Digital economy empowering low-carbon collaborative governance and ecological restoration in forestry

Yuhan Sun , Qianwen Gong

Journal of Forestry Research ›› 2026, Vol. 37 ›› Issue (1) : 40

PDF
Journal of Forestry Research ›› 2026, Vol. 37 ›› Issue (1) :40 DOI: 10.1007/s11676-026-01986-4
Perspective
research-article

Digital economy empowering low-carbon collaborative governance and ecological restoration in forestry

Author information +
History +
PDF

Abstract

Low-carbon synergistic governance in the forestry industry constitutes a critical component of agricultural engineering. It holds substantial practical significance for China in addressing the strategic challenges posed by the “dual-carbon” goals and fostering high-quality regional economic development. From the perspective of the digital economy and drawing on Germany’s experience, this paper investigates the logical framework, practical challenges, and implementation mechanisms through which the digital economy can synergistically enhance low-carbon development in forestry. The findings reveal that the upstream enabling pathway is realized via a forest information monitoring mechanism, a resource analysis and utilization management mechanism, and an ecological restoration management mechanism, all of which are underpinned by the operation of intelligent equipment and natural resource regeneration. The midstream pathway primarily focuses on a raw material management mechanism for forestry inputs during processing and a supply-chain synergy mechanism that facilitates cross-sectoral coordination. The downstream pathway centers on a forest product marketing mechanism and a consumer-oriented service management mechanism. In-depth analysis indicates that, under current conditions, the digital economy’s enablement of forestry for low-carbon objectives still faces governance challenges. These include data security risks for target entities, “market failure” in the digital transformation of enabling actors, and insufficient regulatory policies within the enabling framework, necessitating further targeted policy recommendations.

Keywords

Digital economy / Forestry industry / Low-carbon transition / Industrial synergy

Cite this article

Download citation ▾
Yuhan Sun, Qianwen Gong. Digital economy empowering low-carbon collaborative governance and ecological restoration in forestry. Journal of Forestry Research, 2026, 37(1): 40 DOI:10.1007/s11676-026-01986-4

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Andrae ASG, Edler T. On global electricity usage of communication technology: trends to 2030. Challenges, 2015, 6(1): 117-157

[2]

Awasthi MK, Yan BH, Sar T, Gómez-García R, Ren LH, Sharma P, Binod P, Sindhu R, Kumar V, Kumar D, Mohamed BA, Zhang ZQ, Taherzadeh MJ. Organic waste recycling for carbon smart circular bioeconomy and sustainable development: a review. Bioresour Technol, 2022, 360 127620

[3]

Black K, McCullagh A, Redmond J, Blujdea VNB, Pilli R. Evaluation of climate change mitigation strategies for Irish forests using the CBM-CFS3 model. Carbon Balance Manag, 2025, 20(1 10

[4]

Bulkan G, Ferreira JA, Taherzadeh MJ. Retrofitting analysis of a biorefinery: integration of 1st and 2nd generation ethanol through organosolv pretreatment of oat husks and fungal cultivation. Bioresour Technol Rep, 2021, 15 100762

[5]

Cao Y, Zhai X. An empirical study on the impact of national financial support on the total productivity of forestry industry. Stat Decis, 2020, 36(07): 118-122

[6]

Chen T, Zhou SL. The impact of digital economy on the upgrading of manufacturing structure. PLoS ONE, 2024, 19(7 e0307184

[7]

Chen C, Ye F, Xiao H, Xie W, Liu B, Wang LQ. The digital economy, spatial spillovers and forestry green total factor productivity. J Clean Prod, 2023, 405 136890

[8]

Chen HT, Ma ZY, Xiao H, Li J, Chen WH. The impact of digital economy empowerment on green total factor productivity in forestry. Forests, 2023, 14(9): 1729

[9]

Chen J, Wang H, Hou J. The influence mechanism of industrial agglomeration on forestry green total factor productivity from the perspective of financial support. J Beijing for. Univ (Soc. Sci.), 2024, 23(0111-20

[10]

Dong BR, Zhang M, Li SJ, Xie LH, Xie BS, Chen LP. How digital intelligence integration boosts forestry ecological productivity: evidence from China. Forests, 2025, 16(8): 1343

[11]

Du C, Yang Z. Reference of German Industry 4. 0 strategy to the transformation and upgrading of China’s manufacturing industry. Res Econ Manag., 2015, 36(0782-87

[12]

Liu J (2025) On the Ownership of Carbon Sink Rights of Cultivated Land under the "Separation of Three Rights". Dissertation, Henan University of Economics and Law.

