Agricultural Green Total Factor Productivity in Shandong Province of China
DOI:
https://doi.org/10.52825/gjae.v73i2.1351Keywords:
AGTFP, SBM-DEA Model, Malmquist Model, Center of Gravity Model, Coefficient of Variation, Panel RegressionAbstract
Sustainable development of agriculture has an important impact on both society and economy. In order to understand the patterns of spatio-temporal variation and the factors influencing agricultural green total factor productivity (AGTFP), this paper used Shandong province of China as a case study. Utilizing the SBM-DEA and Malmquist models, along with panel regression methods, the study analyzes AGTFP based on data from the Shandong Statistical Yearbook (2009-2019). The results showed that: (1) the AGTFP in Shandong province was smaller than the total factor productivity when not considering the undesirable output, and the AGTFP in most regions of Shandong province needed to be improved. (2) The AGTFP of Shandong province showed an annual rising trend, especially in the eastern and northern regions. (3) In addition to the levels of technology and management, the industrialization and level of personal development of farmers is also shown to have impacted on AGTFP. Recommendations include adopting advanced technologies, enhancing land management, promoting tertiary sector development, expanding agricultural processing, and improving farmer skills through education and training to boost AGTFP to achieve a sustainable agricultural economy.
Downloads
References
Alhassan, H. (2021): The effect of agricultural total factor productivity on environmental degradation in sub-Saharan Africa. Scientific African 12: e00740. https://doi.org/10.1016/j.sciaf.2021.e00740.
Bai, Z. (2008): Econometric Analysis of Panel Data. Nankai University Press, Tianjin.
Caves D.W., Christensen, L.R., Diewert, W.E. (1982): The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 50 (6): 1393-1414. https://doi.org/10.2307/1913388.
Chinairn (2020): China is a major producer and consumer of agricultural and sideline products, what is the current situation of the agricultural product processing industry?. https://www.chinairn.com/hyzx/20201224/143356816.shtml.
Cnr (2014): China's excess capacity in chemical fertilizers needs to be addressed. http://country.cnr.cn/tjxw/201402/t20140207_514794889.shtml.
Espoir, D.K., Bannor, F., Sunge, R. (2021): Intra-Africa agricultural trade, governance quality and agricultural total factor productivity: Evidence from a panel vector autoregressive model. ZBW- Leibniz Information Centre for Economics, Kiel, Hamburg. https://hdl.handle.net/10419/235617.
Fang, L., Hu, R., Mao, H. Chen, S.J. (2021): How crop insurance influences agricultural green total factor productivity: Evidence from Chinese farmers. Journal of Cleaner Production, vol. 321: 128977. https://doi.org/10.1016/j.jclepro.2021.128977.
Fuglie, K. (2015): Accounting for growth in global agriculture. Bio-based and applied economics 4 (3): 201-234. https://doi.org/10.13128/BAE-17151.
Gao, T.M., Wang, J.M., Chen, F., Liu, Y.H. (2016): Econometric Analysis Methods and Modeling: EViews Applications and Examples. Tsinghua University Press, Beijing. http://www.tup.tsinghua.edu.cn/booksCenter/book_06018001.html.
Han, H., Zhong, Z., Wen, C., Sun, H. (2018): Agricultural environmental total factor productivity in China under technological heterogeneity: characteristics and determinants. Environmental Science and Pollution Research 25: 32096-32111. https://doi.org/10.1007/s11356-018-3142-4.
Hong, M.Y., Tian, M.J., Wang, J. (2022): Digital Inclusive Finance, agricultural industrial structure optimization and agricultural green total factor productivity. Sustainability 14 (18): 11450. https://doi.org/10.3390/su141811450
Hsiao, C. (2007): Panel data analysis-advantages and challenges. Test 16 (1):1-22. https://doi.org/10.1007/s11749-007-0046-x.
Huang, Y.L., Zhang, L., Zhu, C.X. (2012): Analysis of agricultural non-point source pollution in nansi lake basin, Shandong Province. Environmental Science Research 25 (11): 1243-1249. https://doi.org/10.13198/j.res.2012.11.57.huangyl.001.
Jiao, Y. (2013): Evaluation of agricultural production efficiency in Shandong province. China Population·Resources and Environment 23 (12):105-110. https://doi.org/10.3969/j.issn.1002－2104.2013.12.016.
Jingweidu (2020): Longitude and Latitude Query. https://jingweidu.51240.com/.
Lai, S.Y. (2003): Non-point source survey and evaluation method and its application research. Tsinghua University, Beijing.
Lai, S.Y., Du, P.F., Chen, J.N. (2004): Non-point source pollution investigation and evaluation method based on unit analysis. Journal of Tsinghua University (Natural Science Edition) 44 (9): 1184-1187. https://doi.org/10.16511/j.cnki.qhdxxb.2004.09.009.
Li, J., Chen, J., Liu, H. (2021): Sustainable agricultural total factor productivity and its spatial relationship with urbanization in China. Sustainability 13 (12): 6773. https://doi.org/10.3390/su13126773.
