Journal articles on the topic 'High technology industries'

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1

Chandler, Alfred D. "Commercializing High-Technology Industries." Business History Review 79, no. 3 (2005): 595–604. http://dx.doi.org/10.1017/s0007680500081460.

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In his article “From Firm to Networked Systems,” Thomas Hughes introduces concepts, such as “infrastructure” and “networking,” that are critical to today's managerial system, but, by focusing on electric utilities, the story he tells does not go beyond the arrival of the new science of electronics in the early twentieth century. Professor Hughes, therefore, does not consider the critical role of high-technology industries–that is, those that commercialized and brought to market new products based on new scientific learning—in exploring the evolution of managerial systems.
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2

Malecki, Edward J. "Industrial Location and Corporate Organization in High Technology Industries." Economic Geography 61, no. 4 (October 1985): 345. http://dx.doi.org/10.2307/144054.

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3

McGahan, Anita M., and Jeffrey H. Rohlfs. "Bandwagon Effects in High-Technology Industries." Academy of Management Review 27, no. 3 (July 2002): 457. http://dx.doi.org/10.2307/4134390.

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4

Kasuya, M., K. Nogawa, N. Ishinishi, Y. Yamaguchi, Y. Takeuchi, O. Wada, M. Nakagawa, H. Kitagawa, and K. Kobayashi. "High-Technology Industries and Occupational Health." Sangyo Igaku 30, no. 7 (1988): 576–80. http://dx.doi.org/10.1539/joh1959.30.576.

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5

ORDOVER, JANUSZ, and WILLIAM BAUMOL. "ANTITRUST POLICY AND HIGH-TECHNOLOGY INDUSTRIES." Oxford Review of Economic Policy 4, no. 4 (1988): 13–34. http://dx.doi.org/10.1093/oxrep/4.4.13.

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6

Swann, G. M. P. "Bandwagon Effects in High Technology Industries." Information Economics and Policy 14, no. 3 (September 2002): 431–33. http://dx.doi.org/10.1016/s0167-6245(02)00050-1.

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7

Kinmonth, Earl H., Hugh Patrick, and Larry Meissner. "Japan's High Technology Industries: Lessons and Limitations of Industrial Policy." Pacific Affairs 61, no. 1 (1988): 156. http://dx.doi.org/10.2307/2758098.

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8

Hannah, Leslie, Hugh Patrick, and Larry Meissner. "Japan's High Technology Industries: Lessons and Limitations of Industrial Policy." Economic History Review 43, no. 2 (May 1990): 325. http://dx.doi.org/10.2307/2596821.

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9

Bloom, Martin D. H. "Japan's high technology industries: lessons and limitations of industrial policy." International Affairs 63, no. 4 (1987): 710–11. http://dx.doi.org/10.2307/2619747.

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10

Dore, Ronald P., Hugh Patrick, and Larry Meissner. "Japan's High Technology Industries: Lessons and Limitations of Industrial Policy." Journal of Japanese Studies 14, no. 2 (1988): 490. http://dx.doi.org/10.2307/132622.

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11

Englund, Steven R., and Hugh Patrick. "Japan's High Technology Industries: Lessons and Limitations of Industrial Policy." Michigan Law Review 86, no. 6 (May 1988): 1232. http://dx.doi.org/10.2307/1289167.

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12

Lin, Chien-Ju. "The Reconstructing of Industrial Relations in Taiwan’s High Technology Industries." Journal of Contemporary Asia 45, no. 2 (October 10, 2014): 294–310. http://dx.doi.org/10.1080/00472336.2014.967281.

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13

Diebold, William, Hugh Patrick, and Larry Meissner. "Japan's High Technology Industries: Lessons and Limitations of Industrial Policy." Foreign Affairs 66, no. 1 (1987): 194. http://dx.doi.org/10.2307/20043316.

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14

Findlay, Christopher. "Japan's high technology industries: Lessons and limitations of industrial policy." Journal of the Japanese and International Economies 2, no. 4 (December 1988): 549–51. http://dx.doi.org/10.1016/0889-1583(88)90008-1.

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15

Chagas, Milton Freitas, Roque Rabechini Jr, Arnoldo Souza Cabral, and Milton De Abreu Campanario. "Modular Innovation Networks in High-Technology Industries." Revista Ibero-Americana de Estratégia 10, no. 3 (December 2, 2011): 173–98. http://dx.doi.org/10.5585/ijsm.v10i3.1714.