[13]

Feng L, Yang W, Wang Z. Digital economy and urban carbon emission intensity in China: spatio-temporal evolution and mechanisms. China Popul Resour Environ, 2023, 33(01): 150-160

[14]

Gao L. New quality productive forces, digital-real integration and green low-carbon circular economy development. Ecol Econ, 2025, 41(12): 53-60

[15]

Hu H, Wang M. Thoughts on incorporating forestry carbon sink rights into unified real estate registration. China Land, 2025, 7: 29-33(in Chinese)

[16]

Ismail M, Ahmad A, Nadeem M, Javed MA, Khan SH, Khawaish I, Sthanadar AA, Qari SH, Alghanem SM, Khan KA, Khan MF, Qamer S. Development of DNA barcodes for selected Acacia species by using rbcL and matKDNA markers. Saudi J Biol Sci, 2020, 27(12): 3735-3742

[17]

Jiao W, Fan C, Hu J, et al.. China’s low-carbon policy transition model for carbon neutrality: a policy network perspective. J Beijing Inst Technol (Soc Sci Ed), 2025, 27(6): 43-56(in Chinese)

[18]

Jin MM, Feng Y, Wang SK, Chen N, Cao FP. Can the development of the rural digital economy reduce agricultural carbon emissions? A spatiotemporal empirical study based on China’s provinces. Sci Total Environ, 2024, 939 173437

[19]

Li L, Chen W. Research on Germany’s carbon neutrality strategic policy system based on policy paradigm and its enlightenment to China. Sci Technol Manag Res, 2025, 45(11): 22-32

[20]

Li HQ, Li JD, Qin BB, Sun XS, Lin QN. Does digital economy keep enterprises out of green innovation trouble? Evidence from “double carbon” goal. Environ Sci Pollut Res, 2024, 31(37): 49855-49873

[21]

Li YH, You X, Fu JZ, Zhou WJ. Mechanisms and effects of the digital economy on agricultural modernization: a sustainable development perspective. J Environ Manag, 2025, 392 126790

[22]

Lin Y, Chen WH, Liu JC. Research on the temporal and spatial distribution and influencing factors of forestry output efficiency in China. Sustainability, 2021, 13(9): 4687

[23]

Liu Y, Zhang Y, Xie XQ, Mei SJ. Affording digital transformation: the role of industrial Internet platform in traditional manufacturing enterprises digital transformation. Heliyon, 2024, 10(7 e28772

[24]

Liu ZJ, Liu BJ, Luo H, Chen S. Digital economy and fiscal decentralization: drivers of green innovation in China. Heliyon, 2024, 10(13 e33870

[25]

Liu C, Miao H, Xiang X. Nirvana and rebirth path of industrial green transformation in resource exhausted cities synergistic effect of “efficient market” and “proactive government” under transfer payment policies. Resour Dev Mark, 2025, 41(101483-1492 in Chinese)

[26]

Liu Q (2020) Analysis of the Influence Mechanism of Transformation Behavior of State-Owned Forest Industry Enterprises in Heilongjiang after Comprehensive Logging Ban. Dissertation, Northeast Forestry University.

[27]

Luo YY, Chen YL, Tao CL, Yang C, Xiang FT, Xu C, Lin FL. The impact of the digital economy on supply chain security: evidence from China’s wooden furniture industry. Forests, 2024, 15(5 879

[28]

Lyu YW, Bai YY, Zhang JN. Digital transformation and enterprise low-carbon innovation: a new perspective from innovation motivation. J Environ Manage, 2024, 365 121663

[29]

Ma J. Empirical study on forestry industrial structure and forestry economic growth from the perspective of low-carbon economy - taking Fujian Province as an example. Papermak Equip Mater, 2022, 51(12): 151-153(in Chinese)

[30]

Ma XZ, Wu LY, Zhu YB, Wu J, Qin YC. Simulation of vegetation carbon sink of Arbor Forest and carbon mitigation of forestry bioenergy in China. Int J Environ Res Public Health, 2022, 19(20): 13507

[31]

Ma GY, Zhang SX, Zhang J. Rural digital economy, forest ecological product value, and farmers’ income: evidence from China. Forests, 2025, 16(71172

[32]

Meng Q, Meng JX, Cheng BD. Research on impact mechanisms of digital economy on high-quality development of forestry. Forests, 2025, 16(3408

[33]

Mo L, Chen S, Zhou L, Wan SW, Zhou YB, Liang YX. The digital economy promotes the coordinated development of the non-timber forest-based economy and the ecological environment: empirical evidence from China. Forests, 2025, 16(1 150

[34]

Peng T. Research on the impact mechanism and realization path of the transformation and upgrading of manufacturing industry empowered by the digital economy. Econ Res Guid, 2023, 531(0145-47

[35]

