endogeneity in brand choice models applications of random utility models to scanner data have been widely presented in marketing for the last 20 years one particular problem with these applications is that they have ignored possible correlations between the independent variables in the deterministic component of utility price promotion etc and the stochastic component or error term in fact marketing mix variables such as price not only affect brand purchasing probabilities but are themselves endogenously set by marketing managers this work tests whether these endogeneity problems are important enough to warrant consideration when estimating random utility models with scanner panel data our results show that not accounting for endogeneity may result in a substantial bias in the parameter estimates

least cost 100 renewable electricity scenarios in the australian national electricity market least cost options are presented for supplying the australian national electricity market nem with 100 renewable electricity using wind photovoltaics concentrating solar thermal cst with storage hydroelectricity and biofuelled gas turbines we use a genetic algorithm and an existing simulation tool to identify the lowest cost investment and operating scenarios of renewable technologies and locations for nem regional hourly demand and observed weather in 2010 using projected technology costs for 2030 these scenarios maintain the nem reliability standard limit hydroelectricity generation to available rainfall and limit bioenergy consumption the lowest cost scenarios are dominated by wind power with smaller contributions from photovoltaics and dispatchable generation cst hydro and gas turbines the annual cost of a simplied transmission network to balance supply and demand across nem regions is a small proportion of the annual cost of the generating system annual costs are compared with a scenario where fossil fuelled power stations in the nem today are replaced with modern fossil substitutes at projected 2030 costs and a carbon price is paid on all emissions at moderate carbon prices which appear required to address climate change 100 renewable electricity would be cheaper on an annual basis than the replacement scenario

structural modeling and policy simulation a primary goal of research in marketing is to evaluate and recommend optimal policies for marketing actions or instruments in the terminology of franses 2005 in this respect marketing is a very policy oriented field and it is ironic that so much published research skirts the issue of policy evaluation franses s article draws much needed attention to the question of what sort of model is usable for policy simulation and evaluation our perspective on what constitutes a valid model for policy evaluation differs from franses s view but we believe our view complements his in many important respects we also strongly believe that marketing has much to contribute to the literature on structural modeling we outline some of what we believe are the advantages for marketing scholars of using structural modeling for policy evaluations and some of the challenges presented by marketing problems franses focuses on a reduced form sales response model in which the outcome variable yt is modeled conditional on marketing variables xt if customers anticipate future marketing actions and take these into account in responding to the environment at time t an additional equation is appended to the system to describe the evolution of the xt variables in franses s view this system can be used for policy simulation if both the y and x equations have timeinvariant parameters that is the lucas critique which implies that parameters of reduced form models change if the policy regime changes does not apply according to franses a model must pass standard diagnostics possess good predictive properties and exhibit parameter stability to be useful for policy simulation we applaud the attention franses is bringing to model diagnostics we believe that structural work in both marketing and economics should pay close attention to the central features of the data increased use of model diagnostics will help ensure that structural models are capable of capturing these features however we do not believe that all the criteria proposed by franses such as out of sample validity and parameter stability are either necessary or sufficient to render a model useful for policy simulation reduced form models can pass all diagnostics including out of sample validation and still provide misleading predictions about the effects of policy changes reduced form

modeling interdependent consumer preferences abstract a consumer s preference for an offering can be influenced by the preferences of others in many ways ranging from social identification and inclusion to the benefits of network externalities in this article the authors introduce a bayesian spatial autoregressive discrete choice model to study the preference interdependence among individual consumers the autoregressive specification can reflect patterns of heterogeneity in which influence propagates within and across networks these patterns cannot be modeled with standard random effect specifications and can be difficult to capture with covariates in a linear model the authors illustrate their model of interdependent preferences with data on automobile purchases and show that preferences for japanese made cars are related to geographically and demographically defined networks

