SIC Classification of Companies By Industry Sector

2008 ◽  
Vol 5 (4) ◽  
pp. 26a-28a
Keyword(s):  
Industry Sector

scholarly journals Occupational vs. Industry Sector Classification of the US Workforce: Which approach is more strongly associated with worker health outcomes?

2011 ◽  
Vol 54 (10) ◽  
pp. 748-757 ◽  
Author(s):  
Kristopher L. Arheart ◽  
Lora E. Fleming ◽  
David J. Lee ◽  
William G. LeBlanc ◽  
Alberto J. Caban-Martinez ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Industry Sector ◽  
Worker Health ◽  
The Us ◽  
Sector Classification

Review of securities class action filings in 2015

2016 ◽  
Vol 17 (3) ◽  
pp. 1-27
Author(s):  
Alexander Aganin
Keyword(s):  
Design Methodology ◽  
Stock Exchange ◽  
Class Action ◽  
Current View ◽  
Content Type ◽  
Industry Sector ◽  
Class Actions ◽  
Trends Over Time ◽  
Loss Index

Purpose To provide an analysis of securities class action filings in 2015 along with related trends over time and a comprehensive current view of the securities class action landscape. Design/methodology/approach Details 2015 securities class actions and related trends in terms of the number and size of filings; market capitalization losses; the litigation exposure of IPOs; the classification of complaints; litigation likelihood for US exchange-listed companies; resolutions (settlements, dismissals or trial verdict outcomes); timing of dismissals and settlements; filing lags; filings against foreign issuers; number of mega filings; recent rulings related to class certification; and concentration of class action activity by industry sector, stock exchange and court circuit. Findings The number of filings in 2015 was the largest since 2008. The Disclosure Dollar Loss Index® (DDL Index®), the Maximum Dollar Loss Index® (MDL Index®) and the number of mega filings rose sharply in 2015 after declines in 2014. The Consumer Non-Cyclical sector had the most filings in 2015 while filings against companies in the Financial sector were below historical averages. Dismissal rates appear to be trending down. The median filing lag has never been shorter than in 2015. Filings against foreign issuers remain at high levels. Filings against S&P 500 companies remained below the historical average. Originality/value Detailed analysis by legal and industry experts.

scholarly journals Analisis sektor unggulan perekonomian Indonesia: Model input-output

SOROT ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. 119
Author(s):  
Armelly Armelly ◽  
Muhammad Rusdi ◽  
Esti Pasaribu
Keyword(s):  
Agricultural Sector ◽  
Analysis Data ◽  
Input Output ◽  
Microsoft Excel ◽  
Processing Industry ◽  
Output Table ◽  
Industry Sector ◽  
Forward Linkage ◽  
Backward Linkages

Penelitian ini bertujuan untuk mengetahui peranan  sektor  ekonomi termasuk  bagaimana  keterkaitan masing-masing  sektor tersebut mempengaruhi  ekonomi di Indonesia. Penelitian ini menggunakan  data Tabel Input-Output Indonesia  menurut  Harga Dasar Klasifikasi 17  Sektor yang  diagregasi  menjadi 9  sektor. Metode  analisis  dilakukan  menggunakan input-output  model  yang  penghitungannya dibantu  dengan menggunakan  program Microsoft Excel. Dari penelitian, didapatkan bahwa sektor  industri  pengolahan memperlihatkan keterkaitan langsung kedepan dengan nilai tertinggi. Hal ini dapat ditafsirkan bahwa pertumbuhan ekonomi Indonesia  lebih  banyak dipengaruhi  oleh pertumbuhan sektor  industri  pengolahan dan memberikan makna bahwa basis perekonomian Indonesia saat ini bertumpu pada sektor industri pengolahan. Lebih jauh lagi, sektor  industri  pengolahan memiliki hubungan besar dengan sektor pertanian dimana sektor ini merupakan penyumbang input antara terbesar bagi sektor pertanian. Dengan demikian, kemajuan pada sektor industri pengolahan akan serta merta memajukan sektor pertanian sebagai multiplier efeknya.This study aims to  analyze  the magnitude of the forward  and  backward linkages  of the any sector with others. The data used in this study were data from Indonesia Input-Output Table Domestic Transaction on the Basic Prices Classification of 17 sectors aggregated into 9 sectors obtained from Central Bureau of Statistics Republic of Indonesia (BPS). The method of analysis data was using the input-output model whose calculations assisted by Microsoft Excel program. The results showed that processing industry sector was a greatest total forward linkage. For that, we can say that economics growth in Indonesia still having processing industry as a leading sector. Further, this sector was having a big relationship with agricultural sector which contributed as a bigest input for agriculture. In conclusion, any development in processing industri sector will be develop agricultural sector as multiplyer effect.

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