Abstract
The spatial effects of agricultural market integration on industrial agglomeration are an important field of regional economic. This paper collected the data of agricultural market integration and industrial agglomeration in 31 provinces in China from 2010 to 2019, analyzed the spatial effects of the two by constructing a dynamic spatial Dubin model, and explored its long-term and short-term effects of the spatial effects. The results show the following: (1) the primary terms of agricultural market integration were negative and the secondary terms were positive. The impact of agricultural market integration on local industrial agglomeration had a “U-shaped” characteristic. Whether in the short-term or long-term, there was a significant direct effect of “suppression to promotion.” (2) The agricultural market integration had a spatial spillover effect on industrial agglomeration in the neighboring areas. This effect had an “inverted U-shaped” characteristic. Whether in the short-term or long-term, there was a prominent spatial spillover effect of “promotion to suppression.” (3) For direct effects, the short-term direct effects of agricultural market integration on industrial agglomeration were − 0.0452 and 0.0077, and the long-term direct effects were − 0.2430 and 0.0419. For spatial spillover effects, the short-term spatial spillover effects were 0.0983 and − 0.0179, and the long-term spatial spillover effects were 0.4554 and − 0.0827. The long-term effects were greater than the short-term effects. This paper provides empirical evidence for the effects of agricultural market integration on industrial agglomeration in different regions, and exploring the development of agricultural agglomeration in the long-term.
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The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
References
Agnosteva DE, Anderson JE, Yotov YV (2019) Intra-national trade costs: assaying regional frictions. Eur Econ Rev 112:32–50. https://doi.org/10.1016/j.euroecorev.2018.11.008
Ahmad M, Jabeen G, Khan Z, Anser MK, Jabeen G (2021) Do rural-urban migration and industrial agglomeration mitigate the environmental degradation across China’s regional development levels? Sustain Prod Consum 27:679–697. https://doi.org/10.1016/j.spc.2021.01.038
Andrle M, Blagrave P (2020) Agricultural market integration in India. IMF Work Pap 20(115):11–15. https://doi.org/10.5089/9781513549163.001
Aruga K, Li R (2016) Testing market integration for Japanese retail seafood markets. Aust J Agric Resour Econ 60(2):212–226. https://doi.org/10.1111/1467-8489.12121
Bai C, Du Y, Tao Z, Tong Y (2004) Local protectionism and industrial concentration in China: overall trend and important factors. Econ Res J 4:29–40(in Chinese). https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKgchrJ08w1e7eeyE9jLkqq9H3JOmugRc6kR9U-K4uikfJHG1EI5uOInjOmAgT_vkbflEnhwKPM-n&uniplatform=NZKPT
Barrett CB (2001) Measuring integration and efficiency in international agricultural markets. Rev Agric Econ 23(1):19–32. https://doi.org/10.1111/1058-7195.00043
Bemrose RK, Brown WM, Tweedle J (2020) Going the distance: estimating the effect of provincial borders on trade when geography (and everything else) matters. Can J Econ 53(3):1098–1131. https://doi.org/10.1111/caje.12466
Cecchetti SG, Mark NC, Sonora RJ (2002) Price index convergence among United States cities. Int Econ Rev 43(4):1081–1099. https://doi.org/10.1111/1468-2354.t01-1-00049
Chahrour R, Stevens L (2020) Price dispersion and the border effect. J Monetary Econ 116:135–146. https://doi.org/10.1016/j.jmoneco.2019.09.014
