|Table of Contents|

Spatiotemporal Characteristics and Influencing Factors of Tourism Equipment Manufacturing Enterprises in Jiangsu Province(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2024年03期
Page:
42-52
Research Field:
地理学
Publishing date:

Info

Title:
Spatiotemporal Characteristics and Influencing Factors of Tourism Equipment Manufacturing Enterprises in Jiangsu Province
Author(s):
Yang Yan1; Ge Junlian2; Ding Zhengshan2; Shao Haiyan2
(1.School of Economics and Management,Nanjing Vocational University of Industry Technology,Nanjing 210023,China)
(2.School of Geography,Nanjing Normal University,Nanjing 210023,China)
Keywords:
tourism equipment manufacturing; spatiotemporal characteristics; influencing factors; Jiangsu Province
PACS:
F590.65
DOI:
10.3969/j.issn.1001-4616.2024.03.006
Abstract:
Tourism equipment is an important factor for the high-quality development of tourism industry. On the basis of constructing the classification framework of tourism equipment,this paper constructs a database based on the data of 4 315 tourism equipment manufacturing enterprises in Jiangsu Province,and uses kernel density analysis,average nearest proximity index,exploring spatial data analysis and geographical detector to explore the spatiotemporal distribution characteristics and influencing factors of tourism equipment manufacturing enterprises in Jiangsu Province from 1983 to 2023. The research finds that:(1)The development process of enterprises can be divided into initial development stage,fluctuation rising stage and high-speed growth stage. Southern Jiangsu and Northern Jiangsu showed high agglomeration areas in different periods.(2)The overall spatial characteristics of enterprises are “dense in the south and sparse in the north”,which is highly consistent with the degree of regional economic development. With Nanjing and Suzhou as the cores,various types of enterprises have formed a process of continuous agglomeration development from Southern Jiangsu to Northern Jiangsu,and the agglomeration intensity has increased significantly.(3)The spatial agglomeration of enterprises has not yet shown geographical proximity and dependence,forming an isolated development pattern. The spatial correlation is dominated by “LH” type and “LL” type,and the spatial heterogeneity decreases with the evolution of time.(4)Enterprises are affected by multiple factors,among which the level of tourist attractions has the most significant impact. The two-factor enhancement is significant among the influencing factors,but the interaction of each dimension influencing factor is obviously different.

References:

[1]耿松涛,杨晶晶. 中国旅游装备制造业低端锁定的作用机制及突破路径研究[J]. 学习与探索,2020(4):130-136.
[2]宋昌耀,厉新建,殷婷婷,等. 中国冰雪装备制造企业的时空特征及其区位选择影响因素[J]. 地理研究,2023,42(4):1070-1087.
[3]李柏文. 旅游制造业概念辨析及其培育与发展研究:以京津冀地区为例[J]. 经济问题探索,2014(3):186-190.
[4]耿松涛,彭建. 产业融合背景下的中国旅游装备制造业产业集群发展研究[J]. 经济问题探索,2013(11):44-49.
[5]李健,闫永蚕. 中国装备制造业综合发展能力评价与时空演变特征[J]. 统计与决策,2021,37(20):95-99.
[6]边伟军,解文文,付雯雯. 轨道交通装备制造业创新组织演进机理研究[J]. 中国科技论坛,2024(2):105-117.
[7]杨瑾,王一辰. 装备制造业智能化转型升级影响因素及作用机理[J]. 科学学研究,2023,41(5):807-817.
[8]冀刚,黄继忠. 外部性、产业结构与产业增长:来自中国装备制造业省级面板数据的门槛效应分析[J]. 上海经济研究,2018(2):37-52.
[9]贺子欣,惠宁. 中国装备制造业高质量发展的测度及影响因素研究[J]. 中国科技论坛,2023(4):82-92.
[10]OPACI AN'G1 SKI K. Perspectives of the development of motorboat tourism on Polish rivers[J]. Vistula scientific quarterly,2018,58(4):267-285.
[11]LEE Y J,SONG Y M. A study on the development strategy of Jeju marine leisure equipment industry[J]. Journal of fisheries and marine sciences education,2012,24(2):286-301.
[12]耿松涛,杨晶晶,廖雪林. 多重约束下中国旅游装备制造业自主创新发展的动力机制与提升路径研究[J]. 科技促进发展,2020,16(5):484-490.
[13]耿松涛,阳淑芬. 中国旅游装备制造业价值链升级策略[J]. 学术交流,2015(9):139-143.
[14]袁文华,李建春,秦晓楠,等. 基于FCS框架的城市文化产业景观生态特征及网络关联[J]. 地理科学进展,2020,39(3):474-487.
[15]袁海红,吴丹丹,马仁锋,等. 杭州文化创意产业集聚与城市建成环境场耦合性[J]. 经济地理,2018,38(11):123-132.
[16]张丽,韩增林. 大连市文化企业的空间分布变化与区位影响因素[J]. 地理科学,2020,40(4):665-673.
[17]马斌斌,陈兴鹏,陈芳婷,等. 中华老字号企业空间分异及影响因素研究[J]. 地理研究,2020,39(10):2313-2329.
[18]王劲峰,徐成东. 地理探测器:原理与展望[J]. 地理学报,2017,72(1):116-134.
[19]穆学青,郭向阳,明庆忠. 边境地区旅游强度时空演化特征分析[J]. 经济地理,2019,39(1):233-240.
[20]刘丹,马斌斌,喻敏,等. 数字文旅企业时空格局演化及区位选择影响机理:以西安市为例[J]. 干旱区资源与环境,2024,38(2):190-199.
[21]王成刚,石春生,孙红烈. 中国高端装备制造企业组织创新的影响因素[J]. 科技管理研究,2017,37(15):164-169.
[22]秦宇,姜姗姗,张壮,等. 互联网旅游企业创业机会来源及其识别影响因素:一个多案例研究[J]. 旅游学刊,2021,36(1):69-86.
[23]邵海雁,靳诚,陆玉麒,等. 长江经济带虚拟旅游流对高铁建设的响应格局及其驱动机理[J]. 地理研究,2024,43(3):791-808.
[24]丁建军,刘贤,王淀坤,等. 国家级专精特新“小巨人”企业空间分布及其影响因素[J]. 经济地理,2022,42(10):109-118.

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Last Update: 2024-09-15