Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality
Abstract
:1. Introduction
2. Literature Review
3. Methods and Data
3.1. Indicator Selection and Data Description
3.1.1. Measurement Indicators of ALGLU
3.1.2. Influencing Factors of ALGLU
3.1.3. Data Sources
3.2. Study Area
3.3. Methods
3.3.1. Super-SBM Model
3.3.2. Spatial Autocorrelation Analysis
3.3.3. Geographic Detector
3.3.4. Geographically Weighted Regression Model
4. Results
4.1. Temporal Changes in ALGLU
4.2. Spatial Characteristics of ALGLU
4.3. Factors Influencing ALGLU
4.3.1. Detection Results of Single-Factor and Multifactor Interactions
4.3.2. Spatial Heterogeneity of Influencing Factors
5. Discussion
6. Conclusions and Management Implications
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Chen, Z.; Sarkar, A.; Rahman, A.; Li, X.; Xia, X. Exploring the drivers of green agricultural development (GAD) in China: A spatial association network structure approaches. Land Use Policy 2022, 112, 105827. [Google Scholar] [CrossRef]
- Zhang, N.; Sun, F.C.; Hu, Y.L. Carbon emission efficiency of land use in urban agglomerations of Yangtze River Economic Belt, China: Based on three-stage SBM-DEA model. Ecol. Indic. 2024, 160, 18. [Google Scholar] [CrossRef]
- Zhang, W.; Ma, L.; Wang, X.; Chang, X.; Zhu, Z. The impact of non-grain conversion of cultivated land on the relationship between agricultural carbon supply and demand. Appl. Geogr. 2024, 162, 103166. [Google Scholar] [CrossRef]
- Berihun, M.L.; Tsunekawa, A.; Haregeweyn, N.; Meshesha, D.T.; Adgo, E.; Tsubo, M.; Masunaga, T.; Fenta, A.A.; Sultan, D.; Yibeltal, M. Exploring land use/land cover changes, drivers and their implications in contrasting agro-ecological environments of Ethiopia. Land Use Policy 2019, 87, 104052. [Google Scholar] [CrossRef]
- Lu, H.; Chen, Y.J.; Luo, J.W. Development of green and low-carbon agriculture through grain production agglomeration and agricultural environmental efficiency improvement in China. J. Clean Prod. 2024, 442, 10. [Google Scholar] [CrossRef]
- Wei, H.B.; Wang, Y.; Liu, J.; Zhang, J.; Cao, Y.X. Coordinated development of cultivated land use and ecological protection in cities along the main stream of the Yellow River in Henan Province, China. Ecol. Indic. 2023, 156, 14. [Google Scholar] [CrossRef]
- Qiao, W.; Hu, B.; Guo, Z.; Huang, X. Evaluating the sustainability of land use integrating SDGs and its driving factors: A case study of the Yangtze River Delta urban agglomeration, China. Cities 2023, 143, 104569. [Google Scholar] [CrossRef]
- Gao, Y.X.; Wang, Z.Q.; Xu, F. Geospatial characteristics and the application of land use functions in the Yangtze River Economic Belt, China: Perspectives on provinces and urban agglomerations. Ecol. Indic. 2023, 155, 13. [Google Scholar] [CrossRef]
- Zhou, Y.R.; Xu, K.J.; Feng, Z.; Wu, K.N. Quantification and driving mechanism of cultivated land fragmentation under scale differences. Ecol. Inform. 2023, 78, 9. [Google Scholar] [CrossRef]
- Duveiller, G.; Caporaso, L.; Abad-Viñas, R.; Perugini, L.; Grassi, G.; Arneth, A.; Cescatti, A. Local biophysical effects of land use and land cover change: Towards an assessment tool for policy makers. Land Use Policy 2020, 91, 104382. [Google Scholar] [CrossRef]
- Fan, M.J.; Wang, Z.Q.; Xue, Z.B. Spatiotemporal evolution characteristics, influencing factors of land use carbon emissions, and low-carbon development in Hubei Province, China. Ecol. Inform. 2024, 81, 11. [Google Scholar] [CrossRef]
