Abstract
Background: The sustainable development of the building industry has drawn increasing attention around the world. Nanomaterials and nanotechnology play an important role in the processes of energy saving and reducing consumption in the building industry. Nanotechnology patents provide key technological support for the green development of the building industry. Based on patent data in China, this paper quantitatively analyzed the application of nanotechnology patents in the building industry and the time trend, regional differences, and evolution of China's nano-patent applications in the building field.
Methods: In this study, the environmental total factor productivity of the building industry considering carbon constraints was determined and then used as the dependent variable to measure the green development of the building industry. On this basis, a panel data regression model was constructed to determine the impact of nano-patents on the green development of the building industry.
Results: Nanotechnology patents in the building industry can significantly improve total factor productivity. From the perspective of patent composition, technology-based patents that focus on substantial innovation can significantly promote the green development of the building industry, whereas strategic patents show a significant inhibitory effect. Regionally, the western region of China has the advantage of being less developed and thus more efficient than the central and eastern regions in the application of new nano-products. Finally, the research also showed a significant lag in the application of China's nanotechnology patents and low implementation efficiency.
Conclusion: Nano patents can promote green development in the building industry, but there is room for improvement in the speed with which laboratory inventions are transformed into building engineering applications.
Keywords: Nanomaterials, nanotechnology, patent, building, energy efficiency, green development, environment.
Graphical Abstract
[1]
Li Y, Chiu Y, Lu LC. Energy and AQI performance of 31 cities in China. Energy Policy 2018; 122: 194-202.
[http://dx.doi.org/10.1016/j.enpol.2018.07.037]
[http://dx.doi.org/10.1016/j.enpol.2018.07.037]
[2]
Zhang Z, Liu R. Carbon emission in building sector based on input-output analyses. J Qinghua Univ 2013; 53: 53-7.
[3]
Gao T, Shen L, Shen M. Evolution and projection of CO2 emissions for China’s cement industry from 1980 to 2020. Renew Sustain Energy Rev 2017; 74: 522-37.
[http://dx.doi.org/10.1016/j.rser.2017.02.006]
[http://dx.doi.org/10.1016/j.rser.2017.02.006]
[4]
Nassen J, Holmberg J, Wadeskog A, et al. Direct and indirect energy use and carbon emissions in the production phase of buildings: An input-output analysis. Energy 2007; 32(9): 1593-602.
[http://dx.doi.org/10.1016/j.energy.2007.01.002]
[http://dx.doi.org/10.1016/j.energy.2007.01.002]
[5]
Zhang ZH, Liu RJ. Carbon emission in the construction sector based on input-output analyses. J Qinghua Univ 2013; 53(1): 53-7.
[6]
Guo J, Gu B, Sun X, Xue J, Yuan B. Communication Barrier, Spillover Effect and Industrial-Technological Innovation. Sustainability 2019; 11(18): 4841.
[http://dx.doi.org/10.3390/su11184841]
[http://dx.doi.org/10.3390/su11184841]
[7]
Ji JY, Jiang XK. Carbon emissions prediction study in China’s construction industry. J Ocean Univ China 2012; (1): 53-7.
[8]
Lin BQ, Liu HX. CO2 emissions of China’s commercial and residential buildings: Evidence and reduction policy. Build Environ 2015; 92: 418-31.
[http://dx.doi.org/10.1016/j.buildenv.2015.05.020]
[http://dx.doi.org/10.1016/j.buildenv.2015.05.020]
[9]
Gülşan ME, Alzeebaree R, Rasheed AA. Development of fly ash/slag based self-compacting geopolymer concrete using nano-silica and steel fiber. Constr Build Mater 2019; 211: 271-83.
[http://dx.doi.org/10.1016/j.conbuildmat.2019.03.228]
[http://dx.doi.org/10.1016/j.conbuildmat.2019.03.228]
[10]
Alomayri T. experimental study of the microstructural and mechanical properties of geopolymer paste with nano material (al2o3). j build eng 2019.25100788 2019.
