Submitted:
08 October 2024
Posted:
10 October 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Theoretical Foundations
2.1. Theory of Human Capital
2.2. Theory of Urban-Rural Dual Economic Structure
2.3. Theory of Income Redistribution
2.4. Research Hypotheses
3. Data and Methodology
3.1. Data
3.2. Entropy Method
3.3. Theil Index
4. Results
4.1. Sustainability of Farmers’ Livelihoods
4.2. Urban-rural income gap
4.3. Farm Household Livelihood Capital Sustainability and Its Impact on Rural-Urban Income Gap
5. Discussion
5.1. The Unique Aspects and Contributions of This Study
5.2. Limitations of This Study
6. Conclusions and Recommendations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Rocca J L.Ka-ho Mok, Social and Political Development in Post-Reform China[M].Macmillan Press ;,2000.
- Zhou Q, Li Z.The impact of industrial structure upgrades on the urban–rural income gap: An empirical study based on China’s provincial panel data[J].Growth and Change, 2021. [CrossRef]
- Liu Y S.Urban-Rural Transformation Geography[J].Sustainable Development Goals Series, 2021. [CrossRef]
- Meng, H.; Deng, P.; Zhang, J. Nonlinear Impact of Circulation-Industry Intelligentization on the Urban–Rural Income Gap: Evidence from China. Sustainability 2022, 14, 9405. [Google Scholar] [CrossRef]
- Zhang, P.; Li, W.; Zhao, K.; Zhao, S. Spatial Pattern and Driving Mechanism of Urban–Rural Income Gap in Gansu Province of China. Land 2021, 10, 1002. [Google Scholar] [CrossRef]
- Junqing He, Kunhao Pan, Xiaoqun Dong, Zhuoyang Song, LiuYiBo LiuYiBo, Qianguosun Qianguosun, Yuxin Liang, Hao Wang, Enming Zhang, and Jiaxing Zhang. 2024. Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 13628–13642, Bangkok, Thailand. Association for Computational Linguistics.
- You, Heyuan. "Research Article Assessing Relationships between Peasant Household Livelihood Assets and Regional Agricultural Pollution in China Using Grey Correlation Analysis." Advance Journal of Food Science and Technology 9.6 (2015): 460-465. [CrossRef]
- Zhang, Zhuoyuan. Handbook of Chinese Economics. Springer Nature, 2023.
- Zhao, X.; Liu, L. The Impact of Urbanization Level on Urban–Rural Income Gap in China Based on Spatial Econometric Model. Sustainability 2022, 14, 13795. [Google Scholar] [CrossRef]
- Wang, C.; Zhou, Z.; Chen, Q.; Feng, Q.; Zhu, C. Study on the Livelihood Vulnerability of the Poor Relocated Households in Karst Area: A Case Study of Liupanshui Area. Agriculture 2022, 12, 1577. [Google Scholar] [CrossRef]
- Yang, H.; Huang, Z.; Fu, Z.; Dai, J.; Yang, Y.; Wang, W. Does Land Transfer Enhance the Sustainable Livelihood of Rural Households? Evidence from China. Agriculture 2023, 13, 1667. [Google Scholar] [CrossRef]
- Ren, J.; Lei, H.; Ren, H. Livelihood Capital, Ecological Cognition, and Farmers’ Green Production Behavior. Sustainability 2022, 14, 16671. [Google Scholar] [CrossRef]
- Su, F., Yin, Yj. Optimal livelihood strategy for different poverty groups among farmers: a case study of the Qin-Ba Mountain area in South-Shaanxi, China. J. Mt. Sci. 17, 1206–1220 (2020). [CrossRef]
- J. Xu, Y. Hu and X. Zheng, "Karst rocky desertification and peasant household anti-poverty livelihood behaviors: Current situation and expectation," 2011 19th International Conference on Geoinformatics, Shanghai, China, 2011, pp. 1-5. [CrossRef]
- Ruiying Z, Jianchao X, Nan Z.The Research on Peasant Sustainable Livelihood Models in Rural Tourism Areas Under Urbanization — A Case from Jixian, Tianjin[J].Chinese Journal of Urban and Environmental Studies, 2015, 03(1):1550008. [CrossRef]
- Agbley G K. Land grabbing and the gendered livelihood experience of smallholder farmers in Northern Ghana: Through a human development and capability lens[J]. Ghana Journal of Development Studies, 2019, 16(1): 155-180. [CrossRef]
