Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model

Enhancing energy technology innovation performance, which is widely measured by energy technology patents through energy technology research and development (R&D) activities, is a fundamental way to implement energy conservation and emission abatement. This study analyzes the effects of R&D investment activities, economic growth, and energy price on energy technology patents in 30 provinces of China over the period 1999–2013. Several unit root tests indicate that all the above variables are generated by panel unit root processes, and a panel cointegration model is confirmed among the variables. In order to ensure the consistency of the estimators, the Fully-Modified OLS (FMOLS) method is adopted, and the results indicate that R&D investment activities and economic growth have positive effects on energy technology patents while energy price has a negative effect. However, the panel error correction models indicate that the cointegration relationship helps to promote economic growth, but it reduces R&D investment and energy price in the short term. Therefore, market-oriented measures including financial support and technical transformation policies for the development of low-carbon energy technologies, an effective energy price mechanism, especially the targeted fossil-fuel subsidies and their die away mode are vital in promoting China's energy technology innovation.     

Effects of substituting energy with capital on China's aggregated energy and environmental efficiency

Substituting energy with capital (SEC) in economic productions has become a common practice both for business owners and policy-makers to improve their energy and environmental efficiency. However, seldom previous studies on energy efficiency and/or environmental performance evaluation took this role into account. This paper aims to shed some light on the effects of SEC on China's aggregated energy and environmental efficiency (AEEE) within a parametric stochastic frontier analysis framework. Moreover, influencing factors of regional efficiency score are also discussed using a pooled regression model. The results indicate that SEC poses significant effects on improving China's AEEE, and this impact appears obvious regional variation that regions with lower efficiency scores hold more extensive potential to improve their AEEE by means of SEC. Furthermore, upgrading industrial structure and decreasing the proportion of coal in energy consumption make great sense to improve China's AEEE.     

Innovation and technology transfer through global value chains: Evidence from China's PV industry

China's success as a rapid innovation follower in the infant Photovoltaic (PV) industry surprised many observers. This paper explores how China inserted itself into global clean energy innovation systems by examining the case of the solar PV industry. The paper decomposes the global PV industrial value chain, and determines the main factors shaping PV technology transfer and diffusion. Chinese firms first entered PV module manufacturing through technology acquisition, and then gradually built their global competitiveness by utilizing a vertical integration strategy within segments of the industry as well as the broader PV value chain. The main drivers for PV technology transfer from the global innovation system to China are global market formation policy, international mobilization of talent, the flexibility of manufacturing in China, and belated policy incentives from China's government. The development trajectory of the PV industry in China indicates that innovation in cleaner energy technologies can occur through both global and national innovation processes, and knowledge exchange along the global PV value chain.     

Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA

The estimation of CO₂ emissions reduction potential in China is an important issue for China's energy policy. In this paper, data envelopment analysis (DEA) is used to evaluate the carbon emission performance of 29 Chinese provincial administrative regions (Tibet and Taiwan are not included since of data lack) by computing potential carbon emission reductions for energy conservation technology (ECT) and energy structural adjustment (ESA). The results reveal that ECT promotion and reductions in inter-regional technological disparity would be effective in reducing carbon emissions in technically inefficient regions. However, most of the provincial administrative regions investigated have an irrational energy structure and exhibit an overdependence on coal consumption, so ESA is required to reduce carbon emissions. Therefore, enormous emission reductions could be achieved by promoting ECT, developing renewable energy, increasing the proportion of non-fossil energy, delivering low-carbon energy and applying ESA. Based on the estimation, some policy implications and suitable suggestions are proposed for policy makers.     