Chen L, Devereux J (2003) What can US city price data tell us about purchasing power parity? J Int Money Finance 22(2):213–222. https://doi.org/10.1016/S0261-5606(02)00102-X
Chen C, Sun Y, Lan Q, Jiang F (2020) Impacts of industrial agglomeration on pollution and ecological efficiency-a spatial econometric analysis based on a big panel dataset of China’s 259 cities. J Clean Prod 258:120721. https://doi.org/10.1016/j.jclepro.2020.120721
Combes P-P, Lafourcade M (2005) Transport costs: measures, determinants, and regional policy implications for France. J Econ Geogr 5(3):319–349. https://doi.org/10.1093/jnlecg/lbh062
Crucini MJ, Shintani M (2008) Persistence in law of one price deviations: evidence from micro-data. J Int Money Finance 55(3):629–644. https://doi.org/10.1016/j.jmoneco.2007.12.010
Daumal M, Zignago S (2010) Measure and determinants of border effects of Brazilian states. Pap Reg Sci 89(4):735–758. https://doi.org/10.1111/j.1435-5957.2009.00265.x
Debarsy N, Ertur C, LeSage JP (2012) Interpreting dynamic space-time panel data models. StatMethodol 9(1–2):158–171. https://doi.org/10.1016/j.stamet.2011.02.002
Dong X, Xu S, Li Z, Li G (2011) Price transmission in China’s fresh produce market under perfect competition conditions: the case of tomatoes. Chin Rural Econ (02):22–32+51(in Chinese). https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKgchrJ08w1e7tvjWANqNvp-DuNMTSRwIYpAQJ64E9J5RJz0mMaTk_8hvaPu-BYJX7UkSE4oZmOa9&uniplatform=NZKPT
Duranton G, Overman HG (2005) Testing for localization using micro-geographic data. Rev Econ Stud 72(4):1077–1106. https://doi.org/10.1111/0034-6527.00362
Eakin H, Sweeney S, Lerner AM, Appendini K, Perales H, Steigerwald DG, Dewes CF, Davenport F, Bausch JC (2018) Agricultural change and resilience: agricultural policy, climate trends and market integration in the Mexican maize system. Anthropocene 23:43–52. https://doi.org/10.1016/j.ancene.2018.08.002
Elberg A (2016) Sticky prices and deviations from the law of one price: evidence from Mexican micro-price data. J Int Econ 98:191–203. https://doi.org/10.1016/j.jinteco.2015.10.002
Engelstoft S, Jensen-Butler C, Smith I, Winther L (2006) Industrial clusters in Denmark: theory and empirical evidence. Pap Reg Sci 85(1):73–98. https://doi.org/10.1111/j.1435-5957.2006.00067.x
Evenson RE (1989) Spillover benefits of agricultural research: evidence from U.S. experience. Am J Agric Econ 71(2):447–452. https://doi.org/10.2307/1241609
Fan S, Wei X (2006) The law of one price: evidence from the transitional economy of China. Rev Econ Stat 88(4):682–697 https://www.jstor.org/stable/40043028
Feldman MP (1999) The new economics of innovation, spillovers and agglomeration: a review of empirical studies. Econ Innov New Technol 8(1):5–25. https://doi.org/10.1080/10438599900000002
Fielding D, Hajzler C, Macgee J (2015) Distance, language, religion, and the law of one price: evidence from Canada and Nigeria. J Money Credit Bank 47(5):1007–1029. https://doi.org/10.1111/jmcb.12233
Florax RJGM, Folmer H, Rey SJ (2003) Specification searches in econometrics: the relevance of Hendry’s methodology. Reg Sci Urban Econ 33(5):557–579. https://doi.org/10.1016/S0166-0462(03)00002-4
Forslid R, Haaland JI, Knarvik K (2002) A u-shaped Europe?: a simulation study of industrial location. J Int Econ 57(2):273–297. https://doi.org/10.1016/000155598441819
Fujita M, Hu D (2001) Regional disparity in China 1985–1994: the effects of globalization and economic liberalization. Ann Reg Sci 35(1):3–37. https://doi.org/10.1007/s001680000020
