Local Diversity,Human Creativity,and Technological Innovation

The purpose of this paper is to point out some shortcomings of traditional approaches to the study of “knowledge spillovers” and to suggest an alternative based on how knowledge is actually created and exchanged by individuals. Which regional setting is the best incubator of technological change and economic growth? Is this promoted by regional diversity or specialization of economi activity? This study will include economic analyses of geographically localized “dynamic knowledge externalities, Jacob's externalities, or adding new work to old, industrial classification and technology combination, human creativity, and technology combination through human action and imaginative use of resources. Employees add to, or switch their product line; individuals move from one type of production to another; individuals observe a product/process in another setting and incorporate it; individuals possessing different skills and working for different firms collaborate; and urban diversity and resource collaboration are utilized. It is concluded that problems are solved through the combination of previously unrelated things and that promoting regional specialization at the expense of spontaneously evolved local diversity might be a counter‐productive policy.     

Agglomeration and firm performance in times of economic turmoil: Evidence from Tunisian firm-level data

The paper analyzes the relationship between agglomeration economies (urbanization, specialization, and diversity) and firm-level performance during a period of deep economic downturn (2011–2018). We use data from the National Survey of Economic Activities for eight Tunisian manufacturing industries to explore which agglomeration externalities matter most for firm performance after the revolution. The analysis considers, in addition, the role played by selected firm-specific characteristics. The empirical results, based on a multilevel analysis approach, sanction the importance of firm-specific determinants of productivity and exporting. They also indicate that only specialization externalities have a positive and significant effect on firms' performance. The replicate results during a period of economic stability (1998–2004) show, however, that specialization and urbanization economies are both relevant predictors of firms' productivity and that more productive firms, in particular the smaller ones, are better able to benefit from agglomeration. This finding has not been confirmed for the post-revolutionary period.     

The threshold effect of the efficiency of science and technological services on regional environmental governance in China

Through panel data for every province in China from 2006 to 2016, this paper studies the impact of the efficiency of science and technological services and the level of economic development on environmental governance, with the efficiency of science and technological services as the threshold variables. The results of the research indicate that the efficiency of science and technological services in China's provinces is low, while the regional gap is expanding. When the efficiency of science and technological services is the threshold variable, single threshold results are significant. When the efficiency of science and technological services is the threshold variable and when the efficiency of science and technological services is lower than the threshold value, there is a significant impact on environmental governance. If the efficiency of science and technological services crosses the threshold value, the impact of science and technological service efficiency on environmental governance becomes insignificant. For the level of economic development, it is a core explanatory variable and has a significant impact on environmental governance only when the efficiency of science and technological services is below the threshold value. According to the empirical results, this paper proposes corresponding countermeasures and suggestions.     

Agglomeration Potential: The Spatial Scale of Industry Linkages in the Southern California Economy

ABSTRACT Targeting industry clusters for economic development has become popular despite the lack of empirical evidence about the spatial scales over which various clusters agglomerate. This paper identifies twenty manufacturing industry clusters from a principal components analysis of interindustry patterns of trade and measures the spatial employment concentration of each cluster's plants within a polycentric framework. Two to eight centers of employment concentration are detected within the Southern California region for each set of trade linkages. Our spatial half‐life measure reveals that half of a cluster's employment in associated establishments is located within a typical range of eight to twelve kilometers (about 5–7.5 miles) to the nearest employment center or subcenter for the particular cluster. Furthermore, employment in seventeen of the twenty clusters is found to be more spatially concentrated than manufacturing employment as a whole, suggesting that geographic proximity is important to interindustry linkages in the Southern California economy. More important, the spatial concentration across industry clusters varies considerably within the metropolitan area, implying that economic development practitioners should consider local context and adapt industry cluster theories to the specific advantages and disadvantages of their immediate locality.     

