关于产业集群的几篇英文文献

wyverm

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收藏 2011-05-02

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JJ18UrberruralRegionalEconomics(1315).pdf
JJX03MathematicalQuantitativeMethods162301100.pdf
JJX19DOCPPT162900671.pdf
JJX19OtherSpecialTopics2630739.pdf
ECON10070919_167859139.pdf
ECONA00705_388997A.pdf
ECONA00713_488038.pdf
ECONa05517_1229891.pdf
JJ15EconomicsdevelopmentTechnologicalchangeandgrowth(957).pdf
JJ17EnvironmentalEconomics(2143).pdf
JJ18UrberruralRegionalEconomics(206).pdf

希望对大家有所帮助。
一共有11篇。呵呵。

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w08241081

2011-5-2 21:46:55

何不做个目录，或者传个截图也好！

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snxl

2011-5-2 22:21:33

Agglomeration and Co-Agglomeration of Services Industries
Jed Kolko*
Public Policy Institute of California
April 2007

ABSTRACT

Economic research on industry location and agglomeration has focused nearly
exclusively on manufacturing. This paper shows that services are prominent among the
most agglomerated industries, especially at the county level. Because traditional
measures of knowledge spillovers, natural resource inputs, and labor pooling explain
little of agglomeration in services industries, this paper takes an alternative approach and
looks at co-agglomeration to assess why industries cluster together. By considering the
location patterns of pairs of industries instead of individual industries, the traditional
agglomeration explanations can be measured more richly, and additional measures – like
the need to locate near suppliers or customers – can be incorporated.
The results show that co-agglomeration between pairs of services industries is
driven by knowledge spillovers and the direct trading relationship between the industries,
especially at the zip code level. Information technology weakens the need for services
industries to co-agglomerate at the state level, perhaps because electronic transport of
services outputs lowers the value of longer-distance proximity. These results are in sharp
contrast to results for manufacturing, for which labor pooling contributes most to coagglomeration,
and the direct-trading relationship contributes more to state-level coagglomeration.
These differences between services and manufacturing are consistent with
simple models of transport costs.

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snxl

2011-5-2 22:22:05

ERSA 47th Congress and ASRDLF 44th Congress
PARIS - August 29th - September 2nd, 2007
Special Session
Entrepreneurship and the Region
ENTREPRENEURSHIP, CREATIVE INDUSTRIES AND REGIONAL DYNAMICS IN SPAIN***
Antonio García-Tabuenca (antonio.gtabuenca@uah.es)*
José Luis Crespo-Espert (joseluis.crespo@uah.es)*
Juan R. Cuadrado-Roura (jr.cuadrado@uah.es)**
Abstract:
Depending on the country or region, the amount of entrepreneurial activity differs greatly. In order to appreciate these differences, a general supply and demand scheme has been suggested (Verkeul et al. 2001) to measure the rate of entrepreneurship of an economy in the long term. This rate can be seen to depend on the level of development (Belso, 2004), the economic growth (Audretsch et al., 2002) and the unemployment rate (Thurik and Verheul, 2002). However, the degree of competitive creativity linked to the entrepreneurial activity in its early, commencing and establishing stages, particularly from a regional perspective, is not so well known. This is calculated using various indicators based on entrepreneurial decisions derived from the timing, sector and location opportunity when starting a business (GEM, 2005), as well as others that assess the commitment to innovation in dynamic markets generating emerging products. This paper analyses entrepreneurial activity from this completely new perspective, applying this to the Spanish regions (NUTS-1), with the intention of providing some useful results for research in this area.
Key words: entrepreneurial activity, creative industry, entrepreneurial clusters, regional differences.
JEL classification codes: L25, L26 and R30

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snxl

2011-5-2 22:22:28

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snxl

2011-5-2 22:24:13

Employment Growth in Iowa's Targeted Industries, 1992-97
Iowa State University
Department of Economics
Authors1
Liesl Eathington
David A. Swenson
Introduction
Iowa's economy has transformed markedly over the years. For more than a decade, the state
has enjoyed persistent nonfarm employment growth. The economy of the 1990s, in terms
of its composition, is substantially different from the economy of a decade or two before.
Some of the changes mirror changes made nationally -- the emergence of information
technologies, computers, software, along with the expansion of the personal and business
services sectors. Other changes are unique to the state and may represent a capitalization
upon Iowa's existing strengths, i.e., food processing, animal and plant sciences. In addition,
some of the changes may represent broad-based shifts in the location and kinds of
production nationally.

