四川省花椒产业科技创新的时空演化特征

doi:10.3969/j.issn.1004-1524.20250069

浙江农业学报 ›› 2025, Vol. 37 ›› Issue (12): 2625-2641.DOI: 10.3969/j.issn.1004-1524.20250069

四川省花椒产业科技创新的时空演化特征

常洁(), 谢蕾, 林正雨, 郭耀辉, 杜兴端, 刘宗敏^*()

四川省农业科学院农业信息与农村经济研究所,四川成都 610066

收稿日期:2025-01-21 出版日期:2025-12-25 发布日期:2026-01-09
作者简介:常洁(1983—),女,山西运城人,硕士,副研究员,研究方向为乡村地理与可持续发展。E-mail:150467084@qq.com
通讯作者: *刘宗敏,E-mail:1766929@qq.com
基金资助:
国家社会科学基金(23XJY006);国家现代农业产业技术体系四川花椒创新团队项目(SCCXTD-2024-23);雅安创建国家现代农业产业科技创新中心“揭榜挂帅”农业科技项目(KCZX2023-2025-27)

Spatio-temporal evolution characteristics of scientific and technological innovation of Zanthoxylum bungeanum industry in Sichuan Province of China

CHANG Jie(), XIE Lei, LIN Zhengyu, GUO Yaohui, DU Xingduan, LIU Zongmin^*()

Agricultural Information and Rural Economy Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China

Received:2025-01-21 Online:2025-12-25 Published:2026-01-09

摘要/Abstract

摘要：

四川省是我国花椒生产第一大省,对其科技创新的演化趋势进行系统研究,对于推动四川省乃至西部地区花椒产业的高质量发展十分必要。基于1991—2022年的花椒专利数据,运用社会网络分析、探索性空间数据分析对四川省花椒产业科技创新的时空格局变化特征进行了研究。研究发现:1)科技创新呈典型的二阶段发展特征,2010年及之后专利数量快速增长,创新主体从个人向企业主导转变;2)产学研合作网络结构呈现低密度和无标度特征,规模小,主体间合作不紧密;3)技术创新链在2010—2022年呈上中下游全产业链拓展态势,但下游的食品工业领域仍居主导,服务于生产环节的技术创新仍处于起步阶段;4)创新规模大的地区长期以来由成都、雅安、绵阳领先,而创新水平高的地区则逐步从阿坝州、绵阳市、广安市等地转变为雅安、眉山、凉山州等地为引领;5)技术外溢明显的高-高(H-H)区域主要集中在成都平原经济区、凉山州西部、川南的自贡、泸州、宜宾部分区县,及川东北的南充、达州、广安部分区县,但数量呈下降趋势。

关键词: 花椒, 创新网络, 时空格局, 社会网络分析, 四川省

Abstract:

Sichuan is the largest province in the production of Zanthoxylum bungeanum in China, for Sichuan Province and even the western region, the study of the evolution trend of scientific and technological innovation is very conducive to promoting the high-quality development of the Z. bungeanum industry. Based on the patent data of Zanthoxylum bungeanum from 1991 to 2022, this paper used social network analysis and exploratory spatial data analysis to analyze the spatio-temporal evolution characteristics of scientific and technological innovation in Sichuan Province. The findings are as follows: 1) Technological innovation exhibits a typical two-stage development characteristic,since 2010, the number of patents increased rapidly, and the main body of innovation changed from individual to enterprise-led. 2) The scale of industry-university-research cooperation was small, the cooperation between subjects was not close, and the network structure showed the characteristics of low density and scale-free. 3) From 2010 to 2022, the technological innovation chain showed a trend of expansion of the upstream, midstream and downstream industrial chains, however, the food industry is still dominant, and the technological innovation serving the production of pepper is still in its infancy; 4) The regions with high innovation scale have long been led by Chengdu, Ya’an, and Mianyang, while high level innovation areas have gradually changed from Aba Prefecture, Mianyang City, Guang’an City and other places to Ya’an, Meishan, Liangshan Prefecture and other places to lead; 5) The obvious areas of technology spillover are mainly concentrated in the Chengdu Plain Economic Zone, the western part of Liangshan Prefecture, some districts and counties of Zigong, Luzhou and Yibin in southern Sichuan, and some districts and counties of Nanchong, Dazhou and Guang’an in northeastern Sichuan, however, the number of high-high(H-H) regions is on a downward trend.