- Lin, H.C.; Hülsbergen, K.J. A new method for analyzing agricultural land-use efficiency, and its application in organic and conventional farming systems in southern Germany. Eur. J. Agron. 2017, 83, 15–27. [Google Scholar] [CrossRef]
- Han, H.B.; Zhang, X.Y. Static and dynamic cultivated land use efficiency in China: A minimum distance to strong efficient frontier approach. J. Clean Prod. 2020, 246, 15. [Google Scholar] [CrossRef]
- Yin, Y.Q.; Hou, X.H.; Liu, J.M.; Zhou, X.; Zhang, D.J. Detection and attribution of changes in cultivated land use ecological efficiency: A case study on Yangtze River Economic Belt, China. Ecol. Indic. 2022, 137, 17. [Google Scholar] [CrossRef]
- Sui, H.J.; Song, G.; Liu, W.Y.; Zhang, Y.X.; Su, R.Q.; Wang, Q.X.; Ren, G.F.; Mi, Y.Q. Spatiotemporal variation of cultivated land ecosystem stability in typical regions of Lower Liaohe Plain China based on stress-buffer-response. Sci. Total Environ. 2023, 858, 10. [Google Scholar] [CrossRef] [PubMed]
- Yang, D.; Luan, W.X. Spatial-temporal patterns of urban land use efficiency in china’s national special economic parks. Ecol. Indic. 2024, 163, 10. [Google Scholar] [CrossRef]
- He, S.C.; Gong, X.Y.; Ding, J.; Ma, L.D. Environmental regulation influences urban land green use efficiency: Incentive or disincentive effect? Evidence from China. Heliyon 2024, 10, 12. [Google Scholar] [CrossRef] [PubMed]
- Hu, Y.; Liu, Y. Impact of fertilizer and pesticide reductions on land use in China based on crop-land integrated model. Land Use Policy 2024, 141, 107155. [Google Scholar] [CrossRef]
- Liu, D.D.; Zhu, X.Y.; Wang, Y.F. China’s agricultural green total factor productivity based on carbon emission: An analysis of evolution trend and influencing factors. J. Clean Prod. 2021, 278, 12. [Google Scholar] [CrossRef]
- Zhou, X.; Wu, D.; Li, J.F.; Liang, J.L.; Zhang, D.; Chen, W.X. Original Cultivated land use efficiency and its driving factors in the Yellow River Basin, China. Ecol. Indic. 2022, 144, 13. [Google Scholar] [CrossRef]
- Chen, M.H.; Xiao, H.Y.; Zhao, H.; Liu, L.A. The power of attention: Government climate-risk attention and agricultural-land carbon emissions. Environ. Res. 2024, 251, 16. [Google Scholar] [CrossRef]
- Zhang, Y.X.; Lin, W.P.; Ren, E.H.; Yu, Y. Evaluation of spatial distribution of carbon emissions from land use and environmental parameters: A case study in the Yangtze River Delta demonstration zone. Ecol. Indic. 2024, 158, 12. [Google Scholar] [CrossRef]
- Bonfiglio, A.; Arzeni, A.; Bodini, A. Assessing eco-efficiency of arable farms in rural areas. Agric. Syst. 2017, 151, 114–125. [Google Scholar] [CrossRef]
- Yang, H.; Chen, L.G.; Yang, B.; Shi, Z.K. Exploring provincial sustainable intensification of cultivated land use in China: An empirical study based on emergy analysis. Phys. Chem. Earth 2022, 128, 12. [Google Scholar] [CrossRef]
- Fu, J.; Ding, R.; Zhu, Y.Q.; Du, L.Y.; Shen, S.W.; Peng, L.N.; Zou, J.; Hong, Y.X.; Liang, J.; Wang, K.X.; et al. Analysis of the spatial-temporal evolution of Green and low carbon utilization efficiency of agricultural land in China and its influencing factors under the goal of carbon neutralization. Environ. Res. 2023, 237, 16. [Google Scholar] [CrossRef] [PubMed]
- Zhang, J.; Zhang, P.; Liu, Y.; Lu, S.; Wu, G. An analysis of the spatiotemporal evolution and driving force of cultivated land green utilization in karst region of southwest China. J. Clean Prod. 2024, 434, 140002. [Google Scholar] [CrossRef]
