The Impact of Forestry Industry Integration on the Forest Farmers' Income in China: A Theoretical and Empirical Study
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Keywords

Forestry industry; integrated development; income of forest farmers; heterogeneity testing; anal-ysis of spatial effect

How to Cite

Chen, N., Jin, M., Wang, S., Zhang, X., Sun, H., & Cao, F. (2024). The Impact of Forestry Industry Integration on the Forest Farmers’ Income in China: A Theoretical and Empirical Study. Agricultural & Rural Studies, 2(1), 0004. https://doi.org/10.59978/ar02010004

Abstract

Transforming the forestry development model and promoting the development of forestry industry integration (FII) has become an important way for forestry to break through development bottlenecks and realize the increase of farmers’ income. In this study, we use the inter provincial data from 2005 to 2019 to test the effect of FII on forest farmers’ income with the help of fixed effect model, quantile regression model and spatial panel model. Results showed that, firstly, the level of FII is on the rise, with most provinces in the middle or high integration stage. Among them, the Northeast region is at the highest level. Secondly, there is a positive spatial correlation in the forest farmers’ income, which is gradually increasing. The income of forest farmers in coastal provinces is relatively high, forming an HH cluster. Thirdly, the FII has significantly im-proved the income level of forest farmers, and there is a significant spatial spillover effect. Finally, the group heterogeneity is reflected in the increasing income effect of FII with the improvement of the income level of forest farmers. Regional heterogeneity shows that the FII in Northeastern, Eastern, and Central regions significantly promotes the increase of forest farmers’ income. Efforts to boost integrated forestry industry development will broaden the income channels of forest farmers by leveraging high productivity of the agglomeration effects, diffusion effect and demonstration effect, and promoting integrated forestry industry development with adjacent regions. This work may help to understand this relationship and to creating effective regional forestry development income-enhancing policies.

https://doi.org/10.59978/ar02010004
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References

Abdulai, A. N., & Abdulai, A. (2016). Allocative and scale efficiency among maize farmers in Zambia: A zero efficiency stochastic frontier approach. Applied Economics, 48(55), 5364–5378. https://doi.org/10.1080/00036846.2016.1176120

Abhilash, P. C. (2021). Restoring the unrestored: Strategies for restoring global land during the UN decade on ecosystem restoration. Land, 10(2), 201. https://doi.org/10.3390/land10020201

Adriana, B., Jorge, A., Frederick, C., Gustavo, F., & Valentin, P. (2019). Diverse strategies for integration of forestry and livestock production. Agroforestry Systems, 93, 1–12. https://doi.org/10.1007/s10457-017-0092-7

Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: A review and recommendations. Leadership Quarterly, 21(6), 1086–1120. https://doi.org/10.1016/j.leaqua.2010.10.010

Bai, L. X. (2023). Research on the Impact of Integration of Primary, Secondary and Tertiary Industries on Farmers' Income in Rural China. [Master thesis, Northeast Agricultural University].

Bai, Q., & Zheng, J. (2018). Analysis of the impact of natural forest protection project forestry investment on the development of forestry

industry in China from the perspective of ecological civilization construction. Ekoloji, 27(106), 1007–1012.

Bally, N. (2005). Deriving managerial implications from technological convergence along the innovation process: A case study on the telecommunications industry. Swiss Federal Institute of Technology, Zurich.

Cao, X. Q. (2015). Study on “integration of informatization and industrialization” characteristics and its interaction relationship with industrial design. International Journal of Technology Management, (8),33–37.

Carillo, F., Caracciolo, F., & Cembalo, L. (2017). Do durum wheat producers benefit of vertical coordination? Agricultural and Food Economics, 5(1), 19. https://doi.org/10.1186/s40100-017-0088-7

Carlos, B., Alejandra, E., Roberto, J. R., & Rodrigo, A. (2020). Are forest plantation subsidies affecting land use change and off–farm income? A farm–level analysis of Chilean small forest landowners. Land Use Policy, 91, 104308. https://doi.org/10.1016/j.landusepol.2019.104308

Charlie, M., Shackleton, S. E., Shackleton, E. B., & Neil, B. (2007). The importance of dry woodlands and forests in rural livelihoods and

poverty alleviation in South Africa. Forest Policy and Economics, 9(5), 558–577. https://doi.org/10.1016/j.forpol.2006.03.004

Chen, J. F. (2010). The mechanism analysis of social capital in industrial clusters. 2010 ETP//IITA Conference on System Science and

Simulation in Engineering, 69–72.