Key words: Zanthoxylum bungeanum, innovation network, spatio-temporal pattern, social network analysis, Sichuan Province

中图分类号:

常洁, 谢蕾, 林正雨, 郭耀辉, 杜兴端, 刘宗敏. 四川省花椒产业科技创新的时空演化特征[J]. 浙江农业学报, 2025, 37(12): 2625-2641.

CHANG Jie, XIE Lei, LIN Zhengyu, GUO Yaohui, DU Xingduan, LIU Zongmin. Spatio-temporal evolution characteristics of scientific and technological innovation of Zanthoxylum bungeanum industry in Sichuan Province of China[J]. Acta Agriculturae Zhejiangensis, 2025, 37(12): 2625-2641.

图/表 14

参考文献 37

[1]	李晓莉, 黄登艳, 刁英. 中国花椒产业发展现状[J]. 湖北林业科技, 2020, 49(1): 44-48.
	LI X L, HUANG D Y, DIAO Y. Development status of Zanthoxylum bungeanum Maxim industry in China[J]. Hubei Forestry Science and Technology, 2020, 49(1): 44-48. (in Chinese with English abstract)
[2]	蓝勇. 中国古代辛辣用料的嬗变、流布与农业社会发展[J]. 中国社会经济史研究, 2000(4): 1-23.
	LAN Y. Evolution, distribution and agricultural social development of spicy materials in ancient China[J]. The Journal of Chinese Social and Economic History, 2000(4): 13-23. (in Chinese)
[3]	蓝勇. 中国饮食辛辣口味的地理分布及其成因研究[J]. 地理研究, 2001, 20(2): 229-237.
	LAN Y. The reasons and distribution of pungent flavour districts in China’s dietetics[J]. Geographical Research, 2001, 20(2): 229-237. (in Chinese with English abstract)
[4]	叶萌. 四川花椒产业发展现状及展望[J]. 中国农村科技, 2020(9): 70-73.
	YE M. Present situation and prospect of Sichuan pepper industry development[J]. China Rural Science & Technology, 2020(9): 70-73. (in Chinese)
[5]	张祺云, 庞显莲, 李德荣, 等. 四川花椒常见栽培品种的特性与分布[J]. 中国西部科技, 2011, 10(35): 43.
	ZHANG Q Y, PANG X L, LI D R, et al. Characteristics and distribution of common cultivated varieties of Zanthoxylum bungeanum in Sichuan[J]. Science and Technology of West China, 2011, 10(35): 43. (in Chinese)
[6]	张国桢, 邓振义. 花椒生理特点及栽培要点[J]. 杨凌职业技术学院学报, 2005, 4(3): 15-18.
	ZHANG G Z, DENG Z Y. Physiological characteristics of Znathoxylum bungeanan and main points for cultivation[J]. Journal of Yangling Vocational & Technical College, 2005, 4(3): 15-18. (in Chinese with English abstract)
[7]	刘安成, 尉倩, 崔新爱, 等. 花椒采收现状及研究进展[J]. 中国农机化学报, 2019, 40(3): 84-87.
	LIU A C, YU Q, CUI X A, et al. Current situation and research progress on fruit picking of Zanthoxylum bungeanum Maxim[J]. Journal of Chinese Agricultural Mechanization, 2019, 40(3): 84-87. (in Chinese with English abstract)
[8]	董霖, 王爽, 欧阳锐凌, 等. 网带式花椒干燥机流场模拟与结构优化[J]. 农业机械学报, 2023, 54(S1): 373-380.
	DONG L, WANG S, OUYANG R L, et al. Flow field simulation and structural optimization of mesh-belt pepper drying machine[J]. Transactions of the Chinese Society for Agricultural Machinery, 2023, 54(S1): 373-380. (in Chinese with English abstract)
[9]	李瑞, 武逸凡, 李守太, 等. 基于ANSYS Workbench和ADAMS的振动式花椒采摘机仿真分析及参数优化[J]. 西南大学学报(自然科学版), 2021, 43(12): 57-66.