- Tone, K. A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 2001, 130, 498–509. [Google Scholar] [CrossRef]
- Chai, C.; Zhang, B.; Li, Y.; Niu, W.; Zheng, W.; Kong, X.; Yu, Q.; Zhao, M.; Xia, X. A new multi-dimensional framework considering environmental impacts to assess green development level of cultivated land during 1990 to 2018 in China. Environ. Impact Assess. Rev. 2023, 98, 106927. [Google Scholar] [CrossRef]
- Wang, Z.; Yang, H.; Hu, Y.; Peng, Y.; Liu, L.; Su, S.; Wang, W.; Wu, J. Multifunctional trade-off/synergy relationship of cultivated land in Guangdong: A long time series analysis from 2010 to 2030. Ecol. Indic. 2023, 154, 110700. [Google Scholar] [CrossRef]
- Zhou, Y.R.; Chen, T.Q.; Feng, Z.; Wu, K.N. Identifying the contradiction between the cultivated land fragmentation and the construction land expansion from the perspective of urban-rural differences. Ecol. Inform. 2022, 71, 13. [Google Scholar] [CrossRef]
- Yang, B.; Wang, Z.Q.; Zou, L.; Zou, L.L.; Zhang, H.W. Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China’s Yangtze River Economic Belt, 2001–2018. J. Environ. Manage. 2021, 294, 10. [Google Scholar] [CrossRef] [PubMed]
- Li, H.H.; Song, W. Spatial transformation of changes in global cultivated land. Sci. Total Environ. 2023, 859, 10. [Google Scholar] [CrossRef] [PubMed]
- Ma, S.; Deng, G.Y.; Wang, L.J.; Hu, H.B.; Fang, X.H.; Jiang, J. Telecoupling between urban expansion and forest ecosystem service loss through cultivated land displacement: A case study of Zhejiang Province, China. J. Environ. Manage. 2024, 357, 15. [Google Scholar] [CrossRef] [PubMed]
- Miao, X.R.; Li, Z.H.; Wang, M.Y.; Mei, J.; Chen, J. Measurement of cultivated land ecosystem resilience in black soil region of Northeast China under the background of cultivated land protection policy in China: Case study of Qiqihar City. J. Clean Prod. 2024, 434, 14. [Google Scholar] [CrossRef]
- Xu, Y.Y.; Liu, Z.; Walker, T.R.; Adams, M.; Dong, H.J. Spatio-temporal patterns and spillover effects of synergy on carbon dioxide emission and pollution reductions in the Yangtze River Delta region in China. Sust. Cities Soc. 2024, 107, 17. [Google Scholar] [CrossRef]
- Wu, F.; He, J.; Cai, L.; Du, M.; Huang, M. Accurate multi-objective prediction of CO2 emission performance indexes and industrial structure optimization using multihead attention-based convolutional neural network. J. Environ. Manag. 2023, 337, 117759. [Google Scholar] [CrossRef] [PubMed]
- Peng, S.Y.; Yu, Y.J. Green development efficiency measurement and influencing factors analysis in the Yangtze River economic Belt, China. Ecol. Indic. 2024, 162, 13. [Google Scholar] [CrossRef]
- Kuang, B.; Lu, X.; Zhou, M.; Chen, D. Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered. Technol. Forecast. Soc. Chang. 2020, 151, 119874. [Google Scholar] [CrossRef]
- Cui, Y.; Khan, S.U.; Sauer, J.; Zhao, M. Exploring the spatiotemporal heterogeneity and influencing factors of agricultural carbon footprint and carbon footprint intensity: Embodying carbon sink effect. Sci. Total Environ. 2022, 846, 13. [Google Scholar] [CrossRef]
- Ye, S.; Ren, S.; Song, C.; Du, Z.; Wang, K.; Du, B.; Cheng, F.; Zhu, D. Spatial pattern of cultivated land fragmentation in mainland China: Characteristics, dominant factors, and countermeasures. Land Use Policy 2024, 139, 107070. [Google Scholar] [CrossRef]
