The international conference i?½Social Solidarity Economy and the Commons - Contributions to the Deepening of Democracyi?½ was held on November 6th-8th 2019 at the Instituto Universiti?½rio de Lisboa (ISCTE-IUL) in Lisbon (Portugal). Its aim was to promote dialogue and exchanges of knowledge and experience among academics, practitioners and civil society activists about new governance models of the commons and the necessity to find alternative or complementary socio-economic development paradigms based on new spaces for collective action to re-establish social ties and build new life and work opportunities. This short report, included in the JEOD i?½Conference letteri?½ section, retraces and briefly illustrates the main findings emerged during the conference.
{"title":"ISCTE-IUL 2019 International Conference: Social Solidarity Economy and the Commons - Contributions to the Deepening of Democracy","authors":"A. Piccoli, Jacopo Sforzi","doi":"10.5947/jeod.2019.009","DOIUrl":"https://doi.org/10.5947/jeod.2019.009","url":null,"abstract":"The international conference i?½Social Solidarity Economy and the Commons - Contributions to the Deepening of Democracyi?½ was held on November 6th-8th 2019 at the Instituto Universiti?½rio de Lisboa (ISCTE-IUL) in Lisbon (Portugal). Its aim was to promote dialogue and exchanges of knowledge and experience among academics, practitioners and civil society activists about new governance models of the commons and the necessity to find alternative or complementary socio-economic development paradigms based on new spaces for collective action to re-establish social ties and build new life and work opportunities. This short report, included in the JEOD i?½Conference letteri?½ section, retraces and briefly illustrates the main findings emerged during the conference.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Commuters with high mobility create a complex transit system that implies the various usage of TU (transit unit). Boarding into Bus Rapid Transit or alighting from High Speed Train becomes daily routine to finally arrive in working place or school. Old-fashioned fare collection of transportation system is by paying the fare directly and buying the paper-based tickets. The old way seems to be not efficient for transit agencies. As the technology improves, the fare collection can be occurred by electronic ticket, moreover by mobile payments. By implementing transit mobile payments, transit unit payment will be easily accessed from every commuter smartphone. Providing the phone with Click & Transit Application is one way to help the transit agencies analyze transit system and congestion. The data collection from commuters’ smartphone, by clicking in the gate in and gate out, needed for improving the transit system related by passenger O-D (Origin Destination) and transportation mode usage. From the data also can be known how many times that the commuters use public transit unit, so that the transit agencies know their loyalty. Every click for paying the public transit fare will result into points. The points which are collected by the application system can be exchange with some rewards such as food voucher, fashion voucher, or free riding TU. A cooperation between transit agencies and merchants who provide the reward should be more interesting. To conclude, Click & Transit Application gives advantages for both transit agencies and commuters. The transit agencies are helped for the transit system analysis by the data collection. The public transit passenger will be increased because of the reward system, so that the traffic burden may be lighter. Moreover, the commuter will be more loyal to use public transit unit as a choice for their everyday mobility.
