This paper assesses the impact of regulatory and environmental factors and statistical noise on the efficiency of public transit
systems within a DEA-based framework. Using a panel of Italian companies, we implement a DEA-SFA mixed approach based on [H.O.
Fried et al. (2002) Journal of Productivity Analysis, 17(1–2), 157–174] to decompose DEA inefficiency measures into three components: exogenous effects, managerial inefficiency and
stochastic events. Besides providing evidence on the determinants of input-specific efficiency differentials across companies,
the results point out that managerial skills play a minor role, and emphasize the relevance of regulatory policies aimed at
replacing cost-plus subsidization with high-powered incentive contracts as well as improving environmental conditions of public
transit networks.
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This paper develops and tests a new model for multiple-unit adoptions of durable goods based on the diffusion modeling tradition. Multiple-unit adoptions are a major component of sales for many consumer durable product categories. For instance, sales of multiple-unit adoptions for televisions have been higher than both first adoptions and replacement purchases since 1977, while for automobiles, they have represented more than 20% of sales since 1966 in Australia. The structural drivers of multiple-unit adoptions are quite different from either first purchase or replacement purchase. Hence, identifying and modeling the multiple-unit component of sales is important for aggregate sales forecasts. Moreover, consumer requirements for additional units of a product are likely to be considerably different than for the other components of sales (first purchases and replacement purchases). As such, the ratio of the first, multiple, and replacement sales components will strongly influence the product mix requirements of the market.
While forecasting and influencing multiple-unit sales are an important managerial issue, very little attention has been given to multiple-unit ownership in the diffusion modeling literature. The only model available was developed for the purpose of modeling relatively short-term behavior of multiple-unit adoptions, rather than the longer-term pattern of sales. We propose a model of multiple-unit adoptions as a diffusion process.
We apply the model to both color television and automobiles. Analysis of the model's long-term fit and forecasts in these applications provide support for the structure of the new model. 相似文献
It is significant for the study on the sustainable development of regional agriculture to monitor and measurethe trend of agricultural development with an effective method. The sustainable development of regional agricultureshould accord with regional population, rural economic development, social progress, resource and environmentalsupport. This paper establishes the evaluating indicators system of sustainable development of regional agriculture,evaluates the agricultural sustainable development in Shaanxi Province with a comprehensive multi-indicator method,analyzes the support of resource and environment for regional agriculture by the resource-development index and theenvironment-development index, and gets the conclusion that the indicators, such as education level, the income gapbetween urban and rural residents, the per capita area under cultivation and the consumption of pesticides and chemicalfertilizers per hectare, are the main factors to restrict agricultural sustainability, and that the pressure of the developmentof subsystems of population, economy and society on the subsystems of resource and environment turns out to bestronger and stronger. Agricultural environment gets better, but resource becomes one of the important factors to restrictthe development of regional agriculture. In a word, this paper highlights the potentials and limitations of sustainableagriculture of Shaanxi and helps identify the development direction in the future. 相似文献