- Sun, D.-F.; Li, H.; Dawson, R.; Tang, C.-J.; Li, X.-W. Characteristics of Steep Cultivated Land and the Impact of the Grain-for-Green Policy in China. Pedosphere 2006, 16, 215–223. [Google Scholar] [CrossRef]
- Chen, S.; Yao, S.B. Identifying the drivers of land expansion and evaluating multi-scenario simulation of land use: A case study of Mashan County, China. Ecol. Inform. 2023, 77, 12. [Google Scholar] [CrossRef]
- Lyu, X.; Peng, W.L.; Niu, S.D.; Qu, Y.; Xin, Z.F. Evaluation of sustainable intensification of cultivated land use according to farming households’ livelihood types. Ecol. Indic. 2022, 138, 15. [Google Scholar] [CrossRef]
- Fan, Y.; Jin, X.; Gan, L.; Yang, Q.; Wang, L.; Lyu, L.; Li, Y. Exploring an integrated framework for “dynamic-mechanism-clustering” of multiple cultivated land functions in the Yangtze River Delta region. Appl. Geogr. 2023, 159, 103061. [Google Scholar] [CrossRef]
- Huang, P.J.; Qu, Y.; Shu, B.R.; Huang, T. Decoupling relationship between urban land use morphology and carbon emissions: Evidence from the Yangtze River Delta Region, China. Ecol. Inform. 2024, 81, 12. [Google Scholar] [CrossRef]
- Huang, K.P.; Tang, W.; Zhou, F.M. Agricultural Productive Services and Ecological Efficiency of Cultivated Land Use: Evidence from Hunan Province, China. Pol. J. Environ. Stud. 2024, 33, 5127–5140. [Google Scholar] [CrossRef] [PubMed]
- Feng, L.; Lei, G.P.; Nie, Y. Exploring the eco-efficiency of cultivated land utilization and its influencing factors in black soil region of Northeast China under the goal of reducing non-point pollution and net carbon emission. Environ. Earth Sci. 2023, 82, 17. [Google Scholar] [CrossRef]
- Zhang, Y.; Peng, J.C.; Ding, Z.Z. A study on the influencing factors of total factor productivity of cultivated land resource utilization: Evidences from direct influence and spatial spillover in China. Int. J. Low Carbon Technol. 2023, 18, 228–243. [Google Scholar] [CrossRef]
- Yu, X.; Sun, J.X.; Sun, S.K.; Yang, F.; Lu, Y.J.; Wang, Y.B.; Wu, F.J.; Liu, P. A comprehensive analysis of regional grain production characteristics in China from the scale and efficiency perspectives. J. Clean Prod. 2019, 212, 610–621. [Google Scholar] [CrossRef]
- Lin, Q.W.; Bai, S.R.; Qi, R. Cultivated Land Green Use Efficiency and Its Influencing Factors: A Case Study of 39 Cities in the Yangtze River Basin of China. Sustainability 2024, 16, 14. [Google Scholar] [CrossRef]
- Tian, Y.; Shi, X.Y. Analysis of Dynamic Evolution and Driving Factors of Low-Carbon Utilization Efficiency of Cultivated Land in China. Agriculture 2024, 14, 26. [Google Scholar] [CrossRef]
- Zhang, Z.Q.; Zhang, Y.F.; Zhang, X. Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China. Sustainability 2024, 16, 25. [Google Scholar] [CrossRef]
- Lee, C.C.; Qian, A.Q. Regional differences, dynamic evolution, and obstacle factors of cultivated land ecological security in China. Socio Econ. Plan. Sci. 2024, 94, 16. [Google Scholar] [CrossRef]
- Li, C.X.; Wang, X.L.; Ji, Z.X.; Li, L.; Guan, X.K. Optimizing the Use of Cultivated Land in China’s Main Grain-Producing Areas from the Dual Perspective of Ecological Security and Leading-Function Zoning. Int. J. Environ. Res. Public Health 2022, 19, 20. [Google Scholar] [CrossRef] [PubMed]
- Du, G.M.; Xie, J.; Hou, D.W.; Yu, F.R. Regional differences in the green use level of cultivated land in the Heilongjiang reclamation area. Front. Environ. Sci. 2023, 11, 12. [Google Scholar] [CrossRef]