- Wang C, He X, Song X, et al. Dynamic livelihood impacts of COVID-19 on different rural households in mountainous areas of China[J]. Plos one, 2022, 17(9): e0273816. [CrossRef]
- Hu Z, Song G, Hu Z, et al. How to promote the balanced development of urban and rural China? Evidences from reallocating idle rural residential land of Zhejiang province, China[J]. Plos one, 2023, 18(6): e0287820. [CrossRef]
- Chen L, Peng J, Zhang Y. Research on the Impact of Rural Land Transfer on Non-Farm Employment of Farm Households: Evidence from Hubei Province, China[J]. International Journal of Environmental Research and Public Health, 2022, 19(23): 15587. [CrossRef]
- Guo A, Wei Y, Zhong F, et al. How do climate change perception and value cognition affect farmers’ sustainable livelihood capacity? An analysis based on an improved DFID sustainable livelihood framework[J]. Sustainable Production and Consumption, 2022, 33: 636-650. [CrossRef]
- Zhao X, Xiang H, Zhao F. Measurement and spatial differentiation of farmers’ livelihood resilience under the COVID-19 epidemic outbreak in rural China[J]. Social Indicators Research, 2023, 166(2): 239-267. [CrossRef]
- Maru H, Haileslassie A, Zeleke T. Impacts of small-scale irrigation on farmers’ livelihood: Evidence from the drought prone areas of upper Awash sub-basin, Ethiopia[J]. Heliyon, 2023, 9(5). [CrossRef]
- Ding, X.; Lu, Q.; Li, L.; Sarkar, A.; Li, H. Evaluating the Impact of Institutional Performance and Government Trust on Farmers’ Subjective Well-Being: A Case of Urban–Rural Welfare Gap Perception and Family Economic Status in Shaanxi, Sichuan and Anhui, China. Int. J. Environ. Res. Public Health 2023, 20, 710. [Google Scholar] [CrossRef] [PubMed]
- Li, F., Liu, D., Gao, P. et al. Analysing how government-provided vocational skills training affects migrant workers’ income: A study based on the Livelihood Capital Theory. Humanit Soc Sci Commun 11, 396 (2024). [CrossRef]
- Zhao, X.; Liu, L. The Impact of Urbanization Level on Urban–Rural Income Gap in China Based on Spatial Econometric Model. Sustainability 2022, 14, 13795. [Google Scholar] [CrossRef]
- Wen, S.; Xiao, Q.; Li, J.; Li, J. The Impact of Agricultural Insurance on Urban–Rural Income Gap: Empirical Evidence from China. Agriculture 2023, 13, 1950. [Google Scholar] [CrossRef]
- Su, F.; Song, N.; Ma, N.; Sultanaliev, A.; Ma, J.; Xue, B.; Fahad, S. An Assessment of Poverty Alleviation Measures and Sustainable Livelihood Capability of Farm Households in Rural China: A Sustainable Livelihood Approach. Agriculture 2021, 11, 1230. [Google Scholar] [CrossRef]
- Wang, W., Lan, Y., & Wang, X. (2021). Impact of livelihood capital endowment on poverty alleviation of households under rural land consolidation. Land Use Policy, 109, 105608. [CrossRef]
- Jie, F. A. N., Kan, Z. H. O. U., & Jianxiong, W. U. (2020). Typical study on sustainable development in relative poverty areas and policy outlook of China. Bulletin of Chinese Academy of Sciences (Chinese Version), 35(10), 1249-1263. [CrossRef]
- Ji, X.; Wang, K.; Xu, H.; Li, M. Has Digital Financial Inclusion Narrowed the Urban-Rural Income Gap: The Role of Entrepreneurship in China. Sustainability 2021, 13, 8292. [Google Scholar] [CrossRef]
- Chai K-C, Ma X-R, Yang Y, Lu Y-J and Chang K-C (2022) The impact of climate change on population urbanization: Evidence from china. Front. Environ. Sci. 10:945968. [CrossRef]
- McCormick, Ted. William Petty: and the ambitions of political arithmetic. Oxford University Press, USA, 2009.
- Smith, Adam. The wealth of nations [1776]. Vol. 11937. na, 1937.