Effective ways to reduce CO2 emissions from China's heavy industry? Evidence from semiparametric regression models

Using China's province-level panel data from 2005 to 2017, this article uses a semiparametric regression model to investigate CO₂ emissions in China's heavy industry. Empirical results show that while economic growth exerted carbon reduction effects in the eastern region, it stimulated the growth of CO₂ emissions in the central and western regions. This is mainly due to regional differences in industrial structure and the high-tech industry. Energy efficiency has made a greater contribution to reducing CO₂ emissions in the central region because the R&D investment and patent rights granted in this region has grown faster. The energy consumption structure has a more complex impact. It exerts a “pulling first, then restricting” (Ո-shaped) nonlinear effect on CO₂ emissions in the eastern and western regions, but an inverted “N-shaped” effect in the central region. This is mainly due to the differences in the composition of energy consumption across regions. Environmental regulations have a positive “U-shaped” nonlinear impact on CO₂ emissions in the eastern and western regions. It means that environmental regulations help cut down CO₂ emissions in the early stage, and the facilitation effect gradually disappears at the later stage. Conversely, environmental regulations produce an inverted “U-shaped” impact in the central region.     

Multiple timescale analysis and factor analysis of energy ecological footprint growth in China 1953–2006

Scientific analysis of energy consumption and its influencing factors is of great importance for energy strategy and policy planning. The energy consumption in China 1953–2006 is estimated by applying the energy ecological footprint (EEF) method, and the fluctuation periods of annual China's per capita EEF (EEF_cpc) growth rate are analyzed with the empirical mode decomposition (EMD) method in this paper. EEF intensity is analyzed to depict energy efficiency in China. The main timescales of the 37 factors that affect the annual growth rate of EEF_cpc are also discussed based on EMD and factor analysis methods. Results show three obvious undulation cycles of the annual growth rate of EEF_cpc, i.e., 4.6, 14.4 and 34.2 years over the last 53 years. The analysis findings from the common synthesized factors of IMF1, IMF2 and IMF3 timescales of the 37 factors suggest that China's energy policy-makers should attach more importance to stabilizing economic growth, optimizing industrial structure, regulating domestic petroleum exploitation and improving transportation efficiency.     

Regional development and carbon emissions in China

China announced at the Paris Climate Change Conference in 2015 that the country would reach peak carbon emissions around 2030. Since then, widespread attention has been devoted to determining when and how this goal will be achieved. This study aims to explore the role of China's changing regional development patterns in the achievement of this goal. This study uses the logarithmic mean Divisia index (LMDI) to estimate seven socioeconomic drivers of the changes in CO₂ emissions in China since 2000. The results show that China's carbon emissions have plateaued since 2012 mainly because of energy efficiency gains and structural upgrades (i.e., industrial structure, energy mix and regional structure). Regional structure, measured by provincial economic growth shares, has drastically reduced CO₂ emissions since 2012. The effects of these drivers on emissions changes varied across regions due to their different regional development patterns. Industrial structure and energy mix resulted in emissions growth in some regions, but these two drivers led to emissions reduction at the national level. For example, industrial structure reduced China's CO₂ emissions by 1.0% from 2013 to 2016; however, it increased CO₂ emissions in the Northeast and Northwest regions by 1.7% and 0.9%, respectively. Studying China's plateauing CO₂ emissions in the new normal stage at the regional level yields a strong recommendation that China's regions cooperate to improve development patterns.     

Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models

Renewable energy technology innovation can benefit the environment by promoting green productivity, as proposed by existing theoretical studies. However, recent uneven developments of both environmental performance and renewable energy technology among regions in China remind us to revisit the above theoretical link. In this paper, we relax the hypothesized homogeneity and linearity in traditional empirical models to investigate the effects of renewable energy technology innovation on China's green productivity. The results of the partially linear functional-coefficient models show that the effect of renewable energy technological innovation on green productivity is significant only when the relative income level of a province passes a critical turning point. Beyond the turning point, such an effect increases with the growth of relative income levels. Finally, we provide provincial specific policy implications based on the estimated nonparametric relationship between renewable energy technology innovation and green productivity.     