Li, M. (2019): Research on the shift of the center of gravity and spatial coordination of “population-economy-land” in Shandong cities. Shandong Normal University, Jinan.
Li, Z.D., Yuchi, X.J. (2019): Research on agricultural production efficiency in Shandong province. Journal of Shandong Agricultural University (Social Science Edition), 21(02): 45-51.
Li, Y., Chen, C., Liu, F., Wang, J. (2022): Analysis method of agricultural total factor productivity based on stochastic block model (SBM) and machine learning. Journal of Food Quality, vol. 2022. https://doi.org/10.1155/2022/9297205.
Liang, J., Long, S.B. (2015): Green agricultural total factor productivity growth and its influencing factors. Journal of South China Agricultural University (Social Science Edition) 14 (3): 1-12. https://doi.org/10.7671/j.issn.1672-0202. 2015.03.001.
Liang, J.R., Xi, X.R. (2022): Measurement of Agricultural Green Total Factor Productivity and Analysis of Influencing Factors in Shandong Province. Rural Economy and Technology 33 (5): 1-5+15.
Liang, L.T. (2009): Research on the spatio-temporal characteristics and evolution of rural ecological environment. Nanjing Agricultural University, Nanjing.
Liu, D.D., Zhu, X.Y., Wang, Y.F. (2021): China's agricultural green total factor productivity based on carbon emission: An analysis of evolution trend and influencing factors. Journal of Cleaner Production 278 123692: 1-12. https://doi.org/10.1016/j.jclepro.2020.123692.
Liu, F., Zhang, H.L. (2018): Analysis of Agricultural Total Factor Productivity and Influencing Factors under Carbon Emission Constraints in Shandong Province. Jiangsu Agricultural Science 46 (24): 387-390. https://doi.org/10.15889/j.issn.1002-1302.2018.24.099.
Liu, J.X., Wang, M.J., Yang, L., Rahman, S., Sriboonchitta, S. (2020): Agricultural productivity growth and its determinants in south and southeast Asian countries. Sustainability 12 (12): 4981. https://doi.org/10.3390/su12124981.
Liu, Z.W. (2018): Analysis on the dynamic evolution and influencing factors of agricultural total factor productivity in china. Chinese Journal of Agricultural Resources and Regional Planning 39 (12): 104-111. https://doi.org/10.7621/cjarrp.1005-9121.20181215.
Kumar, P., Mittal, S., Hossain, M. (2008): Agricultural Growth Accounting and Total Factor Productivity in South Asia: A Review and Policy Implications. Agricultural Economics Research Review 21: 145-172.
Ma, J.Z., Ding, Z.Y., Wei, G.X., Zhao, H., Huang, T.M. (2009): Sources of water pollution and evolution of water quality in the Wuwei basin of Shiyang River，Northwest China. Journal of Environmental Management 90 (2): 1168-1177. https://doi.org/10.1016/j.jenvman.2008.05.007.
National Bureau of Statistics of the People's Republic of China (2020): China Statistical Yearbook, 2009-2019. http://www.stats.gov.cn/.
Paudel, K.P., Sambidi, P.R., Sulgham, A.K. (2004): A Theoretical Development and Empirical Test on the Convergence of Agricultural Productivity in the USA. Conference Paper. Presentation at AAEA at 2004 annual meeting. https://doi.org/10.22004/ag.econ.20175.
Rmlt (2019): The economic achievements of the 40 years of reform and opening up and the "business card of China". http://www.rmlt.com.cn/2019/0520/547309.shtml.
Reimers, M., Klasen, S. (2013): Revisiting the role of education for agricultural productivity. American Journal of Agricultural Economic 95 (1): 131-152. https://doi.org/10.1093/ajae/aas118.
Sannong (2014): Looking forward to solving the overcapacity of fertilizer production. http://sannong.cntv.cn/20140207/101694.shtml.
Sathye, M. (2002): Measuring productivity changes in Australian banking: an application of Malmquist indices. Managerial Finance 28 (9): 48-59. https://doi.org/10.1108/03074350210768068.
Shandong Provincial Bureau of Statistics (2020): Shandong Statistical Yearbook (2009-2019). http://tjj.shandong.gov.cn/col/col6279/index.html.
Sheng, Y., Tian, X., Qiao, W., Peng, C. (2020): Measuring agricultural total factor productivity in China: pattern and drivers over the period of 1978-2016. Australian Journal of Agricultural and Resource Economics 64 (1):82-103. https://doi.org/10.1111/1467-8489.12327.
Sheng, Y., Ball, V.E., Erickson, K., Mesonada, C.S.J. (2022): Cross-country agricultural TFP convergence and capital deepening: Evidence for induced innovation from 17 OECD countries. Journal of Productivity Analysis 58 (2-3): 185-202. https://doi.org/10.1007/s11123-022-00646-z.
Song, T.S., Zhang, Z.T., Hao, T. (2012): A study on agricultural production's efficiency during the 11th Five-year Plan period in Shandong Province on basis of DEA method. Journal of Qilu Normal University 27 (3): 25-31.
