Measuring impact of strategic coupling towards the patterns of industrial upgrading in the Pearl River Delta
Received date: 2021-04-06
Accepted date: 2021-09-01
Online published: 2022-06-10
Copyright
Existing research on strategic coupling has addressed the interaction mechanism between strategic coupling and regional industrial upgrading under globalization. However, current studies are mainly based on qualitative research and lack of quantitative measurement of relationships between strategic coupling and industrial upgrading. Therefore, based on two dimensions, the enterprise and the region, this study constructs an analytical framework to explore the patterns of industrial upgrading under the influence of strategic coupling. This study also adopts a multiple linear regression model to verify the impacts of strategic coupling on industrial upgrading. The main conclusions are as follows: First, all cities in the Pearl River Delta (PRD) have undergone industrial upgrading. However, there are some intra-regional divergence considering the patterns and extent of upgrading. Among these cities, Shenzhen has shown the best performance of upgrading, an overall regional upgrading. Guangzhou and Zhuhai have less-best upgrading, enterprise upgrading, which is followed by Dongguan with an upgrading related to industrial structure. Significantly, the phenomenon of involution has not yet occurred in the PRD. Second, the difference in the patterns of strategic coupling affects the process of industrial upgrading significantly. The production dependency on Hong Kong, Macao and Taiwan-invested enterprises, and the technological dependency towards foreign enterprises are the most prominent influencing factors. Third, after the 2008 financial crisis, the interaction mechanism between strategic coupling and industrial upgrading has changed apparently, which remarked a turning point in the path of regional development. Regions that have higher dependency towards Hong Kong, Macao, Taiwan and other general foreign enterprises on industrial production have lower speed of upgrading. However, regions where Hong Kong, Macao and Taiwan-invested enterprises have higher technology have more prominent regional upgrading. Nevertheless, the influence of advanced technologies brought by foreign-invested enterprises in fostering regional upgrading have faded out. Overall, this paper helps to advance the theory of industrial upgrading under globalization. It also tentatively explores the use of quantitative methods in relational economic geography.
LIU Yi , ZHANG Yifan , HUANG Kaixuan , CHEN Rui . Measuring impact of strategic coupling towards the patterns of industrial upgrading in the Pearl River Delta[J]. GEOGRAPHICAL RESEARCH, 2022 , 41(4) : 1107 -1121 . DOI: 10.11821/dlyj020210280
图2 1998—2018年珠三角产业升级测度结果Fig. 2 The industrial upgrading of the Pearl River Delta during 1998-2018 |
图3 1998—2008年珠三角产业升级测度结果Fig. 3 The industrial upgrading of the Pearl River Delta during 1998-2008 |
表1 变量基本信息Tab. 1 Model variables |
| 变量类型 | 变量符号 | 变量内容 | 变量描述 |
|---|---|---|---|
| 被解释变量: 产业升级 | Upgrade | 全员劳动生产率 | 全市工业增加值与同年全体从业人员的平均人数的比值 |
| 解释变量: 战略耦合 | Exp.r | 出口依赖 | 外商投资企业出口总额与全市出口总额的比值 |
| Out.f1 | 生产依赖-港澳台 | 港澳台资总产出与全市企业总产出的比值 | |
| Out.f2 | 生产依赖-一般外资 | 除港澳台资外的境外其他外商投资企业总产出与全市企业总产出的比值 | |
| Tec.f1 | 技术领先-港澳台 | 对于规模以上工业企业,港澳台资企业的生产率与全市所有企业的生产率的比值,生产率以企业平均总产值表示 | |
| Tec.f2 | 技术领先-一般外资 | 对于规模以上工业企业,除港澳台资外的境外其他外商投资企业的生产率与全市所有企业的生产率的比值,生产率以企业平均总产值表示 | |
| 控制变量 | Exp | 出口规模 | 全市出口总额 |
| CVA | 企业平均增加值 | 全市工业增加值与工业企业数量的比值 | |
| GDP | 地区生产总值 | 全市生产总值 | |
| FDI | 外商投资总额 | 全市外商投资总额 |
表2 统计性描述Tab. 2 Descriptive statistics |
| Obs | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|
| Upgrade | 189 | 135459.07 | 107744.93 | 16461.00 | 621046.40 |
| Exp.r | 189 | 0.16 | 0.21 | 0.06 | 0.92 |
| Out.f 1 | 189 | 0.42 | 0.13 | 0.02 | 0.89 |
| Out.f 2 | 189 | 0.26 | 0.13 | 0.003 | 0.49 |
| Tec.f 1 | 189 | 1.47 | 0.77 | 0.21 | 7.04 |
| Tec.f 2 | 189 | 1.31 | 0.97 | 0.31 | 7.37 |
| Exp | 189 | 1797.75 | 424.37 | 0.87 | 3057.02 |
| CVA | 189 | 7.52 | 1.13 | 0.03 | 5.097 |
| GDP | 189 | 176.68 | 3788.97 | 75.49 | 26927.09 |
| FDI | 189 | 136698.70 | 134930.86 | 183.00 | 820301.00 |
表3 产业升级与战略耦合模型拟合结果Tab. 3 Model results |
| 变量名称 | 变量内容 | 变量系数 | ||
|---|---|---|---|---|
| 1997—2019年 | 1997—2007年 | 2008—2019年 | ||
| Exp.r | 出口依赖 | -0.2314** | 0.0363 | -0.2073 |
| Out.f1 | 生产依赖-港澳台 | -0.7619*** | -0.5473*** | -1.4928*** |
| Out.f2 | 生产依赖-一般外资 | 0.6443*** | 0.1413 | 1.1321*** |
| Tec.f1 | 技术领先-港澳台 | 0.1387*** | 0.0978*** | 0.2287*** |
| Tec.f2 | 技术领先-一般外资 | -0.0165 | 0.0881*** | -0.1206*** |
| Exp | 出口规模 | -0.1010*** | -0.0276*** | -0.2351*** |
| CVA | 企业平均增加值 | 0.6226*** | 0.6107*** | 0.4230*** |
| GDP | 地区生产总值 | 0.3168*** | 0.1774*** | 0.4053*** |
| FDI | 外商投资总额 | -0.0922*** | -0.0671*** | -0.0393* |
| 样本量 | 412 | 189 | 181 | |
| 调整后R2 | 0.8470 | 0.7113 | 0.7181 | |
注:***、**、*分别表示在1%、5%、10%的统计水平上显著。 |
真诚感谢匿名评审专家在论文评审中所付出的时间和精力,特别是结果分析、结论梳理等方面的修改意见,使本文获益匪浅。
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