Chen, N., Qin, F., Zhai, Y. X., Cao, H. P., Zhang, R., & Cao, F. P. (2020). Evaluation of coordinated development of forestry management

efficiency and forest ecological security: A spatiotemporal empirical study based on China’s provinces. Journal of Cleaner Production, 260, 121042. https://doi.org/10.1016/j.jclepro.2020.121042

Chen, S., &Zhang, X. M. (2019). Optimization of regional forestry industrial structure and economic benefit based on deviation share and

multi–level fuzzy comprehensive evaluation. Journal of Intelligent & Fuzzy Systems, 37(1), 145–157. https://doi.org/10.3233/JIFS-179073

Chen, Y. D., & An, X. (2018). Support effect of Chinese forest seedlings industry on revenue growth of farmers: Based on panel data of eastern, central, and western regions of China. Journal of Beijing Forestry University (Social Sciences), 17(4), 56–62. (In Chinese)

Chesbrough, H. (2007). Business model innovation: It’s not just about technology anymore. Strategy & Leadership, 35(6), 12–17. https://doi.org/10.1108/10878570710833714

Cubbage, F., Harou, P., & Sills, E. (2007). Policy instruments to enhance multi-functional forest management. Forest Policy and Economics, 9(7), 833–851. https://doi.org/10.1016/j.forpol.2006.03.010

Das, V. K., & Ganesh-Kumar, A. (2018). Farm size, livelihood diversification and farmer’s income in India. Decision, 45(2), 185–201. https://doi.org/10.1007/s40622-018-0177-9

Deichmann, U., Goyal, A., & Mishra, D. (2016). Will digital technologies transform agriculture in developing countries? The Journal of the International Association of Agricultural Economics, 47(Sup. 1), 21–33. https://doi.org/10.1111/agec.12300

Dong, F., Li, Y. F., Zhang, X. Y., Zhu, J., & Zheng, L. (2021). How does industrial convergence affect the energy efficiency of manufacturing in newly industrialized countries? Fresh evidence from China. Journal of Cleaner Production, 316, 128316. https://doi.org/10.1016/j.jclepro.2021.128316

Elhorst, J. P. (2003). Specification and estimation of spatial panel data models. International Regional Science Review, 26(3), 244–268. https://doi.org/10.1177/0160017603253791

FAO. (2006). Global forest resources assessment 2005.

Fei, X. M., Shen, Y. Q., & Zhao, F. M. (2021). Impact of farmers’ bamboo industry integration participation and human capital on their income. Journal of Zhejiang A&F University, 38(6), 1261–1269.

Feng, X., & Dai, Y. W. (2019). An innovative type of forest insurance in China based on the robust approach. Forest Policy and Economics, 104, 23–32. https://doi.org/10.1016/j.forpol.2019.03.012

Fu, W. Q., & Zhang, R. W. (2022). Can digitalization levels affect agricultural total factor productivity? Evidence from China. Frontiers in

Sustainable Food Systems, 6, 860780. https://doi.org/10.3389/fsufs.2022.860780

Gambardella, A., & Torrisi, S. (1998). Does technological convergence imply convergence in markets? Evidence from the electronics industry. Research Policy, 27(5), 445–463. https://doi.org/10.1016/S0048-7333(98)00062-6

Getachew, M., Espen, S., & Pål, V. (2007). Economic dependence on forest resources: A case from Dendi District, Ethiopia. Forest Policy and Economics, 9(8), 916–927. https://doi.org/10.1016/j.forpol.2006.08.001

Gullette, G. S. (2014). Rural–urban hierarchies, status boundaries, and labour mobilities in Thailand. Journal of Ethnic & Migration Studies, 40(8), 1254–1274. https://doi.org/10.1080/1369183X.2013.836959

Hari, K., AbrarJuhar, M., & Makoto, I. (2017). Impact of community forest program in protection forest on livelihood outcomes: A case study of Lampung Province, Indonesia. Journal of Sustainable Forestry, 36(3), 250–263. https://doi.org/10.1080/10549811.2017.1296774

Hou, F. M., Wu, J., Li, H. X., Yang, Y. L., Luo, X. J., & Shen, Y. (2017). Analysis on the development of Chinese under–forest economy and its effect on the increase of farmers’ income. Journal of Discrete Mathematical Sciences and Cryptography, 20(6–7), 1263–1268. https://doi.org/10.1080/09720529.2017.1392432

Jin, M. M., Chen, N., Sun, H. S., & Cao, F. P. (2023a). Characteristics of spatial–temporal differences and measurement of the level of forestry industry integration in China. Sustainability, 15(11), 8855. https://doi.org/10.3390/su15118855