Resource‐based view of city quality: Scales development and validation

As the urban world population grows steadily, cities have become the main habitat for human beings. Against this backdrop, city quality or the level of development of the city's habitat that ensures the satisfaction of objective and subjective human needs become a matter of growing interest and concern for academics, policy makers, and citizens. Building on a resource‐based view of city quality, the aim of this paper is twofold. First, it proposes and validates scales for six city sub‐habitats: political, economic, social, natural, artificial, and technological. Second, it tests a model and the underlying hypothesis about the ranking of those sub‐habitats and of the perceived controversy regarding decision making upon them. For those purposes, a survey of 768 city inhabitants was conducted in Portugal to measure city quality and their sub‐habitats. Both the predicted ranking of importance of the sub‐habitats and the perceived ranking of controversy were empirically validated. The results constitute a novel and important contribution to understand city quality and its sub‐habitats, whose conceptual power relies on hierarchized factors linked to citizens’ happiness and to the level of controversy of the solutions.     

Public Sector Agglomeration in Developed Countries: The Role of Oversight

A small but growing body of empirical research underscores the relationship between a city's status as a political capital and its status within an urban hierarchy. Both theoretical and empirical work has attributed this to the agglomeration effects of government activity in the capital. The hypothesis of this paper is that this agglomeration is driven by distance‐based transaction costs of oversight. This hypothesis is tested using a sample of U.S. metropolitan statistical areas for the years 2001–2008. The results are consistent with the hypothesis. Specifically, the empirical results indicate that greater distance from the capital is related to lower levels of government employment and expenditure per government employee among noncapital metropolitan areas.     

Research and development intensive clusters and regional competitiveness

Modern cluster theory provides reasons for positive external effects that accrue from the interaction of spatially proximate firms operating in common and related fields of economic activity. In this paper, we examine the impact of R&D-intensive clusters as a key factor of regional competitiveness on productivity growth. In relying on a hybrid approach of cluster identification, we examine effects of cluster specialization and diversity for a panel of German NUTS-3 regions in 2003–2019. After controlling for regional characteristics and unobserved heterogeneity, a robust cluster strength effect (i.e., specialization) on productivity growth is found within the context of conditional convergence across German regions. With regard to the underlying mechanisms, we find that the presence of multiple R&D-intensive clusters in specific technological fields is most strongly linked to higher levels of regional productivity growth. We also find that advantages from cluster specialization are strongest in key industrial sector such as automobile production, machinery, chemical and pharmaceutical products. Overall, our estimates particularly highlight the working of Marshallian externalities in productivity dynamics, while Jacobs-type spillovers tend to be partially realized. These findings indicate that some but not all cluster-based regional development strategies are promising policy tools to foster regional growth processes.     

The Growing Economic Specialization of Cities: Disentangling Industrial and Functional Dimensions in the Canadian Urban System, 1971–2006

Decreasing spatial transaction and trade costs have given rise to growing economic specialization of cities. While most studies focus on industries as the primary manifestation of urban specialization, a growing body of literature examines occupational functions, i.e., activities and tasks performed within a given industry or firm. This paper explores how the two dimensions (industries and functions) interact across the urban system and their relative importance over time. Is there a trend toward increasing functional specialization in the Canadian urban system? How much of this phenomenon is attributable to spatial shifts in regional industrial structures as opposed to spatial divisions within industries? The paper uses a unique data set drawn from Statistics Canada Census microdata files between 1971 and 2006. Based on the employed population, the data are spatially organized and cross‐tabulated over industries and occupational groups. A decomposition methodology is used to compare the relative weights of industry and regional (functional) effects in accounting for the changing spatial division of functions across Canadian urban areas. Clear patterns of increasing functional specialization are found within the Canadian urban system. Regional effects are generally greater than industry effects, suggesting that spatial divisions of functions (spatial shifts within industries) are progressing more rapidly than regional shifts in industrial structure.     

Does Land Use Planning Slow the Conversion of Forest and FarmLands?

Land use planning often is implemented to control development on forests and farmland, but its impact on land use remains untested. Previous studies evaluating such programs have relied on anecdotal evidence rather than on data describing actual land use change. A model of land use is specified as a function of socioeconomic factors, land rent, and landowners' characteristics, to examine how well Oregon's land use planning program has protected forests and farmland from development. The empirical model describes the probability that forests and farmland in western Oregon and western Washington were developed to residential, commercial, or industrial uses, before and after Oregon's land use planning program took effect. Land use data are provided by the USDA Forest Service's Forest Inventory and Analysis program. Results suggest that Oregon's land use planning program has concentrated development within urban growth boundaries since its implementation, but its success at reducing the likelihood of development on resource lands located within forest use and exclusive farm use zones remains uncertain.     

