文章通过构建三阶段理论框架系统分析了信贷空间配置效率通过技术创新推动企业全球价值链攀升的作用机制。文章基于中国微观数据的实证检验表明:提高信贷空间配置效率将显著促进本地企业全球价值链攀升,该效应主要通过激发技术创新而非要素积累实现;其对原始创新、改进型创新与创新质量均有显著正向影响,且该效应集中于技术密集型行业、长期贷款占比高及创新活跃的大型企业。进一步分析表明,周边信贷配置改善通过溢出效应促进本地技术创新;原始创新的外部性强于改进型创新,经济与产业相似度强化此溢出效应;高铁连通性则引发“虹吸效应”与“挤出效应”;信贷空间配置效率提高有效缓解了私营企业融资约束,同时抑制了传统制造业国企低效扩张。文章的研究为优化信贷空间配置、促进中国企业全球价值链攀升提供了理论依据与政策启示。
信贷空间配置效率、技术创新与全球价值链攀升
摘要
参考文献
1 戴小勇. 中国高创新投入与低生产率之谜: 资源错配视角的解释[J]. 世界经济, 2021, (3): 86−109. DOI:10.19985/j.cnki.cassjwe.2021.03.005
2 何德旭, 张雪兰. 从金融视角看中国式现代化道路[J]. 中国社会科学, 2023, (5): 26−46.
3 李强, 郑江淮. 基于产品内分工的我国制造业价值链攀升: 理论假设与实证分析[J]. 财贸经济, 2013, (9): 95−102.
4 陆铭, 张航, 梁文泉. 偏向中西部的土地供应如何推升了东部的工资[J]. 中国社会科学, 2015, (5): 59−83.
5 马述忠, 张洪胜, 王笑笑. 融资约束与全球价值链地位提升——来自中国加工贸易企业的理论与证据[J]. 中国社会科学, 2017, (1): 83−107.
6 苏丹妮, 盛斌, 邵朝对, 等. 全球价值链、本地化产业集聚与企业生产率的互动效应[J]. 经济研究, 2020, 55(3): 100−115.
7 孙志燕, 侯永志. 对我国区域不平衡发展的多视角观察和政策应对[J]. 管理世界, 2019, 35(8): 1−8. DOI:10.3969/j.issn.1002-5502.2019.08.001
8 肖宇, 田侃. 融资杠杆率与中国企业全球价值链攀升[J]. 经济管理, 2020, (1): 42−58. DOI:10.19616/j.cnki.bmj.2020.01.003
9 杨洋, 赵茂, 史一翔. 中国金融资源错配: 形成、效应与纠正[M]. 北京: 社会科学文献出版社, 2022.
10 郑江淮, 郑玉. 新兴经济大国中间产品创新驱动全球价值链攀升——基于中国经验的解释[J]. 中国工业经济, 2020, (5): 61−79.
11 周经, 刘祥瑞, 王馗, 等. 智能制造与企业出口产品加成率: 迈向出口高质量发展之路[J]. 世界经济研究, 2024, (10): 63−77.
12 Aghion P, Akcigit U, Howitt P. Chapter 1-What do we learn from Schumpeterian growth theory?[J]. Handbook of Economic Growth, 2014, 2: 515−563. DOI:10.3386/w18824
13 Almeida H, Carvalho D, Kim T. The working capital credit multiplier[J]. The Journal of Finance, 2024, 79(6): 4247−4302. DOI:10.1111/jofi.13385
14 Aoki S. A simple accounting framework for the effect of resource misallocation on aggregate productivity[J]. Journal of the Japanese and International Economies, 2012, 26(4): 473−494. DOI:10.1016/j.jjie.2012.08.001
15 Chor D, Manova K, Yu Z H. Growing like China: Firm performance and global production line position[J]. Journal of International Economics, 2021, 130: 103445. DOI:10.1016/j.jinteco.2021.103445
16 Hsieh C T, Klenow P. Misallocation and manufacturing TFP in China and India[J]. The Quarterly Journal of Econo- mics, 2009, 124(4): 1403−1448. DOI:10.3386/w13290