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The article shows how interorganizational modular networks are structured in two high-tecnology industries: Embraer and Siemens. Three product platforms were used in the research: the Embraer 170/190 program from Embraer and the SX platform and X-ray equipment from Siemens. The objective of this article is to expand our comprehension of systems integration as a coordination mechanism in projects. The method adopted in the research is a case study. Data were collected by interviews and by analysis of documents from the two organizations. It was possible to identify and analyze the influence of the level of coupling and how the networks are structured. The research shows two levels of coupling in the modular innovation networks studied: two loosely coupled networks and one tightly coupled network. In addition, it was verified that the system integrators, the organizations that lead the modular networks, act as a matter of facts as knowledge integrators.
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16

Teece, David J. "Monopoly issues in high technology-based industries." R & D Enterprise: Asia Pacific 2, no. 1 (April 1999): 3–5. http://dx.doi.org/10.5172/impp.1999.2.1.3.

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17

Varadan, G. S. "Application of High Technology in Process Industries." IETE Technical Review 4, no. 11 (November 1987): 409–11. http://dx.doi.org/10.1080/02564602.1987.11438180.

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18

Bilenko, Pavel. "Technology transfer for development high-tech industries." Drukerovskij Vestnik, no. 2 (March 2023): 80–90. http://dx.doi.org/10.17213/2312-6469-2023-2-80-90.

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19

Batkovskiy, Aleksandr M., Natalya S. Efimova, Vyacheslav D. Kalachanov, Elena G. Semenova, Alena V. Fomina, and Viktor M. Balashov. "Evaluation of the efficiency of industrial management in high-technology industries." Entrepreneurship and Sustainability Issues 6, no. 2 (December 1, 2018): 577–90. http://dx.doi.org/10.9770/jesi.2018.6.2(8).

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20

Hagey, M. J., and E. J. Malecki. "Linkages in High Technology Industries: A Florida Case Study." Environment and Planning A: Economy and Space 18, no. 11 (November 1986): 1477–98. http://dx.doi.org/10.1068/a181477.

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In this study, survey and interview data from four high technology industrial sectors in northern Florida are used to examine the effect of several establishment and organizational characteristics on the strength of intrastate linkages both of sophisticated and of routine inputs. The empirical findings show that local linkages of Florida's high technology industries are generally weak, and are most local mainly among small, locally owned, research and development-intensive establishments.
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21

Robinson, Ron M., Sharon L. Oswald, Kerry S. Swinehart, and Jeffrey Thomas. "Southwest Industries: Creating high‐performance teams for high‐technology production." Planning Review 19, no. 6 (June 1991): 10–14. http://dx.doi.org/10.1108/eb054338.

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22

YASUDA, Kozo, and Mikio MURO. "High Performance Laser Welding Technology for Heavy Industries." Review of Laser Engineering 27, no. 10 (1999): 665–69. http://dx.doi.org/10.2184/lsj.27.665.

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23

Gal, M. S., and S. W. Waller. "ANTITRUST IN HIGH-TECHNOLOGY INDUSTRIES: A SYMPOSIUM INTRODUCTION." Journal of Competition Law and Economics 8, no. 3 (July 19, 2012): 449–57. http://dx.doi.org/10.1093/joclec/nhs017.

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24

Lause, M. A. "Networked Machinists: High-Technology Industries in Antebellum America." Labor: Studies in Working-Class History of the Americas 5, no. 4 (December 1, 2008): 125–27. http://dx.doi.org/10.1215/15476715-2008-038.

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25

Lee, Jooh, Rebecca Cho Lee, and Shaker A. Zahra. "Dynamics of Competition in Global High Technology Industries." Journal of Euromarketing 3, no. 3-4 (August 18, 1994): 77–98. http://dx.doi.org/10.1300/j037v03n03_05.

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26

Covin, Jeffrey G., and Dennis P. Slevin. "Corporate Entrepeneurship in High and Low Technology Industries." Journal of Euromarketing 3, no. 3-4 (August 18, 1994): 99–127. http://dx.doi.org/10.1300/j037v03n03_06.