Jin, M. M., Chen, N., Wang S. K., & Cao, F. P. (2023b). Does forestry industry integration promote total factor productivity of forestry industry? Evidence from China. Journal of Cleaner Production, 415, 137767. https://doi.org/10.1016/j.jclepro.2023.137767

Kendra, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-35. https://doi.org/10.2307/1913643

Lemola, T. (2002). Convergence of national science and technology policies: The case of Finland. Research Policy, 31(8–9), 1481–1490. https://doi.org/10.1016/S0048-7333(02)00077-X

Li, B. Z. (2007). Industry melting: The path choice of the forestry industrialization in Transformation. Forestry Economics, (11), 59–62. (In Chinese)

Li, L., Liu, T., Xu, S. B., & Tian, Z. W. (2021a). Evaluation on sustainable development of forest tourism in Heilongjiang Province, China.

Environment, Development and Sustainability, 23, 13382–13402. https://doi.org/10.1007/s10668-020-01217-8

Li, W. J., Wang, Y., Xie, S. Y., & Cheng, X. (2021b). Coupling coordination analysis and spatiotemporal heterogeneity between urbanization and ecosystem health in Chongqing municipality, China. Science of the Total Environment, 791, 148311. https://doi.org/10.1016/j.scitotenv.2021.148311

Li, Z. H., & Wang, X. D. (2019). Development strategies of leisure agriculture and rural tourism of Henan Province based on industry

convergence. Ecological Economy, 15(4), 289–295.

Liao, C. N. (2015). Game theory applications in socially responsible operations and operations–marketing interface. UC Berkeley, 2015. https://escholarship.org/uc/item/8qm007mz

Liao, W. M., & Zhang, G. L. (2014). Effects of China’s forestry marketization on farmers’ revenue from 2002 to 2011. Forestry Economics, 36(9), 93–97. (In Chinese)

Liao, Z. J., & Guo, X. M. (2015). Logic and direction of Chinese agricultural operation organization system evolution: Within the framework of industry chain integration. Chinese Rural Economy, (2), 13–21.

Lin, B. Q., & Chen, Y. (2020). Transportation infrastructure and efficient energy services: A perspective of China’s manufacturing industry. Energy Economics, 89, 104809. https://doi.org/10.1016/j.eneco.2020.104809

Liu, C., Lyu, J. Z., & Yin, R. S. (2009). An estimation of the effects of China’s forestry programs on farmers’ income. In An Integrated

Assessment of China’s Ecological Restoration Programs. Springer-Verlag, 201–218. https://doi.org/10.1007/978-90-481-2655-2_12

Lu, C., Qiao, J. Y., & Chang, J. L. (2017). Herfindahl–Hirschman index based performance analysis on the convergence development. Cluster Computing, 20, 121–129. https://doi.org/10.1007/s10586-017-0737-3

Lu, S. S., Chen, N., Zhong, X. Q., Qin, F., & Guan, X.L. (2018). Factors affecting forestland production efficiency in collective forest areas: A case study of 703 forestland plots and 290 rural households in Liaoning, China. Journal of Cleaner Production, 204, 573–585. https://doi.org/10.1016/j.jclepro.2018.09.013

Lu, S. S., Sun, H. S., Zhou, Y., Qin, F., & Guan, X. L. (2020). Examining the impact of forestry policy on poor and non–poor farmers’ income and production input in collective forest areas in China. Journal of Cleaner Production, 276, 123784. https://doi.org/10.1016/j.jclepro.2020.123784

Midgley, S. J., Stevens, P. R., & Arnold, R. J. (2017). Hidden assets: Asia’s smallholder wood resources and their contribution to supply chains of commercial wood. Australian Forestry, 80(1), 10–25. https://doi.org/10.1080/00049158.2017.1280750

Muriithi, E.W. (2011). Benefits of market information access through mobile telephone among small-scale farmers: A case study of NAFIS application in Kirinyaga County. University of Nairobi Kenya, 2011. http://erepository.uonbi.ac.ke:8080/handle/123456789/3728

Nambiar, E. K. S. (2021). Strengthening Vietnam’s forestry sectors and rural development: Higher productivity, value, and access to fairer

markets are needed to support small forest growers. Trees, Forests and People. 3, 100052. https://doi.org/10.1016/j.tfp.2020.100052

Oscar, A. M., & William, F. (2021). Agricultural and forestry land and labor use under long-term climate change in Chile. Atmosphere, 12(3), 305. https://doi.org/10.3390/atmos12030305

