Details
Original language | English |
---|---|
Pages (from-to) | 1188-1208 |
Number of pages | 21 |
Journal | Environment and Planning A |
Volume | 48 |
Issue number | 6 |
Early online date | 8 Mar 2016 |
Publication status | Published - Jun 2016 |
Externally published | Yes |
Abstract
Comparing innovation across regions is challenging. Innovation processes and outcomes are shaped by different actors, interactions, and institutions. Regional contingencies complicate the comparison as evident from the existing approaches to explaining innovation across regions. Quantitative innovation measurement approaches may quantify differences between regions, but disregard regional contingencies. Qualitative, heuristic approaches may understand an individual region’s innovation history and culture, but cannot quantify differences between regions. This paper introduces an adapted version of the analytical hierarchy process (AHP) to fill this methodological void. It shows that the AHP allows us both to consider regional contingency and to quantify differences between regions. This paper applies the AHP to compare innovation of the equipment manufacturing industries of Shanghai and Xiamen, China. It thus exemplifies how this method might be used for research and application in human geography, planning, regional science, and related fields.
Keywords
- Analytical hierarchy process, China, equipment manufacturing industry, innovation, regional contingency
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Environmental Science(all)
- Environmental Science (miscellaneous)
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In: Environment and Planning A, Vol. 48, No. 6, 06.2016, p. 1188-1208.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - The use of the analytical hierarchy process as a method of comparing innovation across regions
T2 - The examples of the equipment manufacturing industries of Shanghai and Xiamen, China
AU - Liefner, Ingo
AU - Jessberger, Sabine
PY - 2016/6
Y1 - 2016/6
N2 - Comparing innovation across regions is challenging. Innovation processes and outcomes are shaped by different actors, interactions, and institutions. Regional contingencies complicate the comparison as evident from the existing approaches to explaining innovation across regions. Quantitative innovation measurement approaches may quantify differences between regions, but disregard regional contingencies. Qualitative, heuristic approaches may understand an individual region’s innovation history and culture, but cannot quantify differences between regions. This paper introduces an adapted version of the analytical hierarchy process (AHP) to fill this methodological void. It shows that the AHP allows us both to consider regional contingency and to quantify differences between regions. This paper applies the AHP to compare innovation of the equipment manufacturing industries of Shanghai and Xiamen, China. It thus exemplifies how this method might be used for research and application in human geography, planning, regional science, and related fields.
AB - Comparing innovation across regions is challenging. Innovation processes and outcomes are shaped by different actors, interactions, and institutions. Regional contingencies complicate the comparison as evident from the existing approaches to explaining innovation across regions. Quantitative innovation measurement approaches may quantify differences between regions, but disregard regional contingencies. Qualitative, heuristic approaches may understand an individual region’s innovation history and culture, but cannot quantify differences between regions. This paper introduces an adapted version of the analytical hierarchy process (AHP) to fill this methodological void. It shows that the AHP allows us both to consider regional contingency and to quantify differences between regions. This paper applies the AHP to compare innovation of the equipment manufacturing industries of Shanghai and Xiamen, China. It thus exemplifies how this method might be used for research and application in human geography, planning, regional science, and related fields.
KW - Analytical hierarchy process
KW - China
KW - equipment manufacturing industry
KW - innovation
KW - regional contingency
UR - http://www.scopus.com/inward/record.url?scp=84968919999&partnerID=8YFLogxK
U2 - 10.1177/0308518X16636886
DO - 10.1177/0308518X16636886
M3 - Article
AN - SCOPUS:84968919999
VL - 48
SP - 1188
EP - 1208
JO - Environment and Planning A
JF - Environment and Planning A
SN - 0308-518X
IS - 6
ER -