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27

Shefer, D., and E. (Lambert) Bar-El. "High-Technology Industries as a Vehicle for Growth in Israel's Peripheral Regions." Environment and Planning C: Government and Policy 11, no. 3 (September 1993): 245–61. http://dx.doi.org/10.1068/c110245.

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This paper is a discussion of the subject of high-technology industrial development in peripheral regions. Findings from the literature are utilized to analyze critically the prospects for promoting high-technology industrial growth in Israel's peripheral regions. Alternative strategies for development are proposed. In section 2, the specific case of Israel, where the development of high-technology industries has recently been given high priority and attracting high-technology industries has been proposed as a viable strategy for promoting growth in peripheral regions, is discussed. This is presented in the context of the history of Israel's industrial development in general and of its high-technology industrial development policy in particular. In section 3, three alternative strategies for development policy are proposed, and the suitability of each to Israel is analyzed. The alternatives—the ‘Silicon Glen’ model, the specific area focus, and local-based development—all pursue strategies that sometimes contradict one another, sometimes overlap, and sometimes reinforce one another, thus generating the possibility of a fourth, and more optimal, policy strategy. In conclusion, it is not proposed that there exists a single policy strategy that could be claimed to be optimal for every peripheral region. Thus, no attempt is made to evaluate the superiority of one strategy alternative over another. This conclusion is reached after comparing the international literature to the case of Israel. It is apparent that high-technology industries are not necessarily always the best solution to the dilemmas of economic development in every region, particularly the ‘outer-ring’ border regions. A separate plan must be made for each peripheral region in light of its specific socioeconomic and locational characteristics. In drafting a regional development policy, planners must then deliberate whether or not high-technology industry is indeed likely to succeed in promoting regional economic growth.
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28

Ismukurnianto, D. A. "Co-Generation Technology For High Efficiency Conversion Of Natural Gas Energy In Indonesia." Scientific Contributions Oil and Gas 21, no. 1 (April 5, 1998): 23–29. http://dx.doi.org/10.29017/scog.21.1.953.

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Very high efficiency energy conversion of natural gas can be obtained by simultaneous production of electricity and thermal energy. In industrial countries, this technology has been widely used in various industries, such as pulps, foods, oil refineries, and chemical industries. Moreover, it is becoming very popular and spans a wide spectrum of market, from the relatively small-scale residential and commercial consumers to large industrial plants.In Indonesia, this technology has an open opportunity for application, particulary in support of the country’s energy conservation and “blue sky” programmes. There are obvious reasons of using this technology, the reduction of fuel consumption of about 75%-80%, and the exces electricity production can be sold to the public utility.This paper will generally discuss the technology of gas co-generation, including its characteristic, and the economic and environmental considerations of using gas co-generation in Indonesia.
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29

WONGLIMPIYARAT, JARUNEE. "THE BOSTON ROUTE 128 MODEL OF HIGH-TECH INDUSTRY DEVELOPMENT." International Journal of Innovation Management 10, no. 01 (March 2006): 47–63. http://dx.doi.org/10.1142/s1363919606001399.

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This study applies the concept of industrial clusters to explain the development of technologically sophisticated region of Boston Route 128. It is argued that the success of Boston, Massachusetts, is rooted in innovation, entrepreneurial management and the policy towards technology commercialisation. To consider the argument, the paper proposes the cluster model to capture the specific features of Boston Route 128. It represents a model of the universities working with industries to form a cluster of high-technology-based firms. The venture capital accelerates the process of technology commercialisation, giving rise to a new Boston model of innovation management. Policy makers may use the Boston model as a benchmark to evaluate their performance in supporting high-tech industries.
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30

Li, Wuwei. "Applying grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries." Grey Systems: Theory and Application 6, no. 2 (August 1, 2016): 143–68. http://dx.doi.org/10.1108/gs-02-2016-0005.

