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Home > State under Trial an Institutional Analysis of a Policy Decision in the Pakistani Electricity Sector

State under Trial an Institutional Analysis of a Policy Decision in the Pakistani Electricity Sector

Thesis Info

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Author

Saleem, Ashar

Program

PhD

Institute

Lahore University of Management Sciences

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2015

Thesis Completion Status

Completed

Subject

Applied Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/6745/1/Ashar_Saleem_Management_%26_Organisational_Studies_2015_LUMS_Lahore_10.06.2016.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727234776

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This thesis uses institutional theory to study state – (private) organization relationship in a postcolonial context. The thesis analyzes a policy decision of the Government of Pakistan to employ rental power plants (RPPs) in large numbers as a short term measure to address the acute electricity shortage in the country in 2008-09. This decision was challenged in the country’s Supreme Court (SC) by two parliamentarians. The state ended up defending its policy before the court between September 2009 and March 2012. The research deploys a qualitative case study method which primarily relies on the following sources of information: participant observation of the proceedings of the RPPs case in the SC and of a legal firm involved in it; documentary evidence presented by various parties in the court; interviews with some of the key people in the RPPs case; and secondary data related to the case. Analyzing this data allows answering the thesis’ research questions. These questions pertain to the reasons leading to the state relinquishment of power to private organizations in a postcolonial context and the key elements of a legitimating narrative constructed by a state to legitimate such a surrender. Addressing these questions enables the thesis to make several contributions to institutional theory’s conversation on state-organization dynamics in postcolonial contexts. This thesis identifies a subservient state, one that surrenders its interests to private organizations. This is an important contribution to that literature for it challenges the current understandings of the state in that literature which portrays it playing a dominating role in relation to private organizations when creating, maintaining or changing institutions. Other main contributions of the thesis to that conversation lie in elaborating an institutional account for a state’s surrender to private organizations, documenting the key elements of state’s narrative that legitimates such a surrender, and highlighting the role of mainly Western multilateral funding agencies in shaping institutional environments in postcolonial contexts.
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آنکھ سے دور سہی دل کے قریں رہنے دے

آنکھ سے دُور سہی، دل کے قریں رہنے دے
میری ہر سانس میں تو خود کو مکیں رہنے دے

میں کہ اک عکس ہوں گمنام سا پس منظر ہوں
کب کہاں کیسے کسی طور کہیں رہنے دے

اک نظر مجھ پہ مرے ماہِ منیر ایسی ہو
کب طلب میں نے کیا زر یا نگیں، رہنے دے

میں ہوں اس قافلۂ عشق سے بچھڑا راہی
میرا کب ٹھور ٹھکانہ ہے کہیں، رہنے دے

تجھ سے منسوب ہوئی، تجھ سے ہی منسوب رہوں
غیر کے آگے جھکے گی یہ جبیں، رہنے دے

دل میں یا آنکھ میں یا دستِ حنائی میں فضاؔ
تیری مرضی ہے جہاں چاہے، وہیں رہنے دے

Glucose Insulin Ratio in Hyper Insulinemic Women with Polycystic Ovarian Syndrome

Background: Women with polycystic ovarian syndrome (PCOS) have insulin resistance and hyperinsulinemia that may play a key role in the pathogenesis of PCOS. Objectives: To determine and compare glucose-insulin ratio in hyper-insulinemic women with the polycystic ovarian syndrome and healthy controls. Materials & Methods: A cross-sectional comparative study was conducted at Lahore General Hospital. A total of 80 women 24-35 years of age were recruited from Lahore General Hospital. 50 women had PCOS, and 30 were healthy controls. PCOS was diagnosed by using the Rotterdam criteria. Height, weight, and waist circumference were measured. Glucose and insulin were estimated by the glucose oxidase method and ELISA, respectively. HOMA-IR was calculated to determine insulin resistance (IR). HOMA- β was calculated to assess the β-cell function. Fasting glucose and insulin ratio were also calculated. Results: Mean age of the women with PCOS and healthy controls was 29.89±3.54 and 28.60±1.12 years, respectively (p>0.54). BMI and waist circumference of women with PCOS were higher compared to healthy controls (p>0.45). Fasting glucose, fasting insulin, HOMA- β, and IR were significantly higher in women with PCOS compared to healthy controls (p<0.001). Conclusion: In addition to HOMA IR, the glucose-insulin ratio may be considered to assess hyperinsulinemia in women with polycystic ovary syndrome.

A Novel Architecture to Integrate Multi-Sourcedatain Distributed Environment

The amount of data has been increasing over the last few years due to the emergence of various end-user applications. These applications utilize cloud computing infrastructure in the data centers. Apart from the increasing volume of data, there are other factors such as variety, velocity, and veracity of the data which result in the problem of big data. Traditional database management systems are not efficient to handle big data. The use of big data platform is necessary to resolve the big data problem. Hadoop is one of the platforms which resolve the problem of big data. Hadoop uses a distributed storage system. Hive and HBase are some of the big data tools for storing big data in Hadoop. They run on top of Hadoop distributed file system (HDFS). Hive is a data warehouse framework for querying and analysis of data that is stored in HDFS.?Hive?is an open-source software that lets programmers analyze large data sets on Hadoop. HBase is a column-oriented, distributed and high fault-tolerant database. It is used to store and manage big data. It can store billions of rows at a time. Both Hive and HBase can be used to store the big data in Hadoop. When the data comes from multiple sources, it is stored into multiple tables in Hive and HBase. As a result, its performance degrades when there is a need to perform join operations. In this thesis, we propose an architecture which stores data from multiple sources into a single HBase table. A new table schema with a unique row key is designed which integrates multi-source data in a table. There is no need to perform join operation in the proposed technique as the data is integrated into a single HBase table. We evaluated the proposed technique using a real testbed by considering a dataset of two publishers. We compare the performance by storing data into Hive and also in the proposed HBase table. Results show improved query performance of the proposed technique as compared to the traditional approach of using join operations in multiple tables in Hive.