[http://dx.doi.org/10.1016/j.jobe.2019.100788]
[http://dx.doi.org/10.1016/j.jobe.2019.100788]
[11]
Baglieri D, Cesaroni F, Orsi L. Does the nano-patent ‘Gold rush’ lead to entrepreneurial-driven growth? Some policy lessons from China and Japan. Technovation 2014; 34(12): 746-61.
[http://dx.doi.org/10.1016/j.technovation.2014.07.009]
[http://dx.doi.org/10.1016/j.technovation.2014.07.009]
[12]
Li PP, Zhang XD, Zhang S. Structures and fractal characteristics of pores in low volatile bituminous deformed coals by low-temperature N-2 adsorption after different solvents treatments. Fuel 2018; 224: 661-75.
[http://dx.doi.org/10.1016/j.fuel.2018.03.067]
[http://dx.doi.org/10.1016/j.fuel.2018.03.067]
[13]
Chen L. Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations. J Informetrics 2017; 11(1): 63-79.
[http://dx.doi.org/10.1016/j.joi.2016.04.018]
[http://dx.doi.org/10.1016/j.joi.2016.04.018]
[14]
Choudhury T, Misra NM. Thermal stability of PMMA clay hybrids. Bull Mater Sci 2010; 33(2): 165-168-->.
[http://dx.doi.org/10.1007/s12034-010-0023-y]
[http://dx.doi.org/10.1007/s12034-010-0023-y]
[15]
Ganguli P. Patenting issues in the development of nano biopesticidesNano-Biopesticides Today and Future Perspectives, Koul, O. Ed Academic Press 2019; pp. 367-95.
[http://dx.doi.org/10.1016/B978-0-12-815829-6.00017-6]
[http://dx.doi.org/10.1016/B978-0-12-815829-6.00017-6]
[16]
Guan J, Liu N. Invention profiles and uneven growth in the field of emerging nano-energy. Energy Policy 2015; 76: 146-57.
[http://dx.doi.org/10.1016/j.enpol.2014.11.024]
[http://dx.doi.org/10.1016/j.enpol.2014.11.024]
[17]
Huang H, Su H. The innovative fulcrums of technological interdisciplinarity: An analysis of technology fields in patents. Technovation 2019; 84: 59-70.
[http://dx.doi.org/10.1016/j.technovation.2018.12.003]
[http://dx.doi.org/10.1016/j.technovation.2018.12.003]
[18]
Gao Y, Luo H, Zhang Z, et al. Nanoceramic VO2 thermochromic smart glass: A review on progress in solution processing. Nano Energy 2012; 1(2): 221-46.
[http://dx.doi.org/10.1016/j.nanoen.2011.12.002]
[http://dx.doi.org/10.1016/j.nanoen.2011.12.002]
[19]
Xie N, Li H, Abdelhady A, et al. Laboratorial investigation on optical and thermal properties of cool pavement nano-coatings for urban heat island mitigation. Build Environ 2019; 147: 231-40.
[http://dx.doi.org/10.1016/j.buildenv.2018.10.017]
[http://dx.doi.org/10.1016/j.buildenv.2018.10.017]
[20]
Kumar A, Gokhale A, Ghosh S. Effect of nano-sized sintering additives on microstructure and mechanical properties of Si3N4 ceramics. Mater Sci Eng 2019; 750: 132-40.
[http://dx.doi.org/10.1016/j.msea.2019.02.020]
[http://dx.doi.org/10.1016/j.msea.2019.02.020]
[21]
Liu ZY, Sun XL. The temporal - spatial evolution and motivation analysis of green total factor productivity in Chinese logistics industry. Soft Sci 2018; 32: 77-81.
[22]
Wei C, Löschel A, Liu B. Energy-saving and emission abatement potential of Chinese coal-fired power enterprise: a non-parametric analysis. Energy Econ 2015; 49: 33-43.
[http://dx.doi.org/10.1016/j.eneco.2015.02.002]
[http://dx.doi.org/10.1016/j.eneco.2015.02.002]
[23]
Xiao H, Wei QP, Wang HL. Marginal abatement cost and carbon reduction potential outlook of key energy efficiency technologies in China’s building sector to 2030. Energy Policy 2014; 69: 92-105.