- Schultz T W. On human capital investment[J]. Beijing Institute of Economics Press: Beijing, China, 1990.
- Pigou, Arthur. The economics of welfare. Routledge, 2017.
- Jiang, Q.; Li, Y.; Si, H. Digital Economy Development and the Urban–Rural Income Gap: Intensifying or Reducing. Land 2022, 11, 1980. [Google Scholar] [CrossRef]
- Xuelong Wang, Lili Zhu, Nana Li, Shunyu Wang, Shuhan Yang, A study of the impact of financial agglomeration on the urban-rural income gap. Financial Engineering and Risk Management (2023) Vol. 6: 92-101. [CrossRef]
- Figueredo, A.J., Wolf, P.S.A. Assortative Pairing and Life History Strategy. Hum Nat 20, 317–330 (2009). [CrossRef]





| Dimension | Indicator(Units) | Code | Nature of the Indicator |
|---|---|---|---|
| Natural Capital | Total area of crops sown (thousands of hectares) | a1 | Positive |
| Total water resources (billion cubic meters) | a2 | Positive | |
| Area of orchards (thousands of hectares) | a3 | Positive | |
| Poultry egg production (million tons) | a4 | Positive | |
| Milk production (million tons) | a5 | Positive | |
| Meat production (million tons) | a6 | Positive | |
| Financial Capital | Employment in urban units in the financial sector ( ten thousand persons) | b1 | Positive |
| Per capita disposable income of rural residents (Yuan) | b2 | Positive | |
| Value added of agriculture, forestry, animal husbandry and fisheries (billion yuan) | b3 | Positive | |
| Human Capital | Employed persons in urban units of agriculture, forestry, animal husbandry and fisheries ( ten thousand persons) | c1 | Positive |
| Number of graduates of general higher education institutions ( ten thousand persons) | c2 | Positive | |
| Physical Capital | Total retail sales of consumer goods (billions of yuan) | d1 | Positive |
| Total power of agricultural machinery ( ten thousand kilowatts) | d2 | Positive | |
| Road mileage ( ten thousand kilometers) | d3 | Positive | |
| Social Capital | Expenditures on agriculture, forestry and water affairs in local finances (billions of yuan) | e1 | Positive |
| Number of healthcare institutions | e2 | Positive | |
| Urbanization rate(%) | e3 | Positive |
| Year | a1 | a2 | a3 | a4 | a5 | a6 | b1 | b2 | b3 | c1 | c2 | d1 | d2 | d3 | e1 | e2 | e3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008 | 5018.24 | 884.98 | 329.70 | 87.17 | 114.70 | 234.80 | 13.47 | 5208.77 | 1068.41 | 13.22 | 16.51 | 3704.19 | 2651.30 | 12.03 | 136.63 | 8978.61 | 0.48 |
| 2009 | 5072.34 | 780.01 | 337.24 | 88.47 | 113.51 | 246.76 | 14.49 | 5652.81 | 1116.64 | 12.06 | 17.13 | 4279.95 | 2822.45 | 12.45 | 206.51 | 29566.81 | 0.49 |
| 2010 | 5115.47 | 996.97 | 344.55 | 89.12 | 115.34 | 255.67 | 15.16 | 6502.42 | 1276.11 | 12.11 | 18.56 | 5097.02 | 2992.92 | 12.93 | 249.73 | 30223.45 | 0.51 |
| 2011 | 5172.92 | 750.28 | 348.65 | 90.69 | 118.00 | 256.94 | 16.29 | 7688.84 | 1485.11 | 11.60 | 19.62 | 6038.89 | 3152.73 | 13.25 | 307.13 | 30786.74 | 0.52 |