全球玉米分子育种专利态势分析

揭示全球玉米分子育种技术发展态势,旨在为国内玉米分子育种领域相关从业人员在科研或产业化方面提供参考。利用文献计量法,结合专家咨询和调研分析,针对全球玉米分子育种的专利年代趋势、技术生命周期、主要来源和受理国家/地区、主要专利权人、技术主题分布进行分析。为阐释典型机构的技术发展历程,依据专利间的相互引证关系,绘制该领域重要专利权人——杜邦公司的技术路线图。最后利用Emergency Indicator算法对专利标题和摘要中的主题词进行创新性得分计算,预测该领域的新兴技术。结果表明,全球玉米分子育种正处于稳步发展阶段,美国是该领域主要的技术来源国家,同时也是主要的技术流向市场,中国专利数量排名第二,但专利质量和海外布局意识有待提高;大型跨国企业是创新技术的主要来源机构,技术体系完善;转基因技术是目前应用最多的育种技术,加倍单倍体、分子标记辅助选择、单倍体诱导等技术为该领域的新兴技术,值得关注。中国应加大对玉米分子育种的扶持力度,捕捉技术空白点提升专利质量和技术竞争力,同时积极推进专利技术在国际市场的布局。     

Estimation of eco-efficiency and identification of its influencing factors in China's Yangtze River Delta urban agglomerations

Eco-efficiency is an important indicator which serves as a helpful instrument for the studies of sustainable development. This paper estimated the eco-efficiency of 26 cities in China's Yangtze River Delta urban agglomerations. Based on different matrixes, Moran's I was applied to analyze the spatial correlation. The spatial Durbin model was applied to analyze the direct and indirect effect of influencing factors. Some conclusions were drawn. (a) The average eco-efficiency showed an increasing trend. The regional difference of eco-efficiency decreased and then increased. Shanghai's eco-efficiency had been the highest. (b) The eco-efficiency showed positive spatial autocorrelation and it also exhibited significant characteristic of local spatial autocorrelation. (c) Economic development, fixed assets investment, and technological level of one city had a significant positive impact on the eco-efficiency of the city itself. Industrial structure, fiscal decentralization, and foreign direct investment of a city had a significant negative impact on the eco-efficiency of the city itself. Changes in the economic development and technological levels in a city had positive impacts on the eco-efficiency of its neighboring cities. Foreign direct investment had a negative spatial spillover effect. (d) This paper suggested that it is necessary to pay attention to the interaction of influencing factors among cities.     

Transnational Corporations,Global Production Networks,and Urban and Regional Development: A Geographer's Perspective on Multinational Enterprises and the Global Economy

This paper offers an economic‐geographical interpretation of the role of transnational corporations (TNCs) in urban and regional development that is grounded in Dunning and Lundan's (2008 ) Multinational Enterprises and the Global Economy. I argue that TNCs and their activity are indisputably one of the keys to understanding urban and regional development in today's globalizing world economy. To support this perspective, I will deploy the recently developed analytical framework of global production networks (GPNs) to unpack the complex and mutually dependent relationships between TNCs and urban and regional development. The paper first provides a critique of several recent influential theories of urban and regional growth and identifies the omitted components in such important actors as TNCs. It then offers an analysis of TNCs as key agents of urban and regional development on the basis of ideas on TNC strategies, networks, and regional institutions expressed in Multinational Enterprises. Finally, I draw upon a relational view of TNCs in GPNs to illustrate how urban and regional development is increasingly a “globalizing” phenomenon. Situated in recent work in economic geography, I elaborate on the concept of strategic coupling as an interfacing mechanism bringing together TNCs and development at the urban and regional scales.     

