This paper examines the impact of consumer learning behavior on the rising bottled water consumption. Consumers are assumed with initial prior beliefs about the distribution of health effect of beverages and update their beliefs using health information in a Baysian manner. We find that the...

Beginning with several basic hypotheses of quantum mechanics, we give a new quantum model in econophysics. In this model, we define wave functions and operators of the stock market to establish the Schr\"odinger equation for the stock price. Based on this theoretical framework, an example of a...

Using a random coefficient discrete choice model, this paper distinguishes between sales and excise taxes and compares their effectiveness on reducing carbonated soft drink (CSD) consumption. Estimation results show that the magnitude of tax elasticity of demand is much smaller than own price...

This study examines how brand values of different carbonated soft drink (CSD) products change over time and how advertising and social media exposure contribute to brand building. The model consists of two stages. In the first stage, we adopt a structural approach to estimate the brand equities...

Beginning with several basic hypotheses of quantum mechanics, we give a new quantum model in econophysics. In this model, we define wave functions and operators of the stock market to establish the Schrödinger equation for stock price. Based on this theoretical framework, an example of a driven...

Taking the underlying technology heterogeneity into account, this paper uses a nonparametric metafrontier approach to estimate the CO2 emission efficiency and the potential emission reduction of China’s 30 provinces for the period 2006–2010. The sources of the potential emission reduction...

In this paper, we consider a class of mathematical programs governed by second-order cone constrained parameterized generalized equations. We reformulate the necessary optimality conditions as a system of nonsmooth equations under linear independence constraint qualification and the strict...

The focus of this paper is on studying an inverse second-order cone quadratic programming problem, in which the parameters in the objective function need to be adjusted as little as possible so that a known feasible solution becomes the optimal one. We formulate this problem as a minimization...

In this paper we develop the convex analytic approach to a discounted discrete-time Markov decision process (DTMDP) in Borel state and action spaces with N constraints. Unlike the classic discounted models, we allow a non-constant discount factor. After defining and characterizing the...