First, it appears as an argument in the production function, playing the role of a factor input, thereby positively influencing the marginal productivity of capital, and the level of output. Output can be consumed, used for abatement, or invested to earn returns in the future. Hence via ...
aif private players don't get sufficient incentive for the goods they are producing, there will be under allocation of resources or under production or it can be understood as they will produce less than the socially optimal output( the output which is ideal for society) because private producer...
This confirms the general intuition given by Mankiw and Whinston, which does not rely on the convexity of the cost function. The same result is shown to extend (at a similar level of generality) to the comparison between free entry and the first best socially optimal solution, irrespective of...
A traditional MDP is used to generate this global plan, that includes a scalar value (\(V_{Global}\)) and optimal action or policy(\(\Pi _{Global}\)) for every free cell in the map without accounting for dynamic objects, such as humans, and local errors in the map (shown in Fig...
Johnston FD, Arlinghaus R, Dieckmann U (2010) Diversity and complexity of angler behaviour drive socially optimal input and output regulations in a bioeconomic recreational-fisheries model. Can J Fish Aquat Sci 67:1507-1531Johnston, F.D., Arlinghaus, R., Dieckmann, U., 2010. Diversity and ...
Canadian Journal of Fisheries and Aquatic SciencesJohnston, F., Arlinghaus, R. and Dieckmann, U. (2010) Diversity and complexity of angler behaviour drive socially optimal input and output regulations in a bioeconomic recreational fisheries model. Canadian Journal of Fisheries and Aquatic Sciences 67...
The paper suggests that an optimal agricultural policy choice would be to taxing not only the flow of contaminants, but also the efforts.doi:10.1007/s40953-015-0005-4Yousafzai, Tufail KhanCrawford School of Public Policy, The Australian National University, Canberra, ACT, 0200, Australia;Kali...
First, the space is explored and dynamically divided into a set of channels using a local segment of the global path. The optimal channel is found using a fuzzy cost model, and its center line provides the goal path to the local navigation module. To convey a human-like steering behavior,...
These profiles are achieved by changing the motion phases 𝑢𝑘=[𝑎𝑘,𝑡𝑘]uk=ak,tk by altering the values of the accelerations 𝑎𝑘ak as well as the durations 𝑡𝑘tk such that generating a trajectory to cover a given distance amounts to searching for their optimal values. ...
For tracking time-variant states, optimal Bayes filters dominate the literature [14]. Especially, the Kalman filter and its derivatives Extended Kalman filter (EKF) and Unscented Kalman filter (UKF) can be found in almost every tracking approach for robotic applications. Hence, our implementation ...