	LI R, WU Y F, LI S T, et al. Simulation analysis and parameter optimization of a prickly ash vibration picker based on ANSYS workbench and ADAMS[J]. Journal of Southwest University (Natural Science), 2021, 43(12): 57-66. (in Chinese with English abstract)
[10]	李秋生, 李成松, 王丽红, 等. 基于下桩采摘的干后青花椒脱粒装置研究[J]. 中国农机化学报, 2023, 44(3): 108-116.
	LI Q S, LI C S, WANG L H, et al. Research on threshing device of dried green Zanthoxylum based on branch picking[J]. Journal of Chinese Agricultural Mechanization, 2023, 44(3): 108-116. (in Chinese with English abstract)
[11]	IVANE N M A, HARUNA S A, ZEKRUMAH M, et al. Composition, mechanisms of tingling paresthesia, and health benefits of Sichuan pepper: a review of recent progress[J]. Trends in Food Science & Technology, 2022, 126: 1-12.
[12]	潘佳慧, 吕南, 胡君景, 等. 花椒指纹图谱的研究进展[J]. 食品安全质量检测学报, 2023, 14(8): 179-186.
	PAN J H, LV N, HU J J, et al. Research progress on fingerprint of Zanthoxylum bungeanum[J]. Journal of Food Safety & Quality, 2023, 14(8): 179-186. (in Chinese with English abstract)
[13]	余晓琴, 郑显义, 阚建全, 等. 红花椒和青花椒主要品质特征指标值的评价[J]. 食品科学, 2009, 30(15): 45-48.
	YU X Q, ZHENG X Y, KAN J Q, et al. Evaluation of specific quality of Zanthoxylum bungeanum Maxim and Zanthoxylum schinifolium Sieb. et Zucc[J]. Food Science, 2009, 30(15): 45-48. (in Chinese with English abstract)
[14]	张萨, 蒋文兵, 吕永霞, 等. 不同产地花椒挥发性成分分析及开发效益研究[J]. 中国调味品, 2023, 48(7): 186-189, 195.
	ZHANG S, JIANG W B, LYU Y X, et al. Analysis of volatile components of Zanthoxylum bungeanum from different places of origin and study on development benefits[J]. China Condiment, 2023, 48(7): 186-189, 195. (in Chinese with English abstract)
[15]	罗凯, 朱琳, 阚建全, 等. 不同产地青花椒和红花椒挥发油的比较研究[J]. 食品工业科技, 2012, 33(18): 103-106.
	LUO K, ZHU L, KAN J Q, et al. Comparative study of the essential oil content of Zanthoxylum schinifolium Sieb.et Zucc and Zanthosylum bungeanum Maxim from different producing areas[J]. Science and Technology of Food Industry, 2012, 33(18): 103-106. (in Chinese with English abstract)
[16]	李亚南, 葛国琴, 陈江琳, 等. 不同省份花椒的脂肪酸组成及相似性分析[J]. 食品研究与开发, 2023, 44(16): 167-176.
	LI Y N, GE G Q, CHEN J L, et al. Fatty acid composition and similarity analysis of Zanthoxylum bungeanum from different Chinese provinces[J]. Food Research and Development, 2023, 44(16): 167-176. (in Chinese with English abstract)
[17]	毕君, 曹福亮. 花椒属植物化学有效成分与开发利用研究进展[J]. 林业科技开发, 2008(3): 9-13.
	BI J, CAO F L. Research progress on chemical effective components and development and utilization of Zanthoxylum[J]. China Forestry Science and Technology, 2008(3): 9-13. (in Chinese)
[18]	孟杰, 彭伟, 吴修亿, 等. 花椒全产业链关键技术创新及应用展望[J]. 亚太传统医药, 2023, 19(9): 5-9.
