Farmland scale management can bring large scale benefits to producers, promote labour productivity and increase farmers’ income. However, excessive concentration of farmland also has a few shortcomings, such as decreases in intensive farming, farmland productivity, and employment efficiency. Identifying the optimal land management scale is an effective means to improve agricultural production efficiency. Regression analysis is used to estimate the optimal land management scale under current productivity in China. Further, a decision graph has been drawn, which shows that the scale of big grain production households and comprehensive family farms is generally less than the optimal level, and an inverse relationship exists between farm size and productivity. Lastly, the suggestions that scattered land should be concentrated in the hands of big grain production households and family farms, and that land-lost farmers should work in their local agricultural industry, participating in the profit from land production are made.
Published in | International Journal of Economics, Finance and Management Sciences (Volume 5, Issue 6) |
DOI | 10.11648/j.ijefm.20170506.16 |
Page(s) | 312-320 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2017. Published by Science Publishing Group |
Big Grain Production Household, Comprehensive Family Farm, Optimal Land Management Scale, Decision Graph
[1] | R. Li, Y. Chao, “Study on the determinants of the revenue of a big grain production household and moderate planting scale,” Rural Economy, 2014, (2), pp. 27-30. (in Chinese). |
[2] | Y.-j. Zheng, “Analysis on the land moderate scale management of a family farm,” Land & Resources Herald, 2013, (7), pp. 21-23. (in Chinese). |
[3] | J.-y. Jiang, S.-y. Zhang, B.-w. Li, et al., “Does blindness exist in the farmers’ intention to expand farmland scale?” China Population, Resources and Environment, 2016, 26(8), pp. 97-104. (in Chinese). |
[4] | T. Lefroy, J. Key, and R. Kingwell, “An examination of Broadacre farm size and performance in Western Australia,” Australian Economic Review, 2017, 50(1), pp. 52-65. |
[5] | B. T. Anang, S. Backman, and A. Rezitis, “Does farm size matter? Investigating scale efficiency of peasant rice farmers in Northern Ghana,” Economics Bulletin, 2016, 36, (4), pp. 2275-2290. |
[6] | L. Liang, S.-l. Lin, and Z.-x. Zhang, “Effect of the family life cycle on the family farm scale in Southern China,” Agricultural Economics, 2015, 61(9), pp. 429-440. |
[7] | M. Kołtun, S. Kocira, Z. Krzysiak, et al, “Economic size and developmental possibilities of chosen family farms in Poland,” Agriculture and Agricultural Science Procedia, 2015, 7, pp. 113-118. |
[8] | S. K. Lowder, J. Skoet, and T. Raney, “The number, size, and distribution of farms, smallholder farms, and family farms Worldwide,” World Development, 2016, 87, pp. 16-29. |
[9] | Y.-g. Wu, “Moderate scale management of family farm in Guangxi,” Journal of Southern Agriculture, 2014, 45(4), pp. 709-714. (in Chinese). |
[10] | W.-r. Lu, Y. Duan, and H.-l. Lu, “Family farm: Based on the business practice with an appropriate scale within the village,” China Agricultural University Journal of Social Sciences Edition, 2014, 31(3), pp. 95-105. (in Chinese). |
[11] | X.-k. Zhang, “Development advantages of large-scale family farm,” Modern Agricultural Science and Technology, 2013, (9), pp. 321-325. (in Chinese). |
[12] | K.-m. Qian and T.-j. Peng, “Economic analysis of the moderate scale farmers in food production,” Issues in Agricultural Economy, 2014, (3), pp. 4-7. (in Chinese). |
[13] | E. Blanc, A. Lepine, and E. Strobl, “Determinants of crop yield and profit of family farms: Evidence from the Senegal River valley,” Experimental Agriculture, 2016, 52(1), pp. 110-136. |
[14] | Y. Sheng, S.-j. Zhao, K. Nossal, et al, “Productivity and farm size in Australian agriculture: Reinvestigating the returns to scale,” Australian Journal of Agricultural and Resource Economics, 2015, 59(1), pp. 16-38. |
[15] | S. Gaurav and S. Mishra, “Farm size and returns to cultivation in India: Revisiting an old debate,” Oxford Development Studies, 2015, 43(2), pp. 165-193. |
[16] | L. Cielava, D. Jonkus, and L. Paura, “Effect of farm size on the productivity and longevity of Latvian Brown cows,” 20th Annual International Scientific Conference on Research for Rural Development, Latvia Univ Agr, Jelgava, 2014. |
[17] | C. Carletto, S. Savastano, and A. Zezza, “Fact or artifact: The impact of measurement errors on the farm size-productivity relationship,” Journal of Development Economics, 2013, 103, pp. 254-261. |
[18] | H. Henderson, “Considering technical and allocative efficiency in the inverse farm size-productivity relationship,” Journal of Agricultural Economics, 2015, 66(2), pp. 442-469. |
[19] | D. A. Ali and K. Deininger, “Is there a farm size-productivity relationship in African agriculture? Evidence from Rwanda,” Land Economics, 2015, 91(2), pp. 317-343. |
[20] | J.-y. Wang, K. Z. Chen, S. Das Gupta, et al, “Is small still beautiful? A comparative study of rice farm size and productivity in China and India,” China Agricultural Economic Review, 2015, 7(3), pp. 484-509. |
