Rural sustainable development: A case study of the Zaozhuang Innovation Demonstration Zone in China

doi:10.1016/j.regsus.2023.11.004

Abstract

Abstract:

Sustainable development is the central theme of modern global development. With the arrival of the urban era, the vulnerability and instability of rural areas have significantly increased, and rural sustainable development faces serious challenges. To address these issues, the study took the Zaozhuang Innovation Demonstration Zone in China under the National Sustainable Development Agenda as a case, combined with economic, social and land use data during 2016-2020, and applied Granger causality test method to explore the theoretical and practical pathways of “innovation-driven rural sustainable development”. The results showed that rural sustainable development and economic sustainability displayed a trend of synergistic change, with “explosive” growth from 2018 to 2020. The social sustainability steadily increased from 2016 to 2020. Ecological and spatial sustainability continuously declined during the study period. Moreover, the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone displayed rapid growth during 2016-2020. Although the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone has rapidly improved, it has a weak driving effect on rural sustainable development and economic sustainability. There are two primary challenges that must be overcome to ensure the rural sustainable development of the Zaozhuang Innovation Demonstration Zone. The first challenge is the imbalance among the multi-dimensional relationships in the process of rural sustainable development, and the second challenge is the weakening of rural innovation capacity to drive rural sustainable development. To overcome these challenges, this study proposed a systematic pathway for rural sustainable development in the Zaozhuang Innovation Demonstration Zone from multi-dimensions, such as policy actions, technologies, projects, and institutional guarantees, and formed a universal and representative “Zaozhuang model”. This study expands the theoretical foundation of rural sustainable development and provides theoretical and practical support for innovation-driven rural sustainable development.

Key words: Rural sustainable development, Rural innovation capacity, Sustainable Development Goals (SDGs), Economic sustainability, Social sustainability, Ecological sustainability, Zaozhuang Innovation Demonstration Zone

LIU Binsheng, ZHANG Xiaohui, TIAN Junfeng, CAO Ruimin, SUN Xinzhang, XUE Bin. Rural sustainable development: A case study of the Zaozhuang Innovation Demonstration Zone in China[J]. Regional Sustainability, 2023, 4(4): 390-404.

