Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China
Abstract As a key commodity and strategic reserve grain base in China, evaluating and analyzing the high-quality agricultural development (HQAD) within Heilongjiang Province is crucial for advancing national agricultural quality. We construct a multidimensional evaluation framework with 19 indicator...
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2025-02-01
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author | Jingting Yu Guanghao Wu |
author_facet | Jingting Yu Guanghao Wu |
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description | Abstract As a key commodity and strategic reserve grain base in China, evaluating and analyzing the high-quality agricultural development (HQAD) within Heilongjiang Province is crucial for advancing national agricultural quality. We construct a multidimensional evaluation framework with 19 indicators across four dimensions: green agriculture, quality and efficiency improvement of supply, agricultural structural coordination, and shared benefits of development. Using the Entropy Weighted-TOPSIS model, Dagum’s Gini Coefficient, and the Markov chain, the study quantifies the HQAD in Heilongjiang from 2013 to 2022, examining regional disparities and development dynamics. The findings indicate that: (1) Heilongjiang’s overall HQAD has steadily improved, rising from 0.160 in 2013 to 0.396 in 2022, with an annual average growth rate of 10.595%. Agricultural structural coordination, growing at 2.160% annually, has become the primary constraint. (2) Spatial imbalances are evident. The 12 prefecture-level cities in the province are grouped into four regions based on agricultural endowments. Harbin and Qiqihar in the Songnen Plain, and Mudanjiang in the Mudanjiang Semi-mountainous Areas lead in HQAD, while cities in the Sanjiang Plain lag behind. Intra-regional disparities are narrowing in Sanjiang Plain and Xing’an Mountains Regions except the Songnen Plain (from 0.000 to 0.062 during 2013–2022), increasingly contributing to the overall disparity (from 15.717% to 30.065% during 2013–2022). Inter-regional disparities are decreasing, with their contribution declining from 80.769% in 2013 to 37.481% in 2022. (3) HQAD levels in cities exhibit low mobility, fluctuating between medium-low (57.993%) and medium-high (22.082%). Based on these findings, we recommend strengthening agricultural structural coordination, promoting coordinated HQAD tailored to local conditions, and pursing institutional breakthroughs. |
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spelling | doaj-art-21ec9c50b92f4091816eb3ab2b5830682025-02-09T12:32:18ZengNature PortfolioScientific Reports2045-23222025-02-0115111510.1038/s41598-025-89052-7Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of ChinaJingting Yu0Guanghao Wu1School of Management, Lanzhou UniversityFaculty of Applied Economics, University of Chinese Academy of Social SciencesAbstract As a key commodity and strategic reserve grain base in China, evaluating and analyzing the high-quality agricultural development (HQAD) within Heilongjiang Province is crucial for advancing national agricultural quality. We construct a multidimensional evaluation framework with 19 indicators across four dimensions: green agriculture, quality and efficiency improvement of supply, agricultural structural coordination, and shared benefits of development. Using the Entropy Weighted-TOPSIS model, Dagum’s Gini Coefficient, and the Markov chain, the study quantifies the HQAD in Heilongjiang from 2013 to 2022, examining regional disparities and development dynamics. The findings indicate that: (1) Heilongjiang’s overall HQAD has steadily improved, rising from 0.160 in 2013 to 0.396 in 2022, with an annual average growth rate of 10.595%. Agricultural structural coordination, growing at 2.160% annually, has become the primary constraint. (2) Spatial imbalances are evident. The 12 prefecture-level cities in the province are grouped into four regions based on agricultural endowments. Harbin and Qiqihar in the Songnen Plain, and Mudanjiang in the Mudanjiang Semi-mountainous Areas lead in HQAD, while cities in the Sanjiang Plain lag behind. Intra-regional disparities are narrowing in Sanjiang Plain and Xing’an Mountains Regions except the Songnen Plain (from 0.000 to 0.062 during 2013–2022), increasingly contributing to the overall disparity (from 15.717% to 30.065% during 2013–2022). Inter-regional disparities are decreasing, with their contribution declining from 80.769% in 2013 to 37.481% in 2022. (3) HQAD levels in cities exhibit low mobility, fluctuating between medium-low (57.993%) and medium-high (22.082%). Based on these findings, we recommend strengthening agricultural structural coordination, promoting coordinated HQAD tailored to local conditions, and pursing institutional breakthroughs.https://doi.org/10.1038/s41598-025-89052-7High-quality agricultural developmentRegional disparitiesDynamic evolution of distributionMajor grain-producing provincesHeilongjiang Province, China |
spellingShingle | Jingting Yu Guanghao Wu Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China Scientific Reports High-quality agricultural development Regional disparities Dynamic evolution of distribution Major grain-producing provinces Heilongjiang Province, China |
title | Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China |
title_full | Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China |
title_fullStr | Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China |
title_full_unstemmed | Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China |
title_short | Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China |
title_sort | spatial disparities and dynamics in the high quality agricultural development in heilongjiang province of china |
topic | High-quality agricultural development Regional disparities Dynamic evolution of distribution Major grain-producing provinces Heilongjiang Province, China |
url | https://doi.org/10.1038/s41598-025-89052-7 |
work_keys_str_mv | AT jingtingyu spatialdisparitiesanddynamicsinthehighqualityagriculturaldevelopmentinheilongjiangprovinceofchina AT guanghaowu spatialdisparitiesanddynamicsinthehighqualityagriculturaldevelopmentinheilongjiangprovinceofchina |