	MENG J, PENG W, WU X Y, et al. Prospects for key technological innovations and applications in the whole industrial chain of Sichuan peppercorn[J]. Asia-Pacific Traditional Medicine, 2023, 19(9): 5-9. (in Chinese with English abstract)
[19]	袁先荣, 聂勋杰. 江津花椒产业化的方略[J]. 农村实用工程技术(农业产业化), 2005(5): 25-26.
	YUAN X R, NIE X J. General plan of pepper industrialization in Jiangjin[J]. Practical Engineering Technology in Rural Areas (Agricultural Industrialization), 2005(5): 25-26. (in Chinese)
[20]	马君义, 张继, 冯洋洋, 等. 甘肃花椒产业发展现状及对策分析[J]. 安徽农业科学, 2011, 39(16): 10055-10057.
	MA J Y, ZHANG J, FENG Y Y, et al. Analysis on industry developing situation and strategies of Zanthoxylum bunlzeanum in Gansu[J]. Journal of Anhui Agricultural Sciences, 2011, 39(16): 10055-10057. (in Chinese)
[21]	王丽华, 赵卫红, 彭晓曦, 等. 四川花椒产业发展现状及对策分析研究[J]. 四川林业科技, 2018, 39(2): 50-55.
	WANG L H, ZHAO W H, PENG X X, et al. Research on the development situation and countermeasures of Zanthoxylum industry in Sichuan[J]. Journal of Sichuan Forestry Science and Technology, 2018, 39(2): 50-55. (in Chinese with English abstract)
[22]	谷丽萍, 郭永清, 陆斌, 等. 云南花椒产业转型发展的路径研究[J]. 西部林业科学, 2023, 52(6): 165-170.
	GU L P, GUO Y Q, LU B, et al. Study on the path of transformation and upgrading development of Yunnan pepper industry[J]. Journal of West China Forestry Science, 2023, 52(6): 165-170. (in Chinese)
[23]	BAO Y C, YANG L, FU Q W, et al. The current situation of Zanthoxylum bungeanum industry and the research and application prospect: a review[J]. Fitoterapia, 2023, 164: 105380.
[24]	任媛媛, 翟晓巧, 张晨. 我国花椒产业发展现状及存在问题和发展前景[J]. 河南林业科技, 2020, 40(4): 31-34.
	REN Y Y, ZHAI X Q, ZHANG C. Development status, problems and prospects of Zanthoxylum bungeanum industry in China[J]. Journal of Henan Forestry Science and Technology, 2020, 40(4): 31-34. (in Chinese with English abstract)
[25]	李后强. 四川是花椒原产地[J]. 当代县域经济, 2018(5): 12-19.
	LI H Q. Sichuan is the origin of pepper[J]. Contemporary County Economy, 2018(5): 12-19. (in Chinese)
[26]	陈在辉. 我国花椒产业发展现状及未来发展前景[J]. 现代园艺, 2022, 45(8): 16-18.
	CHEN Z H. Present situation and future development prospect of pepper industry in China[J]. Contemporary Horticulture, 2022, 45(8): 16-18. (in Chinese)
[27]	吕丹, 王等. “成渝城市群”创新网络结构特征演化及其协同创新发展[J]. 中国软科学, 2020(11): 154-161.
	LV D, WANG D. Research on the evolution of innovation network structure characteristics and coordination development of “Chengdu-Chongqing urban agglomeration”[J]. China Soft Science, 2020(11): 154-161. (in Chinese with English abstract)
[28]	付伟, 胡乐祥, 罗明灿, 等. 西部地区农业碳排放空间关联网络特征研究[J]. 中国农业资源与区划, 2024, 45(7): 3-11.
