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Decai Tang
China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China

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Journal article
Published: 26 July 2021 in Sustainability
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Governments design and implement policies to achieve a variety of goals, but perhaps none are as pressing as shifting national economies away from non-renewable fuels and towards more sustainable, environmentally-friendly technologies. To incentivize such transitions, governments provide subsidies to private and public companies to innovate, i.e., to engage in research and development (R&D) to develop those technologies. However, the question of the companies is using government subsidies (GS) to perform R&D and its answer determines the effectiveness of government policies. Consequently, this paper seeks to answer this question through investigating Chinese lithium-ion battery (LiB) firms and the GS they receive through novel usage of information flow (IF). Hausman tests, fixed- and random-effects models confirmed a weak, though positive correlation between GS and R&D as determined by patent output (PO), but interestingly, observations of IF intimated that GS also affected other variables such as net profit (NP) and main business income (MBI). This suggests that firms are being awarded GS for higher PO, but a corresponding increase in R&D and its expected growth in company performance is not occurring. Thus, it is suggested that performance variables other than PO be used as firms may ab (use) this metric to apply for more GS, rather than performing R&D that leads to technological breakthroughs.

ACS Style

Yana Buravleva; Decai Tang; Brandon Bethel. Incentivizing Innovation: The Causal Role of Government Subsidies on Lithium-Ion Battery Research and Development. Sustainability 2021, 13, 8309 .

AMA Style

Yana Buravleva, Decai Tang, Brandon Bethel. Incentivizing Innovation: The Causal Role of Government Subsidies on Lithium-Ion Battery Research and Development. Sustainability. 2021; 13 (15):8309.

Chicago/Turabian Style

Yana Buravleva; Decai Tang; Brandon Bethel. 2021. "Incentivizing Innovation: The Causal Role of Government Subsidies on Lithium-Ion Battery Research and Development." Sustainability 13, no. 15: 8309.

Journal article
Published: 15 January 2020 in International Journal of Environmental Research and Public Health
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The Yangtze River Economic Belt (YREB) is an essential part of China’s goal of reducing its national carbon emissions. Focusing on economic and social development, the development of science and technology, carbon sinks, energy consumption, and carbon emissions, this paper uses “the Technique for Order of Preference by Similarity to Ideal Solution mode” (TOPSIS) and “an obstacle factor diagnosis method” to measure the reduction capacity of each province and municipality of the YREB. Key obstacles to achieving the goal of carbon emission reduction are also identified. The main finding is that the emission reduction capacities of Shanghai, Jiangsu and Zhejiang in China’s east is far greater than that of all other provinces and municipalities, the main obstacle of Shanghai, Jiangsu, and Zhejiang are carbon sinks, energy consumption and carbon emission, and other provinces and municipalities are social and economic development. Taking into consideration those evaluation results and obstacles, paths for carbon emission reduction are delineated through a four-quadrant matrix method with intent to provide suitable references for the development of a low-carbon economy in the YREB.

ACS Style

Decai Tang; Yan Zhang; Brandon J Bethel. A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt. International Journal of Environmental Research and Public Health 2020, 17, 545 .

AMA Style

Decai Tang, Yan Zhang, Brandon J Bethel. A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt. International Journal of Environmental Research and Public Health. 2020; 17 (2):545.

Chicago/Turabian Style

Decai Tang; Yan Zhang; Brandon J Bethel. 2020. "A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt." International Journal of Environmental Research and Public Health 17, no. 2: 545.

Journal article
Published: 19 April 2019 in Sustainability
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As one of the “three major strategies” for China’s regional development, the Yangtze River Economic Belt (YREB) is under severe pressure to reduce carbon dioxide emissions, this paper analyzes the spatiotemporal disparities, and driving factors of carbon emissions based on energy consumption and related economic development data in the YREB over the 2005–2016 11-year period. Using the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model, we empirically test the factors affecting YREB carbon emissions and key drivers in various provinces and municipalities. The main findings are as follows. First, per capita GDP, both industrial structure and energy intensity have positive effects on increasing carbon emissions. Second, per capita GDP and energy intensity have the largest impact on the increase of carbon emissions, and the urbanization rate has the largest inhibitory effect on carbon emissions.

ACS Style

Decai Tang; Yan Zhang; Brandon J. Bethel. An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt. Sustainability 2019, 11, 2362 .

AMA Style

Decai Tang, Yan Zhang, Brandon J. Bethel. An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt. Sustainability. 2019; 11 (8):2362.

Chicago/Turabian Style

Decai Tang; Yan Zhang; Brandon J. Bethel. 2019. "An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt." Sustainability 11, no. 8: 2362.

Journal article
Published: 13 October 2016 in Sustainability
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According to the economic and energy consumption statistics in Jiangsu Province, we combined the GM (1, 1) grey model and polynomial regression to forecast carbon emissions. Historical and projected emissions were decomposed using the Logarithmic Mean Divisia Index (LMDI) approach to assess the relative contribution of different factors to emission variability. The results showed that carbon emissions will continue to increase in Jiangsu province during 2015–2020 period and cumulative carbon emissions will increase by 39.5487 million tons within the forecast period. The growth of gross domestic product (GDP) per capita plays the greatest positive role in driving carbon emission growth. Furthermore, the improvement of energy usage efficiency is the primary factor responsible for reducing carbon emissions. Factors of population, industry structure adjustment and the optimization of fuel mix also help to reduce carbon emissions. Based on the LMDI analysis, we provide some advice for policy-makers in Jiangsu and other provinces in China.

ACS Style

Decai Tang; Tingyu Ma; Zhijiang Li; Jiexin Tang; Brandon J. Bethel. Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020. Sustainability 2016, 8, 1018 .

AMA Style

Decai Tang, Tingyu Ma, Zhijiang Li, Jiexin Tang, Brandon J. Bethel. Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020. Sustainability. 2016; 8 (10):1018.

Chicago/Turabian Style

Decai Tang; Tingyu Ma; Zhijiang Li; Jiexin Tang; Brandon J. Bethel. 2016. "Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020." Sustainability 8, no. 10: 1018.