{"title":"Click & Transit Application – Application for Commuter Based on Transit Mobile Payments to Improve Transit System and Encourage Public Transit Unit Usage","authors":"Fakhrinanisa Islah Birru Akhsana","doi":"10.2139/ssrn.3194584","DOIUrl":"https://doi.org/10.2139/ssrn.3194584","url":null,"abstract":"Commuters with high mobility create a complex transit system that implies the various usage of TU (transit unit). Boarding into Bus Rapid Transit or alighting from High Speed Train becomes daily routine to finally arrive in working place or school. Old-fashioned fare collection of transportation system is by paying the fare directly and buying the paper-based tickets. The old way seems to be not efficient for transit agencies. As the technology improves, the fare collection can be occurred by electronic ticket, moreover by mobile payments. By implementing transit mobile payments, transit unit payment will be easily accessed from every commuter smartphone. Providing the phone with Click & Transit Application is one way to help the transit agencies analyze transit system and congestion. The data collection from commuters’ smartphone, by clicking in the gate in and gate out, needed for improving the transit system related by passenger O-D (Origin Destination) and transportation mode usage. From the data also can be known how many times that the commuters use public transit unit, so that the transit agencies know their loyalty. Every click for paying the public transit fare will result into points. The points which are collected by the application system can be exchange with some rewards such as food voucher, fashion voucher, or free riding TU. A cooperation between transit agencies and merchants who provide the reward should be more interesting. To conclude, Click & Transit Application gives advantages for both transit agencies and commuters. The transit agencies are helped for the transit system analysis by the data collection. The public transit passenger will be increased because of the reward system, so that the traffic burden may be lighter. Moreover, the commuter will be more loyal to use public transit unit as a choice for their everyday mobility.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121067096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In financial markets, low prices are generally associated with high volatilities and vice-versa, this well-known stylized fact is usually referred to as the leverage effect. We propose a local volatility model, given by a stochastic differential equation with piecewise constant coefficients, which accounts for leverage and mean-reversion effects in the dynamics of the prices. This model exhibits a regime switch in the dynamics according to a certain threshold. It can be seen as a continuous-time version of the self-exciting threshold autoregressive (SETAR) model. We propose an estimation procedure for the volatility and drift coefficients as well as for the threshold level. Parameters estimated on the daily prices of 351 stocks of NYSE and S&P 500, on different time windows, show consistent empirical evidence for leverage effects. Mean-reversion effects are also detected, most markedly in crisis periods.
{"title":"A Threshold Model for Local Volatility: Evidence of Leverage and Mean Reversion Effects on Historical Data","authors":"A. Lejay, P. Pigato","doi":"10.2139/ssrn.3101666","DOIUrl":"https://doi.org/10.2139/ssrn.3101666","url":null,"abstract":"In financial markets, low prices are generally associated with high volatilities and vice-versa, this well-known stylized fact is usually referred to as the leverage effect. We propose a local volatility model, given by a stochastic differential equation with piecewise constant coefficients, which accounts for leverage and mean-reversion effects in the dynamics of the prices. This model exhibits a regime switch in the dynamics according to a certain threshold. It can be seen as a continuous-time version of the self-exciting threshold autoregressive (SETAR) model. We propose an estimation procedure for the volatility and drift coefficients as well as for the threshold level. Parameters estimated on the daily prices of 351 stocks of NYSE and S&P 500, on different time windows, show consistent empirical evidence for leverage effects. Mean-reversion effects are also detected, most markedly in crisis periods.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127819899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We study the optimal Local Content Requirements (LCR) and innovation policies of a developing economy in which a foreign Original Equipment Manufacturer (OEM) produces and sells a final product. The OEM assembles the product from multiple components manufactured by external suppliers. Domestic component suppliers incur higher costs than overseas suppliers due to a technology gap in manufacturing. To protect the domestic supply base and to maximize GDP, the government of the developing economy imposes LCR, which mandates a minimum amount of local sourcing as a percentage of the OEM’s total procurement value. In the base model, the final product consists of two components, which differ both in the overseas sourcing cost and in the technology gap between domestic and overseas supplies. We derive the optimal LCR policy and prove that it is monotone increasing in the demand of the final product. We also characterize the government’s innovation policy on domestic suppliers. Specifically, in order to grow the GDP, which component’s domestic supply base should the government invest in to reduce its technology gap relative to overseas suppliers? Our analysis suggests that when the demand of the final product is low, the government should invest in the component with smaller technology gap. However, when the demand is sufficiently high, investing in the component with higher overseas sourcing cost (than the other component) generates a larger marginal gain in the GDP. As the domestic component supply base becomes more cost efficient, surprisingly, the OEM’s profit could decrease. This outcome is caused by the government’s action to tighten the LCR policy in response to improved cost efficiency of the domestic supply base. Finally, we extend the base model to analyze a product with N components and demonstrate that the key insights remain to hold.