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Purpose – For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations in the measures of industrial characteristics and using traditional statistical techniques. The purpose of this paper is to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries using grey system theory. The research results show that grey system theory is suitable to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Design/methodology/approach – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises. First, based on the data on Chinese large and medium-sized high-tech enterprises for the period of 2011-2013, this paper applies grey relational analysis to identify the relatively most important indexes on affecting innovation capabilities of Chinese high-tech enterprises. Second, based on the results from grey relational analysis, this study draws a ranking of the five Chinese high-tech industries in terms of innovation capabilities by grey decision making. Finally, based on the results from grey decision making, this study applies GM (0, N) model to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Findings – The results of this study show that in the evaluation indexes system of innovation capabilities of high-tech enterprises, personnel in R & D institutions, R & D personnel, internal expenditure on R & D, expenditure on new product development, expenditure on technology imports, expenditure on technology renovation, and expenditure on technology assimilation and absorption are relatively most important elements affecting innovation capabilities of Chinese high-tech enterprises. In addition, the two top ranking on innovation capabilities are manufacture of electronic equipment and communication equipment, and manufacture of medicines. At last, the findings indicate that in the measures of industrial characteristics, the three top ranking on affecting innovation capabilities of Chinese high-tech enterprises are R & D intensity, technology absorption intensity of indigenous high-tech enterprises and foreign-invested enterprises size. The opening level is in the middle position. Technology intensity, market concentration, and state-owned enterprises size are the three bottom ranking on affecting innovation capabilities of Chinese high-tech enterprises. Research limitations/implications – This study has some limitations. First, this study is limited to Chinese high-tech industries. The findings may not be applicable to other countries’ high-tech industries. Further studies with other countries’ high-tech industries could be extended and examined how industrial characteristics affect innovation capabilities of the firms in these industries. Second, the measures of industrial characteristics proposed in this study are somewhat theoretically weak. In the future, the authors will further improve the current analysis, and develop the measures of industrial characteristics. Finally, with the advent of the more data with the consistent statistical coverage released by China’s National Bureau of Statistics during the more continuous years, other methods, such as panel data regression model in econometrics could be used to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. By then, the scholars can compare the results from grey system theory and those from panel data regression model in econometrics. Practical implications – Appropriate industrial environment is favorable for Chinese high-tech enterprises to feed their innovation capabilities. Scientific evaluation on the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries is of great significance for Chinese high-tech enterprises in exerting technological catch-up and promoting their competitive advantage. The purposed measures of industrial characteristics and innovation capabilities of high-tech enterprises in this paper, and combined methodology based on grey system theory could be applied to evaluate the relationship between industrial characteristics and innovation capabilities of Chinese high-tech enterprises. Originality/value – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises, and uses grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.
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31

Harding, David, David Bradford, and Gavin Brown. "Transferring Industrial Automation Technology to the Laboratory." JALA: Journal of the Association for Laboratory Automation 7, no. 2 (April 2002): 84–88. http://dx.doi.org/10.1016/s1535-5535-04-00189-3.

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Over the past few years, there has been much discussion about transferring industrial technology to laboratories. While it is easy to look at the superficial similarities, it is more important to examine the different requirements of different industries. In this way, it is possible to identify the technologies and techniques that can be successfully transferred to the laboratory to improve performance. This paper takes three very different industries — the bakery, High Throughput Screening (HTS) and mobile phone assembly and examines their different requirements. These industries have been selected from among the many sectors where the RTS Group operates — thus allowing real data from a number of situations to be used. One of the most important areas in automation design is the relationship between flexibility and throughput. This paper focuses on this relationship and its influence over machine configuration when comparing the requirements of the different industries.
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32

Beaumont, P. B., and R. I. D. Harris. "High Technology Industries and Non-Union Establishments in Britain." Articles 43, no. 4 (April 12, 2005): 829–46. http://dx.doi.org/10.7202/050453ar.

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This paper seeks to remedy some existing research deficiencies in Britain where discussions of the high technology non-union relationship have overwhelmingly consisted of small partial studies of the electronics industry.
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33

Diebold, William, and Laura D'Andrea Tyson. "Who's Bashing Whom? Trade Conflict in High-Technology Industries." Foreign Affairs 72, no. 2 (1993): 168. http://dx.doi.org/10.2307/20045551.

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34

Krueger, Anne O., and Laura D'Andrea Tyson. "Who's Bashing Whom? Trade Conflict in High-Technology Industries." Southern Economic Journal 60, no. 2 (October 1993): 521. http://dx.doi.org/10.2307/1060109.

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35

Gruber, Harald, and Laura D'Andrea Tyson. "Who's Bashing Whom? Trade Conflict in High-Technology Industries." Economic Journal 103, no. 420 (September 1993): 1328. http://dx.doi.org/10.2307/2234267.