	FU W, HU Y X, LUO M C, et al. Spatial correlation network characteristics of agricultural carbon emissions in western China[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2024, 45(7): 3-11. (in Chinese with English abstract)
[29]	杨波, 高小莉. 中国—东盟科研合作网络与主题演化特征[J]. 地域研究与开发, 2023, 42(6): 1-6.
	YANG B, GAO X L. Characteristics of network and theme evolution of China-ASEAN scientific research cooperation[J]. Areal Research and Development, 2023, 42(6): 1-6. (in Chinese with English abstract)
[30]	王丹, 赵新力, 张翔玮, 等. 农业科技协同创新网络的理论模型、结构特征与优化对策研究[J]. 中国科技论坛, 2023(9): 163-175.
	WANG D, ZHAO X L, ZHANG X W, et al. Research on theoretical model, structural characteristics and optimization strategies of collaborative innovation network of China’s agricultural science and technology[J]. Forum on Science and Technology in China, 2023(9): 163-175. (in Chinese with English abstract)
[31]	毛云莹, 陆伟. 基于IPC关联的专利技术和产业双向分析框架研究[J]. 情报科学, 2022, 40(4): 33-39.
	MAO Y Y, LU W. The bilateral analysis framework of patented technology and industry based on IPC association[J]. Information Science, 2022, 40(4): 33-39. (in Chinese with English abstract)
[32]	叶雷, 曹贤忠, 宓泽锋, 等. 中国高校技术转移网络的时空特征及影响因素: 基于高校-城市二模网络视角[J]. 地理研究, 2023, 42(1): 69-85.
	YE L, CAO X Z, MI Z F, et al. Spatiotemporal dynamic and influencing mechanism of university technology transfer network in China: a university-city bipartite network perspective[J]. Geographical Research, 2023, 42(1): 69-85. (in Chinese with English abstract)
[33]	赵蓉英, 李新来, 李丹阳. 高校新媒体信息传播网络结构及其演化特征[J]. 情报科学, 2022, 40(6): 3-11.
	ZHAO R Y, LI X L, LI D Y. Structure and evolution feature on information transmission network of university new media[J]. Information Science, 2022, 40(6): 3-11. (in Chinese with English abstract)
[34]	王志如, 张满银. 北京地铁网络时空演化特征评估及演化机制[J]. 经济地理, 2021, 41(4): 48-56.
	WANG Z R, ZHANG M Y. Spatio-temporal evolution characteristics of Beijing subway network and its evolution mechanism[J]. Economic Geography, 2021, 41(4): 48-56. (in Chinese with English abstract)
[35]	埃里克·D·克拉泽克, 加博尔·乔尔迪. 网络数据的统计分析: R语言实践[M]. 李杨, 译. 西安: 西安交通大学出版社, 2016.
[36]	宋旭妍, 彭甜甜, 张高军. 粤港澳大湾区水路客运网络特征[J]. 热带地理, 2022, 42(2): 247-255.
	SONG X Y, PENG T T, ZHANG G J. The waterage passenger transportation network in the Guangdong-Hong Kong-Macao Greater Bay Area[J]. Tropical Geography, 2022, 42(2): 247-255. (in Chinese with English abstract)
[37]	谢伟伟, 邓宏兵, 苏攀达. 长江中游城市群知识创新合作网络研究: 高水平科研合著论文实证分析[J]. 科技进步与对策, 2019, 36(16): 44-50.
	XIE W W, DENG H B, SU P D. Research on knowledge innovation cooperation network in the middle reaches of the Yangtze River: evidence from high-level scientific research co-author papers[J]. Science & Technology Progress and Policy, 2019, 36(16): 44-50. (in Chinese with English abstract)