Tan, R.H., Liu, H.M. (2022): Characteristic evolution and influencing factors of the spatial correlation network of agricultural green total factor productivity in China. Chinese Journal of Eco-Agriculture 30 (12): 2011-2026. https://doi.org/10.12357/cjea.20220339.
Tellier, L.N., Vertefeuille, C. (1995): Understanding spatial inertia: center of gravity, population densities, the Weber problem, and gravity potential. Journal of Regional Science 35 (1): 155-164. https://doi.org/10.1111/j.1467-9787.1995.tb01404.x.
Tone, K. (2001): A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130 (3): 498-509. https://doi.org/10.1016/S0377-2217(99)00407-5.
Tu, Z.G., Liu, L.K. (2011): Evaluation of China’s industrial efficiency considering energy and environmental factor. Economic Review (2): 55-65. https://doi.org/10.19361/j.er.2011.02.007.
USDA (2012): Total factor productivity has become the primary source of growth in world agriculture. https://www.ers.usda.gov/dataproducts/chart-gallery/gallery/chart-detail/?chartId=76219.
Wang, L., Tang, J.Y., Tang, M.Q., Su, M.Y., Guo, L.L. (2022): Scale of operation, financial support, and agricultural green total factor productivity: Evidence from China. International Journal of Environmental Research and Public Health 19 (15): 9043. https://doi.org/10.3390/ijerph19159043.
Wang, S., Wang, X. (2017): Does service inward foreign direct investment improve green total factor productivity: An empirical study based on china’s provincial panel data. Journal of International Trade issue 12: 83-93. https://doi.org/10.13510/j.cnki.jit.2017.12.008.
Wang, Y.R., Xie L.Y. (2022): Research on the Impact of Human Capital on Agricultural Green Total Factor Productivity: An Analysis of the Impact Path Based on Mediation Effect. Journal of Shandong Agricultural University (Social Science Edition) 24 (3): 1-7. https://mall.cnki.net/magazine/article/SDND202203001.htm.
Wang Y.F., Xiao, Y. (2022): New Urbanization, Agricultural Industry Agglomeration, and Agricultural Green Total Factor Productivity Growth: Impact Mechanism and Empirical Testing. Journal of Chongqing Normal University (Social Sciences Edition) 42 (4): 5-20. https://doi.org/10.19742/j.cnki.50-1164/C.220401.
Xu, Q.H., Zhu, P.X., Tang, L. (2022): Agricultural services: Another way of farmland utilization and its effect on agricultural green total factor productivity in China. Land 11 (8): 1170. https://doi.org/10.3390/land11081170.
Xu, X.C., Zhang, L., Chen, L.H., Liu, C.J. (2020): The Role of soil N2O emissions in agricultural green total factor productivity: An empirical study from china around 2006 when agricultural tax was abolished. Agriculture 10 (5): 150. https://doi.org/10.3390/agriculture10050150.
Yang, J., Wang, J., Li, C., Liu, X.P. (2019): Spatial differentiation and driving factors of green total factor productivity in China's agriculture. Quantitative Economic and Technological Economic Research 36 (10): 21-37. https://doi.org/10.13653/j.cnki.jqte.2019.10.002.
Yang, Y., Ma, H., Wu, G.S. (2022): Agricultural green total factor productivity under the distortion of the factor market in China. Sustainability 14 (15): 9309. https://doi.org/10.3390/su14159309.
Ye, F., Yang, Z.N., Yu, M., Watson, S., Lovell, A. (2023): Can Market-Oriented Reform of Agricultural Subsidies Promote the Growth of Agricultural Green Total Factor Productivity? Empirical Evidence from Maize in China. Agriculture 13 (2): 251. https://doi.org/10.3390/agriculture13020251.
Zhang, H.Y., Liu, Y.Z. (2015): Evaluation and analysis of agricultural production efficiency in Shandong Province based on undesirable output model. Journal of Henan Agricultural University 49 (3): 423-428. https://doi.org/10.16445/j.cnki.1000-2340.2015.03.024.
Zhang, P.Y., Li, Y.Y., …, Qin, M.Z. (2020a): Comprehensive assessment of the effect of urban built-up land expansion and climate change on net primary productivity. Complexity, 2020:1-12. https://doi.org/10.1155/2020/8489025.
Zhang, P.Y., Yang, D., …, Shao, J.W. (2020b): Re-examining the drive forces of China’s industrial wastewater pollution based on GWR model at provincial level. Journal of Cleaner Production vol. 262: 121309. https://doi.org/10.1016/j.jclepro.2020.121309.
Zhao, P.Y., Wu, H.Y., Lu, Z.G., Kou, J.L. and Du, J. (2022): Spatial differences, distributional dynamics, and driving factors of green total factor productivity in China. Frontiers in Environmental Science 10: 1058612. https://doi.org/10.3389/fenvs.2022.1058612.
Zuo, Y.X. (2019): Study on the difference of production and scale of agricultural total factor productivity based on TFP Index. Ekoloji 28 (107): 3729-3734.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Yuanxin Peng, Zhuo Chen, Jay Lee
This work is licensed under a Creative Commons Attribution 4.0 International License.