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36

Ito, Takatoshi, and Laura D'Andrea Tyson. "Who's Bashing Whom? Trade Conflict in High-Technology Industries." Journal of Japanese Studies 20, no. 2 (1994): 563. http://dx.doi.org/10.2307/133222.

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37

Kenney, Martin, and Donald Patton. "Entrepreneurial Geographies: Support Networks in Three High-Technology Industries." Economic Geography 81, no. 2 (February 16, 2009): 201–28. http://dx.doi.org/10.1111/j.1944-8287.2005.tb00265.x.

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38

Knowles, Anne Kelly. "Networked Machinists: High-Technology Industries in Antebellum America (review)." Technology and Culture 48, no. 4 (2007): 859–61. http://dx.doi.org/10.1353/tech.2007.0173.

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39

Caballero Gutiérrez, José Luis. "Antitrust and high technology industries: Microsoft in the spotlight." Journal of Intellectual Property Law & Practice 10, no. 10 (July 28, 2015): 798–99. http://dx.doi.org/10.1093/jiplp/jpv118.

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40

WADA, Yasuhiko. "Water Use and Water Resources for High-technology Industries." Journal of Environmental Conservation Engineering 14, no. 4 (1985): 330–35. http://dx.doi.org/10.5956/jriet.14.330.

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41

Lovely, Mary E., and Zixuan Huang. "Foreign Direct Investment in China's High-technology Manufacturing Industries." China & World Economy 26, no. 5 (September 2018): 104–26. http://dx.doi.org/10.1111/cwe.12258.

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42

Singleton, W. T. "The design of design teams in high-technology industries." Applied Ergonomics 18, no. 2 (June 1987): 111–14. http://dx.doi.org/10.1016/0003-6870(87)90203-1.

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43

Clawson, Patrick. "Who's bashing whom? trade conflict in high-technology industries." Orbis 37, no. 2 (March 1993): 305–6. http://dx.doi.org/10.1016/0030-4387(93)90250-g.

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44

Brahm, Richard. "National targeting policies, high-technology industries, and excessive competition." Strategic Management Journal 16, S1 (1995): 71–91. http://dx.doi.org/10.1002/smj.4250160918.

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45

Shapiro, C. "Rohlfs, J. H.: Bandwagon Effects in High-Technology Industries." Journal of Economics 80, no. 3 (November 2003): 287–92. http://dx.doi.org/10.1007/s00712-003-0022-1.

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46

Dick, Andrew R. "Who's bashing whom?: Trade conflict in high-technology industries." Journal of International Economics 35, no. 1-2 (August 1993): 185–91. http://dx.doi.org/10.1016/0022-1996(93)90012-m.

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47

Tu, Yanhong, Leilei Zhang, and Xue Li. "Industry Development Tendency and Innovation Strategy Preference of Five Typical Industries under the Background of Low-Carbon Sustainable Development in China." Complexity 2022 (June 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/4418669.

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This paper tries to investigate the future development tendency of five typical industries in China and find out whether there exists a different innovation strategy preference between Chinese firms of low- and high-knowledge density industry in the background of low-carbon sustainable development. First, this paper finds that the innovation driven-based trend of industrial development is further accelerated in China. Firms in industries with high knowledge and technology density, such as specialized-supplier, scale-intensive, and science-based industries, are more likely to choose exploratory innovation strategy than exploitative innovation strategy. Firms in industries with low knowledge and technology density like service- and supplier-dominated industries are more likely to choose the exploitative innovation strategy. Second, results indicate that exploratory innovation can bring higher technological innovation performance than exploitative innovation. And the effect of the ambidextrous strategy is better than the single exploitative strategy in industries with high knowledge and technology density like specialized-supplier, scale-intensive, and science-based industries. Third, this paper suggests that innovation strategy preference plays a mediating role between industry type and technology innovation and a moderating effect of knowledge management capacity between innovation strategy and firms’ technology innovation.
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48

Shi, Junwei, and Yingjing Yu. "To Advance Industrial Green Technology via Environmental Governance—Evidence from China’s Industrial Sector." Processes 9, no. 10 (October 11, 2021): 1797. http://dx.doi.org/10.3390/pr9101797.