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References 49

[1]	Cabello-Manrique, D., Lorente, J.A., Padial-Ruz, R., et al., 2022. Play badminton forever: A systematic review of health benefits. Int. J. Environ. Res. Public Health. 19(15), 9077, doi: 10.3390/ijerph19159077.
[2]	Castro-Arce, K., Vanclay, F., 2020. Transformative social innovation for sustainable rural development: An analytical framework to assist community-based initiatives. J. Rural Stud. 74, 45-54. doi: 10.1016/j.jrurstud.2019.11.010
[3]	Chaudhary, A., Gustafson, D., Mathys, A., 2018. Multi-indicator sustainability assessment of global food systems. Nat. Commun. 9, 848, doi: 10.1038/s41467-018-03308-7. pmid: 29487286
[4]	Che, B.Q., Zhu, C.G., Qiu, F.D., 2020. Spatial integration pattern of urban and rural areas in Huaihai Economic Zone and its formation mechanism. Journal of Natural Resources. 35(8), 1897-1907. (in Chinese) doi: 10.31497/zrzyxb.20200811
[5]	Chen, Q., Chen, L.N., Song, J.H., 2015. Research on the construction of comprehensive evaluation index system of Tianjin Rural Innovation Ability. Tianjin Agricultural Sciences. 21(4), 41-45. (in Chinese)
[6]	Chen, R.S., Zhao, Z.Q., Xu, D., et al., 2021. Progress of research on sustainable development index for cities and urban agglomerations. Progress in Geography. 40, 61-72. (in Chinese) doi: 10.18306/dlkxjz.2021.01.006
[7]	Davardoust, S., Karahan, F., 2021. Evaluation of sustainable rural tourism. The case of Uzundere District, Erzurum, Turkey. Sustainability. 13(18), 10218, doi: 10.3390/su131810218.
[8]	De Olde, E.M., Oudshoorn, F.W., Sørensen, C.A.G., et al., 2016. Assessing sustainability at farm-level: Lessons learned from a comparison of tools in practice. Ecol. Indic. 66, 391-404. doi: 10.1016/j.ecolind.2016.01.047
[9]	Du, B., Wang, Y., He, J.X., et al., 2021. Spatio-temporal characteristics and obstacle factors of the urban-rural integration of China’s shrinking cities in the context of sustainable development. Sustainability. 13(8), 4203, doi: 10.3390/su13084203.
[10]	Esparcia, J., 2014. Innovation and networks in rural areas. An analysis from European innovative projects. J. Rural Stud. 34, 1-14. doi: 10.1016/j.jrurstud.2013.12.004
[11]	Gardner, T.A., Joutz, F.L., 1996. Economic growth, energy prices and technological innovation. South. Econ. J. 62(3), 653-666. doi: 10.2307/1060885
[12]	Garibaldi, L.A., Gemmill-Herren, B., D’Annolfo, R., et al, 2017. Farming approaches for greater biodiversity, livelihoods, and food security. Trends Ecol. Evol. 32(1), 68-80. doi: S0169-5347(16)30176-8 pmid: 27793463
[13]	He, Y.H., Wu, J.G., Zhou, G.H., 2020. Discussion on rural sustainability and rural sustainability science. Acta Geographica Sinica. 75(4), 736-752. (in Chinese) doi: 10.11821/dlxb202004006
[14]	Hu, G., Qin, S.Y., 2012. Com-parative research of total- factor energy efficiency in BRICS: Based on DEA and Tobit models. Resources Science. 34(3), 533-540. (in Chinese)
[15]	Hu, S.W., Yang, Y., Zheng, H., et al, 2022. A framework for assessing sustainable agriculture and rural development: A case study of the Beijing-Tianjin-Hebei region, China. Environ. Impact Assess. Rev. 97, 106861, doi: 10.1016/j.eiar.2022.106861.
[16]	Ji, Z.X., Xu, Y.Q., Sun, M.X., et al, 2022. Spatiotemporal characteristics and dynamic mechanism of rural settlements based on typical transects: A case study of Zhangjiakou City, China. Habitat Int. 123, 102545, doi: 10.1016/j.habitatint.2022.102545.
[17]	Jiang, H.N., Zhang, J., Li, Y.W., et al., 2022. Analysis of the causal correlation mechanism between returned talents and economic scale in China. Think Tank: Theory & Practice. 7(2), 165-172. (in Chinese)
[18]	Jiao, B.B., Zhang, Z.H., Liu, H.M., et al., 2020. Evaluation of rural innovation capacity in less developed areas under the rural revitalization strategy: An example of 86 county-level administrative units in Gansu Province. Econ. Geogr. 40(1), 132-139. (in Chinese)
[19]	Khoury, C.K., Bjorkman, A.D., Dempewolf, H., et al., 2014. Increasing homogeneity in global food supplies and the implications for food security. Proc. Natl. Acad. Sci. U. S. A. 111(11), 4001-4006.
[20]	Kitchen, L., Marsden, T., 2009. Creating sustainable Rural Development through stimulating the eco-economy: Beyond the eco-economic paradox? Sociol. Rural. 49(3), 273-294. doi: 10.1111/soru.2009.49.issue-3
[21]	Klopp, J.M., Petretta, D.L., 2017. The urban sustainable development goal: Indicators, complexity and the politics of measuring cities. Cities. 63, 92-97. doi: 10.1016/j.cities.2016.12.019
[22]	Li, J.T., Liu, Y.S., Yang, Y.Y., et al., 2021. County-rural revitalization spatial differences and model optimization in Miyun District of Beijing-Tianjin-Hebei region. J. Rural Stud. 86, 724-734. doi: 10.1016/j.jrurstud.2019.10.012
[23]	Lin, S.J., Hou, L.D., 2023. SDGs-oriented evaluation of the sustainability of rural human settlement environment in Zhejiang, China. Heliyon. 9(2), e13492, doi: 10.1016/j.heliyon.2023.e13492.
[24]	Liu, Y.S., 2018. Research on the urban-rural integration and rural revitalization in the new era in China. Acta Geographica Sinica. 73(4), 637-650. (in Chinese) doi: 10.11821/dlxb201804004