- Zhou, M.; Zhang, H.; Ke, N. Cultivated Land Transfer, Management Scale, and Cultivated Land Green Utilization Efficiency in China: Based on Intermediary and Threshold Models. Int. J. Environ. Res. Public Health 2022, 19, 20. [Google Scholar] [CrossRef]
- Luo, X.; Ao, X.H.; Zhang, Z.; Wan, Q.; Liu, X.J. Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints. J. Geogr. Sci. 2020, 30, 535–552. [Google Scholar] [CrossRef]
- Su, D.; Wang, J.Y.; Wu, Q.; Fang, X.Q.; Cao, Y.; Li, G.Y. Exploring regional ecological compensation of cultivated land from the perspective of the mismatch between grain supply and demand. Environ. Dev. Sustain. 2023, 25, 14817–14842. [Google Scholar] [CrossRef]
- Hou, X.H.; Liu, J.M.; Zhang, D.J.; Zhao, M.J.; Xia, C.Y. Impact of urbanization on the eco-efficiency of cultivated land utilization: A case study on the Yangtze River Economic Belt, China. J. Clean Prod. 2019, 238, 9. [Google Scholar] [CrossRef]
- Ge, P.F.; Liu, T.; Wu, X.X.; Huang, X.L. Heterogenous Urbanization and Agricultural Green Development Efficiency: Evidence from China. Sustainability 2023, 15, 22. [Google Scholar] [CrossRef]
- Song, Y.C.; Gao, Y.S.; Zhang, S.X.; Dong, H.Z.; Liu, X.F. Research on the Coupling Coordination and Driving Mechanisms of New-Type Urbanization and the Ecological Environment in China’s Yangtze River Delta. Sustainability 2024, 16, 20. [Google Scholar] [CrossRef]
- Ou, Y.; Bao, Z.; Ng, S.T.; Song, W.; Chen, K. Land-use carbon emissions and built environment characteristics: A city-level quantitative analysis in emerging economies. Land Use Policy 2024, 137, 107019. [Google Scholar] [CrossRef]
- Cao, Y.Q.; Ji, X.H.; Yao, J.Q.; Xu, N.; Chen, M.; Yang, X.T.; Liu, Z.H.; Li, Z.H.; Mo, F. Research on Coupling Coordination of Agricultural Carbon Emission Efficiency and Food Security in Hebei Province, China. Sustainability 2024, 16, 23. [Google Scholar] [CrossRef]
Type | Carbon Absorption Rate | Water Coefficient | Economic Coefficient |
---|---|---|---|
wheat | 0.485 | 0.12 | 0.40 |
corn | 0.471 | 0.13 | 0.40 |
rice | 0.414 | 0.12 | 0.45 |
legumes | 0.450 | 0.13 | 0.34 |
tubers | 0.423 | 0.70 | 0.70 |
Carbon Source | Plowing (kg·kg−1) | Fertilization (kg·kg−1) | Agricultural Plastic Film Usage (kg·kg−1) | Diesel (kg·km−2) | Agricultural Irrigation (kg·hm−2) |
---|---|---|---|---|---|
Coefficients | 25 | 0.8956 | 5.18 | 0.5927 | 25 |
Dimension | Influencing Factor | Characterization Indicator | Code |
---|---|---|---|
natural environment | Terrain | Slope | X1 |
Precipitation | Annual precipitation | X2 | |
socio-economics | Level of urbanization | Urbanization rate | X3 |
Farmers’ income | Farmers’ disposable income | X4 | |
agricultural modernization | Agricultural irrigation level | Effective irrigation area | X5 |
Level of agricultural machinery | Total power of agricultural machinery | X6 | |
agricultural policy | Government subsidies | Expenditure on agricultural, forestry, and water affairs in fiscal expenditure | X7 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Li, R.; Cui, W. Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality. Sustainability 2024, 16, 6889. https://doi.org/10.3390/su16166889
Li R, Cui W. Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality. Sustainability. 2024; 16(16):6889. https://doi.org/10.3390/su16166889
Chicago/Turabian StyleLi, Ruifa, and Wanglai Cui. 2024. "Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality" Sustainability 16, no. 16: 6889. https://doi.org/10.3390/su16166889