The agricultural value of El Nino-Southern Oscillation (ENSO) phase knowledge is measured in a value-of-information framework using economic models. We examine the value of considering the full distribution of ENSO phase strength effects as opposed to average ENSO phase strength effects, as well...

A panel dataset of 29 provinces in China is used to analyze the productivity growth in China's agricultural sector over the period 1990-2003. We compute the output-oriented Malmquist productivity indexes and their decomposition using a sequential data envelopment analysis approach. The results...

The purpose of this study is to evaluate the economic and environmental impacts of planting energy crop on set-aside acreages in Taiwan. To do so, a Taiwan Agricultural Sector Model (TASM) was built and the data parameters of energy crop were incorporated into this model in order to simulate the...

The world is moving toward efforts to reduce greenhouse gas emissions. Net emission reduction efforts may involve the agricultural sector through options such as planting of trees, crop and livestock management changes, and production of biofuels. However, such options can be competitive with...

Purpose – The purpose of this paper is to assess the degree of tariff escalation in Taiwan's agriculture-related commodities and the economy-wide impact of tariff harmonization. Design/methodology/approach – A computable general equilibrium model of the Taiwan economy is applied to simulate...

The purpose of this paper is to estimate the potential market price for the transfer of water among sectors in the Northern Taiwan region. This region is the major semiconductor and information technology product manufacturing area in Taiwan and plays an important role in contributing to...

This paper analyzes two indexes in order to capture the volatility inherent in El Niños Southern Oscillations (ENSO), develops the relationship between the strength of ENSO and greenhouse gas emissions, which increase as the economy grows, with carbon dioxide being the major greenhouse gas, and...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, ARDL model, and alternative volatility models, including GARCH, EGARCH, and GJR models, are used to...

The two-stage least squares approach together with quantile regression analysis is adopted here to estimate the educational production function. Such a methodology is able to capture the extreme behaviors of the two tails of students' performance and the estimation outcomes have important policy...

The purpose of this paper is to employ the quantile regression methodology to investigate the relationship between government size and economic growth using a panel data set for 24 OECD countries. We find that the magnitude of the effect of government size on economic growth varies through the...