Fujita M, Mori T (2005) Frontiers of the new economic geography. Pap Reg Sci 84(3):307–405. https://doi.org/10.1111/j.1435-5957.2005.00021.x
Ghosh M (2011) Agricultural policy reforms and spatial integration of food grain markets in India. J Econ Dev 36(2):15–37. https://doi.org/10.35866/caujed.2011.36.2.002
Gopinath G, Gourinchas P-O, Hsieh C-T, Li N (2011) International prices, costs, and markup differences. Am Econ Rev 101(6):2450–2486. https://doi.org/10.1257/aer.101.6.2450
Han F, Xie R, Lu Y, Fang J, Liu Y (2018) The effects of urban agglomeration economies on carbon emissions: evidence from Chinese cities. J Clean Prod 172:1096–1110. https://doi.org/10.1016/j.jclepro.2017.09.273
He Y, Zhou G, Tang C, Fan S, Guo X (2019) The spatial organization pattern of urban-rural integration in urban agglomerations in China: an agglomeration-diffusion analysis of the population and firms. Habitat Int 87:54–65. https://doi.org/10.1016/j.habitatint.2019.04.003
Hillberry RH (2002) Aggregation bias, compositional change, and the border effect. Can J Econ 35(3):517–530. https://doi.org/10.1111/1540-5982.00143
Hou X (2017) The transformation of economic structure and the realization of growth: an analysis based on the dynamic spatial model of the economic structure of China’s provinces. Econ Rev 04:3–14+148. https://doi.org/10.19361/j.er.2017.04.01
Huang G, Zhao L, Wang X (2018) An analysis of the spatial—temporal coupling between population urbanization and agricultural produces circulation industry efficiency. Bus Res 09:146–156. https://doi.org/10.13902/j.cnki.syyj.2018.09.019
Huang F, Gao Z (2016) Review and prospects of research on agricultural industrial clusters at home and abroad. Xinjiang Agr Reclam Econ (03):87–92(in Chinese). https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKibYlV5Vjs7ijP0rjQD-AVm8oHBO0FTadivz0d23wFfmAuxn_VMkacp-C3YscFNcZUdSEvwVoKuY&uniplatform=NZKPT
Jiang M (2014) Saving-investment association and regional capital mobility in China: a nonparametric panel approach. Pac Econ Rev 19(2):184–200. https://doi.org/10.1111/1468-0106.12026
Jiang L (2018) On invalidation of lagrange multiplier test and decision process of spatial econometric models—evidence based on socio-economic factors of air quality index of China. J Financ Econ Theory 05:37–50. https://doi.org/10.13894/j.cnki.jfet.2018.05.005
Kano K, Kano T, Takechi K (2021) The price of distance: pricing-to-market and geographic barriers. J Econ Geogr 22(4):873–899. https://doi.org/10.1093/jeg/lbab013
Ke S, Yu Y (2014) The pathways from industrial agglomeration to TFP growth—the experience of Chinese cities for 2001–2010. J Asia Pac Econ 19(2):310–332. https://doi.org/10.1080/13547860.2014.880286
Krugman P (1991) lncreasing returns and economic geography. J Polit Econ 99(3):483–499. https://doi.org/10.2307/2937739
Lai JT, McNelis PD, Yan IKM (2013) Regional capital mobility in China: economic reform with limited financial integration. J Int Money Finance 37:493–503. https://doi.org/10.1016/j.jimonfin.2013.07.001
Lan Y, Sylwester K (2010) Does the law of one price hold in China? Testing price convergence using disaggregated data. China Econ Rev 21(2):224–236. https://doi.org/10.1016/j.chieco.2009.06.009
Legro P, Newman AF (2013) Price theory of vertical and lateral integration. Q J Econ 128(2):725–770. https://doi.org/10.1093/qje/qjs075
Legros P, Newman AF (2009) A price theory of vertical and lateral integration. Q J Econ 128(7211):725–770. https://doi.org/10.1093/qje/qjs075