[http://dx.doi.org/10.1016/j.enpol.2014.02.021]
[http://dx.doi.org/10.1016/j.enpol.2014.02.021]
[24]
Tan XC, Lai HP, Gu BH, et al. Carbon emission and abatement potential outlook in China’s building sector through 2050. Energy Policy 2018; 118: 429-39.
[http://dx.doi.org/10.1016/j.enpol.2018.03.072]
[http://dx.doi.org/10.1016/j.enpol.2018.03.072]
[25]
Hu XC, Liu CL. Carbon productivity: A case study in the Australian construction industry. J Clean Prod 2016; 112: 2354-62.
[http://dx.doi.org/10.1016/j.jclepro.2015.10.042]
[http://dx.doi.org/10.1016/j.jclepro.2015.10.042]
[26]
Yun L, Lu L, Zhe Y. Characteristic analysis of the CNT technical innovation based on patentometrics. Sci Res Manag 2016; 37: 337-45.
[27]
Jiang J, Wu L. Comparative study on talent distribution in china-american nanotechnology based on patent analysis. Sci Manag Res 2016; 34: 84-8.
[28]
Miyamoto M, Takeuchi K. Climate agreement and technology diffusion: Impact of the Kyoto Protocol on international patent applications for renewable energy technologies. Energy Policy 2019; 129: 1331-8.
[http://dx.doi.org/10.1016/j.enpol.2019.02.053]
[http://dx.doi.org/10.1016/j.enpol.2019.02.053]
[29]
Wang B, Liu Y, Zhou Y. Emerging nanogenerator technology in China: A review and forecast using integrating bibliometrics, patent analysis and technology roadmapping methods. Nano Energy 2018; 46: 322-30.
[http://dx.doi.org/10.1016/j.nanoen.2018.02.020]
[http://dx.doi.org/10.1016/j.nanoen.2018.02.020]
[30]
Blind K, Pohlisch J, Zi A. Publishing, patenting, and standardization: Motives and barriers of scientists. Res Policy 2018; 47(7): 1185-97.
[http://dx.doi.org/10.1016/j.respol.2018.03.011]
[http://dx.doi.org/10.1016/j.respol.2018.03.011]
[31]
Li PP, Zhang XD, Zhang S. Response of methane diffusion in varying degrees of deformed coals to different solvent treatments. Curr Sci 2018; 115: 2155-61.
[http://dx.doi.org/10.18520/cs/v115/i11/2155-2161]
[http://dx.doi.org/10.18520/cs/v115/i11/2155-2161]
[32]
Jokanović B, Lalic B, Milovančević M. Economic development evaluation based on science and patents. Physica A 2017; 481: 141-5.
[http://dx.doi.org/10.1016/j.physa.2017.04.015]
[http://dx.doi.org/10.1016/j.physa.2017.04.015]
[33]
De D, Das JC. Design of Nano communication networks using quantum dot cellular automata. Quantum Matter 2017; 6(1): 74-80.
[http://dx.doi.org/10.1166/qm.2017.1401]
[http://dx.doi.org/10.1166/qm.2017.1401]
[34]
Gong R, Chen G. Preparation and application of functionalized nano drug carriers. Saudi Pharm J 2016; 24(3): 254-7.
[http://dx.doi.org/10.1016/j.jsps.2016.04.010 PMID: 27275111]
[http://dx.doi.org/10.1016/j.jsps.2016.04.010 PMID: 27275111]
[35]
Agrawal Y, Petkar KC, Sawant KK. Development, evaluation and clinical studies of Acitretin loaded nanostructured lipid carriers for topical treatment of psoriasis. Int J Pharm 2010; 401(1-2): 93-102.
[http://dx.doi.org/10.1016/j.ijpharm.2010.09.007 PMID: 20858539]
[http://dx.doi.org/10.1016/j.ijpharm.2010.09.007 PMID: 20858539]
[36]
Aslani A, Bakhtiar A, Akbarzadeh MH. Energy-efficiency technologies in the building envelope: Life cycle and adaptation assessment. J Build Eng 2019; 21: 55-63.