指标 Index	网络规模 Network scale	网络关系数 Number of network relationships	平均路径长度 Average path length	平均聚类系数 Average clustering coefficient
现实网络Reality Network	150	108	2.583	0.330
随机网络Random network	150	108	7.596	0.010

指标 Index	网络规模 Network scale	网络关系数 Number of network relationships	平均路径长度 Average path length	平均聚类系数 Average clustering coefficient
现实网络Reality Network	150	108	2.583	0.330
随机网络Random network	150	108	7.596	0.010

主体 Subject	阶段 Stage	中心性 Centrality	总数 Total	最大值 Maximum	最小值 Minimum	中位数 Median	平均值 Mean	标准差 Standard deviation	变异系数 Coefficient of variation
机构	1991—2009	C_D	222	22	1	4	5.550	4.555	0.821
Institution		C_W	345	30	1	4	8.625	8.203	0.951
	2010—2022	C_D	5 404	112	1	5	7.676	9.181	1.196
		C_W	11 587	461	1	6	16.459	34.025	2.067
产业Industry	1991—2009	C_D	222	26	1	2	2.96	3.835	1.296
		C_W	345	46	1	2	4.6	6.673	1.451
	2010—2022	C_D	5 404	468	1	4.5	18.013	41.767	2.319
		C_W	11 587	1 572	1	8	38.623	123.206	3.190

主体 Subject	阶段 Stage	中心性 Centrality	总数 Total	最大值 Maximum	最小值 Minimum	中位数 Median	平均值 Mean	标准差 Standard deviation	变异系数 Coefficient of variation
机构	1991—2009	C_D	222	22	1	4	5.550	4.555	0.821
Institution		C_W	345	30	1	4	8.625	8.203	0.951
	2010—2022	C_D	5 404	112	1	5	7.676	9.181	1.196
		C_W	11 587	461	1	6	16.459	34.025	2.067
产业Industry	1991—2009	C_D	222	26	1	2	2.96	3.835	1.296
		C_W	345	46	1	2	4.6	6.673	1.451
	2010—2022	C_D	5 404	468	1	4.5	18.013	41.767	2.319
		C_W	11 587	1 572	1	8	38.623	123.206	3.190

上游Upstream		下游Downstream
主行业 Main industry	比重 Ratio/%	主行业 Main industry	细分行业 Sub-industry	比重 Ratio/%
专用设备修理 Repair of special equipment(C4330)	5.68	农副食品加工业 Agricultural and sideline food processing industry(C13)	谷物磨制Grain milling (C1311、C1312、C1313、C1314、C1319)	12.16
			植物油加工Vegetable oil processing(C1331、C1332)	3.24
			肉制品与副产品加工 Processing of meat products and by-products(C1353)	12.43
			水产品加工Aquatic product processing(C1363)	1.62
			淀粉与豆制品制造 Manufacture of starch and soy products(C1391)	1.35
		食品制造业 Food manufacturing industry(C14)	肉、禽类罐头制造 Manufacture of canned meat and poultry(C1451)	7.03
			营养食品制造Manufacture of nutritious foods(C1491)	6.76
		石油、煤炭及其他燃料加工业 Petroleum, coal and other fuel processing industries (C25)	生物质液体燃料加工 Biomass liquid fuel processing(C2541)	1.35
		化学原料和化学制品制造业 Manufacturing industry of chemical raw materials and chemical products (C26)	香料、香精制造 Manufacture of spices and flavors(C2684)	1.35
		医药制造业 Pharmaceutical manufacturing industry (C27)	中药饮片加工 Processing of traditional Chinese medicine decoction pieces(C2730)	5.68
			中成药生产 Production of proprietary Chinese medicines(C2740)	4.05
			兽用药品制造Manufacture of veterinary drugs(C2750)	2.97
		橡胶和塑料制品业 Rubber and plastic products industry(C29)	塑料包装箱与容器制造 Manufacture of plastic boxes and containers(C2976)	1.35
		非金属矿物制造业 Non-metallic mineral manufacturing industry (C30)	玻璃包装容器与材料制造 Manufacture of glass packaging containers and materials(C3055)	1.35
		金属制品业 Metal products industry(C33)	金属包装容器与材料制造 Manufacture of metal packaging containers and materials(C3333)	1.35
			搪瓷日用品与其他制品制造 Manufacture of enamel daily necessities and other products(C3379)	1.35
		通用设备制造业 General equipment manufacturing industry (C35)	气液体分离与纯净设备制造 Manufacture of gas-liquid separation and purification equipment (C3463)	1.35

四川省花椒产业科技创新的时空演化特征

Spatio-temporal evolution characteristics of scientific and technological innovation of Zanthoxylum bungeanum industry in Sichuan Province of China

