从"治沙"论可持续发展

沙尘暴是人类破坏了植被引起的。在治沙中,经历着一场从“人定胜沙”到“人退沙退”的治沙策略改变。如今“沙尘暴”的卷土重来,使人们看到“可持续发展”的发展观势在必行。     

Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities

This paper studies the use of DEA (data envelopment analysis) as a tool for possible use in evaluating and planning the economic performance of China's cities (28 in all) which play a critical role in the government's program of economic development. DEA promises advantages which include the absence of any need for the assignment of weights on an a priori basis (to reflect the supposed relative importance of various outputs or inputs) when evaluating technical efficiency. It is also unnecessary to explicitly specify underlying functions that are intended to prescribe the analytical form of the relations between inputs and outputs. Finally, as is illustrated in the paper, DEA can be used to identify sources, and estimate amounts of inefficiencies in each city's performance as well as to identify returns-to-scale possibilities in ways that seem well-suited to the mixture of centralized and decentralized planning and performance that China is currently trying to use.     

外商投资企业分支机构的税收问题亟待解决

笔　 者对保定市2 9 家外商投 　 资企业分支机构进行了专项调查,发现在其税收征管方面存在一些问题,且性质严重,亟待解决。存在的主要问题 (一)财务制度不健全,核算不规范,利用总、分支机构间的业务往来进行避税,导致漏征漏管和税款流失 1 . 外商投资企业分支机构多以收入、成     

Comparative Performance of Chinese Commercial Banks: Analysis,Findings and Policy Implications

This paper investigates the financial performance of Chinesebanks by using financial ratio analysis. The analysis shows that the lowprofitability of state-owned commercial banks results from their higherratio for non-interest expenses and lower interest margin thanjoint-equity banks. The much lower profit margin in state-owned banksdraws down their levels of ROE and ROA, even with the offsetting effectsof more efficient utilization of their assets and higher financialleverage. Although data limitations prevent us from studying the riskprofiles of the banks in detail, it is clear that these Chinese banksgenerated lower returns with higher financial risks than their Westerncounterparts. The paper concludes with a discussion of major issuesaffecting Chinese bank performance. Significant difficulties encounteredin assessing bank performance are also identified anddiscussed.     

Using DEA to improve the management of congestion in Chinese industries (1981–1997)

Congestion is said to be present when increases in inputs result in output reductions. An “iron rice bowl” policy instituted in China shortly after the revolution led by Mao Tze Tung resulted in congestion that ultimately led to bankruptcy in the textile industry, and near bankruptcy in other industries. A major policy shift away from the “iron rice bowl policy” in 1990 led to massive layoffs and increasing social tensions. Were these massive layoffs necessary? Extensions of data envelopment analysis models effected in the present paper identified inefficiencies in the management of congestion. Using textiles and automobiles for illustration, it is shown how elimination of such managerial inefficiencies could have led to output augmentation without reducing employment. Thus, even in the presence of congestion, it proved to be possible to identify additional (managerial) inefficiencies that provided opportunities for improvement. In the heavily congested textile industry, these output augmentations could have been accompanied by reductions in the amounts of capital used (as an added bonus). In any case, we show how to identify and evaluate new types of efficiency—viz., the efficiency with which needed (or desired) inefficiencies are managed.     

Sensitivity and Stability Analysis in DEA: Some Recent Developments

This papersurveys recently developed analytical methods for studying thesensitivity of DEA results to variations in the data. The focusis on the stability of classification of DMUs (Decision MakingUnits) into efficient and inefficient performers. Early workon this topic concentrated on developing solution methods andalgorithms for conducting such analyses after it was noted thatstandard approaches for conducting sensitivity analyses in linearprogramming could not be used in DEA. However, some of the recentwork we cover has bypassed the need for such algorithms. Evolvingfrom early work that was confined to studying data variationsin only one input or output for only one DMU at a time, the newermethods described in this paper make it possible to determineranges within which all data may be varied for any DMU beforea reclassification from efficient to inefficient status (or vice versa) occurs. Other coverage involves recent extensionswhich include methods for determining ranges of data variationthat can be allowed when all data are varied simultaneously for all DMUs. An initial section delimits the topics to be covered.A final section suggests topics for further research.