To reduce the level of pollution emitted by firms in an industry, the government could use a cap and trade policy or a carbon tax. which of the following is true?

a. the quanitity of the good sold will fall under either policy but there will be no change in the price of the good
b. the quantity of the good sold will fall with the carbon tax policy but not with the cap and trade policy
c. the price of the good sold will rise under either policy but there will be no change in the level of production
d. the price of the good sold will rise under either policy and there will be a reduction in the level of production
e. the price of the good sold will rise with the carbon tax policy but not with the cap and trade policy

Need with my trade theory homework. i doubt what i wrote was right. consider a monopolistically competitive market for soft drinks in which n symmetric firms face the following demand function: q=s(1/n-b(p-(p with the straight line on which implies the marginal revenue functionmr=p-(q/sb)finally, suppose firms face the total cost functiontc=900,000+100qsuppose the market size, s, is 27,000,000, and the elasticity parameter b is 0.003.diagram the price and the average total cost in the market as a function of the number of firms. what are the equations for each curve, and why does each curve slope up or down? label the equilibrium number of firms and the equilibrium price in the diagram. why is this the equilibrium?

Keshawn used to work for an it company in baltimore, but lost his job when his company decided to use workers in new delhi instead. this is an example of:

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .