Does international trade provide incentives for efficient behaviour of Russian manufacturing firms?

Golikova, Victoria; Gonchar, Ksenia; Kuznetsov, Boris

doi:10.1080/14631377.2012.675163

Cited by 16 publications

(13 citation statements)

References 19 publications

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“…according to theory (Melitz 2003) and considerable empirical evidence for different countries, including Russia, exporters are usually more productive if they are self-selected for export, i.e. they are more productive prior to the beginning of export activity (Greenaway and Kneller 2007;Castellani, Serti, and Tomasi 2010;Delgado, Farinas, and Ruano 2002;Yang and Mallick 2010;Golikova, Gonchar, and Kuznetsov 2012). For other globalization indicators, the self-selection effect is less prominent, but there is some empirical evidence that both importing (lööf and andersson 2010; Vogel and Wagner 2010; Wagner 2012) and foreign partnerships (aw, Chung, and Roberts 2000;Helpman, Melitz, and Rubinstein 2008) are also associated with better performance, higher innovation activity, etc.…”

Section: Hypothesesmentioning

confidence: 98%

“…according to the aforementioned survey, half of medium-sized and large manufacturing firms used imported technology for their production processes. While the growth of manufacturing exports has been much less spectacular than the growth of raw materials imports, the share of exporters and the average share of export revenues in total sales have also been increasing (Golikova, Gonchar, and Kuznetsov 2012). In addition to arms-length transactions, other forms of globalization activities also were developing.…”

Section: What Russian Manufacturing Firms Are Most Likely To Be Punismentioning

confidence: 98%

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Perception of risks associated with economic sanctions: the case of Russian manufacturing

Golikova

Kuznetsov

2016

Post-Soviet Affairs

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This paper is focused on assessing the risk factors for Russian manufacturing firms posed by sanctions imposed on Russia by the EU, US, and other countries in 2014. While there is an extensive literature assessing the successes and failures of international sanctions on the economies of both those imposing and targeted by sanctions on a macroeconomic level, we are more interested in trying to understand the corporate response -i.e. which firms evaluate the introduction and increasing scale of economic sanctions as a threat to their corporate strategy, and their possible reactions aimed at adjusting to a changing environment due to the geopolitical shock. Our research, based on a recent survey of manufacturing companies, provides evidence that over the last decade Russian manufacturing firms have become much more integrated into the global economy than is commonly assumed, through foreign direct investment, foreign trade (including imports of both technological equipment and raw materials and components), international partnerships, and by extensively supplying foreign companies that operate in Russia. Considering the self-selection effect of the top-performing firms in terms of foreign trade, we can state that sanctions could prove most harmful not only for the targeted firms, but for the entire population of betterperforming and globalized firms involved in foreign trade with the EU and Ukraine. Thus, the impact of the sanctions on the prospects of the Russian manufacturing sector may be very strong over the medium-to-long term.

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Section: Hypothesesmentioning

confidence: 98%

Section: What Russian Manufacturing Firms Are Most Likely To Be Punismentioning

confidence: 98%

Perception of risks associated with economic sanctions: the case of Russian manufacturing

Golikova

Kuznetsov

2016

Post-Soviet Affairs

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“…Research and development often accompanies the development of the release of new products, an increase in the competitiveness of companies, but it is necessary to take into account the nonlinearity of such a relationship -R&D becomes effective only when the intensity of research and development expenditures is high enough. Firms producing new products on a global scale, on average, are characterized by a much higher level of R&D expenditures -about 3.5% of revenue, while for Russian companies mastering the production of new products, this figure is only 0.7% of revenue [21].…”

Section: Resultsmentioning

confidence: 99%

Predictive analysis of labor productivity growth factors: regional aspects

Kalabina

Smirnykh

2021

SHS Web of Conf.

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The study is aimed at identifying predictors of labor productivity growth in Russian regions. To compile a primary set of predictors and establish the relationship between them, a contextual review of publications on the topic under study was carried out. The factors, that directly and indirectly affect the increase in labor productivity in the regions of Russia, include institutional conditions; investments in fixed assets; orientation of companies to the development of new markets and participation in export activities; research and development costs; technological and organizational innovation; investment in human capital. The theoretical foundations for the formation of effective incentives in the regions for changing the strategic behavior of companies that meet global technological and socio-economic challenges are formulated. The results of predictive analysis are the basis for building a model of system dynamics of relevant factors of growth in labor productivity in the regions.

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“…В России, по мнению аналитиков, новые технологии дают возможности для встраивания в новые цепочки создания стоимости, изменения привычных моделей отраслевых рынков и повышения конкурентоспособности на мировых рынках 3 .…”

Section: Introductionunclassified

“…Ipi 4.0, ИННОПРОМ-2017. URL: http://frprf.ru/ipi/ 3. Анализ текущего уровня развития цифровой экономики в Российской Федерации.…”

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The Impact of Technologies of the Industry 4.0 on Increase of Productivity and Transformation of Innovative Behavior of the Industrial Companies

Трачук

Линдер

2020

SDRM

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Paper is devoted to interrelation research between investments in technology of the fourth industrial revolution, patterns of innovative behavior and productivity of the Russian industrial companies. Research is conducted on the basis of data of 576 industrial companies (874 respondents).At the first investigation phase it is confirmed that technologies of the industry have the greatest impact on increase of productivity and transformation of industrial production 4.0: robotics, Internet of things, additive production, big data and analytics, cybersecurity. Besides, effects of introduction of technologies of the fourth industrial revolution are defined: financial, valuable, operational, innovative and technological development.At the second investigation phase the interrelation analysis between investments is carried out to technologies of the industry 4.0, patterns of innovative behavior and productivity of the industrial companies with use of the modified CDM model. The received empirical results have shown that investments of the industrial companies in technology of the fourth industrial revolution increase productivity with elasticity 0,28 for high-tech industries; 0,21 – for the middle-technology, and 0,14 – for low-technology.Investments in innovative activity have elasticity range from 0,04 (for low volumes of investments in new technologies) to 0,17 (at the high volumes of investments); the relations between investments in an innovation and growth of productivity aren't linear and have stable positive relation only after a certain critical mass of investments in new technologies is reached. Considerable influence on interrelation of investments in innovations and productivity is rendered by the characteristic of branch in which the company works: the firms working in high-tech industries, not only put in new technologies, innovative activity more, but also have more high efficiency caused by scientific researches and development; the companies of low-technology branches have negative elasticity of investments in innovations and productivity that is connected with influence of effect of unprofitability of investments into innovations (appropriability effect), that is the additional profit on investment isn't essential.

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Does international trade provide incentives for efficient behaviour of Russian manufacturing firms?

Cited by 16 publications

References 19 publications

Perception of risks associated with economic sanctions: the case of Russian manufacturing

Perception of risks associated with economic sanctions: the case of Russian manufacturing

Predictive analysis of labor productivity growth factors: regional aspects

The Impact of Technologies of the Industry 4.0 on Increase of Productivity and Transformation of Innovative Behavior of the Industrial Companies

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