[http://dx.doi.org/10.1016/j.jobe.2018.09.014]
[http://dx.doi.org/10.1016/j.jobe.2018.09.014]
[37]
Javadi FS, Saidur R. Energetic, economic and environmental impacts of using nano refrigerant in domestic refrigerators in Malaysia. Energy Convers Manage 2013; 73: 335-9.
[http://dx.doi.org/10.1016/j.enconman.2013.05.013]
[http://dx.doi.org/10.1016/j.enconman.2013.05.013]
[38]
Ma S, Feng L, Yin Y, Wang J. Research on petroleum patent valuation based on Value Capture Theory (VCT). World Pat Inf 2019; 56: 29-38.
[http://dx.doi.org/10.1016/j.wpi.2018.10.004]
[http://dx.doi.org/10.1016/j.wpi.2018.10.004]
[39]
Maskus KE, Milani S, Neumann R. The impact of patent protection and financial development on industrial R&D. Res Policy 2019; 48(1): 355-70.
[http://dx.doi.org/10.1016/j.respol.2018.09.005]
[http://dx.doi.org/10.1016/j.respol.2018.09.005]
[40]
Noailly J, Batrakova S. Stimulating energy-efficient innovations in the Dutch building sector: Empirical evidence from patent counts and policy lessons. Energy Policy 2010; 38(12): 7803-17.
[http://dx.doi.org/10.1016/j.enpol.2010.08.040]
[http://dx.doi.org/10.1016/j.enpol.2010.08.040]
[41]
Pertuze JA, Reyes T, Vassolo RS, Olivares N. Political uncertainty and innovation: The relative effects of national leaders’ education levels and regime systems on firm-level patent applications. Res Policy 2019; 48(9)103808
[http://dx.doi.org/10.1016/j.respol.2019.103808]
[http://dx.doi.org/10.1016/j.respol.2019.103808]
[42]
Verbandt Y, Vadot E. non-patent literature search at the european patent office. world pat inf 2018; 54: s72-7.
[43]
Shermeh HE, Najafi SE, Alavidoost MH. A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies. Energy 2016; 112: 686-97.
[http://dx.doi.org/10.1016/j.energy.2016.06.087]
[http://dx.doi.org/10.1016/j.energy.2016.06.087]
[44]
Tang D, Tang J, Xiao Z. Environmental regulation efficiency and total factor productivity-Effect analysis based on Chinese data from 2003 to 2013. Ecol Indic 2017; 73: 312-8.
[http://dx.doi.org/10.1016/j.ecolind.2016.08.040]
[http://dx.doi.org/10.1016/j.ecolind.2016.08.040]
[45]
Lin B, Benjamin NI. Influencing factors on carbon emissions in China transport industry. A new evidence from quantile regression analysis. J Clean Prod 2017; 150: 175-87.
[http://dx.doi.org/10.1016/j.jclepro.2017.02.171]
[http://dx.doi.org/10.1016/j.jclepro.2017.02.171]
[46]
Bandyopadhyay D, King I, Tang X. Human capital misallocation, redistributive policies, and TFP. J Macroecon 2019; 60: 309-24.
[http://dx.doi.org/10.1016/j.jmacro.2019.02.005]
[http://dx.doi.org/10.1016/j.jmacro.2019.02.005]
[47]
Barseghyan L, DiCecio R. Entry costs, industry structure, and cross-country income and TFP differences. J Econ Theory 2011; 146(5): 1828-51.
[http://dx.doi.org/10.1016/j.jet.2011.05.010]
[http://dx.doi.org/10.1016/j.jet.2011.05.010]
[48]
Bournakis I, Mallick S. TFP estimation at firm level: The fiscal aspect of productivity convergence in the UK. Econ Model 2018; 70: 579-90.
