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Ruiqi Wang is a Ph.D. candidate in economics at the School of Economics and Finance, Xi’an Jiaotong University, China. Her research focuses on the energy economy.
The role of innovation for economic growth has been proved by studies. However, whether innovation can decrease environmental cost and energy security risks remains to be studied. To explore the theoretical mechanism of driving green economic growth by innovation, we constructed a four-sector endogenous growth model, including the final-goods sector, the intermediate-goods sector, the Research and Development (R&D) sector, and the energy sector. Then we measured the innovation-driven effect of green growth and calculated the green added value of 40 industries in China during 2005–2016. Based on the calculations, we used a threshold regression model to test the mechanism of driving green growth and decreasing energy security risks by innovation. The results showed that: (1) the innovation-driven effect on green growth increased from 0.2729 in 2005 to 0.3446 in 2016. (2) The proportion of green added value in the traditionally added value increased from 79.54% in 2005 to 92.25% in 2016. (3) Innovation had a threshold effect on green growth: the role of innovation in driving green growth weakened in the long term, but not in the short term (4) Innovation also had a threshold effect on energy security risk: after the innovation-driven effect crossed the threshold, innovation decreased energy security risk more significantly.
Feng Wang; Ruiqi Wang. The Mechanism of Driving Green Growth and Decreasing Energy Security Risks by Innovation in China. Sustainability 2021, 13, 4733 .
AMA StyleFeng Wang, Ruiqi Wang. The Mechanism of Driving Green Growth and Decreasing Energy Security Risks by Innovation in China. Sustainability. 2021; 13 (9):4733.
Chicago/Turabian StyleFeng Wang; Ruiqi Wang. 2021. "The Mechanism of Driving Green Growth and Decreasing Energy Security Risks by Innovation in China." Sustainability 13, no. 9: 4733.
China has implemented the energy intensity target (EIT) constraint policy to improve its energy efficiency for more than three decades. Producers in China need to consider factor prices, outputs, and EIT constraint while they plan the number of input factors. Therefore, this article brings the EIT into the conditional input demand function of an input factor and assesses the impacts of the elasticity of substitution between different production factors. By building two-factor substitution elasticity models with and without EIT constraints, this paper examines the impacts of EIT constraint on the elasticity of substitution between input factors in both the fossil fuel production sector and the non-fossil-fuel production sector. The main conclusions are, firstly, EIT constraint influences both own-price elasticity of an input factor and cross-price elasticity between different input factors. Secondly, EIT constraint hinders the responses of some input factors to the price changes of other input factors, and changes relationships between some input factors from complementary to substitute, or vice versa. Two policy implications are obtained. First, producers should consider the impacts of EIT constraint on their investment, labor input, energy input, and raw materials purchase and bring these impacts into their business strategies. Second, reducing energy input by changing prices of other production factors will be ineffective under EIT constraint.
Feng Wang; Xiying Liu; David M. Reiner; Ruiqi Wang. Impacts of energy intensity target constraint on elasticity of substitution between production factors in China. Energy Efficiency 2021, 14, 1 -26.
AMA StyleFeng Wang, Xiying Liu, David M. Reiner, Ruiqi Wang. Impacts of energy intensity target constraint on elasticity of substitution between production factors in China. Energy Efficiency. 2021; 14 (3):1-26.
Chicago/Turabian StyleFeng Wang; Xiying Liu; David M. Reiner; Ruiqi Wang. 2021. "Impacts of energy intensity target constraint on elasticity of substitution between production factors in China." Energy Efficiency 14, no. 3: 1-26.
Over the previous two decades, Chinese economic development presented a rapid growth. However, with continuous industrialization and urbanization, China is confronted with great challenges of energy security and environmental issues. These problems are closely related to the current accounting method of economic growth to a certain extent. In order to meet these challenges, it is imperative to establish a green accounting system of economic growth and measure China’s green GDP and its changing trend based on the industrial perspective. Using the System of Environmental Economic Accounting (SEEA) and industry data, this paper estimates China’s green GDP and green value added by industry sectors in 2005, 2007, 2010, 2012, 2015, and 2017. The results reveal the following: First, the ratio of green GDP to traditional GDP gradually increases from 89.85 to 95.83% during 2005–2017, which means that the negative externalities of economic growth of the resource and environment are gradually weakened. Second, the difference between traditional GDP and green GDP during 2005–2017 is about 6.96%, with the carbon emissions accounting for 70.71% of environmental impact. Third, due to more than 80% of the environmental impact coming from three sectors: manufacturing (49.99%), electricity industry (22.63%), and other services (11.37%), these three sectors should be key sectors for energy conservation and emission reduction; fourth, the green GDP of the mining, electricity industries, and manufacturing accounts for the lowest proportion of GDP, which means that the development patterns of these three industries in recent years should be adjusted and optimized step by step.
Feng Wang; Ruiqi Wang; Junyao Wang. Measurement of China’s green GDP and its dynamic variation based on industrial perspective. Environmental Science and Pollution Research 2020, 27, 43813 -43828.
AMA StyleFeng Wang, Ruiqi Wang, Junyao Wang. Measurement of China’s green GDP and its dynamic variation based on industrial perspective. Environmental Science and Pollution Research. 2020; 27 (35):43813-43828.
Chicago/Turabian StyleFeng Wang; Ruiqi Wang; Junyao Wang. 2020. "Measurement of China’s green GDP and its dynamic variation based on industrial perspective." Environmental Science and Pollution Research 27, no. 35: 43813-43828.