refined oil import subsidies removal in ghana a triple win abstract in this study claims and counterclaims that fossil fuel subsidies removal yields benefits in terms of budget deficits energy efficiency and mitigation are assessed in order to do this a global computable general equilibrium cge model has been estimated to evaluate the impact of subsidies removal on imported refined oil in ghana on prices carbon dioxide co 2 emissions households demand firm s production and real gdp the simulation experiment points to evidence that subsidy removal raises prices increases the rate of co 2 emissions reduces households demand reduces aggregate output and affects various sectors differently the increased rate of co 2 emissions due to the removal of subsidies is indicative of the existence of the so called green paradox these results underscore the fact that a removal of subsidies on fossil fuels may win in some regards but fail in others a general implication from the applied model therefore is one which supports the assertion that removal of subsidies on fossil fuels removal on energy should be implemented along with policies aimed at stimulating economic activities and reducing the level of co 2 emissions especially where there is evidence of the green paradox

estimates of energy subsidies in china and impact of energy subsidy reform abstract for a transitional economy such as china some energy subsidies are reasonable and sometimes even necessary for achieving social goals however with rising energy prices and environmental concerns we see conflicts emerging between energy subsidies energy demand supply fundamentals and climate change considerations energy subsidies have important implications for sustainable development through their effects on energy use efficiency and the choice of fuel source this paper applies the price gap approach to estimate china s energy subsidies results indicate that china s energy subsidies amounted to cny 356 73 billion in 2007 equivalent to 1 43 of gdp subsidies for oil products consumption are the largest followed by subsidies for the electricity and coal sectors furthermore a cge model is used to analyze the economic impacts of energy subsidy reforms our findings show that removing energy subsidies will result in a significant fall in energy demand and emissions but will have negative impacts on macroeconomic variables we conclude that offsetting policies could be adopted such that certain shares of these subsidies are reallocated to support other sustainable development measures which could lead to reducing energy intensity and favoring the environment

improving australia s renewable energy project policy and planning a multiple stakeholder analysis abstract renewable energy re is part of australia s and the world s energy supply matrix with over a 100 billion spent annually on re projects since 2007 businesses seeking to invest in re projects particularly in the wind and solar energy sectors may face an onerous collection of planning approvals and permitting processes that impede investment and implementation in this study we draw on international and domestic stakeholder inputs to a governmental inquiry in australia to show how re projects might be approved in shortened timeframes with reduced associated costs the process mapping and stakeholder analysis demonstrates that re supply projects can benefit from standardized approval processes and documentation a 360 deep engagement with stakeholders and expanded electricity grid access in resource areas augmented through supportive public policy and planning frameworks in addition stakeholder objections to project approval and implementation streamlining were used to contrast the efficacy of the proposed changes in policy

nonconventional renewable energy governance in brazil lessons to learn from the german experience abstract this paper presents a comparative analysis of energy governance regarding nonconventional renewable energy sources ncres in brazil and germany brazil is a world leader in the use of conventional renewable energy sources such as hydro power while germany has been achieving outstanding results in fostering ncres the focus is on two critical issues the legal and regulatory framework and the institutions created to support the ncres market development the comparison shows that despite the very different energy situations and policy drivers valuables lessons can be extracted from the german experience the main lesson for brazil is to think ncres as a strategic opportunity to rely less on fossil fuel and large hydroelectric power plants to decentralize the electric power sector to use the huge solar biomass and wind power potential available in the country and to create a environment friendly ncres industry to this end three critical points were identified 1 the legal and regulatory framework should be improved 2 long term energy planning taking into account social economic and climate issues and 3 the current institutions supporting ncres in brazil should be upgraded and or new ones such as more specific energy agencies should be created

complexity effects in choice experiment based models abstract many firms rely on choice experiment based models to evaluate future marketing actions under various market conditions this research investigates choice complexity i e number of alternatives number of attributes and utility similarity between the most attractive alternatives and individual differences in decision time as key factors that affect the predictive performance of models based on choice experiments both within and between complexity conditions the results show that complexity and individual decision time not only affect the error in consumer choice models but also consumers decision strategy and systematic utilities the authors introduce a complexity adjusted mixed logit cam logit model to capture the various influences of complexity in choice experiment based models they illustrate the consequences of complexity on choice behavior with market share predictions of the cam logit model for different complexity conditions