[http://dx.doi.org/10.1016/j.econmod.2017.11.021]
[http://dx.doi.org/10.1016/j.econmod.2017.11.021]
[49]
Hu XC, Liu CL. Managing undesirable outputs in the Australian construction industry using data envelopment analysis models. J Clean Prod 2015; 101: 148-57.
[http://dx.doi.org/10.1016/j.jclepro.2015.03.077]
[http://dx.doi.org/10.1016/j.jclepro.2015.03.077]
[50]
Chen K, Wemy E. Investment-specific technological changes: The source of long-run TFP fluctuations. Eur Econ Rev 2015; 80: 230-52.
[http://dx.doi.org/10.1016/j.euroecorev.2015.10.002]
[http://dx.doi.org/10.1016/j.euroecorev.2015.10.002]
[51]
Shi JC, Chen WY, Yin X. Modeling building’s decarbonization with application of China TIMES model. Appl Energy 2016; 162: 1303-12.
[http://dx.doi.org/10.1016/j.apenergy.2015.06.056]
[http://dx.doi.org/10.1016/j.apenergy.2015.06.056]
[52]
Madsen JB. Technology spillover through trade and TFP convergence: 135 years of evidence for the OECD countries. J Int Econ 2007; 72(2): 464-80.
[http://dx.doi.org/10.1016/j.jinteco.2006.12.001]
[http://dx.doi.org/10.1016/j.jinteco.2006.12.001]
[53]
Qi SJ, Zhang YB. Research on the influencing factors and reduction strategies of carbon emission of construction industry in China. Soft Sci 2013; 27(6): 39-43.
[54]
Zhang PW, Jia GS, Mou Q. Analysis of carbon productivity club convergence and conditioning factors in China’s building industry. Chi Pop Res Env 2019; 29: 40-9.
[55]
Zhang PW, You JX, Jia GS. Estimation of carbon efficiency decomposition in materials and potential material savings for China’s building industry. Resour Policy 2018; 59: 148-59.
[http://dx.doi.org/10.1016/j.resourpol.2018.06.012]
[http://dx.doi.org/10.1016/j.resourpol.2018.06.012]
[56]
Zhang PW, Jia GS, Wu LF. Carbon productivity and its convergence in building industry by incorporating building materials as input factors. J Tongji Univ 2019; 47(1): 149-58.
[57]
Bian Y, He P, Xu H. Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach. Energy Policy 2013; 63: 962-71.
[http://dx.doi.org/10.1016/j.enpol.2013.08.051]
[http://dx.doi.org/10.1016/j.enpol.2013.08.051]
[58]
Meng F, Su B, Thomson E, et al. Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey. Appl Energy 2016; 183: 1-21.
[http://dx.doi.org/10.1016/j.apenergy.2016.08.158]
[http://dx.doi.org/10.1016/j.apenergy.2016.08.158]
[59]
Li K, Lin B. Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model. Appl Energy 2016; 168: 351-63.
[http://dx.doi.org/10.1016/j.apenergy.2016.01.104]
[http://dx.doi.org/10.1016/j.apenergy.2016.01.104]
[60]
Yuan B, Li C. Innovation-driven Chinese industrial green total factor productivity under environmental regulation. Indus Eco Res 2018; pp. 101-13.
[61]
Kasaeian A, Bahrami L, Pourfayaz F, Khodabandeh E, Yan WM. Experimental studies on the applications of PCMs and Nano-PCMs in buildings: a critical review. Energy Build 2017; 154: 96-112.
[http://dx.doi.org/10.1016/j.enbuild.2017.08.037]
[http://dx.doi.org/10.1016/j.enbuild.2017.08.037]
[62]
Lu YJ, Cui P, Li DZ. Carbon emissions and policies in China’s building and construction industry: Evidence from 1994 to 2012. Build Environ 2016; 95: 94-103.
[http://dx.doi.org/10.1016/j.buildenv.2015.09.011]
[http://dx.doi.org/10.1016/j.buildenv.2015.09.011]
[63]
Li W, Sun W, Li GM, et al. Temporal and spatial heterogeneity of carbon intensity in China’s construction industry. Resour Conserv Recycling 2017; 126: 162-73.