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Industrial green technology progress is an effective way to realize high-quality economic development in China. The different competitive incentives of local governments make a difference in the intensity of environmental regulation between regions. The intensity of environmental regulation is different in different areas of the same industry, leading to the inter-regional transfer of pollution enterprises. The regional distribution of industries is different, which determines the different industries’ needs to coordinate different regions. Only when various industries realize the coordination of regional governance can they jointly promote the progress of industrial green technology. Based on data from 33 industrial sectors in China from 2001 to 2015 and considering the institutional evolution of governance synergy, this study comprehensively investigated the influence mechanism of local government environmental regulation on the industrial green technology progress using the mediating effect model. We found that environmental regulation promoted industrial technological progress through governance synergy and a low degree of inter-regional regulation coordination hindered the industries’ green technology progress. With the change in inter-regional governance synergy levels, we further discovered that the impact of environmental regulation on industrial green technology progress changed substantially. At a low level of governance synergy, environmental regulation inhibited industrial green technology progress. At a high level of governance synergy, environmental regulation promoted industrial green technology progress. While strengthening environmental regulation, we should promote inter-regional cooperation at the industry level. Only by collectively enforcing pollution regulations in industrial level can industrial green technology progress be promoted.
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49

Zhang, Yang, Wenlong Li, Jiawen Sun, Haidong Zhao, and Haiying Lin. "A Research Paradigm for Industrial Spatial Layout Optimization and High-Quality Development in The Context of Carbon Peaking." Sustainability 15, no. 4 (February 8, 2023): 3105. http://dx.doi.org/10.3390/su15043105.

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The reasonable spatial layout of industries is crucial to carbon reduction and high-quality economic development. This paper establishes a research paradigm for optimizing the industrial spatial layout and high-quality development in the context of carbon peaking. Based on the perspectives of industrial transfer, the static agglomeration index, dynamic agglomeration index, industrial gradient coefficient, and low-carbon competitiveness index are used to analyze industrial agglomeration, competition status, and low-carbon competitiveness. Taking the Great Bend of the Yellow River (the Bend) as an example, we analyze the current situation in industrial development, guide the orderly transfer of industry, and optimize the spatial layout of industries to achieve high-quality economic development. The results show that resource- and capital-intensive industries have obvious advantages in agglomeration, competitive edge, and low-carbon competitiveness, while labor- and technology-intensive industries have weak advantages. The spatial layout of agglomerated industries was analyzed across four types of factor-intensive industries; these industries are the focus of industrial layout in the Bend. Promising industries were observed in all types of factor-intensive industries except capital-intensive industries, and these industries should be cultivated carefully in all provinces. Scale industries were mainly observed in resource- and capital-intensive industries; these industries should be transformed and upgraded to control the total amount and intensity of carbon emissions. The study’s findings provide a basis for optimizing the spatial layout of industries and reducing carbon emissions through industrial transfer in the context of carbon peaking. The relevant industries should be transformed and upgraded to control the total amount and intensity of carbon emissions.
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50

Li, Wenchao, Zhihao Wei, Lingyu Xu, and Shumin Jiang. "Research on the Emission Reduction Effect of International Technology Import in China’s Key Industries." Atmosphere 14, no. 7 (July 14, 2023): 1146. http://dx.doi.org/10.3390/atmos14071146.

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In the context of carbon neutralization and carbon peak, carbon reduction in key industries has become a central topic in our country. As an important part of technological progress, it is necessary to study the effect of technology import on carbon emission reduction in key industries. Based on the panel data of 30 provinces. from 2011 to 2020, this paper used the fixed-effect model to analyze the emission reduction effect in key industries on the development status of technology import. The spatial econometric model was used to analyze the spatial characteristics of carbon emissions of technology import and key industries. Then, the mediating effect model was used to bring industrial technological innovations into the research category to analyze the mediating role of technology imports on the carbon emissions of key industries. Finally, a robustness test proved the reliability of the model. The findings were as follows: (1) Technology import significantly promoted carbon emission reduction in key industries; (2) In terms of the spatial relationship, technology import and carbon dioxide emissions had significant spillover effects, and there were trends of high and high aggregation and low and low aggregation, with the impact of technology import on carbon dioxide emissions having a siphon effect; (3) Industrial technological innovation played an intermediary role in this path, but it was a negative role, which was not, in general, conducive to the reduction of carbon emissions of key industries. On this basis, the paper puts forward several policy suggestions.
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