| 2012 | 5228.10 | 952.48 | 354.51 | 92.30 | 120.76 | 270.56 | 17.03 | 8734.84 | 1628.42 | 10.92 | 20.15 | 6917.18 | 3308.35 | 13.67 | 370.04 | 30654.74 | 0.53 |
| 2013 | 5280.72 | 901.86 | 356.24 | 92.78 | 113.92 | 275.32 | 17.35 | 9810.71 | 1760.92 | 9.50 | 20.60 | 7833.64 | 3351.83 | 14.05 | 413.63 | 31432.19 | 0.54 |
| 2014 | 5328.49 | 879.57 | 374.44 | 93.35 | 120.15 | 280.86 | 18.27 | 10904.23 | 1854.03 | 9.18 | 21.27 | 8770.85 | 3485.70 | 14.40 | 439.81 | 31659.10 | 0.55 |
| 2015 | 5381.59 | 902.02 | 361.68 | 96.75 | 121.12 | 278.23 | 19.58 | 11876.84 | 1930.63 | 8.71 | 21.96 | 9244.77 | 3604.13 | 14.77 | 536.83 | 31726.71 | 0.57 |
| 2016 | 5385.13 | 1047.30 | 352.15 | 99.83 | 116.20 | 275.41 | 21.45 | 12877.71 | 2015.29 | 8.49 | 22.71 | 10187.30 | 3136.95 | 15.15 | 574.46 | 31722.39 | 0.58 |
| 2017 | 5365.55 | 927.77 | 359.63 | 99.88 | 98.02 | 279.17 | 22.22 | 13999.58 | 2085.76 | 8.24 | 23.74 | 11204.08 | 3186.56 | 15.40 | 592.91 | 31827.39 | 0.59 |
| 2018 | 5351.69 | 885.90 | 395.83 | 100.91 | 99.18 | 278.21 | 22.55 | 15228.26 | 2179.30 | 6.21 | 24.30 | 12186.56 | 3237.80 | 15.63 | 661.07 | 32175.26 | 0.60 |
| 2019 | 5352.60 | 936.81 | 396.02 | 106.74 | 103.27 | 250.28 | 26.65 | 16678.06 | 2373.45 | 4.33 | 24.47 | 13161.85 | 3314.78 | 16.17 | 720.34 | 32502.55 | 0.61 |
| 2020 | 5402.81 | 1019.53 | 407.94 | 111.86 | 110.97 | 249.95 | 27.71 | 17814.26 | 2625.70 | 2.77 | 25.72 | 12640.00 | 3407.17 | 16.77 | 756.29 | 32997.48 | 0.64 |
| 2021 | 5441.78 | 956.07 | 413.16 | 109.96 | 118.80 | 290.00 | 26.41 | 19698.52 | 2804.96 | 2.79 | 26.66 | 14216.85 | 3476.27 | 17.03 | 694.70 | 33255.97 | 0.65 |
| Model 1 | Model 2 | ||||||
|---|---|---|---|---|---|---|---|
| Variable | Coefficient | Std. Error | t-Statistic | Variable | Coefficient | Std. Error | t-Statistic |
| X1? | -0.2677*** | 0.0282 | -9.4934 | X1? | -0.1464 *** | 0.0294 | -4.9808 |
| X2? | —— | —— | —— | X2? | 0.0793*** | 0.0187 | 4.2426 |
| X3? | —— | —— | —— | X3? | -0.0346*** | 0.0068 | -5.0781 |
| X4? | —— | —— | —— | X4? | -0.0035*** | 0.0014 | -2.4921 |
| X5? | —— | —— | —— | X5? | -0.0001 | 0.0006 | -0.0851 |
| C | 0.1679*** | 0.0077 | 21.6775 | C | 0.5284*** | 0.0672 | 7.8620 |
| R-squared | 0.9681 | Mean dependent var | 0.0944 | R-squared | 0.9749 | Mean dependent var | 0.0944 |
| Adjusted R-squared | 0.9646 | S.D. dependent var | 0.0450 | Adjusted R-squared | 0.9719 | S.D. dependent var | 0.0450 |
| S.E. of regression | 0.0085 | Akaike info criterion | -6.6128 | S.E. of regression | 0.0075 | Akaike info criterion | -6.8349 |
| Sum squared resid | 0.0300 | Schwarz criterion | -6.2030 | Sum squared resid | 0.0236 | Schwarz criterion | -6.3895 |
| Log likelihood | 1583.4740 | Hannan-Quinn criter. | -6.4515 | Log likelihood | 1639.1090 | Hannan-Quinn criter. | -6.6596 |
| F-statistic | 282.1260 | Durbin-Watson stat | 0.2204 | F-statistic | 328.2892 | Durbin-Watson stat | 0.2334 |
| Prob(F-statistic) | 0.0000 | Prob(F-statistic) | 0.0000 | ||||
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 (http://creativecommons.org/licenses/by/4.0/).