LeSage J, Pace RK (2009) Introduction to spatial econometrics, 1st edn. Chapman and Hall/CRC, New York, pp 201–207. https://doi.org/10.1201/9781420064254
Li K, Qi S (2018) Spatial spillover effect of international environmental technology knowledge—based on the measure of local and cross-regional spillover effects. R&D Manage 30(05):1–14. https://doi.org/10.13581/j.cnki.rdm.2018.05.001
Li Y, Westlund H, Liu Y (2019) Why some rural areas decline while some others not: an overview of rural evolution in the world. J Rural Stud 68:135–143. https://doi.org/10.1016/j.jrurstud.2019.03.003
Liliane C, Michel C, Jacques M (1982) More about the law of one price. Eur Econ Rev 18(2):325–344. https://doi.org/10.1016/S0014-2921(82)80044-5
Limao N, Venables AJ (2001) Infrastructure, geographical disadvantage, transport costs, and trade. World Bank Econ Rev 15(3):451–479. https://www.jstor.org/stable/3990110
Lin Y (2021) Comparative advantage, competitive advantage and regional integration. J Hohai Univ 23(5):1–8+109. https://doi.org/10.3876/j.issn.1671.4970.2021.05.001
Liu Z, Xu Y (2013) Foreign trade, domestic market integration and regional economic growth: an analysis based on bootstrap panel granger causality. World Econ Res 03:22–28+87. https://doi.org/10.13516/j.cnki.wes.2013.03.001
Liu C, Zhao X (2019) Research on the spillover effect of population aging on the industrial structure upgrading: based on spatial dynamic Durbin model. J Appl Stat Manage 38(06):1062–1079. https://doi.org/10.13860/j.cnki.sltj.20190530-001
Liu X, Zou B, Feng H, Liu N, Zhang H (2020) Anthropogenic factors of PM2.5 distributions in China’s major urban agglomerations: a spatial-temporal analysis. J Clean Prod 264:121709. https://doi.org/10.1016/j.jclepro.2020.121709
Lu M, Chen Z (2009) Fragmented growth: why economic opening may worsen domestic market segmentation? Econ Res J 44(03):42–52(in Chinese). https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKgchrJ08w1e75TZJapvoLK351eRzTlrL1XqlgCXkRQCdq7OBWR5IyHZPdfxeZv4hclmJ9ypahtVU&uniplatform=NZKPT
Mao Q, Wang F (2018) Transport development, market segmentation and regional industrial growth. Financ Trade Res 29(08):16–30. https://doi.org/10.19337/j.cnki.34-1093/f.2018.08.002
Martínez-San Román V, Mateo-Mantecón I, Sainz-González R (2017) Intra-national homebias: new evidence from the United States commodity flow survey. Econ Lett 151:4–9. https://doi.org/10.1016/j.econlet.2016.11.038
Messerlin PA (2001) Measuring the costs of protection in Europe: European commercial policy in the 2000s. Institute of International Economics, Washington DC, pp 56–60. https://books.google.com.my/books?hl=zh-CN&lr=&id=rf6_YsvRuPoC&oi=fnd&pg=PR13&dq=Measuring+the+costs+of+protection+in+Europe:+European+commercial+policy+in+the+2000s.&ots=_2ZXnFkG_s&sig=Qp3GwLx3ZhZJ7BUw6Etyfa6ufW4&redir_esc=y#v=onepage&q=Measuring%20the%20costs%20of%20protection%20in%20Europe%3A%20European%20commercial%20policy%20in%20the%202000s.&f=false
Morshed AKMM, Ahn SK, Lee M (2006) Price convergence among Indian cities: a cointegration approach. J Asian Econ 17(6):1030–1043. https://doi.org/10.1016/j.asieco.2006.09.009
Mukhametgaliev F, Sitdikova L, Mukhametgalieva F, Battalova A (2020) Development of integration processes in the agricultural sector. BIO Web Conf 27:00116. https://doi.org/10.1051/bioconf/20202700116
Olper A, Raimondi V (2008) Agricultural market integration in the OECD: a gravity-border effect approach. Food Policy 33(2):165–175. https://doi.org/10.1016/j.foodpol.2007.06.003
Parsley DC, Wei S (2001) Convergence to the law of one price without trade barriers of currency fluctuations. Q J Econ 111(4):1211–1236. https://doi.org/10.2307/2946713