[http://dx.doi.org/10.1016/j.resconrec.2017.07.043]
[http://dx.doi.org/10.1016/j.resconrec.2017.07.043]
[64]
Chung Y, Fare R, Grosskopf S. Productivity and undesirable outputs: A directional distance function approach. Microeconomics 1997; 51(3): 229-40.
[http://dx.doi.org/10.1006/jema.1997.0146]
[http://dx.doi.org/10.1006/jema.1997.0146]
[65]
Oh KY, Kim T, Maskus KE. Effects of patents on productivity growth in Korean manufacturing: a panel data analysis. Pac Econ Rev 2010; 14: 137-54.
[66]
Zhu FF. Empirical study on the correlation between different patents and green total factor productivity growth. Sci Tec Econo 2018; 31(06): 51-5.
[67]
Zhao YY, Liu SM. Empirical study on China patent’s effect on economic development mode: 1988-2008. J Qua Tec Econo 2011; 28: 34-48.
[68]
Zhu HY, Li JY, Zhao JC, Churchman GJ. Photocatalysts prepared from layered clays and titanium hydrate for dehydration of organic pollutants in water. Appl Clay Sci 2005; 28: 79-88.
[http://dx.doi.org/10.1016/j.clay.2004.05.001]
[http://dx.doi.org/10.1016/j.clay.2004.05.001]
[69]
Ye J, Wang Q, Zhou X, Zhang N. Injectable actarit-loaded solid lipid nanoparticles as passive targeting therapeutic agents for rheumatoid arthritis. Int J Pharm 2008; 352(1-2): 273-9.
[http://dx.doi.org/10.1016/j.ijpharm.2007.10.014] [PMID: 18054182]
[http://dx.doi.org/10.1016/j.ijpharm.2007.10.014] [PMID: 18054182]
[70]
Wang XL, Fan G. Market index report of China’s provinces. Beijing: Social Sciences Academic Press 2018; pp. 100-51.
[71]
Carr JH, Servon LJ. Vernacular culture and urban economic development: Thinking outside the (big) box. J Am Plann Assoc 2008; 75(1): 28-40.
[http://dx.doi.org/10.1080/01944360802539226]
[http://dx.doi.org/10.1080/01944360802539226]
[72]
National Intellectual Property Administration China patent full-text database. Beijing Intellectual Property Press 2018; pp. 111-24.
[73]
National Bureau of Statistics China statistical yearbook. Beijing: China Statistics Press 2018; pp. 1-10.
[74]
National Bureau of Statistics China building statistical yearbook. Beijing: China Statistics Press 2018; pp. 1-10.
[75]
National Bureau of Statistics China energy statistical yearbook. Beijing: China Statistics Press 2018; pp. 1-10.
[76]
Martín M, Villalba A, Inés FA, Barreneche C. Development of new nano-enhanced phase change materials (NEPCM) to improve energy efficiency in buildings: Lab-scale characterization. Energy Build 2019; 192: 75-83.
[http://dx.doi.org/10.1016/j.enbuild.2019.03.029]
[http://dx.doi.org/10.1016/j.enbuild.2019.03.029]
[77]
Rashidi S, Esfahani JA, Karimi N. Porous materials in building energy technologies-A review of the applications, modelling and experiments. Renew Sustain Energy Rev 2018; 91: 229-47.
[http://dx.doi.org/10.1016/j.rser.2018.03.092]
[http://dx.doi.org/10.1016/j.rser.2018.03.092]
[78]
Meguro K, Osabe Y. Lost in patent classification. World Pat Inf 2019; 57: 70-6.
[http://dx.doi.org/10.1016/j.wpi.2019.03.008]
[http://dx.doi.org/10.1016/j.wpi.2019.03.008]
[79]
Meyer M. Are patenting scientists the better scholars? An exploratory comparison of inventor-authors with their non-inventing peers in nano-science and technology. Res Policy 2006; 35(10): 1646-62.
[http://dx.doi.org/10.1016/j.respol.2006.09.013]
[http://dx.doi.org/10.1016/j.respol.2006.09.013]
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