choice map inferring a product market map from panel data this paper describes choice map a model that infers a product market map from panel data choice map is a stochastic brand choice model a random utility quantal choice model and a multidimensional scaling procedure choice map combines the parsimony of stochastic choice models the rationale of random utility models and the ability of multidimensional scaling procedures to simultaneously infer both brand positions and consumer preferences from preference choice data choice map assumes that consumers have stationary purchase probabilities for the observational period which makes the model best suited to frequently bought mature product categories neither experimental nor survey data are required traditional mapping methods that scale such data may not yield the same structure for low involvement products as will a procedure like choice map that scales behavioral data choice map s descriptive and predictive validity exceeds that of an alternative stochastic brand choice model the dirichlet multinomial for a test data set

mobile money in tanzania in developing countries mobile telecom networks have emerged as major providers of financial services bypassing the sparse retail networks of traditional banks we analyze a large individual level data set of mobile money transactions in tanzania to provide evidence of the impact of mobile money on alleviating financial exclusion in developing countries we identify three types of transactions i money transfers to others ii short distance money self transportation and iii money storage for short to medium periods of time we utilize a natural experiment of an unanticipated increase in transaction fees to identify the demand for these transactions using the demand estimates we find that the willingness to pay to avoid walking with cash an extra kilometer short distance self transportation and to avoid storing money at home money storage for an extra day are 1 25 and 0 8 of an average transaction respectively which demonstrates that mobile money ameliorates significant amounts of crime

measuring market power in the ready to eat cereal industry the ready to eat cereal industry is characterized by high concentration high price cost margins large advertising to sales ratios and numerous introductions of new products previous researchers have concluded that the ready to eat cereal industry is a classic example of an industry with nearly collusive pricing behavior and intense nonprice competition this paper empirically examines this conclusion in particular i estimate price cost margins but more importantly i am able empirically to separate these margins into three sources i that which is due to product differentiation ii that which is due to multi product firm pricing and iii that due to potential price collusion the results suggest that given the demand for different brands of cereal the first two effects explain most of the observed price cost margins i conclude that prices in the industry are consistent with noncollusive pricing behavior despite the high price cost margins leading firms are able to maintain a portfolio of differentiated products and influence the perceived product quality it is these two factors that lead to high price cost margins

market roll out and retailer adoption for new brands this paper proposes a descriptive model of the spatial and temporal evolution of retail distribution for new packaged goods the distribution model postulates separate processes for local market entry by manufacturers and adoption by retailers given entry of special interest is whether retail adoption occurs along a competitive network with retailers as nodes and overlapping trade areas of these retailers as links the model is calibrated on data covering the introduction of two very successful new brands in the frozen pizza category for these brands manufacturers sequentially enter markets based on spatial proximity to markets already entered spatial evolution and on whether chains in these markets adopted previously elsewhere market selection a retail chain adopts new brands based on the adoption timing of competing chains within its trade territory competitive contagion and on the fraction of its trade area in which the new brand is available trade area coverage the effects of market selection and of trade area coverage create dependencies between market entry and retail adoption because of these dependencies the attraction of a particular market as a lead market depends on its location in the geographic structure of the u s retail trade

the sense and non sense of holdout sample validation in the presence of endogeneity market response models based on field generated data need to address potential endogeneity in the regressors to obtain consistent parameter estimates another requirement is that market response models predict well in a holdout sample with both requirements combined it may seem reasonable to subject an endogeneity corrected model to a holdout prediction task and this is quite common in the academic marketing literature one may be inclined to expect that the consistent parameter estimates obtained via instrumental variables iv estimation predict better than the biased ordinary least squares ols estimates this paper shows that this expectation is incorrect that is if the holdout sample is similar to the estimation sample so that the regressors are endogenous in both samples holdout sample validation favors regression estimates that are not corrected for endogeneity i e ols over estimates that are corrected for endogeneity i e iv estimation we also discuss ways in which holdout samples may be used sensibly in the presence of endogeneity a key takeaway is that if consistent parameter estimates are the primary model objective the model should be validated with an exogenous rather than endogenous holdout sample