Analysis of patent applications in building-integrated photovoltaic technologies

以中国专利检索数据库(CPRS)中公开的太阳能建筑相关专利文献为基础,对光伏建筑一体化(BIPV)产业的专利技术分布状况,专利申请量,国内申请人及产业链进行了分析.太阳能建筑技术在最近几年发展尤为迅速,企业主导着该技术的发展方向;江苏,上海,浙江等中东部地区的光伏产业链较为完整;光伏产业的专利申请分布还反映了我国光伏行业"重制造,轻应用"的发展模式.     

Interactions between renewable energy policy and renewable energy industrial policy: A critical analysis of China's policy approach to renewable energies

This paper analyzes China's policy approach to renewable energies and assesses how effectively China has met the ideal of appropriate interactions between renewable energy policy and renewable energy industrial policy. First we briefly discuss the interactions between these two policies. Then we outline China's key renewable energy and renewable industrial policies and find that China's government has well recognized the need for this policy interaction. After that, we study the achievements and problems in China's wind and solar PV sector during 2005–2012 and argue that China's policy approach to renewable energies has placed priority first on developing a renewable energy manufacturing industry and only second on renewable energy itself, and it has not effectively met the ideal of appropriate interactions between renewable energy policy and renewable energy industrial policy. Lastly, we make an in-depth analysis of the three ideas underlying this policy approach, that is, the green development idea, the low-carbon leadership idea and indigenous innovation idea. We conclude that Chinas' policy approach to renewable energies needs to enhance the interactions between renewable energy policy and renewable energy industrial policy. The paper contributes to a deeper understanding of China's policy strategy toward renewable energies.     

Total-factor energy productivity growth of regions in Japan

This article computes the energy productivity changes of regions in Japan using total-factor frameworks based on data envelopment analysis (DEA). Since the traditional DEA-Malmquist index cannot analyze changes in single-factor productivity changes under the total-factor framework, we apply a new index proposed by Hu and Chang [2009. Total-factor energy productivity growth of regions in China. Energy Policy, submitted for publication]: a total-factor energy productivity change index (TFEPI) that integrates the concept of the total-factor energy efficiency index into the Malmquist productivity index (MPI). Moreover, we separate TFEPI into change in relative energy efficiency, or the ‘catching up effect,’ and shift in the technology of energy use, or the ‘innovation effect.’ The data from 47 prefectures during the period of 1993–2003 are used to compute the TFEPI and its components for 4 kinds of energy. The TFEPI of electric power for commercial and industrial use changes −0.6% annually, which can be separated into a total-factor energy efficiency change of 0.2% and a technical change of −0.8%. The TFEPI for coal deteriorates by 1.0%/year, which is mostly caused by a decrease in relative energy efficiency change. We define and identify ‘innovators’ who cause the frontier to shift. Most regions identified as frontier shifters are located outside of Japan's four major industrial areas.     

Study on the hydrogen demand in China based on system dynamics model

Reasonable estimation of hydrogen energy and other renewable energy demand of China's medium and long-term energy is of great significance for China's medium and long-term energy plan. Therefore, based on both China's future economic development and relative economic theory and system dynamics theory, this article analyzes qualitatively the internal factors and external factors of hydrogen energy demand system, and makes the state high and low two assumptions about China's medium and long-term hydrogen demand according to the different speed of China's economic development. After the system dynamic model setting up export and operation, the output shows the data changes of the total hydrogen demand and the four kinds of hydrogen demand. According to the analysis of the output, two conclusions are concluded: The secondary industry, not the tertiary industry (mainly the transportation), should be firstly satisfied by the hydrogen R&D and support of Government policy. Change of Chinese hydrogen demand scale, on basis of its economic growth, can not be effective explained through Chinese economic growth rate, and other influencing factor and mechanism should be probed deeply.     

