Author(s)

Jinghong Zhao ¹, Ping Lv ^2,3

Affiliation(s)

¹ Harbin Finance University, Harbin, 150030, China
² Heilongjiang Rural Credit Cooperatives Union, Harbin, 150028, China
³ Harbin Institute of Technology, Harbin, 150001, China

Corresponding Author

Jinghong Zhao

ABSTRACT

"COVID-19" led to the influence of food imports, safe and effective to improve the efficiency of food production is imminent. In recent years, many studies have been made on grain production efficiency in China and various regions by choosing different measurement methods from different perspectives. Based on the previous research, in this paper, judging from the reality of structural reform on the supply side of agriculture to the continuous advancement of urbanization and industrialization, the relevant urbanization and industrialization measurement indicators were finally selected based on the background of agricultural modernization development, and the grain structure and grain yield were included in the evaluation system, which expanded the research scope of production efficiency to some extent. Malmquist index and Tobit model were selected to analyze the grain production efficiency. Its influencing factors in Heilongjiang province based on panel data, so as to provide relevant suggestions for promoting the improvement of grain production efficiency and ensuring the stability and quality of grain production in Heilongjiang province. Pesticide consumption and urbanization rate had significant negative correlation with grain production efficiency, while the purity of chemical fertilizer, planting structure and grain yield had significant positive correlation with grain production efficiency.

KEYWORDS

Grain production efficiency, Total factor productivity, Influencing factors, Malmquist index, Tobit model

CITE THIS PAPER

Jinghong Zhao, Ping Lv, A Study on Grain Production Efficiency and Its Influencing Factors in Heilongjiang Province 'Based on Malmquist Index and Tobit Model' Based on the "COVID-19". Financial Engineering and Risk Management (2023) Vol. 6: 96-104. DOI: http://dx.doi.org/10.23977/ferm.2023.060314.

REFERENCES

[1] The Press Conference of the Outline of the 14th Five-Year Plan (2021-2025) for National Economic and Social Development and Vision 2035 of Heilongjiang Province (http://www.scio.gov.cn), 2021.
[2] Xu Tuantuan, He Jianwei, Wang Enhu, The Effect of Factor Agglomeration on Factor Efficiency of Three Major Areas in China, West China Finance .2013, (09): 30-33.
[3] Gao Zhan, Measurement and Evaluation of Total Factor Productivity in Chinese Cities, Business Economics Research .2016, (22): 130-132.
[4] Greene W H. On the asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model. Econometrica, 1981 (49): 505—513.
[5] Frenzen J K, H L Davis. Purchasing Behavior in Embedded Markets. Journal of Consumer Research, 1990, 17 (1): 1—12.
[6] Dynamic DEA: A slacks-based measure approach. Kaoru Tone, Miki Tsutsui. Omega. 2009 (3)
[7] Fan Xiao, Zhao Dan, New Professional Farmers Cultivation Diversity Demand and Policy Transformation from the Perspective of Lifelong Education "Based on Empirical Survey in Taibai County of Shaanxi Province", Vocational and Technical Education, 2015: Vol. 36, No. 28: 64-68.
[8] Ma Jianfu et al., Investigation and Development Suggestions on Current Situation of Vocational Education and Training of Left-Behind Farmers "Based on Survey in Jiangsu", Vocational & Technical Education Forum, 2016: No. 06: 50-59.
[9] Chen Juan, Wang Xuejiang, Analysis of Factors Affecting the Willingness of Large Grain Farmers to Participate in the Willingness of Training of New Professional Farmers "Based on the Empirical Study of 238 Farmers' Questionnaires in Chuzhou City", Farmers Science and Technology Training, 2016: No. 07: 31-34.

Sponsors, Associates, and Links

---

• Information Systems and Economics
  
  
• Accounting, Auditing and Finance
  
  
• Industrial Engineering and Innovation Management
  
  
• Tourism Management and Technology Economy
  
  
• Journal of Computational and Financial Econometrics
  
  
• Accounting and Corporate Management
  
  
• Social Security and Administration Management
  
  
• Population, Resources & Environmental Economics
  
  
• Statistics & Quantitative Economics
  
  
• Agricultural & Forestry Economics and Management
  
  
• Social Medicine and Health Management
  
  
• Land Resource Management
  
  
• Information, Library and Archival Science
  
  
• Journal of Human Resource Development
  
  
• Manufacturing and Service Operations Management
  
  
• Operational Research and Cybernetics