چکیده:
ousing forms an important sector of the national economy and the largest component of household net wealth in most countries. Inthis study, Data Envelopment Analysis (DEA) is used to evaluatehousing industry performance in different states of Iran based on relevant data collected from the Ministry of Housing and UrbanDevelopment and Statistical Centres of Iran during 2008-2009. Theresults show that only 37 percent of the states operate technically efficient and the average overall efficiency score obtained by all thestates is 0.90. On the other hand, 63 percent of the states are found tobe relatively inefficient and mostly present decreasing returns to scale. The paper concludes that, appropriate mechanisms should beimplemented for all interventions of the government for stabilizinghousing environment within different states, ensuring maximal benefit of state housing expenditures, mobilising private savings and finallycoordinating public and private sector investment on a multi-functionalbasis.
خلاصه ماشینی:
It is a Linear Programming methodology to measure the efficiency of multiple Decision Making Units (DMUs) when the production process presents a structure of multiple inputs and outputs.
/ The study applies data envelopment analysis (DEA) to evaluate the overall efficiency of housing sector production in 30 states of Iran, taking each state as a DMU in the model.
Since inputs can normally be generalized as natural resources such as land, human resources and man- made aids to further production, three important inputs are selected for the study as follows: Input 1-Total Area of Lands under building construction (scale: 1000 square meters) Input 2- Total Private Investment on building construction (scale: 1000000 Rials) Input 3- Total expenditures of building construction (scale: 1000000 Rials) On the other hand, since outputs can be categorized into tangible products including goods and intangible products including services, therefore three important inputs are selected as follows: Output 1-Total Number of buildings constructed (units) Output 2- Total Area of flats constructed (scale: 1000 square meter) Output 3- Total Land Value of Buildings after construction (scale: 1000000 Rials) In order to validate set of variables in DEA model, one way is to run a test of reliability on the efficiency scores and comparing them for two or more consecutive years using the same variables and methods (Parkin and Hollingsworth, 1997).
Further in the analytical study with the help of DEAP computer program (Coelli, 1996); DEA methodology has been applied to measure the overall efficiency of state housing construction undertakings in Iran.