This paper uses unpublished retailer-level microdata underlying UK consumer price indices to investigate price rigidity. Based on the conventional method, little rigidity is found in frequency of price change, since the implied price duration is only 5.5 months. However, it significantly...

Regional energy plans play a significant role in promoting the sustainable development of different regions in China. Most regions of China have formulated their energy plans. Selecting a reasonable sustainable energy plan is complex and involves a number of interactive criteria (e.g....

This paper proposes a non-radial Malmquist CO2 emission performance index (NMCPI) for measuring dynamic changes in total-factor CO2 emission performance over time. This index enables the consideration of non-radial slacks in the conventional Malmquist CO2 emission index (MCPI). The NMCPI is...

This study proposes a policy evaluation model from the perspective of government and investors. The proposed model, which integrates American option method and two-factor learning curve method, can be used to evaluate the unit decision value and save-path rate for renewable energy development...

The decision on the location of a straw-based power generation plant has a great influence on the plant’s operation and performance. This study explores traditional theories for site selection. Using integer programming, the study optimizes the economic and carbon emission outcomes of...

A logistic growth model driven by additive and multiplicative noises which are correlated with each other is investigated. Using the Novikov theorem and the projection operator method, we obtain the analytic expressions of the stationary probability distribution pst(x), the relaxation time Tc,...

We use available methods for testing macro models to evaluate a model of China over the period from Deng Xiaoping's reforms up until the crisis period. Bayesian ranking methods are heavily influenced by controversial priors on the degree of price/wage rigidity. When the overall models are tested...

Out-of-sample forecasting tests of DSGE models against time-series benchmarks such as an unrestricted VAR are increasingly used to check a) the specification b) the forecasting capacity of these models. We carry out a Monte Carlo experiment on a widely-used DSGE model to investigate the power of...

We use available methods for testing macro models to evaluate a model of China over the period from Deng Xiaoping's reforms up until the crisis period. Bayesian ranking methods are heavily influenced by controversial priors on the degree of price/wage rigidity. When the overall models are tested...

Purpose This paper aims to develop a robot for tightening charged bolt to solve the shortcomings of high labor intensity, low efficiency, high risk and poor reliability in artificially tightening drainage board bolt of strain clamp for high voltage transmission line. Realizing bolt-nut capture...