[25]	Long, H.L., Zou, J., Pykett, J., et al., 2011. Analysis of rural transformation development in China since the turn of the new millennium. Appl. Geogr. 31(3), 1094-1105. doi: 10.1016/j.apgeog.2011.02.006
[26]	Lu, M.Q., Wei, L.Y., Ge, D.Z., et al., 2020. Spatial optimization of rural settlements based on the perspective of appropriateness-domination: A case of Xinyi City. Habitat Int. 98, 102148, doi: 10.1016/j.habitatint.2020.102148.
[27]	Markey, S., Halseth, G., Manson, D., 2008. Challenging the inevitability of rural decline: Advancing the policy of place in northern British Columbia. J. Rural Stud. 24(4), 409-421. doi: 10.1016/j.jrurstud.2008.03.012
[28]	Markose, S.M., 2004. Novelty in complex adaptive systems (CAS) dynamics: A computational theory of actor innovation. Physica A. 344(1), 41-49. doi: 10.1016/j.physa.2004.06.085
[29]	Masot, A.N., Gascón, J.L.G., 2021. Sustainable rural development: Strategies, good practices and opportunities. Land. 10(4), 366, doi: 10.3390/land10040366.
[30]	Niu, W.Y., 2008. Basic perceptions of sustainable development theory. Progress in Geography. 27, 3-8. (in Chinese)
[31]	Nourozi, M., Hayati, D., 2018. Sustainability of livelihoods among farmers community in Kermanshah Province, Iran: A comparison of farmers’ attitude based on their characteristics. J. Agric. Sci. Technol. 20(6), 1099-1113.
[32]	Qin, Y., He, J.W., Wei, M., et al., 2022. Challenges threatening agricultural sustainability in Central Asia: Status and prospects. Int. J. Environ. Res. Public Health. 19(10), 6200, doi: 10.3390/ijerph19106200.
[33]	Rover, O.J., de Gennaro, B.C., Roselli, L., 2017. Social innovation and sustainable rural development: The case of a Brazilian agroecology network. Sustainability. 9, 3, doi: 10.3390/su9010003.
[34]	Shandong Provincial People’s Government, 2022. Construction Plan for the National Sustainable Development Agenda Innovation Demonstration Zone in Zaozhuang City, Shandong Province. [2023-04-10]. http://www.shandong.gov.cn/art/2023/1/28/art_100623_42088.html.
[35]	Sun, X., Lu, Z.M., Li, F., et al., 2018. Analyzing spatio-temporal changes and trade-offs to support the supply of multiple ecosystem services in Beijing, China. Ecol. Indic. 94, 117-129. doi: 10.1016/j.ecolind.2018.06.049
[36]	Tittonell, P., 2014. Ecological intensification of agriculture—Sustainable by nature. Curr. Opin. Environ. Sustain. 8, 53-61. doi: 10.1016/j.cosust.2014.08.006
[37]	Tu, S.S., Long, H.L., 2017. Rural restructuring in China: Theory, approaches and research prospects. J. Geogr. Sci. 27, 1169-1184. doi: 10.1007/s11442-017-1429-x
[38]	Wang, Q.S., Ma, Z., Ma, Q., et al, 2019. Comprehensive evaluation and optimization of agricultural system: An emergy approach. Ecol. Indic. 107, 105650, doi: 10.1016/j.ecolind.2019.105650.
[39]	Wang, R.Y., Tan, R., 2018. Rural renewal of China in the context of rural-urban integration: Governance fit and performance differences. Sustainability. 10(2), 393, doi: 10.3390/su10020393.
[40]	Wang, T., Zhang, J.M., Yu, X., et al., 2021. Sustainable development pathway of resource-Based cities: A case study of Taiyuan Innovation Demonstration Zone for National Sustainable Development Agenda. China Population, Resources and Environment. 31(3), 24-32. (in Chinese)
[41]	Weng, G.M., Pan, Y., Li, J.P., 2021. Study on the influencing factors and acting path of the sustainable development of rural tourism based on EEAM-ISM model. Sustainability. 13(10), 5682, doi: 10.3390/su13105682.
[42]	Wu, J., Zhuo, S.H., Wu, Z.F., 2017. National innovation system, social entrepreneurship, and rural economic growth in China. Technol. Forecast. Soc. Chang. 121, 238-250. doi: 10.1016/j.techfore.2016.10.014
[43]	Xu, J., Yang, M.S., Lu, Z.L., et al., 2021. Quality analysis on spatial planning pattern of rural area in Southern Shaanxi, China. Sustainability. 13(22), 12668, doi: 10.3390/su132212668.
[44]	Ye, C., Pan, J.W., Liu, Z.M., 2022. The historical logics and geographical patterns of rural-urban governance in China. J. Geogr. Sci. 32(7), 1225-1240. doi: 10.1007/s11442-022-1994-5
[45]	Yin, J.F., Shi, P.J., Zhang, W.P., 2022a. Evaluation and spatial pattern of agricultural and rural innovation development in counties in the context of rural revitalization: Gansu Province as an example. Journal of Natural Resources. 37(2), 291-306. (in Chinese) doi: 10.31497/zrzyxb.20220202
[46]	Yin, X.M., Chen, J., Zhang, Y.Y., 2020. Study on the path and mechanism of rural innovation system to promote rural revitalization. Tianjin Social Sciences. 3, 103-109. (in Chinese)
[47]	Yin, X.M., Chen, J., Li, J.Z., 2022b. Rural innovation system: Revitalize the countryside for a sustainable development. J. Rural Stud. 93, 471-478. doi: 10.1016/j.jrurstud.2019.10.014
[48]	Zaozhuang City Bureau of Statistics, 2017-2021. Zaozhuang Statistical Yearbook. Beijing: China Statistics Press (in Chinese).
[49]	Zhang, B.X., Ren, Z., 2020. The path of rural revitalization through innovation-driven endogenous development. Journal of Nantong University (Social Sciences Edition). 36(1), 89-96. (in Chinese)