unobserved retailer behavior in multimarket data joint spatial dependence in market shares and promotion variables marketing scholars and practitioners frequently infer market responses from cross sectional or pooled cross section by time data such cases occur especially when historical data are either absent or are not representative of the current market situation we argue that inferring market responses using cross sections of multimarket data may in some cases be misleading because these data also reflect unobserved actions by retailers for example because the opportunity costs of doing so do not outweigh the gains retailers are predisposed against promoting small share brands as a consequence local prices and promotion variables depend on local market shares the higher the local share the higher the local observed promotion intensity we refer to this reverse causation as an endogeneity ignoring it will inflate response estimates because both the promotion effects on share as well as the reverse effects are in the same direction in this paper we propose a solution to this inference problem using the fact that retailers have trade territories consisting of multiple contiguous markets this implies that the unobserved actions of retailers cause a measurable spatial dependence among the marketing variables the intuition behind our approach is that by accounting for this spatial dependence we account for the effects of the retailer s behavior in this context our study hopes to make the following contributions at the core of which lies the above intuition first we separate the market response effect from the reverse retailer effect by computing responses to price and promotion net of any spatial and therefore retailer influence second underlying this approach is a new variance decomposition model for data with a panel structure this model allows to test for endogeneity of prices and promotion variables in the cross sectional dimension of the data this test aims to complement the one developed by villas boas and winer 1999 who test for endogeneity along the temporal dimension third to illustrate the approach we use information resources inc iri market share data for brands in two mature and relatively undifferentiated product categories across 64 iri markets whereas we only use data with very short time horizons to estimate price and promotion responses with the spatial model we do have data over long time windows we use the latter to validate the approach specifically within market estimates of price and promotion response are not subject to the same endogeneity because we hold the set of retailers constant therefore comparing within and across market estimates of price and promotion responses is a natural way to validate the approach consistent with our argument ignoring the reverse causation in the cross sectional data leads to inferences of price and promotion elasticities that are farther away from zero than the elasticities obtained from within market analysis in contrast cross sectional spatial estimates and time series estimates show convergent validity from a practical point of view this means it is possible to obtain reasonable within market estimates of price and promotion elasticities from predominantly cross sectional data this may benefit marketing managers the manager who would act on the inflated elasticities will over allocate marketing resources to promotions because she ignores retailers censorship of promotions on the basis of already existing high share we explore other approaches to correct for the inference bias and discuss further managerial issues and future research

supply chain performance anomalies fairness concerns under private cost information abstract this work investigates how fairness concerns influence supply chain decision making while examining the effect of private production cost information and touching on issues related to bounded rationality we conduct laboratory work utilizing a supply chain dyad with an upstream supplier feeding a downstream retailer under a simple wholesale price contract we perform human computer h c experiments where human subjects play the role of the supplier paired with the computerized retailer as well as human human h h experiments where human subjects play the role of both supplier and retailer these experiments allow us to isolate other effects like bounded rationality from the effects of fairness concerns on supply chain decision making we find that compared to standard analytical model the bounded rationality slightly reduces overall supply chain profit without changing its distribution between the supplier and the retailer while fairness concerns lead to greater supply chain profits and a more balanced supply chain profit distribution we further illustrate that under private cost information the retailer s fairness concern is suppressed by the lack of reciprocity from not being able to observe her rival s profit information but that the supplier s fairness concern from altruism persists based on our experimental results we modify classical supply chain models to include utility functions that incorporate both bounded rationality and fairness concerns the estimated other regarding coefficients are significantly lower under private information than under public information for the h h experiments and we find no evidence of inequity aversion for the h c experiments