The comparative study of China's mega‐city regions: A perspective of competitiveness

Mega‐city regions (MCRs) have emerged as the main spatial form of China's new urbanization strategy and become the basic spatial units participating in global and regional competition. However, MCRs are not equally capable of boosting regional economic development due to their different levels of development. Therefore, this paper adopts the concept of competitiveness as both a theoretical framework and an empirical model to evaluate the development status of China's MCRs. Based on a review of the existing literature, this paper proposes a multi‐tier evaluation system to calculate the competitiveness of 13 MCRs. The chosen indicators come from the six perspectives of economic development, human resources, infrastructural accessibility, integration into the global economy, capacity for scientific and technological innovation, and sustainable development. The results show that there are great disparities and regional inequalities in competitiveness across different MCRs. The Yangtze River Delta, Pearl River Delta, and Beijing–Tianjin–Tangshan MCRs are the first‐tier MCRs with the highest levels of development and have significant global influence as well. Chengdu–Chongqing, Shandong Peninsula, South‐central Liaoning, and Wuhan belong to the second‐tier of MCRs that show partial advantages and have significant regional influence. The remaining regions belong to the third‐ or fourth‐tier of MCRs that have relatively weak competitiveness. The competitiveness of MCRs largely depends on the concentration of core elements in core cities.     

Capturing cluster life cycle with a mixed‐method analysis: Evidence from a French cluster case study

This article contributes to the growing literature on cluster life cycles (CLC) by demonstrating the opportunities offered by a mixed‐method approach. The combination of qualitative and quantitative data is useful both to describe the evolution of network patterns and to provide an understanding of the drivers of CLC. Based on the literature, we rely on a theoretical background integrating the pre‐existing context (cognitive, institutional, and social) in which actors involved in the nascent cluster are embedded, in order to capture the impact of the genesis period on the cluster's subsequent trajectory. The operationalization of this mixed‐method focused on one case study highlights the determining period of the genesis, since CLC is rooted in (a) the building of interpersonal relationships between actors from science and industry, (b) a longstanding specialization in a technological domain, and (c) policy opportunities and guidelines. The cluster trajectory remains driven by the initial policies, the cluster's nascent specialization and the founders' pre‐existing relationships over time, with an evolving role of each type of embeddedness over time.     

Big or Small Cities? On city size and economic growth

Policy makers and academics frequently emphasize a positive link between city size and economic growth. The empirical literature on the relationship, however, is scarce and uses rough indicators for the size of a country's cities, while ignoring factors that are increasingly considered to shape this relationship. In this paper, we employ a panel of 113 countries between 1980 and 2010 to explore whether 1) there are certain city sizes that are growth enhancing and 2) how additional factors highlighted in the literature impact the city size/growth relationship. The results suggest a nonlinear relationship which is dependent on the country's size. In contrast to the prevailing view that large cities are growth‐inducing, for a majority of countries relatively small cities of up to 3 million inhabitants are more conducive to economic growth. A large share of the urban population in cities of more than 10 million inhabitants is only growth promoting in countries with an urban population of 28.5 million and more. In addition, the relationship is highly context‐dependent: a high share of industries that benefit from agglomeration economies, a well‐developed urban infrastructure, and an adequate level of governance effectiveness allow countries to take advantage of agglomeration benefits from larger cities.     

Creating community‐based indicators of gender equity: A methodology

It appears that an almost unquestioned development pathway for achieving gender equity and women's empowerment has taken centre stage in mainstream development. This pathway focuses on economic outcomes that are assumed to be achieved by increasing women's access to material things, including cash income, loans, physical assets, and to markets. Gender equity indicators, which measure progress towards these outcomes, cannot escape reinforcing them. We argue that far from being neutral, indicators are embedded in political and ideological agendas that serve as guides to the appropriate conduct of those whose performance or behaviour is being measured. Drawing on participatory feminist, diverse economies and strengths based approaches, we outline a research methodology for developing community‐based indicators that recognises women's and men's participation and relationships in all spheres of life, including the ‘non‐economic’. If indicators are grounded in local meanings and realities, we propose that community members can use them to identify aspirational goals for gender equity, and measure progress towards these goals.     