Target layer	Dimension layer	Index layer	Index description	Property	Weight
Rural innovation capacity (X)	Innovation inputs (X₁)	Proportion of science and technology expenditure to public financial expenditure	Proportion of science and technology expenditure on total public financial expenditure	+	0.1611
		Total power of agricultural machinery per unit of arable land area	Ratio of total power of agricultural machinery to arable land area	+	0.1611
		Number of patent applications per 10,000 people	Ratio of patent applications to total population	+	0.1630
	Innovation support environment (X₂)	Number of municipal-level and above agricultural cooperative demonstration societies	-	+	0.1770
		Number of municipal-level and above rural agriculture and rural tourism demonstration units	-	+	0.1637
		Number of new innovation research and development (R&D) platforms in rural areas	-	+	0.1740

Variable	Augmented Dickey-Fuller (ADF) test value	P-value	Conclusion	First-order difference	Conclusion
Y	-0.4927	0.9705	Unstable	-10.9061	Stable
Y₁	-0.9516	0.7416	Unstable	-10.0355	Stable
Y₂	-2.6372	0.1052	Unstable	-5.6772	Stable
Y₃	-1.0558	0.2507	Unstable	-5.8234	Stable
Y₄	-1.4566	0.5303	Unstable	-3.6239	Stable
X	-2.4651	0.3365	Unstable	-7.2411	Stable
X₁	-2.6096	0.2815	Unstable	-5.7581	Stable
X₂	-0.4325	0.9772	Unstable	-12.4246	Stable