Scaling up concentrating solar thermal technology in China

More than 1300 GW new generating capacity will be added in China's power sector over the period 2005–2030 under the BAU scenario in [1], even higher than the total installed capacity in the United States to date. China’s industrial and service sectors are expected to maintain rapid development rate over the next decades, driving up the demand for electric power and heat. However, China’s power and industrial process heat generation are heavily relying upon coal-fired thermal power plants resulting in tremendous rise in greenhouse gas emissions. Clean technology such as concentrating solar thermal (CST) needs to play a more important role in power and heat generation in China to accelerate the decarbonisation in the power sector and commercial and industrial process heat generation cost-effectively. This paper attempts to explore the opportunity and challenge of development and deployment of CST in China from both technical and socioeconomic analysis perspectives. It is argued that rapid deployment of CST in China will contribute to enabling sustainable energy supply and environmental securities, as well as improved economic performance in new technology innovation in Asia Pacific area over the next decades. Supportive policy framework should be set up to encourage scaling up CST industry. The success of deployment of CST technology will also allow Chinese power and heat generators to strengthen their competitiveness in the context of intensified global constraint of carbon emissions. Institutional innovation and policy instruments for scaling up this technology and the enabling conditions of successful implementation are also investigated.     

Does electricity price matter for innovation in renewable energy technologies in China?

Though the development of renewable energy is rapid, innovation in renewable energy technologies is relatively weak due to the late commencement of renewable energy in China. In addition, renewable energy is mainly introduced into the supply mix of electricity generation, which increases the costs of electricity generation. Higher electricity price will make renewable energy more competitive and call forth renewable energy technological innovation. Based on FMOLS and DOLS models, as well as PMG model, this paper investigates the induced long and short run effects of electricity price, funding support, and economic growth on innovation in renewable energy technologies at the provincial level in China during the period 2006–2016. The Conclusions drawn were: (1) R&D expenditure and economic growth have positive impacts on innovation in renewable energy technologies in the long and short run; (2) Electricity price only has a long run effect on patenting in renewable energy technologies; (3) In the long run, a 1% increase in electricity price can lead to a 0.7825%–1.0952% increase in the patent counts of renewable energy technologies; (4) Electricity pricing system in China does not play any role in driving renewable energy technological innovation in the short run.     

Industrial relocation and energy consumption: Evidence from China

With economic development and the change of industrial structure, industrial relocation is an inevitable trend. In the process of industrial relocation, environmental externality and social cost could occur due to market failure and government failure. Little attention has been paid to this issue. In this paper, we address it with a theoretical analysis and an empirical investigation on the relationship between China's industrial relocation in the early 1990s and energy consumption which is the primary source of CO₂ emission, an environmental externality that causes increasing concerns. The macro-policy analysis suggests that there would be a positive link between China's industrial relocation in the early 1990s and energy saving (and environmental externalities reduction). Using fixed-effect regression model and simulation method, we provide an empirical support to this argument. In order to further reduce environmental externalities and social cost in the process of industrial relocation, we provide policy suggestions as follows: First, strengthen the evaluation of environmental benefits/costs; Second, pay more attention to the coordinated social-economic development; Third, avoid long-lived investment in high-carbon infrastructure in areas with industries moved in; Fourth, address employment issue in the areas with industries moved out.     

An investigation into the present situation and characteristics of china's energy consumption

The present situation of China's energy consumption and its composition in the past decade is introduced in this paper. The characteristics of energy consumption in China are: energy sources are mainly supplied domestically; coal predominates in the composition of energy consumption (average 725%); industrial energy consumption takes the largest proportion of the final energy consumption (average 65.6%); the utilization efficiency of energy is low; serious environmental pollution is caused by coal combustion. It is necessary to conduct technology innovation for energy conservation because of the low efficiency utilization of energy by appliances and the backwardness of industrial technologies. China must carry out continuously the principle ‘lay equal stress on development and conservation and give priority to conservation in the near future’ with the idea that the economy will have a high growth rate.     