17 Hsieh C T, Klenow P J. The life cycle of plants in India and Mexico[R]. NBER Working Paper No. 18133, 2012.
18 Jaffe A B, Trajtenberg M, Henderson R. Geographic localization of knowledge spillovers as evidenced by patent citations[J]. The Quarterly Journal of Economics, 1993, 108(3): 577−598. DOI:10.3386/w3993
19 Javorcik B S. Does foreign direct investment increase the productivity of domestic firms? In search of spillovers through backward linkages[J]. American Economic Review, 2004, 94(3): 605−627. DOI:10.1257/0002828041464605
20 Kee H L, Tang H W. Domestic value added in exports: Theory and firm evidence from China[J]. American Economic Review, 2016, 106(6): 1402−1436. DOI:10.1257/aer.20131687
21 Kline P, Moretti E. Local economic development, agglomeration economies, and the big push: 100 years of evidence from the Tennessee Valley Authority[J]. The Quarterly Journal of Economics, 2014, 129(1): 275−331. DOI:10.1093/qje/qjt034
22 Lenzu S, Manaresi F. Sources and implications of resource misallocation: New evidence from firm-level marginal products and user costs[R]. Questioni di Economia e Finanza (Occasional Papers) No. 485, 2019.
23 Liu H Y, Liu S Y, Shen J H, et al. Global value chain embeddedness and Chinese firms’cross-border mergers & acquisitions[J]. Structural Change and Economic Dynamics, 2024, 68: 393−411. DOI:10.1016/j.strueco.2023.11.004
24 Liu J Y, Wang Z W, Zhu W X. Does privatization reform alleviate ownership discrimination? Evidence from the split-share structure reform in China[J]. Journal of Corporate Finance, 2021, 66: 101848. DOI:10.1016/j.jcorpfin.2020.101848
25 Manova K. Credit constraints, heterogeneous firms, and international trade[J]. The Review of Economic Studies, 2013, 80(2): 711−744. DOI:10.1093/restud/rds036
26 Manova K, Yu Z H. How firms export: Processing vs. ordinary trade with financial frictions[J]. Journal of International Economics, 2016, 100: 120−137. DOI:10.1016/j.jinteco.2016.02.005
27 Manova K, Zhang Z. Export prices across firms and destinations[J]. The Quarterly Journal of Economics, 2012, 127(1): 379−436. DOI:10.1093/qje/qjr051
28 Meza F, Pratap S, Urrutia C. Credit, misallocation and productivity growth: A disaggregated analysis[J]. Review of Economic Dynamics, 2019, 34: 61−86. DOI:10.1016/j.red.2019.03.004
29 Mian A, Sufi A. House prices, home equity-based borrowing, and the US household leverage crisis[J]. American Economic Review, 2011, 101(5): 2132−2156. DOI:10.1257/aer.101.5.2132
30 Rambachan A, Roth J. A more credible approach to parallel trends[J]. The Review of Economic Studies, 2023, 90(5): 2555−2591. DOI:10.1093/restud/rdad018
31 Restuccia D. Misallocation and aggregate productivity across time and space[J]. Canadian Journal of Economics/Revue canadienne d'économique, 2019, 52(1): 5−32. DOI:10.1111/caje.12364
32 Saiz A. The geographic determinants of housing supply[J]. The Quarterly Journal of Economics, 2010, 125(3): 1253−1296. DOI:10.1162/qjec.2010.125.3.1253
33 Stefano E D, Marconi D. Structural transformation and allocation efficiency in China and India[R]. Banca D’Italia Temi Di Discussione (Working Papers) No. 1093, 2016.
34 Vouldis A T. Measuring credit demand and supply: A Bayesian model with an application to Greece (2003-2011)[J]. Jahrbücher für Nationalö konomie und Statistik, 2018, 238(1): 33−76. DOI:10.1515/jbnst-2017-0108
35 Whited T M, Zhao J. The misallocation of finance[J]. The Journal of Finance, 2021, 76(5): 2359−2407. DOI:10.1111/jofi.13031
引用本文
张雪兰, 杨瑞桐, 吴蓉蓉. 信贷空间配置效率、技术创新与全球价值链攀升[J]. 财经研究, 2026, 52(8): 20-34.
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