Original hypothesis	Number of lag periods	F-value	P-value	Conclusion
X is not the Granger reason for Y	1	4.1552	0.0719^*	Reject the original hypothesis	X is the reason for Y
Y is not the Granger reason for X	1	1.1183	0.3178	Accept the original hypothesis	Not the reason
X is not the Granger reason for Y₁	1	3.2894	0.0846^*	Reject the original hypothesis	X is the reason for Y₁
Y₁ is not the Granger reason for X	1	0.1540	0.7039	Accept the original hypothesis	Not the reason
X is not the Granger reason for Y₂	1	0.6865	0.4288	Accept the original hypothesis	Not the reason
Y₂ is not the Granger reason for X	1	0.2696	0.6161	Accept the original hypothesis	Not the reason
X is not the Granger reason for Y₃	1	0.0468	0.8334	Accept the original hypothesis	Not the reason
Y₃ is not the Granger reason for X	1	1.0800	0.3258	Accept the original hypothesis	Not the reason
X is not the Granger reason for Y₄	1	1.8317	0.2089	Accept the original hypothesis	Not the reason
Y₄ is not the Granger reason for X	1	1.6429	0.2320	Accept the original hypothesis	Not the reason

Original hypothesis	Number of lag periods	F-value	P-value	Conclusion
X₁ is not the Granger reason for Y	1	3.2721	0.0960^*	Reject the original hypothesis	X₁ is the reason for Y
Y is not the Granger reason for X₁	1	1.0750	0.3269	Accept the original hypothesis	Not the reason
X₁ is not the Granger reason for Y₁	1	0.7321	0.4144	Accept the original hypothesis	Not the reason
Y₁ is not the Granger reason for X₁	1	0.0060	0.9398	Accept the original hypothesis	Not the reason
X₁ is not the Granger reason forY₂	1	0.6865	0.4288	Accept the original hypothesis	Not the reason
Y₂ is not the Granger reason for X₁	1	0.5967	0.4596	Accept the original hypothesis	Not the reason
X₁ is not the Granger reason for Y₃	1	0.2741	0.6132	Accept the original hypothesis	Not the reason
Y₃ is not the Granger reason for X₁	1	1.2852	0.2862	Accept the original hypothesis	Not the reason
X₁ is not the Granger reason for Y₄	1	0.7982	0.3949	Accept the original hypothesis	Not the reason
Y₄ is not the Granger reason for X₁	1	1.1091	0.3197	Accept the original hypothesis	Not the reason

Original hypothesis	Number of lag periods	F-value	P-value	Conclusion
X₂ is not the Granger reason for Y	1	4.0155	0.0761^*	Reject the original hypothesis	X₂ is the reason for Y
Y is not the Granger reason for X₂	1	0.0453	0.8362	Accept the original hypothesis	Not the reason
X₂ is not the Granger reason for Y₁	1	21.0661	0.0013^***	Reject the original hypothesis	X₂ is the reason for Y₁
Y₁ is not the Granger reason for X₂	1	0.9770	0.3488	Accept the original hypothesis	Not the reason
X₂ is not the Granger reason for Y₂	1	0.0246	0.8788	Accept the original hypothesis	Not the reason
Y₂ is not the Granger reason for X₂	1	0.2837	0.6071	Accept the original hypothesis	Not the reason
X₂ is not the Granger reason for Y₃	1	2.0280	0.1882	Accept the original hypothesis	Not the reason
Y₃ is not the Granger reason for X₂	1	0.2474	0.6308	Accept the original hypothesis	Not the reason
X₂ is not the Granger reason for Y₄	1	4.3084	0.0677^*	Reject the original hypothesis	X₂ is the reason for Y₄
Y₄ is not the Granger reason for X₂	1	0.4836	0.5044	Accept the original hypothesis	Not the reason