{"title":"Optimizing Local Content Requirements Under Technology Gaps","authors":"Shiliang Cui, Lauren Xiaoyuan Lu","doi":"10.2139/ssrn.2750316","DOIUrl":"https://doi.org/10.2139/ssrn.2750316","url":null,"abstract":"We study the optimal Local Content Requirements (LCR) and innovation policies of a developing economy in which a foreign Original Equipment Manufacturer (OEM) produces and sells a final product. The OEM assembles the product from multiple components manufactured by external suppliers. Domestic component suppliers incur higher costs than overseas suppliers due to a technology gap in manufacturing. To protect the domestic supply base and to maximize GDP, the government of the developing economy imposes LCR, which mandates a minimum amount of local sourcing as a percentage of the OEM’s total procurement value. In the base model, the final product consists of two components, which differ both in the overseas sourcing cost and in the technology gap between domestic and overseas supplies. We derive the optimal LCR policy and prove that it is monotone increasing in the demand of the final product. We also characterize the government’s innovation policy on domestic suppliers. Specifically, in order to grow the GDP, which component’s domestic supply base should the government invest in to reduce its technology gap relative to overseas suppliers? Our analysis suggests that when the demand of the final product is low, the government should invest in the component with smaller technology gap. However, when the demand is sufficiently high, investing in the component with higher overseas sourcing cost (than the other component) generates a larger marginal gain in the GDP. As the domestic component supply base becomes more cost efficient, surprisingly, the OEM’s profit could decrease. This outcome is caused by the government’s action to tighten the LCR policy in response to improved cost efficiency of the domestic supply base. Finally, we extend the base model to analyze a product with N components and demonstrate that the key insights remain to hold.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124006583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pardis Technology Park (PTP) is a place for companies with highly skilled, professionally advanced and comprehensive technologies that qualify support from the government. The proximity of these knowledge-based- companies concentrated in pockets of scientific parks creates convergence in technology and skills leading to the opening of new avenues of cooperation. Consequently, the interaction among these companies leads to advanced commercialization. Pardis Technology Park is Iran's Silicon Valley. It is an organization that aims to transfer experiences and expertise of top and successful entrepreneurs to the incoming generation of scientists and technocrats, thus creating successful business models. The goal of this paper is to introduce Pardis Technology Park throughout the Islamic Republic of Iran to provide business opportunities among companies via technological interactions among them.
{"title":"Pardis Technology Park and its Effects on Sustainability in the Development of Science and Technology Parks (STPs) in the Islamic Republic of Iran","authors":"A. Mamhoori","doi":"10.2139/ssrn.3031131","DOIUrl":"https://doi.org/10.2139/ssrn.3031131","url":null,"abstract":"Pardis Technology Park (PTP) is a place for companies with highly skilled, professionally advanced and comprehensive technologies that qualify support from the government. The proximity of these knowledge-based- companies concentrated in pockets of scientific parks creates convergence in technology and skills leading to the opening of new avenues of cooperation. Consequently, the interaction among these companies leads to advanced commercialization. \u0000 \u0000Pardis Technology Park is Iran's Silicon Valley. It is an organization that aims to transfer experiences and expertise of top and successful entrepreneurs to the incoming generation of scientists and technocrats, thus creating successful business models. \u0000 \u0000The goal of this paper is to introduce Pardis Technology Park throughout the Islamic Republic of Iran to provide business opportunities among companies via technological interactions among them.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131767736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
City is not a new phenomenon. Civilizations like Mesopotamia, Egypt, and Indus valley had a rich culture of urban life. However, not more than ten per cent of population of these civilizations used to live in cities (Modelski, 1997). Cities were dependent of villages to meet their everyday needs. They were geographically small and less populated as compared to the Modern Cities. Urban life was not much different in the cities of these civilization than that of the cities of pre-industrialization. Industrialization first happened in 16th century in North-West Europe specifically in Britain and Denmark. Later on it spread to other part of Europe and America. By 20th century it spread its legs to the African and Asian continent in the form of colonization. New modes of social and economic life became evident in all part of the world and this marked the onset of new age called ‘modernization.’ Modernization redefined urban life and urbanization became a mandatory precondition to modernization. Urban-Rural relationship experienced a paradigm shift. New socio-politico environment put villages at back stage. Village resources were drained out to support urban life. A dependency of rural upon urban was created. As a result urbanization increased rapidly. At present there are such countries in the world where urbanization has reached to more than 90 per cent (Geoffrey, 2005). India has 31 percent of her population living in urban area with a growth rate of 2.3 per cent per year (Mani, 2016).
