Diversely moving towards a green economy: Techno-organisational decarbonisation trajectories and environmental policy in EU sectors

Mazzanti, Massimiliano; Rizzo, Ugo

doi:10.1016/j.techfore.2016.09.026

Cited by 39 publications

(29 citation statements)

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“…Schumpeter Mark II) than standard ones and translate economic returns into higher growth opportunities. Given the irreversibility of complying with environmental regulations, investing in green-specific assets and acquiring internal/external green knowledge (Oltra and Saint Jean 2009;Mazzanti and Rizzo 2017) and environmental technologies have actually been found to lead to more persistent (eco-) innovation practices and outcomes than standard technologies, with greater opportunities of increasing returns (see Sàez-Martínez et al 2016;Chassagnon and Haned 2015).…”

Section: Background Literature and Research Questionsmentioning

confidence: 99%

‘Better late than never’: the interplay between green technology and age for firm growth

et al. 2017

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This paper investigates the relationship between green/non-green technologies and firm growth. By combining the literature on eco-innovations, industrial organisation and entrepreneurial studies, we examine the dependence of this relationship on the pace at which firms grow and the age of the firm. From a dataset of 5498 manufacturing firms in Italy for the period of 2000-2008, longitudinal fixed effects quantile models are estimated, in which the firm's age is set to moderate the effects of green and non-green patents on employment growth. We find that the positive effect of green technologies on growth is greater than that of non-green technologies. However, this result does not apply to struggling and rapidly growing firms. With fast-growing (above the median) firms, age moderates the growth effect of green technologies. Inconsistent with the extant literature, this moderation effect is positive: firm experience appears important for the growth benefits of green technologies, possibly relative to the complexity of their management.

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Section: Background Literature and Research Questionsmentioning

confidence: 99%

‘Better late than never’: the interplay between green technology and age for firm growth

et al. 2017

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“…The above positioning is also an extension of recent technological foresight literature on the role of technology and innovation in sustaining development and corporate outcomes, notably: the exploration of battery technology for grid-related energy storage (Versteeg et al, 2017); techno-organisational decarbonisation (Mazzanti & Rizzo, 2017); the importance of technology in consolidating the petroleum and petrochemical industry (Hossani et al, 2017); the relevance of environmental innovation in marketing capacity (Yu et al, 2017); linkages between unburnable fossil fuel, cumulative emissions and optimal carbon tax (van de Ploeg & Rezai, 2017) and the connection of innovation ecosystems (Pombo-Juárez et al, 2017).…”

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confidence: 91%

Enhancing ICT for Environmental Sustainability in Sub-Saharan Africa

2017

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Section: Economics and Management Of National Economymentioning

confidence: 99%

“…To the problems of techno-organisational change in the European Union and achieving EU 2030 and 2050 targets in the spheres of green economy and energy policy is devoted a research of M. Mazzanti and U. Rizzo (2017).Summarising this brief review, it is worth mentioning that our study concerns Ukraine, where it is proposed to assess the level of fuel poverty at the regional macro level. This is because most of the aforementioned researchers obtained calculation data on the basis of surveys involving certain social groups in several basic regions.…”

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Composite fuel poverty index as a means to assess energy security of the country

Pysar¹,

Dergacheva²,

Bandura³

et al. 2018

EA-XXI

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Abstract. Introduction. The issues of strengthening Ukraine's energy security are related to addressing the insufficient understating of its essence, nature and criteria for assessing the vulnerability of the national economy. The need to improve the existing methodology for calculating the overall performance of energy security assessment is considered to be relevant due to the insufficient level of research on related issues and inconsistency of individual aspects. The composite fuel poverty index by region provides information on energy efficiency of households in different regions and helps to assess the level of poverty of the regions derived from the analysis of the consumption of fuel and energy resources by households in the regions, the pricing policy in Ukraine's energy market, as well as the income and expenditure level of households. The purpose is to develop a methodology for determining the composite fuel poverty index by region, revealing the principal factors of its formation, and to identify ways of improving the country's social and economic security in the context of energy market deregulation. The results of the study reveal indicators that allow assessing the consumption of fuel and energy resources by households by region in qualitative and quantitative terms, taking into account the nonlinearity of economic processes in the context of economic transformation. The problems relating to the implementation of social and economic policy of the state are revealed in the context of the Ukrainian energy market deregulation. The authors of the research have developed an analytical model of the energy inefficiency of Ukrainian regions, as well as a model for estimating the fuel poverty index of relevant regions (FPI i ) by using the monetary poverty indicator P i and the energy inefficiency indicator I ci , i.e. the cost of all energy resources consumed by average households of a region calculated as a unit area. In the 2012-2016 period, the fuel poverty index was established in the range from 0.5 to 0.65. However, the index fluctuations are affected to a great extent by increases in prices on fuel and energy resources, with a high value of the index being indicative of a low level of personal income and high expenditures on fuel and energy resources for Ukrainian households. Conclusion. The calculation of the composite fuel poverty index makes it possible to determine the regions with low incomes and high energy consumption with regard to 1 sq.m of household area. The proposed methodology can become an integral part of the analytical assessment of regions' energy security. The calculation results for Ukraine show that the share of fuel and energy costs as part of household costs exceeded 10% of households' income threshold for 2012-2016, resulting in low living standards of the population and hardship in meeting basic needs. Further increase in fuel and energy prices will bring about an increase in social tension. 51Інтегральний індекс «енергетичної бідності» як засіб оцінки енергетичної безпеки ...

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Diversely moving towards a green economy: Techno-organisational decarbonisation trajectories and environmental policy in EU sectors

Cited by 39 publications

References 51 publications

‘Better late than never’: the interplay between green technology and age for firm growth

‘Better late than never’: the interplay between green technology and age for firm growth

Enhancing ICT for Environmental Sustainability in Sub-Saharan Africa

Composite fuel poverty index as a means to assess energy security of the country

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