the economics of climate change and the theory of discounting this paper confronts the theory of discounting with climate change economics standard discounting would give long term damages a very low present value on the other hand low discount rates would imply more sacrifices for present generations although future generations may be richer and using multiple rates would lead to economic inefficiencies the paper first shows that arguments favouring a low or zero discount rate in general are weak even from an ethical point of view it goes on by considering different arguments in favour of discount rates decreasing over time and by recalling the argument that non reproducible environmental assets should be given a value growing over time through the example of climate change it finally shows that the latter argument not only implies that the costs of damages associated to climate change should not be underestimated but also reinforce the legitimacy of using decreasing discount rates

diagnostics expectations and endogeneity abstract marketing models are often intended to guide managers to make decisions in this rejoinder the author reviews three questions that must be addressed before a model can be established as useful for policy analysis

a dynamic analysis of market structure based on panel data internal market structure analysis infers brand positions in an attribute space from preference and choice data given a market in which consumers have heterogeneous tastes for attributes previous market structure models have adopted a static framework e g elrod 1988 chintagunta 1994 elrod and keane 1995 furthermore they assumed that consumer perceptions of brand attributes do not vary across consumers yet these approaches may render inaccurate representations of market structure if there is state dependence in consumer choice behavior this paper attempts to incorporate consumer choice dynamics into market structure models by specifying the source of choice dynamics explicitly in particular the process by which past purchases affect current choices is modeled in a framework which captures both consumer habit persistence and variety seeking behavior more specifically consumer preferences for brand attributes are modeled to depend on the attributes of brands bought on the previous purchase occasion furthermore the modeling approach adopted incorporates heterogeneity in both consumer preferences and perceptions of brand attributes the audience of this paper includes practitioners and academics interested in understanding consumer choice processes and inferring market structure from consumer choice data the proposed models are estimated on nielsen scanner panel data for margarine peanut butter yogurt and liquid detergent using simulated maximum likelihood techniques the empirical results suggest that accounting for choice dynamics improves both in sample and out of sample fit the results indicate that the average consumer is habit persistent in all the product categories studied this result is consistent with the findings of kannan and sanchez 1994 who conducted an aggregate analysis of consumer variety seeking behavior across product categories however the results obtained in this paper suggest that consumers are heterogeneous with respect to the processes by which past purchases affect current purchases these results provide strong evidence for habit persistence and variety seeking in brand attributes to be the behavioral source of consumer choice dynamics in food categories thus consumer tastes utility weights seem to be affected by the attributes of the brands consumed in the past given the empirical result that a large proportion of consumers are habit persistent this suggests that tastes are reinforced by the brand attributes consumed in the past the empirical results also show that not accounting for state dependence in market structure models for panel data may produce misleading results that is depending on consumer behavior patterns models that do not account for state dependence may distort the true nature of competition among brands more specifically the results confirm the expectation that if there is habit persistence that is if consumer tastes are reinforced by attributes of brands consumed in the past models that do not capture this choice dynamics will overestimate the distance between similar brands furthermore the policy experiments conducted suggest that 1 static models overestimate the short run impact of a price cut on the sales of the brand on promotion 2 price cuts hurt the sales of the more similar brands more and 3 free samples affect relatively less similar brands the most finally this paper studies variety seeking and habit persistence across brands over purchase occasions however variety seeking behavior may also involve the purchase of a portfolio of brands or items at a purchase occasion consumers may buy multiple items knowing that prior to the next trip they may want to consume different items simanson 1990 walsh 1995 this type of behavior can be modeled within the context of dynamic expected utility maximization with forward looking consumers the development and estimation of market structure models that include forward looking consumers who maximize expected utility over a planning horizon incorporating their future tastes and needs and shopping for an inventory of brands remain an important future research issue

logit demand estimation under competitive pricing behavior an equilibrium framework discrete choice models of demand have typically been estimated assuming that prices are exogenous since unobservable to the researcher product attributes such as coupon availability may impact consumer utility as well as price setting by firms we treat prices as endogenous specifically prices are assumed to be the equilibrium outcomes of nash competition among manufacturers and retailers to empirically validate the assumptions we estimate logit demand systems jointly with equilibrium pricing equations for two product categories using retail scanner data and cost data on factor prices in each category we find statistical evidence of price endogeneity we also find that the estimates of the price response parameter and the brand specific constants are generally biased downward when the endogeneity of prices is ignored our framework provides explicit estimates of the value created by a brand i e the difference between consumers willingness to pay for a brand and its cost of production we develop theoretical propositions about the relationship between value creation and competitive advantage for logit demand systems and use our empirical results to illustrate how firms use alternative value creation strategies to accomplish competitive advantage