Qu S, Shi D, Yang D (2022) Carbon emissions of China’s digital economy: calculations and trend outlook. Chin Popul Resour Environ 32(09):11–21. https://doi.org/10.12062/cpre.20220528. ((in Chinese))

[36]

Ren F, Liu X, Kong F. The path to achieving a synergy between resource protection and energy security via high-quality development of forestry biomass energy industry. J Nat Resour, 2025, 40(12): 3394-3416 in Chinese)

[37]

Sar T, Arifa VH, Hilmy MR, Ferreira JA, Wikandari R, Millati R, Taherzadeh MJ. Organosolv pretreatment of oat husk using oxalic acid as an alternative organic acid and its potential applications in biorefinery. Biomass Convers Biorefin, 2025, 15(23): 29983-29992

[38]

Shen Z, Wang S, Boussemart JP, Hao Y. Digital transition and green growth in Chinese agriculture. Technol Forecast Soc Change, 2022, 181: 121742

[39]

Si XQ, Lu R, Zhao ZT, Yang XF, Wang F, Jiang HF, Luo XL, Wang AQ, Feng ZC, Xu J, Lu F. Catalytic production of low-carbon footprint sustainable natural gas. Nat Commun, 2022, 13: 258

[40]

Su JQ, Su K, Wang SB. Evaluation of digital economy development level based on multi-attribute decision theory. PLoS ONE, 2022, 17(10 e0270859

[41]

Sun Y, Lin J, Lin W, Dai Y. Research on the evolution characteristics and policy tools of China’s timber industry policy: based on the analysis of relevant policy documents since 1949. China for Prod Ind, 2025, 62(7): 92-101 in Chinese)

[42]

Tan B. Legislative optimization and institutional improvement of voluntary greenhouse gas emission reduction trading mechanism. J Beijing Univ Aeronaut Astronaut (Soc Sci Ed), 2025, 38(346-62

[43]

Väisänen T, Haapala A, Lappalainen R, Tomppo L. Utilization of agricultural and forest industry waste and residues in natural fiber-polymer composites: a review. Waste Manag, 2016, 54: 62-73

[44]

Wang Y, Wu YJ. Digital economy, rural E-commerce development, and farmers’ employment quality. Sustainability, 2025, 17(7 2949

[45]

Wang F, Guo BH, Wang ZX, Wu YX. The impact of digital economy on the export competitiveness of China’s manufacturing industry. Math Biosci Eng, 2023, 20(4): 7253-7272

[46]

Wu X, Wu W. Measurement analysis of Chongqing information economy. Economic Forum, 2006, 21: 37-39(in Chinese)

[47]

Xiao H (2025) Research on the Evolution and Influencing Factors of Global Biomass Energy Trade Network. PhD dissertation, Northwest A&F University.

[48]

Xin S, Zhang D. Beijing forestry industry structure and competitiveness analysis under the background of low carbon economy. Issues for Econ, 2014, 34(04): 357-362 in Chinese)

[49]

Xu YM, Tao YT, Zhang CJ, Xie MX, Li WG, Tai JJ. Review of digital economy research in China: a framework analysis based on bibliometrics. Comput Intell Neurosci, 2022, 2022 2427034

[50]

Yang XD, Hunjra AI, Grebinevych O, Roubaud D, Zhao SK. Roads to sustainable development: pioneering industrial green transformation through digital economy policy. J Environ Manag, 2025, 387 125721

[51]

Yao L, Ma L, Su KW, Wang MX, Duan W, Wen YL. Empowering forestry management and farmers’ income growth through the digital economy—empirical evidence from Guizhou Province, China. Forests, 2024, 15(11 1998

[52]

Yasmeen R, Hao G, Yan H, Shah WUH. The impact of technological dynamics and fiscal decentralization on forest resource efficiency in China: the mediating role of digital economy. Forests, 2023, 14(122416

[53]

Zhang K. Research on the internal mechanism of digital transformation driving green and low-carbon development in manufacturing industry. Mod Bus Trade Ind, 2025, 24: 1-3 in Chinese)

[54]

Zhang J, Liu HJ, Wang JQ, Huang QS. Spatial impact of the digital economy on low-carbon logistics efficiency in RCEP countries. J Environ Manag, 2024, 360 121221

[55]

Zhao R. Review of ‘German Digital Program 2014-2017’: strategic objectives, initiatives and implications. E-Gov, 2015, 08: 93-104 in Chinese)

[56]

Zhu C, Liu X, Chen D. Prediction of digital transformation of manufacturing industry based on interpretable machine learning. PLoS ONE, 2024, 19(3 e0299147

RIGHTS & PERMISSIONS

Northeast Forestry University

PDF

32

Accesses

0

Citation

Detail

Sections
Recommended

/