Does there exist energy congestion? Empirical evidence from Chinese industrial sectors

2015 ◽  
Vol 9 (2) ◽  
pp. 371-384 ◽  
Author(s):  
F. Wu ◽  
P. Zhou ◽  
D. Q. Zhou
Keyword(s):  
Empirical Evidence ◽  
Industrial Sectors ◽  
Energy Congestion

scholarly journals Infrastructure development in Africa’s regions: investment trends and challenges

2021 ◽  
Vol 295 ◽  
pp. 01029
Author(s):  
Alina Ibragimova ◽  
Yan Wang ◽  
Michail Ivanov
Keyword(s):  
Empirical Evidence ◽  
Production Function ◽  
Global Economy ◽  
Point Of View ◽  
Economic Downturn ◽  
Infrastructure Development ◽  
Social Infrastructure ◽  
Economic Point ◽  
Industrial Sectors

The purpose of this work is to provide information on the development of the infrastructure of the African economy. The study provides statistics on African regions and industries. This article focuses on the forms of economic and social infrastructure, and directs to determine the share development infrastructural in Africa. The Africa has entered an era of devastating change this study shows that with the unfolding economic downturn in the northern economies that have traditionally dominated the global economy. The article provides empirical evidence on how the industrial sectors developed from an economic point of view. The authors believe that infrastructure affects output and productivity directly as a contribution to the production function of other sectors and as part of GDP formation. The article discusses the development of infrastructure for the period 1999-2019 without more detailed dynamics. It also does not explain the main topics developed by the authors. The work provides knowledge on how investments are developing in Africa, how industries have developed, and what is the role of each infrastructure sector in this development. It also shows how different areas of infrastructure work with different successes in creating new paths in the African economy.

scholarly journals Can Sectoral Re-allocation Explain the Jobless Growth? Empirical Evidence from Pakistan

2010 ◽  
Vol 49 (4II) ◽  
pp. 705-718 ◽  
Author(s):  
Azad Haider
Keyword(s):  
Structural Change ◽  
Empirical Evidence ◽  
Structural Changes ◽  
Manufacturing Sector ◽  
Industrial Sector ◽  
Foreign Technology ◽  
Industrial Sectors ◽  
Jobless Growth

The present paper discuss the nature of structural changes in employment to understand jobless growth in Pakistan for the period spanning over 1967-2008. In our work (elsewhere)1 analysing Pakistan at sectoral level to find underlying factors generating jobless growth, we found that Jobless growth in manufacturing sector was anticipated. Industrial sector has a significant importance in any economy across the glob. Recent changes in the use of capital—based foreign technology has resulted in substitution of labour with non-labour inputs such as capital. Employment shifts between industrial sectors are often witnessed as indicators of Structural change in an economy. In this paper we are more interested in the nature of structural change that took place in Pakistan economy over 1967-2008. We set to analyse four commonly used measures of sectoral reallocation proposed by Lilien (1982), Groshen and Potter (2003), Rissman (1997), and Aaronson, Rissman and Sullivan (2004). Findings of our work are suggesting that the economy of Pakistan underwent structural change during periods of recession and recovery. However, it does appear that structural changes were more pronounced at the time of 1969 recession than that of 1991 recession. A plausible explanation for this result might be significant shifts in employment from agriculture towards services sectors. We conclude, based on the evidence from our study, that sectoral reallocation is one of the major causes of jobless growth in Pakistan.

Are Mexican Net Discount Rates Stationary? An Application for Lost Earnings Damages Involving Undocumented Workers

2014 ◽  
Vol 25 (2) ◽  
pp. 128-152 ◽  
Author(s):  
Antonio Avalos ◽  
R. Sean Alley
Keyword(s):  
Time Series ◽  
Empirical Evidence ◽  
Case Law ◽  
Discount Rates ◽  
Undocumented Workers ◽  
Industrial Sectors ◽  
Relevant Case ◽  
Mexican Government ◽  
The Mean

AbstractThis paper provides empirical evidence on the behavior of various Mexican Net Discount Rates (NDRs) by examining the time series properties of several yields on Mexican government securities and annual wages for nine industrial sectors. Results indicate that NDRs are characterized as a stationary series around a shift in its mean. The forecast for the mean of the NDRs should be based on the period after the time of the shift, which took place in 1994. The discussion addresses relevant case law and the application of the NDR approach to the calculation of damages for Mexican undocumented workers as an effort to equip forensic economists with the tools to conduct such estimates.

SME Adoption and Use of ICT for Networked Trading Purposes

2011 ◽  
pp. 149-168
Author(s):  
Fintan Clear ◽  
Adrian Woods ◽  
Keith Dickson
Keyword(s):  
Empirical Evidence ◽  
Firm Size ◽  
Food Processing ◽  
Telephone Survey ◽  
Internet Services ◽  
Industry Sector ◽  
Ict Use ◽  
Industrial Sectors ◽  
Sample Data ◽  
Multiple Variables

Based on empirical evidence gained by a telephone survey of 375 SMEs (Small and Medium-sized Enterprises), this chapter uses logistical regressions as a means of identifying the potential for relationships between three variables - industry sector, firm size (as measured by employment), and age of firm - as they influence ICT ownership, ICT use and ICT benefits. Such inter-relationships can then be used to identify networked trading practice and proclivity. Data was gathered for firms on the basis of four industrial sectors (‘Media’, ‘Logistics’, ‘Internet Services’ and ‘Food Processing’) in a region encompassing West London and adjacent counties. Logistical regressions on the sample data suggest that possession, application and the benefits derived from ICT can be explained on the basis of single and multiple variables or as the result of none, and are individuated as either ‘just sector’, ‘just size’, ‘sector and size’, ‘sector and age’, ‘sector, size and age’ or ‘no variable’.

SME Adoption and Use of ICT for Networked Trading Purposes

2013 ◽  
pp. 774-791 ◽  
Author(s):  
Fintan Clear ◽  
Adrian Woods ◽  
Keith Dickson
Keyword(s):  
Empirical Evidence ◽  
Firm Size ◽  
Food Processing ◽  
Telephone Survey ◽  
Internet Services ◽  
Industry Sector ◽  
Ict Use ◽  
Industrial Sectors ◽  
Sample Data ◽  
Multiple Variables

Based on empirical evidence gained by a telephone survey of 375 SMEs (Small and Medium-sized Enterprises), this chapter uses logistical regressions as a means of identifying the potential for relationships between three variables - industry sector, firm size (as measured by employment), and age of firm - as they influence ICT ownership, ICT use and ICT benefits. Such inter-relationships can then be used to identify networked trading practice and proclivity. Data was gathered for firms on the basis of four industrial sectors (‘Media’, ‘Logistics’, ‘Internet Services’ and ‘Food Processing’) in a region encompassing West London and adjacent counties. Logistical regressions on the sample data suggest that possession, application and the benefits derived from ICT can be explained on the basis of single and multiple variables or as the result of none, and are individuated as either ‘just sector’, ‘just size’, ‘sector and size’, ‘sector and age’, ‘sector, size and age’ or ‘no variable’.

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