Research on domestic CO2 emissions from export products of industrial sectors in China

2011 ◽  
Author(s):  
Yun Zhang ◽  
Xiuzhen Li
Keyword(s):  
Industrial Sectors

Economic Production Inventory model with the associated costs of internet advertising to acquire customers residing worldwide

2014 ◽  
Vol 12 (9) ◽  
pp. 3921-3926
Author(s):  
Ritha Prakash ◽  
Nivetha Martin
Keyword(s):  
Modern Technology ◽  
Inventory Model ◽  
Internet Advertising ◽  
Advertising Strategy ◽  
Technology Acquisition ◽  
Industrial Sectors ◽  
Economic Production ◽  
Production Inventory ◽  
Short Span

In recent times, we are witnessing the technological revolution which provides access to tremendous changes in all the fields including the industrial sectors. The notable benefit of the modern technology is quick accomplishment of complex tasks within a short span of time, which has motivated the manufacturers to imbibe novelty techniques in the production process to enhance the quality of the product so as to retain its market position amidst the competitors. As globalization has gained more concern, the manufacturers employ internet advertising strategy to elevate the product to international level and to propagate the attributes of the products to the customers residing worldwide. In this paper an EPQ inventory model is developed in which the associated costs of technology, acquisition of local and international customers via internet advertising costs are included, a numerical example is also presented to validate the model.

The technological transformation of Russia's industrial sectors: Difficulties and prospects

2020 ◽  
Vol 16 (9) ◽  
pp. 1674-1697
Author(s):  
O.P. Smirnova ◽  
A.O. Ponomareva
Keyword(s):  
Production Method ◽  
Industrial Sector ◽  
The State ◽  
Industrial Complex ◽  
Economic Activities ◽  
Resource Saving ◽  
Technological Transformation ◽  
Modern Approach ◽  
Industrial Enterprises ◽  
Industrial Sectors

Subject. The article focuses on contemporary trends in the industrial and socio-economic development of Russia during the technological transformation of its sectors. Objectives. The study is an attempt to analyze what opportunities and difficulties may arise for the development of the industrial sectors in Russia. We also examine the dynamics of key development indicators of the industrial sectors, point out inhibitors of their competitiveness. Methods. The methodological framework comprises general methods of systems, structural-functional and comprehensive approaches to analyzing economic phenomena. We applied graphic, economic-statistical methods of research, conventional methods of grouping, comparison and generalization, and the logic, systems and statistical analysis. Results. We display how industrial sectors develop over time by type of economic activities. The article provides the rationale for structural rearrangements and further innovation-driven development of the industries. We display that the Russian industries technologically depend om imported production technologies. We substantiate the renewal of assets and technologies at industrial enterprises, and retain and develop human capital. Conclusions and Relevance. Primarily, the Russian economy should be digitalized as a source of the long-term economic growth. Notably, industrial enterprises should replace their linear production method with that of the circular economy and implement resource-saving innovative technologies. The State evidently acts as the leading driver of technological retrofitting of the industrial sector. If the State holds the reasonable and appropriate industrial policy at the federal and regional levels and configure its tools to ensure the modern approach to developing the industries in a competitive fashion, the industrial complex will successfully transform into the innovative economy.

Information Needs of Microenterprise Owners in Louisiana

2013 ◽  
Author(s):  
Tao Jin
Keyword(s):  
Information Needs ◽  
Wide Spectrum ◽  
Research Project ◽  
Ongoing Research ◽  
Industrial Sectors

This presentation will report on an ongoing research project about the information needs of microenterprise owners in Louisiana. Microenterprises are those businesses with fewer than five employees or sole proprietorships with no employees. They exist across all industrial sectors and incorporate a wide spectrum of information needs.Cette communication présente un projet de recherche en cours s'intéressant aux besoins informationnels des propriétaires de microentreprises de la Louisiane. Les microentreprises comptent moins de cinq employés, y compris celles à propriétaire unique sans employé, et sont présentes dans tous les secteurs d'activités. Les besoins informationnels varient donc grandement.

The Effect of Underreaction and Overreaction of Firm Stocks to Firm Valuation: Data from the Indonesian Stock Exchange

2019 ◽  
Author(s):  
Yohanes Indrayono
Keyword(s):  
Behavioral Finance ◽  
Firm Value ◽  
Intangible Assets ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Firm Valuation ◽  
Good News ◽  
Industrial Sectors ◽  
Tangible Assets ◽  
Firm Profitability

<p>This study contributes to the on-going studies on behavioral finance by providing a case study on underreaction and overreaction of firm stocks to firm valuation. We use the Model of Investor Sentiment (Barberis et al., 2005) to evaluate underreaction and overreaction behavior and reflect on specific findings in the Indonesian market. The result of the study is most of the stocks in the Indonesian Stock Exchange are more overreaction to the news of firm financial statements. Firms on the industry with more intangible assets measure more overreaction than firms on industries with more tangible assets. For stocks with overreaction, the stock firm value is positively affected by a change in the total assets and profitability, but not by change of book value. The result concretized no evidence that firm stocks overreacted to the news more than underreacting. In stock industrial sectors, the financial institutions and wholesale industry stocks demonstrated remarkable overreactions. Nonetheless, automotive, building construction, food and beverage as well as cement evidenced more underreaction. For better return in financial markets, investors may buy stocks of the firm on industry with more tangible assets when there is no good news about the increasing firm profitability and sales; nonetheless, they should buy stocks of the firm on industry with more intangible assets when there is no lousy news about the increasing firm profitability and sales. </p>

Introducing indicators system for strategic management (of undustrial enterprises)

2020 ◽  
Vol 3 (2) ◽  
pp. 4-9
Author(s):  
Umidjon U. Kostaev
Keyword(s):  
Strategic Management ◽  
Industrial Enterprises ◽  
Industrial Sectors ◽  
Factors Influencing ◽  
The Republic

The study presents the factors influencing on the strategic management of industrial enterprises with scientifically developed and approved set of indicators that assist in controlling strategic managerial records maintenance. The indicators system for organization matches the national specificity of Uzbekistan and recommended as effective controlling strategic managerial records maintenance for industrial sectors of the republic.

Sectoral Analysis of Foreign Direct Investment in India During First Generation Reform Period

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Manoj Kumar Sinha
Keyword(s):  
First Generation ◽  
Correlation Matrices ◽  
Foreign Investors ◽  
Industrial Policies ◽  
Sectoral Analysis ◽  
Industrial Sectors ◽  
Reform Period ◽  
Service Sectors ◽  
Almost All ◽  
Rank Dominance

Since 1991, India has cautiously and slowly opened almost all the sectors, except a few related to strategic importance, for foreign investors. Degree of openness of various industrial sectors for FDI has been increased to the extent of 100 percent by consistently liberalizing industrial policies of the sectors. The purpose of the paper is to study pattern and trends of sectoral distribution of FDI within the background of the first generation reforms and liberalized industrial policies during 1991-2001. The paper has used series of the dynamics and stylistic indices and statistical tools such as three level indices, index of rank dominance, and correlation matrices for explaining the pattern of FDI distribution across sectors during 1991-2001. The results show that electrical, transportation, chemical, telecommunication, and service sectors are most dominating sectors and represent almost 75 percent of total FDI received during 1991-2001. Index of rank dominance indicates distribution of FDI across the sectors is top heavy.

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