@booklet {Sospiro2021, title = {Cost-Benefit Analysis of Pumped Hydroelectricity Storage Investment in China}, journal = {Energies}, volume = {14}, number = {24}, year = {2021}, abstract = {In this study, the energy scenario in China was analyzed by retracing the trend of exponential population growth, gross domestic product (GDP), and electricity production and consumption. A forecast up to 2050 was made based on the history and forecasts of other field studies. It was possible to deduce data on pollutants in terms of CO2 equivalent (CO2-eq) emitted over time if there were no changes in the way energy was produced. Moreover, different scenarios were hypothesized for the use of pumped hydroelectricity storage plants, namely 4.5{\%}, 6{\%}, 8{\%}, 11{\%}, and 14{\%} (percentage of electricity compared to requirements in 2050), to balance variable renewable energy sources and avoid curtailment, thereby reducing the use of energy produced by coal-fired plants. For this implementation, direct and indirect costs and benefits were considered, with interesting results obtained from an economic standpoint and very positive results from environmental, social, and territorial perspectives.}, keywords = {cost{\textendash}benefit analysis, electricity, pumped hydro storage, renewable energy sources}, issn = {1996-1073}, doi = {10.3390/en14248322}, url = {https://doi.org/10.3390/en14248322}, author = {Sospiro, Paolo and Nibbi, Leonardo and Liscio, Marco C. and De Lucia, Maurizio} } @article {599, title = {Discouraged Entrepreneurs and Persistence in Local Entrepreneurship. The Italian Case, 2001-2008}, journal = {L{\textquoteright}industria, Rivista di economia e politica industriale}, year = {2020}, pages = {155{\textendash}172}, publisher = {Societ{\`a} editrice il Mulino}, keywords = {Entrepreneurial Rate, Entrepreneurship, Local Production Systems, Path-Dependence, Persistence}, issn = {0019-7416}, doi = {10.1430/97175}, url = {https://www.rivisteweb.it/doi/10.1430/97175}, author = {Giulio Cainelli and Donato Iacobucci and Alessandra Micozzi} } @article {598, title = {Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment}, journal = {Papers in Regional Science}, volume = {99}, year = {2020}, pages = {405-425}, publisher = {Blackwell Publishing Ltd}, abstract = {Smart Specialisation Strategy required regional authorities to identify technological domains where to concentrate investment in R\&D and innovation. Their choices should originate from an analysis of regional strengths, aiming to identify those domains with the greatest potential for innovation and diversification. This paper aim to assess the degree of relatedness between chosen technological domains. We use patent data to categorize technological domains and the revealed associations methodology to measure their degree of relatedness. We find that the choices made by Italian regions show a significant higher relatedness as compared to a random choice, though with notable exceptions. {\textcopyright} 2019 The Author(s). Papers in Regional Science {\textcopyright} 2019 RSAI}, keywords = {assessment method, development strategy, Innovation, policy implementation, regional development, specialization, technology policy}, issn = {10568190}, doi = {10.1111/pirs.12492}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076927157\&doi=10.1111\%2fpirs.12492\&partnerID=40\&md5=0915eca9a188b2df44da9945d6c2c4bd}, author = {D{\textquoteright}Adda, D. and Iacobucci, D. and Palloni, R.} } @article {579, title = {Agglomeration, networking and the Great Recession}, journal = {Regional Studies}, volume = {53}, year = {2019}, pages = {951-962}, publisher = {Routledge}, abstract = {

This paper analyzes how and to what extent firms{\textquoteright} external relations, such as belonging to a local cluster or a business group, affect the probability of firm survival and economic performance after the 2008 Great Recession. Using a large data set of Italian manufacturing companies for the period 2005{\textendash}12, it was found that belonging to a business group or a local cluster mitigates the selection effect determined by the real and financial shocks, while in the case of firms not belonging to groups, only the more efficient units survive. This means that firms belonging to a group or local cluster are expected to show a lower likelihood of failure and also lower performance compared with stand-alone firms. {\textcopyright} 2018, {\textcopyright} 2018 Regional Studies Association.