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 37

相关文章 3

编辑推荐

Metrics

本文评价

市(州) City and prefecture	专利数量Number of patents
市(州) City and prefecture	1991—2009	2010—2022	合计Total
成都Chengdu	136	1 514	1 650
雅安Ya’an	14	189	203
绵阳Mianyang	13	153	166
眉山Meishan	9	148	157
宜宾Yibin	4	161	165
凉山Liangshan	5	101	106
自贡Zigong	12	99	111
德阳Deyang	16	84	100
达州Dazhou	2	98	100
南充Nanchong	11	86	97
遂宁Suining	7	83	90
泸州Luzhou	4	82	86
巴中Bazhong	1	47	48
资阳Ziyang	3	60	63
广安Guang’an	2	53	55
攀枝花Panzhihua	4	48	52
广元Guangyuan	6	33	39
乐山Leshan	6	33	39
内江Neijaing	6	31	37
阿坝Aba	2	30	32
甘孜Ganzi	1	14	15

年份 Year	空间权重矩阵Spatial weight matrix
年份 Year	W₁	W₂	W₃
2010	-0.017	0.050^***	0.336^***
2011	0.026	0.042^***	0.085
2012	-0.019	0.047^***	0.053
2013	0.016	0.100^***	0.132^*
2014	-0.026	0.070^***	0.239^***
2015	0.011	0.054^***	0.195^***
2016	0.013	0.085^***	0.291^***
2017	-0.023	0.080^***	0.299^***
2018	0.034	0.069^***	0.230^***
2019	0.016	0.061^***	0.237^***
2020	-0.026	0.059^***	0.125^*
2021	-0.019	0.089^***	0.287^***
2022	0.008	0.057^***	0.316^***

经济区 Economic Zone	市(州) City and prefecture	2010				2015				2022
经济区 Economic Zone	市(州) City and prefecture	H-H	H-L	L-L	L-H	H-H	H-L	L-L	L-H	H-H	H-L	L-L	L-H
成都平原经济区	成都Chengdu	13	5	1	1	14	4		2	12	6	1	1
Chengdu Plain	德阳Deyang	4		2		3	1		2	3	1	2
Economic Zone	绵阳Mianyang	5	3	1		5	3		1	4	4		1
	眉山Meishan	2	1	3		1	2	1	2	2	1	2	1
	雅安Ya’an	2		6		1	1	4	2	1	1	4	2
	资阳Ziyang	1	2			2	1			2	1
	乐山Leshan	2		9		1	1	7	2	1	1	9
	遂宁Suining	2	1	1	1	2	1	1	1	1	2	1	1
川南经济区	宜宾Yibin	5		5		4	1	5		3	2	5
Southern Sichuan	泸州Luzhou	2		5			2	2	3	1	1	4	1
Economic Zone	内江Neijaing		2	2	1	2		1	2		2	2	1
	自贡Zigong	2	2	2		1	3		2	4		2
川东北经济区	广元Guangyuan			7				4	3			4	3
Northeastern Sichuan	达州Dazhou	6		1		2	4	1		4	2		1
Economic Zone	南充Nanchong	3	1	4	1	1	3	2	3		4	2	3
	巴中Bazhong	2		3		1	1	1	2	1	1	2	1
	广安Guang’an	3		3		3		1	2	2	1	2	1
攀西经济区	攀枝花Panzhihua	2		3		2		3		2		2	1
Panxi Economic Zone	凉山Liangshan	3		14		2	1	14		1	2	12	2
川西北经济区	阿坝Aba			10	3			11	2			11	2
Northwestern Sichuan	甘孜Ganzi			17	4			14	4			14	4
Economic Zone
合计Total		59	17	99	8	47	29	72	35	44	32	81	26

[1]	祁慧博, 季鹏, 郑巧儿, 赵婧, 龙飞. 中国农村居民食物消费碳足迹的时空格局与驱动因素[J]. 浙江农业学报, 2025, 37(9): 1991-2002.
[2]	赵吉桃, 何静, 丁德东, 李彦湘, 候彩霞, 赵倩. 花椒流胶病拮抗菌的分离鉴定及其生防机制[J]. 浙江农业学报, 2024, 36(2): 373-382.
[3]	曾宪平;何芳;吕建群;陈林. 2001—2010年四川省杂交水稻审定品种的分析[J]. , 2012, 24(3): 0-367.