[21] | G.-h. Ni and F. Cai, “What is the proper land management scale really needed by farmers?” Economic Research Journal, 2015, (3), pp. 159-171. (in Chinese). |
[22] | X.-n. Ren, G.-q. Meng, C. Li, et al., “Large-scale land management and influencing factors of large-scale grain-production households,” Journal of Hunan Agricultural University (Social Sciences), 2015, 16(2), pp. 12-17. (in Chinese). |
[23] | H. Yuan and J.-z. Gao, “Lower limit of family farms’ land scale based on propensity score matching,” Guizhou Agricultural Science, 2015, 43(3), pp. 198-201. (in Chinese). |
[24] | Y. Sheng, A. Davidson, K. Fuglie, et al, “Input substitution, productivity performance and farm size,” Australian Journal of Agricultural and Resource Economics, 2016, 60(3), pp. 327-347. |
[25] | B. Zhou, “Empirical analysis on the optimization problem of rice planted area of a big grain production household,” Journal of Agrotechnical Economics, 2010, (4), pp. 120-127. (in Chinese). |
[26] | S. Panda, “Farmer education and household agricultural income in rural India,” International Journal of Social Economics, 2015, 42(6), pp. 514-529. |
[27] | Y. Liu and J.-k. Huang, “A multi-objective decision model of farmers’ crop production,” Economic Research Journal, 2010, (1), pp. 148-157. (in Chinese). |
APA Style
Fang Luo, Miao Tian, Qingli Xia, Dan Xu, Caihong Sun. (2017). Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph. International Journal of Economics, Finance and Management Sciences, 5(6), 312-320. https://doi.org/10.11648/j.ijefm.20170506.16
ACS Style
Fang Luo; Miao Tian; Qingli Xia; Dan Xu; Caihong Sun. Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph. Int. J. Econ. Finance Manag. Sci. 2017, 5(6), 312-320. doi: 10.11648/j.ijefm.20170506.16
AMA Style
Fang Luo, Miao Tian, Qingli Xia, Dan Xu, Caihong Sun. Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph. Int J Econ Finance Manag Sci. 2017;5(6):312-320. doi: 10.11648/j.ijefm.20170506.16
@article{10.11648/j.ijefm.20170506.16, author = {Fang Luo and Miao Tian and Qingli Xia and Dan Xu and Caihong Sun}, title = {Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph}, journal = {International Journal of Economics, Finance and Management Sciences}, volume = {5}, number = {6}, pages = {312-320}, doi = {10.11648/j.ijefm.20170506.16}, url = {https://doi.org/10.11648/j.ijefm.20170506.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20170506.16}, abstract = {Farmland scale management can bring large scale benefits to producers, promote labour productivity and increase farmers’ income. However, excessive concentration of farmland also has a few shortcomings, such as decreases in intensive farming, farmland productivity, and employment efficiency. Identifying the optimal land management scale is an effective means to improve agricultural production efficiency. Regression analysis is used to estimate the optimal land management scale under current productivity in China. Further, a decision graph has been drawn, which shows that the scale of big grain production households and comprehensive family farms is generally less than the optimal level, and an inverse relationship exists between farm size and productivity. Lastly, the suggestions that scattered land should be concentrated in the hands of big grain production households and family farms, and that land-lost farmers should work in their local agricultural industry, participating in the profit from land production are made.}, year = {2017} }
TY - JOUR T1 - Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph AU - Fang Luo AU - Miao Tian AU - Qingli Xia AU - Dan Xu AU - Caihong Sun Y1 - 2017/12/28 PY - 2017 N1 - https://doi.org/10.11648/j.ijefm.20170506.16 DO - 10.11648/j.ijefm.20170506.16 T2 - International Journal of Economics, Finance and Management Sciences JF - International Journal of Economics, Finance and Management Sciences JO - International Journal of Economics, Finance and Management Sciences SP - 312 EP - 320 PB - Science Publishing Group SN - 2326-9561 UR - https://doi.org/10.11648/j.ijefm.20170506.16 AB - Farmland scale management can bring large scale benefits to producers, promote labour productivity and increase farmers’ income. However, excessive concentration of farmland also has a few shortcomings, such as decreases in intensive farming, farmland productivity, and employment efficiency. Identifying the optimal land management scale is an effective means to improve agricultural production efficiency. Regression analysis is used to estimate the optimal land management scale under current productivity in China. Further, a decision graph has been drawn, which shows that the scale of big grain production households and comprehensive family farms is generally less than the optimal level, and an inverse relationship exists between farm size and productivity. Lastly, the suggestions that scattered land should be concentrated in the hands of big grain production households and family farms, and that land-lost farmers should work in their local agricultural industry, participating in the profit from land production are made. VL - 5 IS - 6 ER -