Skip to content
Research Article Open access CC BY 4.0

Exploring Regional Differences in China's New Agricultural Quality Productivity Forces

Wenpeng Huang, Chenglong Jiang, Chuanli Hang, Chengbai Zhao

Asian Research Journal of Agriculture · pp. 1143–1156 · Published 29 Dec 2024

10.9734/arja/2024/v17i4629

Abstract

This paper focuses on the connotation and characteristics of China's new agricultural quality productivity forces. By constructing an evaluation index system and applying the entropy method, the dynamic measurement of new agricultural quality productivity forces levels across 31 provinces from 2012 to 2022 is conducted. The kernel density estimation method is then used to analyze its spatiotemporal evolution characteristics. The study finds that China's new agricultural quality productivity forces generally show a trend of annual improvement, manifested in a steady increase in productivity levels and a gradual narrowing of regional disparities. However, there are still significant differences in the development speed and levels between regions, with the eastern region performing the best, the central region improving slowly, and the western region showing the smallest increase, with the lowest productivity levels and notable regional imbalance. Based on the research findings, this paper offers policy recommendations for promoting the development of new agricultural quality productivity forces: First, differentiated development strategies should be tailored to local conditions. The eastern region should continue to leverage its economic and technological advantages to promote agricultural digitization, intelligence, and green sustainable development. The central region should focus on enhancing agricultural infrastructure, optimizing industrial structures, and developing specialized high-value-added agriculture. The western region should strengthen policy support, improve infrastructure, and promote the dissemination of agricultural technologies.

New quality productive forces agricultural green development regional differences kernel density estimation dynamic evolution

References (9)

  1. 1 The Influence of New Quality Productive Forces on High-Quality Agricultural Development in China: Mechanisms and Empirical Testing [DOI]
  2. 2 A Study of the Impact of New Quality Productive Forces on Agricultural Modernization: Empirical Evidence from China [DOI]
  3. 3 Drivers and barriers to digital transformation in agriculture: An evolutionary game analysis based on the experience of China [DOI]
  4. 4 Climate change, soil water conservation, and productivity: Evidence from cocoa farmers in Ghana [DOI]
  5. 5 A pending task for the digitalisation of agriculture: A general framework for technologies classification in agriculture [DOI]
  6. 6 Trade-offs between higher productivity and lower environmental impacts for biodiversity-friendly and conventional cattle-oriented systems [DOI]
  7. 7 Spatiotemporal Evolution and Influencing Factors of New-Quality Productivity [DOI]
  8. 8 A system analysis to assess the effect of low-cost agricultural technologies on productivity, income and GHG emissions in mixed farming systems in southern Ethiopia [DOI]
  9. 9 Theoretical Thinking on the Development of New Quality Productive Forces According to Local Conditions in Heilongjiang Province [DOI]

Cited by 2

A Big Data-Driven Framework for Analyzing High-Quality Agricultural Development in China: A Computational Review Integrating Bibliometrics and Text Mining

Zengye Su, Yu-Dan Nie, Zhiyi Ye · Proceedings of the 2025 International Conference on Smart Agriculture and Artificial Intelligence · 2025

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Related research

Article metrics

Real usage data collected on this platform.

11

Page views

0

PDF downloads

1

Outbound clicks

2

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.