Study on China's low carbon development in an Economy–Energy–Electricity–Environment framework

Emissions mitigation is a major challenge for China's sustainable development. We summarize China's successful experiences on energy efficiency in past 30 years as the contributions of Energy Usage Management and Integrated Resource Strategic Planning, which are essential for low-carbon economy. In an Economy–Energy–Electricity–Environment (E4) framework, the paper studies the low-carbon development of China and gives an outlook of China's economy growth, energy–electricity demand, renewable power generation and energy conservation and emissions mitigation until 2030. A business-as-usual scenario is projected as baseline for comparison while low carbon energy and electricity development path is studied. It is defined as low carbon energy/electricity when an economy body manages to realize its potential economic growth fueled by less energy/electricity consumption, which can be characterized by indexes of energy/electricity intensity and emissions per-unit of energy consumption (electricity generation). Results show that, with EUM, China, could save energy by 4.38 billion ton oil equivalences (toes) and reduce CO₂ emission by 16.55 billion tons; with IRSP, China, could save energy by 1.5 Btoes and reduce CO₂ emission by 5.7 Btons, during 2010–2030. To realize the massive potential, China has to reshape its economic structure and rely much on technology innovation in the future.     

Designing an emissions trading scheme for China with a dynamic computable general equilibrium model

To fulfill its Copenhagen pledges to control carbon emissions and mitigate climate change, China plans to establish a nationwide emissions trading scheme (ETS) in 2016. This paper develops a multi-sector dynamic computable general equilibrium model with an ETS module to study the appropriate ETS policy design, including a carbon cap, permit allocation and supplementary policies (e.g., penalty policies and subsidy policies). The main results are as follows. (1) To achieve China's Copenhagen pledge, the equilibrium nationwide carbon price is observed to be between 36 and 40 RMB yuan per metric ton. (2) The ETS policy has a cost-effective mitigation effect by improving China's production and energy structures with relatively little economic harm. (3) Various ETS sub-policies should be carefully designed to balance economic growth and carbon mitigation. In particular, the carbon cap should be set according to China's Copenhagen pledge. A relatively large distribution ratio of free permits, the output-based grandfathering rule for free permits, a penalty price (on illegitimate emissions) slightly above the carbon price, and a sufficient subsidy (from ETS revenue) are strongly recommended in the early stages to avoid significant economic loss. These designs can be adjusted in later stages to enhance the mitigation effect.     

China's energy-water nexus – assessment of the energy sector's compliance with the “3 Red Lines” industrial water policy

Increasing population and economic growth continue to drive China's demand for energy and water resources. The interaction of these resources is particularly important in China, where water resources are unevenly distributed, with limited availability in coal-rich regions. The “3 Red Lines” water policies were introduced in 2011; one of their aims is to reduce industrial water use, of which the energy sector is a part. This paper analyses current water withdrawals and consumption for all energy processes and assesses the sector's compliance with the industrial water policy under different scenarios, considering potential future policy and technological changes. The results show that future energy plans could conflict with the industrial water policy, but the amount of water used in the energy sector is highly dependant on technology choices, especially for power plant cooling. High electricity demand in the future is expected to be met mainly by coal and nuclear power, and planned inland development of nuclear power presents a new source of freshwater demand. Taking a holistic view of energy and water-for-energy enables the identification of co-benefits and trade-offs between energy and water policies that can facilitate the development of more compatible and sustainable energy and water plans.     

Development trend and countermeasure of electric power storage based on patent analysis

随着能源互联网发展，电力储能技术越来越重要，它是电网运行过程中“采发输变配用储”等各大环节的重要组成部分，特别是储能电池、储能控制、储能系统集成、储能管理运营等的储能领域相关技术非常关键，技术竞争也日趋激烈。专利信息是自主创新成果的重要载体，是开展竞争情报的重要信息源。基于专利视角，利用先进的语义专利检索系统，对电力储能领域专利的申请量、同族、PCT、地域、申请人、申请人与国际分类分布等进行分析，揭示电力储能领域研发态势和专利竞争态势，为我国政府、企业、科研院所等在电力储能领域的研发决策、产业化布局等方面提出专利战略先行，制定研发路径；根据储能市场和自身战略，考虑合理布局国内与国际市场；聚焦各自优势形成技术竞争壁垒，掌握话语权等三方面建设性发展对策。