PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (5): 721-735.doi: 10.18306/dlkxjz.2021.05.001
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JIANG Haibing1(), LI Yejin2,*(
)
Received:
2020-06-19
Revised:
2020-12-14
Online:
2021-05-28
Published:
2021-07-28
Contact:
LI Yejin
E-mail:haibingjiang1@163.com;plansky@qq.com
Supported by:
JIANG Haibing, LI Yejin. Change of spatial structure of manufacturing industry in the Beijing-Tianjin-Hebei region and its driving factors[J].PROGRESS IN GEOGRAPHY, 2021, 40(5): 721-735.
Tab.1
Classification of the manufacturing industry by degree of factor intensity and industrial code
行业类型 | 包含行业及其代码 |
---|---|
劳动密集型产业 | 13. 农副食品加工业,14. 食品制造业,15. 酒、饮料和精制茶制造业,16. 烟草制品业,17. 纺织业,18. 纺织服装、服饰业,19. 皮革、毛皮、羽毛及其制品和制鞋业,20. 木材加工和木、竹、藤、草制品业,21. 家具制造业,22. 造纸和纸制品业, 23. 印刷和记录媒介复制业,24. 文教、工美、体育和娱乐用品制造业,41. 其他制造业,42. 废弃资源综合利用业 |
资本密集型产业 | 25. 石油、煤炭及其他燃料加工业,26. 化学原料和化学制品制造业,28. 化学纤维制造业,29. 橡胶和塑料制品业,30. 非金属矿物制品业,31. 黑色金属冶炼和压延加工业,32. 有色金属冶炼和压延加工业,33. 金属制品业 |
技术密集型产业 | 27. 医药制造业,34. 通用设备制造业,35. 专用设备制造业,36. 汽车制造业,37. 铁路、船舶、航空航天和其他运输设备制造业,38. 电气机械和器材制造业,39. 计算机、通信和其他电子设备制造业,40. 仪器仪表制造业 |
Tab.2
Top ranked enterprises in total manufacturing output by industry, 2013
行业 | 大型企业 |
---|---|
汽车制造业 | 现代汽车公司、长城河北公司、一汽丰田、北京奔弛、长城天津公司、福田、现代摩比斯、福田戴姆勒、中信戴卡、北方凌云、北京汽车等 |
电子信息产业 | 三星通信、诺基亚通信、索爱普天、三星视界、联想(北京)、小米通信、三星电子、京东方显示、钜宝电子、伟创力电子、三星高新电机、鸿富锦精密电子、富士康精密电子(廊坊)、三星LED、三星电机、同方股份等 |
钢铁产业 | 河北津西、唐山钢铁、河北敬业、天津天铁、天津钢铁、唐山瑞丰、宣化钢铁、首钢京唐钢铁、邯郸钢铁、沧州中铁装备、唐山国丰、承德钢铁、首钢迁安钢铁等 |
化工产业 | 中沙(天津)、大沽化工、唐山三友、天澜新能源、天津碱厂、燕山石化、旭阳煤石化、PPG涂料(天津)、天津渤天化工、冀衡、沧州大化等 |
食品加工制造业 | 天狮生物、康师傅方便面、嘉里粮油、汇福粮油、今麦郎食品、红玫瑰食品、金海粮油、顺鑫农业、顶益食品、九三集团、兴柏生物、邦基正大等 |
医药制造业 | 华北制药、石药集团、拜耳医药、诺和诺德、天士力集团、诺华制药、天士力制药、以岭药业、神威药业、赛诺菲(北京)制药、天津天药、北京同仁堂等 |
纺织业 | 宏润面料、恩达纺织、卢华服装、洪源纺织、天纺投资、常山纺织、恒纺纺织、三利毛纺、宁纺集团、恒进纺织、正大纺织、永亮纺织等、大华纺织等 |
Tab.4
Regression result of industrial substitution industry growth and driving factors
变量 | ln(Induit) | ln(Laborit) | ln(Capiit) | ln(Techit) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
系数 | z值 | 系数 | z值 | 系数 | z值 | 系数 | z值 | ||||
ln(Popit) | -0.170** | -2.27 | -0.169 | -1.41 | -0.122 | -0.96 | 0.034 | 0.29 | |||
ln(GDPit) | 0.229*** | 6.71 | 0.038 | 0.72 | 0.061 | 1.11 | -0.062 | -1.25 | |||
ln(Investit) | 0.325*** | 11.00 | 0.362*** | 7.82 | 0.390*** | 7.96 | 0.337*** | 7.63 | |||
ln(Fiscalit) | 0.479*** | 9.61 | 0.413*** | 5.3 | 0.437*** | 5.3 | 0.539*** | 7.23 | |||
ln(Salaryit) | 0.217*** | 3.02 | 0.142 | 1.25 | -0.018 | -0.15 | 0.456*** | 4.15 | |||
ln(Consumeit) | 0.132*** | 2.96 | 0.051 | 0.73 | 0.289*** | 3.93 | 0.060 | 0.91 | |||
ln(Accit) | -0.777*** | -4.66 | -0.936*** | -3.04 | -0.563* | -1.69 | -3.005*** | -9.03 | |||
常数 | 14.982*** | 13.46 | 15.319 *** | 7.93 | 14.224*** | 6.84 | 22.637*** | 11.23 | |||
模型设定 | 随机模型 | 随机模型 | 随机模型 | 随机模型 | |||||||
R2 | 0.75 | 0.37 | 0.43 | 0.57 | |||||||
观测数 | 2117 | 1987 | 1991 | 1903 |
Tab.5
Regression result of per capita industrial substitution industry growth and driving factors
变量 | ln(PCinduit) | ln(PClaborit) | ln(PCcapiit) | ln(PCtechit) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
系数 | z值 | 系数 | z值 | 系数 | z值 | 系数 | z值 | ||||
ln(GDPit) | 0.214*** | 6.32 | 0.029 | 0.55 | 0.048 | 0.87 | -0.061 | -1.22 | |||
ln(Investit) | 0.320*** | 10.88 | 0.360*** | 7.78 | 0.385*** | 7.89 | 0.338*** | 7.66 | |||
ln(Fiscalit) | 0.468*** | 9.46 | 0.399*** | 5.16 | 0.431*** | 5.28 | 0.541*** | 7.33 | |||
ln(Salaryit) | 0.273*** | 3.98 | 0.185* | 1.69 | 0.025 | 0.21 | 0.448*** | 4.20 | |||
ln(Consumeit) | 0.097** | 2.29 | 0.024 | 0.36 | 0.265*** | 3.75 | 0.066 | 1.02 | |||
ln(Accit) | -0.751*** | -4.43 | -0.895*** | -2.93 | -0.549 | -1.61 | -3.013*** | -9.12 | |||
常数 | 9.196*** | 9.14 | 9.538*** | 5.44 | 8.779*** | 4.53 | 18.210 | 9.80 | |||
模型设定 | 随机模型 | 随机模型 | 随机模型 | 随机模型 | |||||||
R2 | 0.75 | 0.38 | 0.43 | 0.57 | |||||||
观测数 | 2117 | 1987 | 1991 | 1903 |
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