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Production efficiency and change characteristics of China’s apple industry in terms of planting scale

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  • Yu Sun
  • Yonghua Lu
  • Zichun Wang
  • Mingyue Li

Abstract

The global population is rapidly increasing, the arable land area is losing in a large scale, and the water supply capacity is limited. Meanwhile, China is in a critical period of the transformation of apple industrial structure, and the improvement of apple production efficiency is an important way to increase farmers’ output and income, moderate-scale operation is the inevitable trend in agricultural modernization. However, few studies have explored the production efficiency of the apple industry from the perspective of planting scale. In China, there are seven major apple-producing provinces: Shaanxi, Shandong, Gansu, Henan, Shanxi, Hebei, and Liaoning. Therefore, based on provincial panel data of the seven main apple-producing areas in China, this study used the Malmquist productivity index and data envelopment analysis to measure the efficiency level of the apple industry. At the same time, the threshold regression model was used to analyze the characteristics of the change in apple planting scale and production efficiency. The results showed that apple production efficiency in different regions of China exhibited regional differences and time series fluctuations. Apple planting scale had a "double" threshold effect, and the impact on apple production efficiency showed a "negative effect–positive effect" trend. Therefore, the suggestion is to appropriately adjust the scale of operation, take measures according to local conditions, promote the upgrading of apple production technology, and realize the integration of apple production and sales by using “Internet +.”

Suggested Citation

  • Yu Sun & Yonghua Lu & Zichun Wang & Mingyue Li, 2021. "Production efficiency and change characteristics of China’s apple industry in terms of planting scale," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-15, July.
    • Handle: RePEc:plo:pone00:0254820
    DOI: 10.1371/journal.pone.0254820
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    References listed on IDEAS

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    1. Marcillo, Guillermo S. & Carlson, Sarah & Filbert, Meghan & Kaspar, Thomas & Plastina, Alejandro & Miguez, Fernando E., 2019. "Maize system impacts of cover crop management decisions: A simulation analysis of rye biomass response to planting populations in Iowa, U.S.A," Agricultural Systems, Elsevier, vol. 176(C).
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    Cited by:

    1. Yu Sun & Zhe Zhao & Mingquan Li, 2022. "Coordination of agricultural informatization and agricultural economy development: A panel data analysis from Shandong Province, China," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-20, September.
    2. Yu Sun & Ruijuan Du & Xinmin Liu & Xiumei Xu, 2023. "Regional differences and threshold effects of labor transfer affecting the technical efficiency of China’s agricultural industry: A case study of the apple industry," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-18, February.
    3. Zhang, Daojun & Yang, Wanjing & Kang, Dingrong & Zhang, Han, 2023. "Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region," Land Use Policy, Elsevier, vol. 125(C).
    4. Yu Sun & Ye Deng & Yonghua Lu & Mingyue Li, 2022. "Competitiveness and sustainable development of Chinableapple industry," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-18, June.
    5. Aijun Guo & Xiaoyun Wei & Fanglei Zhong & Penglong Wang & Xiaoyu Song, 2022. "Does Cognition of Resources and the Environment Affect Farmers’ Production Efficiency? Study of Oasis Agriculture in China," Agriculture, MDPI, vol. 12(5), pages 1-18, April.

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