differences in dynamic brand competition across markets an empirical analysis we investigate differences in the dynamics of marketing decisions across geographic markets empirically we begin with a linear quadratic game involving forward looking firms competing on prices and advertising based on the corresponding markov perfect equilibrium we propose estimable econometric equations for demand and marketing policy our model allows us to measure empirically the strategic response of competitors along with economic measures such as firm profitability we use a rich dataset that combines sales marketing mix factor cost and advertising cost data for eighteen geographic markets in the frozen entree category we find that larger markets tend to be less price sensitive and more profitable than smaller markets we also find evidence of positive carryover of own advertising on own demand in terms of consumer substitution patterns we find that the role of advertising in our data seems to be more category building complementary than share stealing competitive the complementary role is stronger in larger markets on the supply side we find that firms make smaller adjustments to own advertising as goodwill goes up consistent with cross advertising effects on demand firms make smaller larger adjustments to advertising in response to competitive goodwill in the less competitive larger in the more competitive smaller markets finally we find that consumer welfare decreases increases in larger smaller markets when firms move to a zero advertising regime

opec how to transition from black to green gold global discussions on the reduction of co2 emissions and the increasing interest in alternative energy sources and production technologies have started to concern oil exporting nations international discussions on projects such as desert tec might also have sparked their interest to explore a possible diversification of their energy resource production portfolio however extremely low in country retail prices of fossil fuels to date present a significant economic hurdle to such developments this paper uses a formal model setup accompanied by intuitive graphical illustrations as well as a numerical example to analyze fossil fuel abundant nations potential to transition to a supplier of renewable energy as well as possible pitfalls resulting from their status quo situation

commercial use of upc scanner data industry and academic perspectives the authors report the findings from an exploratory investigation of the use of upc scanner data in the consumer packaged goods industry in the u s the study examines the practitioner community s view of the use of scanner data and compares these views with academic research forty one executives from ten data suppliers packaged goods manufacturers and consulting firms participated in wide ranging in person interviews conducted by the authors the interviews sought to uncover key questions practitioners would like to answer with scanner data how scanner data is applied to these questions and the industry s perspective regarding the success that the use of scanner data has had in each area the authors then compare and contrast practitioners views regarding the resolution of each issue with academic research this produces a 2 2 classification of each question as resolved or unresolved from the perspectives of industry and academia along the diagonal of the 2 2 issues viewed as unresolved by both groups are important topics for future research issues deemed resolved by both groups are correspondingly of lower priority in the off diagonal cells industry and academics disagree these topics should be given priority for discussion information exchange and possible further research practitioners reported that scanner data analysis has had the most success and been most widely adopted for decision making in consumer promotions i e coupons trade promotions and pricing for example logit and regression models applied to scanner data have revealed very low average consumer response to coupons which has directly led to reduced couponing activity managers also reported high levels of comfort with and impact from analyses of trade promotions and price elasticities while industry views most of the issues in these areas to be resolved academic research raises concerns about a number of practices in common commercial use these include price threshold analysis and trade promotion evaluation using baseline and incremental sales in product strategy advertising and distribution management practitioners reported that the use of scanner data has had more limited development success and impact in the case of new product decisions scanner data use has been slow to develop due to the inherent limitations of historicaldata for these decisions and a heavy reliance on traditional primary research methods in advertising scanner data is widely analyzed with models but confusion among practitioners is very high due to controversies about methods e g what level of data aggregation is best and conflicting results in distribution and retail management scanner data use has tremendous potential but a mixed track record to date thus practitioners view the use of scanner data as unresolved for most issues in product strategy advertising and distribution this view is largely though not entirely consistent with academic research which has only begun to address many of the key questions raised by practitioners in light of the large number of unresolved issues and mixed record of scanner data use to date the authors offer aseries of specific recommendations for immediate and long term research priorities that are likely to have the greatest impact on commercial utilization of upc scanner data topics of immediate priority include price thresholds and gaps baseline and incremental sales base price elasticity competitive reactions measurement of advertising effects management of brand equity rationalization of product assortments and category management long term priorities include a greater emphasis on profitability versus sales or market share developing prescriptive models versus descriptive models and the need for industry standards