}, keywords = {agglomeration, business, data set, economic analysis, financial crisis, Italy, manufacturing, networking, probability}, issn = {00343404}, doi = {10.1080/00343404.2018.1511892}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053309295\&doi=10.1080\%2f00343404.2018.1511892\&partnerID=40\&md5=614bc6c55f4bf2ab7f9e3f8384b4eef6}, author = {Cainelli, G. and Giannini, V. and Iacobucci, D.} } @article {589, title = {What are the trade-offs of academic entrepreneurship? An investigation on the Italian case}, journal = {Journal of Technology Transfer}, volume = {43}, year = {2018}, pages = {198-221}, publisher = {Springer New York LLC}, abstract = {

This study addresses the following research questions: what happens to the propensity to collaborate with other firms, once the researcher creates her own venture? Do her collaborations decrease or do they grow? These questions have been overlooked by the current literature, even though they carry important policy implications. Our key suggestion is that the effectiveness of a technology transfer tool can be better assessed by taking into account the possible crowding-out effects with other channels of knowledge transfer. We do so for Italy, by comparing the behavior of single researchers, before and after the establishment of their own firm, with the behavior of a control group. We assess whether those academics that founded their own firm significantly change their attitude to perform research collaborations with other firms by means of co-publication and co-patenting. We also verify whether creating a firm has an impact on the overall patenting and publication performance. Our results suggest that there is a negative effect on the overall publishing performance, while the patenting activity does not change significantly. Regarding co-publications, our results confirm the existence of a substitution effect between spin-offs and co-publication with firms, while we observe an increase in the case of co-patenting. A closer look at the data, however, suggests that the latter is mainly triggered by the patenting activity that the researcher performs with his or her own company. {\textcopyright} 2016, Springer Science+Business Media New York.

}, keywords = {Academic entrepreneurship, Behavioral research, Economic and social effects, Knowledge management, Patenting activities, Patents and inventions, Policy evaluation, Policy implications, Propensity score matching, Public policy, Publishing, Research collaborations, Spin off, Substitution effect, Technology Transfer}, issn = {08929912}, doi = {10.1007/s10961-016-9482-7}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968547880\&doi=10.1007\%2fs10961-016-9482-7\&partnerID=40\&md5=2133632f90803ed24d87019494bbaefb}, author = {Barbieri, E. and Rubini, L. and Pollio, C. and Micozzi, A.} } @article {566, title = {Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis}, journal = {Technological Forecasting and Social Change}, year = {2017}, abstract = {

The Internet of Things ({IoT}) is an emerging paradigm in the {ICT} sector and it is at the center of many current political and economic debates. Scholars, executives, and policymakers are becoming increasingly interested in understanding how to turn the {IoT} into reality, since various technological constraints (e.g., standardization and interoperability) limit the possibility of realizing an inclusive {IoT} information network. These constraints are exacerbated by the lack of a clear picture of the innovation dynamics and technology evolution of the {IoT}. This paper seeks to address this gap by mapping the development of {IoT} technologies. In particular, we have collected 61,972 {IoT} patents filed under the Patent Cooperation Treaty in the period 2000{\^a}{\texteuro}{\textquotedblleft}2012. We analyze temporal trends, cross-country dynamics and identity of the applicants. Moreover, we provide insights about the development of the most relevant {IoT} technologies by looking at triadic patent families.

}, keywords = {Innovation, Internet of Things, Patent analysis, Technology evolution}, issn = {0040-1625}, doi = {10.1016/j.techfore.2017.04.022}, url = {http://www.sciencedirect.com/science/article/pii/S0040162517305498}, author = {Ardito, Lorenzo and D{\textquoteright}Adda, Diego and Messeni Petruzzelli, Antonio} }