市(州) City and prefecture	均值Mean			中位数Median
市(州) City and prefecture	1991—2009	2010—2022	趋势Trend	1991—2009	2010—2022	趋势Trend
阿坝Aba	7.50	4.47	↓	7.50	4.00	↓
巴中Bazhong	4.00	5.00	↑	4.00	4.00	→
成都Chengdu	5.64	5.29	↓	5.00	5.00	→
达州Dazhou	7.00	5.29	↓	7.00	5.00	↓
德阳Deyang	5.25	5.01	↓	5.00	4.00	↓
甘孜Ganzi	5.00	3.36	↓	5.00	3.50	↓
广安Guang’an	7.00	5.28	↓	7.00	5.00	↓
广元Guangyuan	6.83	3.85	↓	6.50	4.00	↓
乐山Leshan	7.00	4.58	↓	7.00	4.00	↓
凉山Liangshan	6.20	5.68	↓	7.00	5.00	↓
泸州Luzhou	5.25	3.73	↓	6.00	4.00	↓
眉山Meishan	6.56	6.16	↓	6.00	6.00	→
绵阳Mianyang	7.23	5.50	↓	7.00	5.00	↓
南充Nanchong	5.36	5.02	↓	5.00	5.00	→
内江Neijaing	5.33	4.58	↓	5.00	5.00	→
攀枝花Panzhihua	4.50	4.52	↓	4.50	4.00	↓
遂宁Suining	6.29	5.57	↓	5.00	5.00	→
雅安Ya’an	4.36	6.03	↑	4.00	7.00	↑
宜宾Yibin	4.25	5.02	↑	4.50	4.00	↓
资阳Ziyang	6.00	5.35	↓	6.00	5.00	↓
自贡Zigong	5.42	4.65	↓	6.00	4.00	↓
四川省	5.81	5.25	↓	5.00	5.00	→

市(州) City and prefecture	均值Mean			中位数Median
市(州) City and prefecture	1991—2009	2010—2022	趋势Trend	1991—2009	2010—2022	趋势Trend
阿坝Aba	7.50	4.47	↓	7.50	4.00	↓
巴中Bazhong	4.00	5.00	↑	4.00	4.00	→
成都Chengdu	5.64	5.29	↓	5.00	5.00	→
达州Dazhou	7.00	5.29	↓	7.00	5.00	↓
德阳Deyang	5.25	5.01	↓	5.00	4.00	↓
甘孜Ganzi	5.00	3.36	↓	5.00	3.50	↓
广安Guang’an	7.00	5.28	↓	7.00	5.00	↓
广元Guangyuan	6.83	3.85	↓	6.50	4.00	↓
乐山Leshan	7.00	4.58	↓	7.00	4.00	↓
凉山Liangshan	6.20	5.68	↓	7.00	5.00	↓
泸州Luzhou	5.25	3.73	↓	6.00	4.00	↓
眉山Meishan	6.56	6.16	↓	6.00	6.00	→
绵阳Mianyang	7.23	5.50	↓	7.00	5.00	↓
南充Nanchong	5.36	5.02	↓	5.00	5.00	→
内江Neijaing	5.33	4.58	↓	5.00	5.00	→
攀枝花Panzhihua	4.50	4.52	↓	4.50	4.00	↓
遂宁Suining	6.29	5.57	↓	5.00	5.00	→
雅安Ya’an	4.36	6.03	↑	4.00	7.00	↑
宜宾Yibin	4.25	5.02	↑	4.50	4.00	↓
资阳Ziyang	6.00	5.35	↓	6.00	5.00	↓
自贡Zigong	5.42	4.65	↓	6.00	4.00	↓
四川省	5.81	5.25	↓	5.00	5.00	→