the role of spatial demand on outlet location and pricing abstract in this article the authors consider the problem of outlet pricing and location in the context of unobserved spatial demand the analysis constitutes a scenario in which capacity constrained firms set prices conditional on their location demand and costs this enables firms to develop maps of latent demand patterns across the market in which they compete the analysis further suggests locations for additional outlets and the resultant equilibrium effect on profits and prices using bayesian spatial statistics the authors apply their model to seven years of data on apartment location and prices in roanoke va they find that spatial covariation in demand is material in outlet choice the 95 spatial decay in demand extends 3 6 miles in a region that measures slightly more than 9 5 miles they also find that capacity constraints can cost complexes upward of 100 per apartment as they predict price elasticities and costs are biased downward when spatial covariance in demand is ignored costs a

financial subsidies to the australian fossil fuel industry abstract a common claim during international greenhouse gas reduction negotiations has been that domestic emissions cuts will harm national economies this argument fails to consider the distorting effect of existing financial subsidies and associated incentives to fossil fuel production and consumption provided by governments in most developed countries these subsidies support a fossil fuel energy sector that is the major contributor to global greenhouse gas emissions and conflict with attempts to expand the role of sustainable energy technologies reform of these types of subsidies has the potential to provide substantial gains in economic efficiency as well as reductions in carbon dioxide emissions a no regrets outcome for the economy and the environment this paper examines financial subsidies to fossil fuel production and consumption in australia and estimates the magnitude of the subsidies subsidies and associated incentives to fossil fuel production and consumption in australia are similar to those in the united states and the other countries that have pushed for increased flexibility during international negotiations

channel pass through of trade promotions packaged goods manufacturers spend in excess of 75 billion annually on trade promotions even though their effectiveness has been hotly debated by academics and practitioners for decades one reason for this ongoing debate is that empirical research has been limited mostly to case studies managerial surveys and data from one or two supermarket chains in a single market in this paper we assemble a unique data set containing information on prices quantities and promotions throughout the entire channel in a category our study extends the empirical literature on pass through in three important ways first we investigate how pass through varies across more than 1 000 retailers in over 30 states second we study pass through at multiple levels of the distribution channel third we show how the use of accounting metrics such as average acquisition cost rather than transaction cost yields biased estimates of pass through and therefore overstates the effectiveness of trade promotions we find that mean pass through elasticities are 0 71 0 59 and 0 41 for the wholesaler retailer and total channel respectively more importantly at each level of the channel we observe large variances in pass through estimates that we explain using various measures of cost and competition surprisingly we find that market structure and competition have a relatively small impact on pass through we conclude by showing how the profitability of manufacturer and wholesaler deals can be improved by utilizing detailed effectiveness estimates for example a manufacturer using an inclusive trade promotion strategy might offer a 10 off invoice deal to all retailers on every product this strategy would decrease manufacturer and wholesaler profits for 56 of product store combinations whereas retailers experience a profit boost in 96 of cases manufacturers and wholesalers can avoid unprofitable trade deals for specific products and retailers by utilizing estimates of pass through consumer price elasticity and margins compared to the inclusive strategy such a selective trade promotion strategy would improve deal profitability by 80 and reduce costs by 40

comparing climate policies to reduce carbon emissions in china new huadu business school research fund national social science foundation of china 12zd059 shandong social science planning fund program 12djjj12 independent innovation foundation of shandong university iifsdu 2012gn038 ministry of education research of social sciences china postdoctoral science foundation 2013m530309