{"title":"黑龙江省农业高质量发展的空间分异与动态","authors":"Jingting Yu, Guanghao Wu","doi":"10.1038/s41598-025-89052-7","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"4765"},"PeriodicalIF":3.9000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11807161/pdf/","citationCount":"0","resultStr":"{\"title\":\"Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China.\",\"authors\":\"Jingting Yu, Guanghao Wu\",\"doi\":\"10.1038/s41598-025-89052-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":21811,\"journal\":{\"name\":\"Scientific Reports\",\"volume\":\"15 1\",\"pages\":\"4765\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11807161/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Reports\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41598-025-89052-7\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-89052-7","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China.
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.
期刊介绍:
We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections.
Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021).
•Engineering
Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live.
•Physical sciences
Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics.
•Earth and environmental sciences
Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems.
•Biological sciences
Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants.
•Health sciences
The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.