Catching up through green windows of opportunity in an era of technological transformation: Empirical evidence from the Chinese wind energy sector

Dai, Yixin; Haakonsson, Stine Jessen; Oehler, Lars

doi:10.1093/icc/dtaa034

Cited by 28 publications

(14 citation statements)

References 42 publications

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“…The technology spaces in these sectors are characterised by the following features (Dai et al, 2020;Hansen and Hansen, 2020;Zhou et al, 2019):…”

Section: How Industry-specific Are the Results Of The Empirical And M...mentioning

confidence: 99%

“…It was, however, with the renewable energy law of 2005 that the domestic industry really developed (Nahm, 2017). According to Dai et al (2020) and Kirkegaard (2017), the growth of wind energy in China is a direct result of this law, which created demand-side stimuli for local firms. The policy basket included two types of demand creation: the mandatory purchasing of wind energy by utilities (from 2008) and a feed-in tariff (from 2009) for market creation.…”

Section: Demand Windows In Chinese Green Sectorsmentioning

confidence: 99%

“…To support catching up, the government successfully enforced local content requirements during the critical phase of firm-and system-level capability accumulation (Lema et al, 2016). In this case, several aspects of policy design and implementation rendered the policy effective, such as the temporal nature of local content requirements and the matching of these local content requirements to the capability levels in the supply chain (Dai et al, 2020).…”

Section: The Role Of Local Industry Protectionmentioning

confidence: 99%

“…In South Africa's Renewable Energy Independent Power Projects Procurement Program, the insights generated from other countries about the effectiveness of industry protection were not sufficiently incorporated into the programme (Leigland and Eberhard, 2018). In this respect, Dai et al(2020). show that in wind the capabilities developed in the exploitation of the original demand window proved insufficient and were misdirected when meeting the new demand for offshore wind.…”

Section: The Role Of Local Industry Protectionmentioning

confidence: 99%

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Demand-led catch-up: a history-friendly model of latecomer development in the global green economy

Landini

Lema

Malerba

2020

Industrial and Corporate Change

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This article examines the role played by demand in catching up and in leadership changes in green industries, motivated by the belief that demand-led catch-up is a prevalent pathway in such industries. The article first examines stylized cases of sectoral green catch-up by China in which the local market and domestic demand played an important role before the sector started expanding globally. In particular, the focus is on three industries: wind, biomass and hydropower. Then, it uses a history-friendly model to study the effects of a major increase in domestic demand (a “demand window”) in a green industry. The baseline simulation first examines the effects of a demand window in promoting learning and capability building by latecomers and in triggering a catch-up process. Then, the counterfactual simulations show that (i) a technological discontinuity which takes place after the demand window could reduce the effectiveness of the demand window in the catch-up process; (ii) the specific timing of the demand window could significantly alter the dynamic patterns of catch-up; (iii) protectionism is a necessary condition for the demand window to have its effect; and (iv) regimes of slow capability accumulation could turn out to be beneficial for the latecomer when a technological discontinuity follows the demand window. These results can help policymakers in identifying key conditions related to demand-led catch-up strategies.

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“…The technology spaces in these sectors are characterised by the following features (Dai et al, 2020;Hansen and Hansen, 2020;Zhou et al, 2019):…”

Section: How Industry-specific Are the Results Of The Empirical And M...mentioning

confidence: 99%

Section: Demand Windows In Chinese Green Sectorsmentioning

confidence: 99%

Section: The Role Of Local Industry Protectionmentioning

confidence: 99%

Section: The Role Of Local Industry Protectionmentioning

confidence: 99%

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Demand-led catch-up: a history-friendly model of latecomer development in the global green economy

Landini

Lema

Malerba

2020

Industrial and Corporate Change

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“…The study of the possibilities of emerging technological windows is noteworthy, in particular: "green windows of opportunity" (Dai et al 2020), "green technologies" (Bas and Oliu 2018;Zhou et al 2020), etc., however, similar to the study of the development of the Arctic, environmental focus prevails in scientific research on this problem. In this study, we will understand, via technological windows of opportunity, the prospects for using the latest scientific achievements for the development of high-tech activities that open up for production when changing technological structures.…”

Section: Introductionmentioning

confidence: 99%

Technological Windows of Opportunity for Russian Arctic Regions: Modeling and Exploitation Prospects

Samarina

Skufina

Savon

et al. 2021

JRFM

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The problems of exploitation of technological windows of opportunity are of particular scientific and practical interest in terms of the development of Russia’s national economy, and the Arctic region, which has a strong mineral and raw materials potential, is important in terms of its use for achieving the technological and national security of the Russian state. Considering this, the study of the theoretical and methodical aspects of the development of emerging technological windows of opportunity is important and relevant for the regions of the Russian Arctic zone. The purpose of this study is to assess the potential and reserves for exploitation of the emerging technological windows of opportunity during the deployment of a new technological order by mobilizing material and human capital in the Arctic regions. Methodological tools for the study of this problem included dynamic series analysis, structural analysis, comparison, description, descriptive statistics, cross-correlation analysis, production function model and its visualization. An analytical review of scientific publications, a set of tools and methods of research, allowed to obtain the following scientific results: A significant variability in the contribution of science-intensive and high-tech industry to the formation of gross value added in the Arctic region has been revealed; meanwhile, we can note stable dynamics of the contribution of the Arctic economy to the gross domestic product (GRP) of Russia as a whole. There is a steady excess of the productivity index over the Russian average, which can be regarded as a potential for growth of high-tech components of labor in the development of the economy of the Arctic region. There is a negative statistically significant relationship between the share of the gross regional product of the Arctic in the Russian GRP and the share of gross value added (GVA) of science-intensive products in the Arctic GRP, which can be regarded as a factor preventing the exploitation of the emerging technological windows of opportunity. The construction of a model of production function of technological windows of opportunities for the Arctic zone of Russia pointed to the presence of potential in the exploitation of emerging technological windows in the Arctic zone of Russia in the development of human capital through the activation and use of high labor productivity, creating high-performance jobs. The results of the study, its findings and its proposals can be used in the development, monitoring and implementation of state federal and regional programs and projects aimed at improving the level of technology and science intensity of production in the Arctic zone, improving its competitiveness, which is highly important for the national economy.

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Bridging the low-carbon technology gap? Assessing energy initiatives for the Global South

Weko

Goldthau

2022

Energy Policy

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Catching up through green windows of opportunity in an era of technological transformation: Empirical evidence from the Chinese wind energy sector

Cited by 28 publications

References 42 publications

Demand-led catch-up: a history-friendly model of latecomer development in the global green economy

Demand-led catch-up: a history-friendly model of latecomer development in the global green economy

Technological Windows of Opportunity for Russian Arctic Regions: Modeling and Exploitation Prospects

Bridging the low-carbon technology gap? Assessing energy initiatives for the Global South

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