the integration of wind energy experience and prospects with the australian national electricity market abstract australia has been an early and enthusiastic adopter of both electricity industry restructuring and market based environmental regulation the australian national electricity market nem was established in 1999 and australia also implemented one of the world s first renewable energy target schemes in 2001 with significant recent growth in wind generation australia provides an interesting case for assessing different approaches to facilitating wind integration into the electricity industry wind project developers in australia must assess both potential energy market and tradeable green certificate income streams when making investments wind farm energy income depends on the match of its uncertain time varying output with the regional half hourly market price a price that exhibits daily weekly and seasonal patterns and considerable uncertainty such price signals assist in driving investments that maximize project value to the electricity industry as a whole including integration costs and benefits for other participants recent nem rule changes will formally integrate wind generation in the market s scheduling processes while a centralized wind forecasting system has also been introduced this paper outlines experience to date with wind integration in the nem describes the evolution of market rules in response and assesses their possible implications for facilitating high future wind penetrations

the merit order effect of wind and photovoltaic electricity generation in germany 2008 2016 estimation and distributional implications abstract generation from renewable energy sources in germany has experienced a considerable uptake in recent years mainly responsible for this development is the german renewable energy sources act erneuerbare energien gesetz eeg this paper considers redistributive implications of the eeg for different electricity consumers using time series regression analysis we show that electricity generation by wind and pv has reduced spot market prices considerably by 6 mwh in 2010 rising to 10 mwh in 2012 we use these results to build a near term forecasting tool for merit order effects projected to reach 14 16 mwh in 2016 on the other hand the costs of the eeg are passed forward to consumers in the form of a surcharge our findings highlight significant redistributive transfers under the current design of the eeg in particular some energy intensive industries are benefiting from lower wholesale electricity prices whilst being largely exempted from contributing to the costs of the scheme we also highlight implications of our results for other areas for reform of the eeg such as adequate remuneration mechanisms that ensure efficient operation and investment decisions are made under the scheme more generally these findings suggest that policy makers need to integrate distributional assessments into policy design and implementation