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snxl

2011-5-2 22:24:25

Specialization and Geographic Concentration of East Java Manufacturing Industries
Erlangga Agustino Landiyanto1
Sri Kusreni2
Anindita Pradana3
Department of Economics and Development
Faculty of Economics, Airlangga University
Surabaya, East Java, Indonesia
June 2005
Abstract
The concentration of spatial economic activities, especially in manufacturing industries has become an interesting phenomenon to be analyzed. In manufacturing industries, spatial concentration is determined by wages, transportation cost, market access, and externalities which relate with localization economies and urbanization economies. The existence of spatial concentration has a relation with industrial specialization which based on industrial structure on that region. The objective of this paper is to describe where the concentration of East Java manufacturing industries is, how the locational distribution of that industries is, and how the relation between the spatial concentration and specialization and industrial structure in East Java is. This paper is using Location Quotient, Herfindahl Index, Elison-Glaeser Index, Krugman regional specialization index and Krugman bilateral index to analyze the data..

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snxl

2011-5-2 22:25:41

Houston Business
A Perspective on the Houston Economy

Industries as City Builders:
What the Economist Knows

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snxl

2011-5-2 22:26:03

Location of New Industries – The ICT-Sector 1990-20001
Börje Johansson and Thomas Paulsson
(JIBS, CESIS)
August 2004

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snxl

2011-5-2 22:29:22

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snxl

2011-5-2 22:30:10

BRAINPOWER
Within the Washington Metropolitan area, Arlington,
Virginia leads the region on nearly every dimension:
• At the heart of the national science
research cluster, represented by both
the government defense and securityrelated
extramural research institutes
and the National Science Foundation,
Arlington has the highest concentration
of both private and public
physical, engineering and
biological research employment
in the region, at a
rate six times higher than
the nation with a location
quotient of 6.44.
• The most concentrated
research industry sector in
the region is the social
science and humanities research cluster. Arlington
ranks third in the region, with a concentration
in this sector of more than ten times the national
average and a location quotient of 10.08.
• More life, physical and social scientists,
as well those engaged in legal occupations
reside in Arlington than anyplace
else. Arlington ranks second in business
and financial occupations,
second in arts, design, entertainment;
and second in sports
and media occupations. In
addition, Arlington’s
location quotient for
computer and mathematical
occupations is 3.50.
• Arlington has the highest
educational levels in the
region: two-thirds of all
adults in Arlington have
received a Bachelors degree and some 36
percent have earned an advanced degree.
The Washington Metropolitan area has a disproportionately high concentration of employment in the
physical, engineering and biological research and the social science and humanities research industry
sectors. It also has the second highest absolute number of persons employed in life, physical and social
science occupations, with the highest median hourly wage among all major metropolitan areas. The region
also has the highest educated population, leading the nation in knowledge workers.
A SNAPSHOT OF THE PHYSICAL AND SOCIAL SCIENCE AND
RESEARCH INDUSTRIES AND OCCUPATIONS IN ARLINGTON, VIRGINIA
AND THE WASHINGTON, D.C. METROPOLITAN REGION

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snxl

2011-5-2 22:31:44

ECONOMIC AND SOCIAL COMMISSION FOR WESTERN ASIA

METHODOLOGY FOR THE ASSESSMENT OF　COMPETITIVENESS OF SELECTED　EXISTING INDUSTRIES

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snxl

2011-5-2 22:32:25

Agglomeration and Co-Agglomeration of Services Industries
Jed Kolko*
Public Policy Institute of California
April 2007

ABSTRACT
Economic research on industry location and agglomeration has focused nearly
exclusively on manufacturing. This paper shows that services are prominent among the
most agglomerated industries, especially at the county level. Because traditional
measures of knowledge spillovers, natural resource inputs, and labor pooling explain
little of agglomeration in services industries, this paper takes an alternative approach and
looks at co-agglomeration to assess why industries cluster together. By considering the
location patterns of pairs of industries instead of individual industries, the traditional
agglomeration explanations can be measured more richly, and additional measures – like
the need to locate near suppliers or customers – can be incorporated.
The results show that co-agglomeration between pairs of services industries is
driven by knowledge spillovers and the direct trading relationship between the industries,
especially at the zip code level. Information technology weakens the need for services
industries to co-agglomerate at the state level, perhaps because electronic transport of
services outputs lowers the value of longer-distance proximity. These results are in sharp
contrast to results for manufacturing, for which labor pooling contributes most to coagglomeration,
and the direct-trading relationship contributes more to state-level coagglomeration.
These differences between services and manufacturing are consistent with
simple models of transport costs.