Ping Y, Shi W (2023) Agglomeration, spatial spillover of agro-processing industry and high-quality agricultural development. Chin J Agric Resour Reg Plann 44(03):155–167(in Chinese). https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKu87-SJxoEJu6LL9TJzd50lpuK3cr0U1W6_n67ArRTHzYNQ1ByevWoZIxgCrrrw-f6vldYtLarPc&uniplatform=NZKPT
Pippenger J, Phillips L (2008) Some pitfalls in testing the law of one price in commodity markets. J Int Money Finance 27(6):915–925. https://doi.org/10.1016/j.jimonfin.2008.05.003
Poncet S (2005) A fragmented China: measure and determinants of Chinese domestic market disintegration. Rev Int Econ 13(3):409–430. https://doi.org/10.1111/j.1467-9396.2005.00514.x
Popat M, Griffith G, Mounter S, Cacho O (2022) Infrastructure investments, regional trade agreements and agricultural market integration in Mozambique. Food Secur 14(1):9–22. https://doi.org/10.1007/s12571-021-01207-2
Rosenthal SS, Strange WC (2004) Evidence on the nature and sources of agglomeration economies. Handb Reg Urban Econ 4:2119–2171. https://doi.org/10.1016/S1574-0080(04)80006-3
Sekhar C (2012) Agricultural market integration in India: an analysis of select commodities. Food Policy 37(3):309–322. https://doi.org/10.1016/j.foodpol.2012.03.002
Shao S, Li X, Cao J, Yang L (2016) Economic policy choices for China’s haze pollution control: based on the perspective of spatial spillover effects. Econ Res 51(09):73–88(in Chinese). https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKibYlV5Vjs7ijP0rjQD-AVm8oHBO0FTadkumpNiFVFGCuCzg6HGgidRnOevsAJMK8lFEbo82DztC&uniplatform=NZKPT
Shen N, Peng H (2020) Can industrial agglomeration achieve the emission-reduction effect? Socio-Econ Plan Sci 75:100867. https://doi.org/10.1016/j.seps.2020.100867
Song C, Chen Y, Yin G, Hou Y (2023) Spatial correlation and influencing factors of industrial agglomeration and pollution discharges: a case study of 284 cities in China. Environ Sci Pollut Res 30(1):434–450. https://doi.org/10.1007/s11356-022-22230-6
Sonora RJ (2008) Bivariate relative city price convergence in the United States: 1918–1997. Rev Financial Econ 17(2):92–111. https://doi.org/10.1016/j.rfe.2007.02.010
Wang L (2019) Does online retail increase manufacturing agglomeration? A time-space effect analysis based on dynamic SDM. Chin Econ Stud 315(04):68–81. https://doi.org/10.19365/j.issn1000-4181.2019.04.05
Wang Y, Wang J (2019) Does industrial agglomeration facilitate environmental performance: new evidence from urban China? J Environ Manage 248:109244. https://doi.org/10.1016/j.jenvman.2019.07.015
Wang K, Li Z, Zhou J (2014a) An analysis of the channels in agricultural supply chain integrated with e-commerce-evidence from “Cai Guan Jia.” East China Econ Manage 12:157–161. https://doi.org/10.3969/j.issn.1007-5097.2014.12.031
Wang K, Li Z, Zhou J (2014) Urban-rural integrated supply chain design and analysis based on spatial price equilibrium. Soft Sci 09:44–49. https://doi.org/10.13956/j.ss.2014.09.043
Wei G, Li X, Yu M, Lu G, Chen Z (2022) Influence mechanism of transportation integration on industrial agglomeration in urban agglomeration theory—taking the Yangtze River delta urban agglomeration as an example. Appl Sci 12(16):8369. https://doi.org/10.3390/app12168369
Wolf HC (2000) Intranational home bias in trade. Rev Econ Stat 82(4):555–563. https://doi.org/10.2307/2646651
Wu J, Ge Z, Han S, Xing L, Zhu M, Zhang J, Liu J (2020) Impacts of agricultural industrial agglomeration on China’s agricultural energy efficiency: a spatial econometrics analysis. J Clean Prod 260:121011. https://doi.org/10.1016/j.jclepro.2020.121011
