Agglomeration economies in creative industries

Jin, Tao; Ho, Chun‐Yu; Luo, Shuai; Sheng, Yue

doi:10.1016/j.regsciurbeco.2019.04.002

Cited by 82 publications

(52 citation statements)

References 40 publications

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“…Some scholars also studied the impact of economic agglomeration on the efficiency of green economy. Economic agglomeration is a form of economic development, and it will be formed when the economy develops to a certain stage [37]. Agglomeration promotes economic growth as the promotion effect of agglomeration.…”

Section: Literature Reviewmentioning

confidence: 99%

Which Factors Can Stimulate China’s Green Transformation Process? From Provincial Aspect

Cui

Liu

Zhao

2020

Pol. J. Environ. Stud.

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As China enters into high-quality development stage nowadays, stimulating its wholly green transformation performance has attracted more and more attention globally. It is also an important subject for realizing its energy-saving and emissions reduction targets [1]. While China's economy has experienced a long period of rapid growth, problems such as energy shortage and environmental deterioration have become increasingly prominent. These restrict the sustainable development of the economy [2]. Due to the large amount of energy consumption, China's CO 2 emission has ranked first in the world in 2007. Air pollution caused by industrial emissions and traffic jams has brought diseases to people [3]. Accelerating the transformation of industrial structure from extensive development model to intensive

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Section: Literature Reviewmentioning

confidence: 99%

Which Factors Can Stimulate China’s Green Transformation Process? From Provincial Aspect

Cui

Liu

Zhao

2020

Pol. J. Environ. Stud.

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“…They also argue that moderate agglom-eration will facilitate regional growth and promote economic development. Tao et al (2019) show that urbanization economies have a significant impact on the productivity of creative industries in China. As mentioned previously, studies concerning the relationship between industrial agglomeration and productivity are limited in the case of India, which forms the basis of the current study.…”

Section: Agglomeration and Productivitymentioning

confidence: 99%

Agglomeration and Productivity: Evidence from Indian Manufactuaring

Ramachandran

Reddy

Sasidharan

2020

Studies in Microeconomics

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This study analyses the impact of industrial agglomeration on the total factor productivity (TFP) of Indian manufacturing. We employ plant-level data from the Annual Survey of Industries (ASI) to measure TFP and industrial agglomeration. Our econometric analysis discerns a positive impact of industrial agglomeration on plant productivity. In addition, we find that the larger plants are the beneficiaries of productivity gains associated with agglomeration. Further, our findings are robust to alternate measures of TFP.

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“…However, the debate in the academic community regarding whether agglomeration effects are caused by intra‐industry agglomeration (localization economies) or inter‐industry agglomeration (urbanization economies) has continued (Barufi et al, 2016; Cainelli et al, 2015; Fazio & Maltese, 2015; Glaeser et al, 1992). In recent years, scholars have begun to emphasize the differences in agglomeration effects among different industries and firms with different characteristics (Amara & Thabet, 2019; Antonietti & Cainelli, 2011; Badr et al, 2019; Beaudry & Schiffauerova, 2009; Duschl et al, 2015; Hartog et al, 2012; Hu & Liang, 2008; Kenney & Patton, 2005; Liang & Goetz, 2018; Neffke et al, 2011; Tao et al, 2019). In addition, scholars have noted the heterogeneity of firms (Ottaviano, 2011) and proposed that uncontrolled firm selection effects could cause endogenous problems and the overestimation of agglomeration effects (Ciccone, 2002; Henderson, 2003; Rosenthal & Strange, 2004).…”

Section: Introductionmentioning

confidence: 99%

The heterogeneity of agglomeration effect: Evidence from Chinese cities

Wang

2020

Growth and Change

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Using annual surveys of industrial firms in China from 1998 to 2007, this paper applies the non‐linear least squares (NLS) method based on a grid search to analyse the effect of city size on firm total factor productivity (TFP). The results show that overall, the agglomeration effects in large cities, but not selection effects, significantly promote improvement in firm TFP. The optimal agglomeration scales of different industries differ as follows: those of capital‐ and technology‐intensive industries are larger than those of labour‐intensive industries. The agglomeration effects are also robust to different spatial areas without considering administrative boundaries. An inverted U‐shaped relationship exists between firm size and agglomeration effects, while the relationship between firm age and agglomeration effects is U‐shaped. State‐owned firms experience weaker agglomeration effects than non‐state‐owned firms. Cities higher in the administrative hierarchy and those with special economic zones have stronger agglomeration effects. However, cities higher in the administrative hierarchy and those with a larger economic development zone index can provide more resources to increase the survival rate of low‐productivity firms; thus, selection effects are not significant in Chinese cities.

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Agglomeration economies in creative industries

Cited by 82 publications

References 40 publications

Which Factors Can Stimulate China’s Green Transformation Process? From Provincial Aspect

Which Factors Can Stimulate China’s Green Transformation Process? From Provincial Aspect

Agglomeration and Productivity: Evidence from Indian Manufactuaring

The heterogeneity of agglomeration effect: Evidence from Chinese cities

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