Analyzing the Efficiency of County Road Production – Evidence from Eastern German Counties

2019 ◽  
Vol 20 (4) ◽  
pp. e415-e435
Author(s):  
Carolin Fritzsche

AbstractThis study analyzes the efficiency of the road production by local governments using data envelopment analysis. The production of roads is a costly public service, which makes an efficiency analysis in this field an interesting subject. I enhance the previous literature, first, by examining the differences in the efficiencies of eastern German counties while considering the deformation of the pavement and foundation of roads, which previous studies have not included due to data limitations. Second, I use a unique dataset on road quality for my efficiency analysis and show that the efficiency levels differ from those in studies that apply proxies, such as the number of accidents, to capture the quality of roads. These findings indicate that there is a great need to develop reliable variables to describe government services. Additionally, I show that the correlations between efficiency levels and county characteristics vary greatly depending on the quality indicator used.

Author(s):  
Sreekumar ◽  
Gokulananda Patel

In the present economy, both at national and international front service sector, is playing a pivotal role as a major contributor towards the GDP. The importance of service sector necessitates the efficiency measurement of various service units. The opening of Indian economy (Liberalisation – Privitisation – Globalisation) has affected every segment of Indian industry and service sector, education being no exception. Today, management education is one of the most sought after higher education options for Indian students. Management education in India has also undergone many changes in the last decade or so, meeting the need of industries. Meeting this growing demand has lead to proliferation of management institutions, and in many a cases the quality of education is compromised. Some popular Indian magazines and journals started ranking the Indian B-Schools intending to give information to all the stake holders involved. All these methods either use weighted average or clustering method to rank the institutes. This chapter proposes an alternative method based on efficiency analysis using Data Envelopment Analysis to rank the Indian B-Schools. The B-schools are observed over multiple periods of time, and the variations of efficiency are used to draw a conclusion about the performance of B-schools. Window analysis is used to compare the performance of B-schools over the period of time.


Author(s):  
Jamilah Mohd Mahyideen ◽  
Nur Azlina Abd Aziz ◽  
Hafisah Yaakob ◽  
Nurhanani Aflizan Mohamad Rusli ◽  
Wan Normila Mohamad

Author(s):  
Satya Swesty Widiyana ◽  
Rus Indiyanto

ABSTRACTThis study was taken from the problems in Heaven Store ranging from turnover does not reach the target, the different display products for each branch, and a just few reference customer visiting from problems in customer satisfaction. because the values of input and output obtained from each branch has a different values so demanding customers Heaven Store to correct weaknesses in the efficiency of customer service and satisfaction, then we tried to respond to the challenges of these improvements to the study "Analysis of Measurement Efficiency Services Methods Data envelopment analysis (DEA) In Heaven Store in West Surabaya "So in this study, researchers will assist the managementHeaven Store for measuring the level of efficiency that Heaven store along 5th branches can improve the quality of service by using data envelopment analysis (DEA), which is a methods that determine the level of efficiency similar organization where efficiency is not determined by the organization concerned. It is hoped this analysis will help the management to withdraw the customer so that the customer can buy the products that are sold in Heaven Store. After calculation of the mathematical model by referring to the calculation of the mathematical model DEA CRS, obtained the efficiency 0.8479688 on the fifth branch Heaven Store, then after an improvement in input and output according to the reference fixes the target model of DEA CRS, then the value of the relative efficiency DMU 5 can be increased from 0.8479688 (inefficient) to 1.000000 (efficient). Keywords: Data Envelopment Analysis, customer satisfaction, efficiency


2018 ◽  
Vol 3 (4) ◽  
pp. 336-366 ◽  
Author(s):  
Rollin F Tusalem

Migrant remittances have been linked to improving the quality of government and political accountability in the developing world. The argument is that migrants have the capacity to withhold remittances to their families when they deem that their local governments are blighted with corruption and bureaucratic inefficiency. Relatedly, migrants also empower citizens in sub-national regions by providing funds to family members who become less beholden to clientistic ties with political parties which concomitantly foster state-level corruption. Thus, relatives of migrants also become social agents who will increasingly expect better governmental performance and demand higher levels of political accountability at the sub-national level. Using data provided by the Philippine National Statistics Office and the National Statistical Coordinating Board of the Philippines (NSCB hereafter), the study provides empirical evidence that the number of migrants (by province) and the amount of remittances sent by migrants are positively associated with governmental effectiveness and higher levels of human development at the provincial level. It is also found that opportunistic shirking on the part of the sub-national governments is also not occurring, as remittances also induce provincial governments to spend more on their citizens, which will likely lead to better public goods provision. The overall findings imply that just like their counterparts from other developing countries, Filipino migrants are agents of democratic accountability.


2005 ◽  
Vol 34 (2) ◽  
pp. 185-203 ◽  
Author(s):  
Elizabeth Marshall ◽  
James Shortle

In this study we use data envelopment analysis (DEA) and an extension of DEA called value efficiency analysis (VEA) to explore the “production” of quality of life within counties in the mid-Atlantic region and the extent to which production frontiers and efficiency differ between rural and urban counties. These methods allow us to identify counties that are inefficient in their quality of life production, and to rank (using DEA) those counties according to their distance from a performance standard established by other observed counties, or (using VEA) by a single unit designated as “most preferred.”


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