Endogenous Processes in European Regional Growth: Convergence and Policy

The traditional empirical approaches to the analysis of economic growth,cross‐section and panel data regressions are substantially uninformative withrespect to the issue of convergence. Whether national or regional economies appear to converge in terms of per capita income or productivity levels (the so‐called β‐convergence) critically depends on the way in which the empirical model is specified. Traditional specifications witness a disproportionate presence of proxies for forces leading towards divergence among the conditioning variables. It is therefore hardly surprising that these analyses find a positive and statistically significant value for the estimate of the speed of convergence. A more constructive use of cross‐section and panel data regressions is in the analysis of the determinants of growth. The present paper therefore builds on recent work on the role of different growth determinants (Cheshire and Carbonaro 1996) and analyses the growth performance of 122 Functional Urban Regions (FURs)over the period 1978–1994. This model explicitly recognizes growth as amultivariate process. In this new formulation it incorporates a spatialized adaptation of Romer's endogenous growth model (Romer 1990), developing the work of Magrini (Magrini 1997). Magrini's model originated from the view that technological knowledge has a very important tacit component that has been neglected in formal theories of endogenous growth. This tacit component, being the non‐written personal heritage of individuals or groups, is naturally concentrated in space. As a result, technological change is profoundly influenced by the interaction between firms and their local environments. The present paper reports the results of the estimation of a fully specified model of regional growth in per capita income. Particular attention is played to the role of research and development (R&D) activities, and to the influence of factors such as Universities that shape the local environments and have important policy implications. These results are then applied to quantifying the scope for policy to influence the growth process. Several simulations are presented deriving alternative growth outcomes across European regions that would have been obtained if those variables over which policy might have control—including the contribution of human capital—had had alternative values reflecting the realistic scope of policy makers' influence. The implications for convergence/divergence in regional per capita income levels are then analyzed using a Markov chain approach (Quah 1993 and 1996; Magrini 1999).     

四川省城市土地利用效率与经济耦合协调度研究

解决城市用地供需矛盾的关键是提高土地利用效率。为了测度城市经济与土地利用效率之间的协调程度,通过建立综合评价指标体系,利用因子分析法,对城市经济与土地利用效率进行综合评价,然后借鉴物理学中的耦合度函数,测算地级城市经济与城市土地利用效率之间的耦合协调程度。分别得到四川省18个城市1998至2008年的协调度,同时对不同地级城市、不同年份的计算结果作横向和纵向的比较,动态地分析与考察,结果表明四川省地级城市经济与城市土地利用效率的协调程度虽然逐步提高,但是总体上水平不高,只有发展经济与提高土地利用效率并举,才能改进协调度,从而为政府实施城市经济发展的可持续土地利用战略提供决策依据。     

The space-time evolution and driving forces of county economic growth in China from 1998 to 2015

Coordinated growth in regional economies is fundamental for sustainable economic development. In this study, the space-time dynamics of GDP per capita for 2,303 counties in China from 1998 to 2015 were analyzed based on an exploratory space-time data analysis (ESTDA) framework. The results showed that: (a) there was significant and increasing positive spatiotemporal correlation among county-level economic growth; (b) local spatiotemporal correlation pattern demonstrated a high–high cluster at the eastern coast, and low–low dispersion in the vast central and western regions; (c) changes in LISA time trajectory revealed that economic growth in the coastal urban agglomeration and Inner Mongolia was more dynamic, indicating the emergence of a local spatial structure locking feature and trajectory dependence; and (d) industrialization and informatization were the two primary contributors to county economic growth. Our study suggests that Chinese government should construct network channels linking the central region with eastern China, cultivate economic growth poles and growth axis, and focus on technological innovation to unlock path dependence in county economic growth.     

Emerging geography of technological innovation in China's ICT industry: Region,inter‐firm linkages and innovative performance in a transitional economy

This study critically evaluates the relevance of the existing theory of technological innovation to the case of China's information and communications technology industry. Based on a large‐scale questionnaire survey conducted in China's three most important city‐regions, namely, Beijing, Shanghai and Shenzhen, where the core of China's information and communications technology industry is located, this study reveals a significant regional variation in technological innovation in a political economy undergoing marketisation and globalisation. This research has found no significant relationship between the innovative performance of firms and the extent of production linkages; nor was there a significant knowledge exchange among firms. A further analysis has identified the significant role played by government purchases, research and development capital input and export propensity in the process of technological innovation. The findings of this research cast doubts over the prevailing theory of ‘new economic geography’ in which soft and unbounded relational assets have been overemphasised at the expense of some solid and bounded actors and agents that are pivotal to technological innovation in a developing economy.