Patricia, U., Carsten, S.H., & Finn, H. (2012). Forest income and dependency in lowland Bolivia. Environment, Development and Sustainability, 14, 3–23. https://doi.org/10.1007/s10668-011-9306-8

Pyi, S. A., Yahia, O. A., Jiirgen, P., & Ronny, P. (2015). Distribution of forest income among rural households: A case study from Natma Taung national park, Myanmar. Forests, Trees and Livelihoods, 24(3), 190–201. https://doi.org/10.1080/14728028.2014.976597

Qu, R., Rhee, Z., Bae, S. J., & Lee, S. H. (2022). Analysis of industrial diversification level of economic development in rural areas using

Herfindahl index and Two–Step clustering. Sustainability, 14, 6733. https://doi.org/10.3390/su14116733

Reddy, S. R. C., & Chakravarty, S. P. (1999). Forest dependence and income distribution in a subsistence economy: Evidence from India. World Development, 27(7), 1141–1149. https://doi.org/10.1016/S0305-750X(99)00057-1

Roberto, P., Alejandro, L. F., & Jorge, W. V. A. (2015). Forest use and agriculture in Ucayali, Peru: Livelihood strategies, poverty and wealth in an Amazon frontier. Forest Policy and Economics, 51, 47–56. https://doi.org/10.1016/j.forpol.2014.12.001

Rosenberg, N. (1963). Technological change in the machine tool industry: 1840–1910. The Journal of Economic History, 23(4), 414–443. https://doi.org/10.1017/S0022050700109155

Sears, R. R., Christine, P., & Miguel, P. V. (2007). Amazon forestry transformed: Integrating knowledge for smallholder timber management in eastern Brazil. Human Ecology, 35, 697–707. https://doi.org/10.1007/s10745-006-9109-y

Sunderlin, W. D., Arild, A., & Sven, W. (2003). Forests and poverty alleviation. State of the World’s Forests, 61–73.

Tobler, W. (2004). On the first law of geography: A reply. Annals of the Association of American Geographers, 94(2), 304–310. https://doi.org/10.1111/j.1467-8306.2004.09402009.x

Vedeld, P., Angelsen, A., Bojö, J., Sjaastad, E., & Berg, G.K. (2007). Forest environmental incomes and the rural poor. Forest Policy and

Economics, 9(7), 869–879. https://doi.org/10.1016/j.forpol.2006.05.008

Wang, G. Y., Innes, J. L., Lei, J. F., Dai, S. Y., & Wu, S. W. (2007). China’s forestry reforms. Science, 318(5856), 1556–1557. https://doi.org/ 10.1126/science.1147247

Wei, J., Xiao, H., Liu, C., Huang, X. T., & Zhang, D. H. (2022). The impact of collective forestland tenure reform on rural household income: The background of rural households’ divergence. Forests, 13(9), 1340. https://doi.org/10.3390/f13091340

World Bank. (2000). Towards a revised forest strategy for the world bank group.

Xiong, L. C., Wang, F. T., Cheng, B. D., & Yu, C. (2018). Identifying factors influencing the forestry production efficiency in Northwest China. Resources, Conservation and Recycling, (130), 12–19. https://doi.org/10.1016/j.resconrec.2017.11.009

Yang, J., Dai, G. H., & Wang, S. R. (2015). China’s national monitoring program on ecological functions of forests: An analysis of the protocol and initial results, Forests. 6(3), 809–826. https://doi.org/10.3390/f6030809

Yao, Y., Qin, S. Y., & Gao, Y. F. (2022). Research on the impact of digital literacy on the overall income of rural households: A case study of 410 questionnaires in Pucheng County, Shaanxi Province. Highlights in Business, Economics and Management, 1, 285–292. https://doi.org/10.54097/hbem.v1i.2589

York, R. (2018). Control variables and causal inference: A question of balance. International Journal of Social Research Methodology, 21(6), 675–684. https://doi.org/10.1080/13645579.2018.1468730

Zhang, Q., Wang, G. Y., Mi, F., Zhang, X. C., Xu, L. Z., Zhang, Y. F., & Jiang, X. L. (2019). Evaluation and scenario simulation for forest

ecological security in China. Journal of Forestry Research, 30(5), 1651–1666. https://doi.org/10.1007/s11676-018-0773-8

Ziyu, H. U. (2022). Integration and development of China’s characteristic agricultural industry against the backdrop of rural revitalization

strategy. Asian Agricultural Research, 14(2), 23–25. https://doi.org/10.22004/ag.econ.329658

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