{"title":"Smart City: A Failed Approach to Urban Regeneration for Indian Cities","authors":"P. Nair, Sandeep Sharma","doi":"10.2139/ssrn.2929205","DOIUrl":"https://doi.org/10.2139/ssrn.2929205","url":null,"abstract":"City is not a new phenomenon. Civilizations like Mesopotamia, Egypt, and Indus valley had a rich culture of urban life. However, not more than ten per cent of population of these civilizations used to live in cities (Modelski, 1997). Cities were dependent of villages to meet their everyday needs. They were geographically small and less populated as compared to the Modern Cities. Urban life was not much different in the cities of these civilization than that of the cities of pre-industrialization. Industrialization first happened in 16th century in North-West Europe specifically in Britain and Denmark. Later on it spread to other part of Europe and America. By 20th century it spread its legs to the African and Asian continent in the form of colonization. New modes of social and economic life became evident in all part of the world and this marked the onset of new age called ‘modernization.’ Modernization redefined urban life and urbanization became a mandatory precondition to modernization. Urban-Rural relationship experienced a paradigm shift. New socio-politico environment put villages at back stage. Village resources were drained out to support urban life. A dependency of rural upon urban was created. As a result urbanization increased rapidly. At present there are such countries in the world where urbanization has reached to more than 90 per cent (Geoffrey, 2005). India has 31 percent of her population living in urban area with a growth rate of 2.3 per cent per year (Mani, 2016).","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122316774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The right to the city has emerged as an influential concept in the study and conduct of urban affairs. To a striking degree, however, it has avoided rigorous criticism. This essay represents an effort to remedy that situation.
{"title":"A Right to the City?","authors":"T. Halper","doi":"10.2139/ssrn.2755710","DOIUrl":"https://doi.org/10.2139/ssrn.2755710","url":null,"abstract":"The right to the city has emerged as an influential concept in the study and conduct of urban affairs. To a striking degree, however, it has avoided rigorous criticism. This essay represents an effort to remedy that situation.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132120788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-12-01DOI: 10.1504/IJTIS.2012.051532
A. Bykova, M. Molodchik
In recent years, links between spatial proximity, and firms’ formal and informal contacts have become a sufficient subject for research in the field of innovation, competitiveness and sustainable economic growth. We introduce a model for the quantitative evaluation of the relationship between cluster participation and innovation capabilities, as well with a company’s growth in value. The paper focuses on comparison in mutual effects for companies from transitional and developed economies. We use a sample of 284 traded European companies between 2005 and 2009 which were carefully applied and subjected to panel data analysis techniques. Our empirical findings show the positive mutual effects on innovation capabilities measured as intangible assets and companies’ economic value added for both transitional and developed economies. Hereby, these links are stronger in developed countries. Moreover, we identify the complementary factors to clustering, such as industry-level public R&D expenses, country innovation infrastructure development and location in a megalopolis.