Yilmazkuday H (2012) Understanding interstate trade patterns. J Int Econ 86(1):158–166. https://doi.org/10.1016/j.jinteco.2011.08.015
Young A (2000) The Razor’s edge: distortions and incremental reform in the People’s Republic of China. Q J Econ 115(4):1091–1135. https://doi.org/10.1162/003355300555024
Yu Y, Liu D, Gong Y (2019) Target of local economic growth and total factor productivity. Manage World 35(7):26–42. https://doi.org/10.19744/j.cnki.11-1235/f.2019.0090
Zeng G, Ding Y (2021a) Does agglomeration externalities promote the growth of county-level industries? Based on the empirical evidence of the agricultural and sideline food processing industry in Hubei Province. World Agr 03:120–130. https://doi.org/10.13856/j.cn11-1097/s.2021.03.012
Zeng G, Ding Y (2021b) Research on the economic effects of agglomeration of agricultural products processing industry in prefecture-level cities in China. Econ Issues 05:102–110. https://doi.org/10.16011/j.cnki.jjwt.2021.05.015
Zeng Y, Guo H, Qiu D (2015) Industrial agglomeration effect, factors congestion and efficiency improvement: an empirical analysis based on agro-processing industry clusters in Zhejiang province. J Agro-For Econ Manage 14(03):218–225. https://doi.org/10.16195/j.cnki.cn36-1328/f.2015.03.002
Zeng W, Xian M (2021) Decline risks and governance of village community: a case study based on the comprehensive revitalization of the richest village in Nanjing. Chin Rural Surv (01):22–39(in Chinese). https://kns.cnki.net/KXReader/Detail?invoice=YDuj3VlMiGWB3lrWC2KKGZvbn6rvfIriH3ejtDK%2FCJvk7%2BHw2%2FzIpVh1HXhAG7TR%2F%2FsRqve741HGxKtcqvbND86tcaONq7cInAoFYNJ%2Fe78mACQ4vQxMuZrpwcn3D7Sor1MAq0hFHvpmFvBtDn%2F%2FCcWZ8FlLRQn15NUjQFS%2BJU8%3D&DBCODE=CJFD&FileName=ZNCG202101002&TABLEName=cjfdlast2021&nonce=4CC6F537833E4844BCC0E42AF04D26E4&TIMESTAMP=1685502771743&uid=
Zhang Y, Jiang L, Shi W (2020) Exploring the growth-adjusted energy-emission efficiency of transportation industry in China. Energy Econ 90:104873. https://doi.org/10.1016/j.eneco.2020.104873
Zhao M, Cao B (2021) Study on spatial agglomeration characteristics and causes of corn processing industry in China. J Shanxi Agr Univ (Soc Sci Ed) 5:10–20. https://doi.org/10.13842/j.cnki.issn1671-816X.2021.05.002
Zhao Q, Xiong X (2009) Comparative analysis of the degree of segmentation of China’s three major markets: time trends and regional differences. World Econ 06:41–53. https://doi.org/10.19985/j.cnki.cassjwe.2009.06.005
Zheng Y, Li C (2003) Efficiency loss caused by regional separation. Chin Soc Sci (01):64–72+205(in Chinese). https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKgchrJ08w1e7ZCYsl4RS_3i4rfqVo8DbKQc7TSsxm5pK5BdRUg3Ugd0OzxRsi4eHM2K8QzEU4iIK&uniplatform=NZKPT
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This study was supported by The Postgraduate Research & Practice Innovation Program of Jiangsu Province (Grant number: KYCX21_0554).
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Xinru Miao, Jiqin Han, Shaopeng Wang, and Xueying Li. The first draft of the manuscript was written by Xinru Miao and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Miao, X., Han, J., Wang, S. et al. Spatial effects of market integration on the industrial agglomeration of agricultural products: evidence from China. Environ Sci Pollut Res 30, 84949–84971 (2023). https://doi.org/10.1007/s11356-023-28303-4
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DOI: https://doi.org/10.1007/s11356-023-28303-4