Traditional Economy: Innovations, Efficiency and Globalization

Mamedov, Oktay; Movchan, Irina; Ishchenko-Padukova, Oksana; Grabowska, Monika

doi:10.14254/2071-789x.2016/9-2/4

Cited by 10 publications

(9 citation statements)

References 13 publications

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“…However, the selected sample cannot be changed subjectively in a short period of time. Researchers have many inconsistent empirical results on the factors that influence the efficiency of green innovation [47][48][49][50][51][52], but they generally believe that environmental regulation, enterprise scale, technology introduction costs, and government support have significant effects on green innovation efficiency [53][54][55].…”

Section: Influencing Factorsmentioning

confidence: 99%

Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries

2019

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Recently, green innovation efficiency, which considers innovation and environmental factors, is gradually becoming important for the sustainable development of Chinese heavy polluting industries because of the increasing strictness in China’s environmental regulations. Previous studies ignore the impact of external environmental factors on the efficiency of green industry innovation and fail to explain the complex relationship between environmental and technical efficiency fully. Therefore, a non-radial directional distance function-data envelopment analysis (DDF-DEA) three-stage green innovation efficiency evaluation model was constructed to measure the green innovation efficiency of China’s heavy polluting industries objectively and explore the impact mechanism of external factors. Then, the aforementioned model was used to conduct an empirical test on China’s heavy polluting industries. Results indicate that the green innovation efficiency of heavy polluting industries is generally low in China, and the entire industry is in the transitional stage of “effective innovation but not green.” The uncertainty of the effect of the environmental regulation policy, the over-reliance on external technologies, and the scale diseconomies of industries, which are the key factors in improving the green innovation efficiency of China’s heavy polluting industries, have a significant negative impact on green innovation efficiency. The conclusions of this study can provide a useful reference for China and other emerging markets to formulate reasonable environmental regulations and green transition of heavy polluting industries.

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Section: Influencing Factorsmentioning

confidence: 99%

Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries

2019

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“…Not only the DEA method can be used for examination of innovation efficiency of the units. Mamedov, Movchan, and Ishchenko-Padukova (2016) presented Okun's law as an alternative method to DEA. Novytskyi (2008) examined aspects of economic cooperation of the country with EU states and its important issues fort the acceleration of economic growth.…”

Section: Literature Review On Innovation Efficiencymentioning

confidence: 99%

Efficiency measurement of national innovation systems of the European Union countries: DEA model application

Pilík¹,

Kwarteng²

2019

Journal of International Studies

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This paper focuses on measuring technical efficiency of National Innovation System across a sample of the European Union (EU) countries using data envelopment analysis. We used an output-oriented constant returns to scale model to calculate the efficiency of the units represented by the European Union countries. This nonparametric method measures efficiency of input utilisation as compared to the achieved outputs during the consumption process. Following previous studies on this topic, we have used the number of researchers and the expenditures on research and development (R&D) as inputs and published scientific journal articles and applied patents as outputs of the model. Stemming from the available data, we have covered the period of 2005-2016. This period covers the economic period before the financial crisis and economic recession in which it was necessary to use resources effectively for the maximisation of final production. The study also presents data representing the era of growth trend in European economy. The only efficient countries in our study as of 2016 were found to be Cyprus, Luxembourg, Malta, and Romania. The number of efficient units decreased from six countries measured in 2005 from among the eight calculated in the years of the economic crisis to four efficient decision-making units (DMUs) in 2015. Germany, the best performer in the European Union with respect to patent rankings, was classified

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“…Thus, in this paper we attempt to identify the resulting effect of implementation of innovations for the purpose of development and meaningful management as well as for achieving economic, social or other type of effect represented by innovations (Omonov, & Veretennikova, 2016;Mamedov et al, 2016).…”

Section: Innovation In the Economic Literaturementioning

confidence: 99%

Management and promotion of economic innovation potential

Кrayneva

Bugaev

Журавлева

et al. 2017

Journal of International Studies

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Abstract. Our paper focuses on scrutinizing the determinants and the structure of economic innovative potential as well as the existing methods of its assessment at the macroeconomic level. We employ a case study of Russian Federation to tackle these issues and to analyze the problems associated with developing and managing economic potential. The paper analyzes the selection and placement in world research rakings, ratings, and indices, as well as the dynamics of change in the indicators characterizing the innovative potential in research and development issues. Our results enable us identify and reveal the key issues and the main problems of research and development potential and to formulate the comprehensive contingency strategic management plan along with the directions and guidelines of innovative development for the years to come. Our findings reveal the main problems in the development of economic innovative potential of Russian Federation and help us to formulate policy implications for the longterm economic horizon.

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Traditional Economy: Innovations, Efficiency and Globalization

Cited by 10 publications

References 13 publications

Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries

Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries

Efficiency measurement of national innovation systems of the European Union countries: DEA model application

Management and promotion of economic innovation potential

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