This paper, based on 13 listed water utilities companies' performance from 2012 to 2014, establishes DEA model to analyze their technical and scale validation and to evaluate their performance. Results show that Yangchen B, Jiangnan Water, Guozhong Water and Jinlong are of higher technical and scale efficiency, an effective DEA; Chongqing Water, Chuangye Environmental Protection, Hongcheng Water and Shouchuang are high in pure technical efficiency but low in scale efficiency; Xianglong Electrics and Qianjiang Water are high in scale efficiency but low in pure technical efficiency; Hanlan Environment, Wuhan Holdings, and Zhongshan Public are low in both. This paper presents suggestions for listed water utilities companies in boosting internal management, increasing operation efficiency, intensifying industrial advantages and promoting competitiveness based on leading business.
This paper reviews references regarding the concept, source and measurement model of scope economy, and presents references for case study and theoretical and model innovation. Scope economy refers to enterprises, based on their existing resources, which provide products or services through cooperation or synergism to increase their operating efficiency or benefits. It in practice is to enlarge product margin while to reduce its cost, a rising marginal benefit. Scope economy is mainly used in enterprises vertical integration, diversified operations, products cost complementation, brand effect and mutual sales channels. Scope economy model can be measured through parameters or nonparameters. In the case of multiinput and output, nonparameter measurement is more accurate than parameters measurement. Parameters measurement uses transcendental logarithmic cost function, generalized transcendental logarithmic cost function, composite cost function and quadratic cost function. Nonparameter measurement uses DEA and linear planning.
This paper, based on China's 29 cities' panel data, uses DEA model, at the constant scale benefits, to measure China's total factors energy efficiency under environmental constraints from 1995—2013. The result shows a declining trend from the east to the west and a rising regional gap. Foreign direct investment, GDP per capita and industrial structure have a positive influence on energy efficiency, but the capital per capita, coal consumption and governmental interference are negative. From the view of region, each factor is different in 〖JP3〗influence direction and intensity on energy efficiency in different regions. Capita per capita and coal consumption are negative and GDP per capita is positive. Industrial structure is outstanding positive in the eastern China, not outstanding in the central and western China. Foreign direct investment is not outstanding in the eastern China, outstanding positive in the central, negative in the western. Governmental interference is outstanding negative in the eastern and central, not outstanding in the western.
This paper, based on Shandong's 17 prefectures panel data from 2007—2014, uses supper efficiency DEA model of modified variable scale pay to calculate their total factors energy efficiency under the constraint of environment, and applies Tobit model to analyze the influence of industrial structure, energy consumption structure, technical innovation and foreign trade on the entire Shandong province and its prefectures. From 2007—2014 Shandong's total factors energy efficiency shows a rising trend, but largely different among its prefectures, with a room for saving energy and reducing emission. Industrial structure and energy consumption structure are outstandingly negatively influencing the total factors energy efficiency, while technical innovation and foreign trade are not. Each factor in influence varies with regions. This paper presents suggestions for Shandong province increasing total factors energy efficiency from optimizing industrial structure and energy consumption structure, controlling energy consumption intensity and volume, using advantage of coastal locality to carry out active opening strategy, promoting technical innovation and realizing a synchronized development.
This paper analyzes the motivation and pattern of securitization of mineral resources in Shaanxi province, aiming at widening financing channels and promoting a healthy development of Shaanxis mining economy. Securitization of mineral resources can convert Shaanxis mineral resource advantages to capital advantages, and reach a multiple win stage with a united ecological, economic and social benefit. It is a financial innovation in mining economy and can help Shaanxi carry out the vital role during “the Belt and Road” strategy. The pattern of securitization of mineral resources can ben classified as three, listed mining company to issue shares, mining rights mortgage securitization and mining right asset securitization. Aiming at those who do not resolve their shortage of capital through issuing shares among Shaanxis mining companies, this paper, by referring to the mature securitization mode of housing mortgage loan, presents the definition and operational flowchart of mining rights mortgage loan securitization, and that of mining right asset securitization on the basis of connotation of asset securitization.
