Forecasting Construction Manpower Demand: An Econometric Model

Author(s):  
James M. W. Wong ◽  
S. Thomas Ng ◽  
Albert P. C. Chan ◽  
Y. H. Chiang
1985 ◽  
Vol 24 (3-4) ◽  
pp. 531-550 ◽  
Author(s):  
Suleiman I. Cohen ◽  
Ivo C. Havinga ◽  
Mohammad Saleem

The macro-econometric model of Pakistan's economy by Naqvi et al. (3) is the first completed work in a renewed effort to model significant economic and social activities and issues in Pakistan. One of the current modelling efforts in which the authors are participating aims at combining elements from the macro-econometric model, inter-industry relations, factor market relations, and social accounting frameworks. This effort is now made possible by the compilation of the relevant statistics relating to an input-output table and the social accounting matrix ....................................................................................................


2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray

Abstract Forestry professionals are concerned about how forestlands are affected by residential and other development. To address those concerns, researchers must find appropriate data with which to describe and evaluate rates and patterns of forestland development and the impact of development on the management of remaining forestlands. We examine land use data gathered from Landsat imagery for western Washington and evaluate its usefulness for characterizing low-density development of forestland. We evaluate the accuracy of the satellite imagery‐based land use classifications by comparing them with other data from US Forest Service's Forest Inventory and Analysis inventories and the US census. We then use the data to estimate an econometric model describing development as a function of socioeconomic and topographic factors and project future rates of development and forestland loss to 2020. We conclude by discussing how best to meet the land use data needs of researchers, forestry policymakers, and managers.


2021 ◽  
Vol 13 (11) ◽  
pp. 5865
Author(s):  
Qiming Yang ◽  
Jun He ◽  
Ting Liu ◽  
Zhitao Zhu

This article studies how the allocation structure of bank credit capital between state-owned and private enterprises and government environmental expenditures affect environmental pollution in China. The present literature argues that credit allocation and government environmental expenditures may play an important role in environmental quality improvement. However, these studies rarely consider the credit allocation structure between State-owned enterprises (SOEs) and private enterprises; in addition, they overlook the interaction effects of credit allocation and government environmental expenditures. Based on these, we put forward three hypotheses. Moreover, the study applies relevant spatial data for 2011–2017 from 31 provinces in China to a spatial econometric model, and the results indicate that (1) environmental pollution among provincial regions shows a significant positive spatial autocorrelation. (2) Environmental expenditures and environmental pollution display an inverse U-shaped relationship, which supports the numerical simulation results. (3) The interaction effect of credit allocation structure and environmental expenditures on environmental pollution is significantly positive, which means that the allocation of more credit capital to private enterprises will restrain the effect of government environmental expenditures. With the increasing significance of environmental protection in China, it is necessary to strengthen the supervision of private enterprises’ environmental pollution behavior, expand government expenditures on ecological protection, and promote regional collaborative environmental governance to improve environmental quality.


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