{"title":"How to Catch Mutual Effects in Clusters: Comparative Study of Transitional and Developed Economies","authors":"A. Bykova, M. Molodchik","doi":"10.1504/IJTIS.2012.051532","DOIUrl":"https://doi.org/10.1504/IJTIS.2012.051532","url":null,"abstract":"In recent years, links between spatial proximity, and firms’ formal and informal contacts have become a sufficient subject for research in the field of innovation, competitiveness and sustainable economic growth. We introduce a model for the quantitative evaluation of the relationship between cluster participation and innovation capabilities, as well with a company’s growth in value. The paper focuses on comparison in mutual effects for companies from transitional and developed economies. We use a sample of 284 traded European companies between 2005 and 2009 which were carefully applied and subjected to panel data analysis techniques. Our empirical findings show the positive mutual effects on innovation capabilities measured as intangible assets and companies’ economic value added for both transitional and developed economies. Hereby, these links are stronger in developed countries. Moreover, we identify the complementary factors to clustering, such as industry-level public R&D expenses, country innovation infrastructure development and location in a megalopolis.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131916073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper provides causal evidence that inter-industry connections can influence the geographic location of economic activity. To do so, it takes advantage of a large, exogenous, temporary, and industry-specific shock to the 19th century British economy. The shock was caused by the U.S. Civil War, which sharply reduced raw cotton supplies to Britain's important cotton textile industry, causing a four-year recession in the industry. The impact of the shock on towns in Lancashire County, the center of Britain's cotton textile industry, is compared to towns in neighboring Yorkshire County, where wool textiles dominated. The results suggest that this trade shock reduced relative employment growth in industries that were more related to the cotton textile industry, in towns that were more severely impacted by the shock. The impact persists for over two decades after the end of the U.S. Civil War, suggesting that temporary shocks, acting through inter-industry connections, can have long-term impacts on the distribution of industrial activity across locations.
{"title":"Industry Connections and the Geographic Location of Economic Activity","authors":"W. Hanlon","doi":"10.2139/ssrn.2143419","DOIUrl":"https://doi.org/10.2139/ssrn.2143419","url":null,"abstract":"This paper provides causal evidence that inter-industry connections can influence the geographic location of economic activity. To do so, it takes advantage of a large, exogenous, temporary, and industry-specific shock to the 19th century British economy. The shock was caused by the U.S. Civil War, which sharply reduced raw cotton supplies to Britain's important cotton textile industry, causing a four-year recession in the industry. The impact of the shock on towns in Lancashire County, the center of Britain's cotton textile industry, is compared to towns in neighboring Yorkshire County, where wool textiles dominated. The results suggest that this trade shock reduced relative employment growth in industries that were more related to the cotton textile industry, in towns that were more severely impacted by the shock. The impact persists for over two decades after the end of the U.S. Civil War, suggesting that temporary shocks, acting through inter-industry connections, can have long-term impacts on the distribution of industrial activity across locations.","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131723504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates major features of land-use strategies that German municipalities have adopted to attract innovative firms (IFs). In this context a two-stage competition model is introduced: firstly a municipality should solve economic and interest conflicts related to its preference for high-quality sites for IFs against the land needs of simple manufacturers. The second part of the model describes location competition among municipalities with high-quality sites for the location of IFs. German municipal land-use policy is well combined with industrial policy; this paper reveals the strengths and weaknesses of the urban real estate market in Potsdam, and its future opportunities and risks as the location of different economic activities are determined in the planning process. Science Park Adlershof (Berlin) is an output of the spatial-oriented technology policy, which creates incubators for innovative SMEs. Municipalities also cooperate, since it provides larger sites, generates economies of scale and contributes to a smooth suburbanisation process (see Leipzig).
{"title":"Innovation-Oriented Land-Use Policy at the Sub-National Level: Case Study Germany","authors":"P. Friedrich, C. Nam","doi":"10.2139/ssrn.1977694","DOIUrl":"https://doi.org/10.2139/ssrn.1977694","url":null,"abstract":"This study investigates major features of land-use strategies that German municipalities have adopted to attract innovative firms (IFs). In this context a two-stage competition model is introduced: firstly a municipality should solve economic and interest conflicts related to its preference for high-quality sites for IFs against the land needs of simple manufacturers. The second part of the model describes location competition among municipalities with high-quality sites for the location of IFs. German municipal land-use policy is well combined with industrial policy; this paper reveals the strengths and weaknesses of the urban real estate market in Potsdam, and its future opportunities and risks as the location of different economic activities are determined in the planning process. Science Park Adlershof (Berlin) is an output of the spatial-oriented technology policy, which creates incubators for innovative SMEs. Municipalities also cooperate, since it provides larger sites, generates economies of scale and contributes to a smooth suburbanisation process (see Leipzig).","PeriodicalId":326726,"journal":{"name":"IRPN: Local Innovation Systems (Sub-Topic)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121960276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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