scholarly journals MODELLING TECHNOLOGICAL BIAS AND PRODUCTIVITY GROWTH: A CASE STUDY OF CHINA’S THREE URBAN AGGLOMERATIONS

2020 ◽  
Vol 26 (1) ◽  
pp. 135-164 ◽  
Author(s):  
Ke Li ◽  
Jianying Qu ◽  
Pan Wei ◽  
Hongshan Ai ◽  
Pinrong Jia
Keyword(s):  
Total Factor Productivity ◽  
Technological Progress ◽  
Yangtze River Delta ◽  
Point Of View ◽  
River Delta ◽  
Low Carbon ◽  
Factor Productivity ◽  
Urban Agglomerations ◽  
Co2 Intensity ◽  
The Pearl River

The technological progress in favor of energy conservation and emission reduction will help increase green total factor productivity and thus mitigate China’s environmental problems. This study adopts the data envelopment analysis (DEA) to measure the total factor productivity (TFP) index of the Chinese three urban agglomerations from 2005 to 2014, and the reasons for its changes are also analyzed. Furthermore, the biases of technological progress from two perspectives of inputs and outputs (including the undersirable output, measured by CO2 emissions) are estimated. Main results are: (i) During the sample period, the TFP of the three urban agglomerations continues to increase, and the main driving force is technological change. (ii) From the perspective of inputs, the Beijing-Tianjin-Hebei prefers to use electricity, whereas the Pearl River Delta and the Yangtze River Delta urban agglomerations tend to use capital and save labor. (iii) From the perspective of outputs, the technological progress of the three major urban agglomerations is significantly biased toward GDP with a slight difference among the three urban agglomerations, which means its technological progress is conducive to reduce CO2 intensity, symbolizing low carbon development. From this point of view, their economic growth shows a low-carbon trend.

scholarly journals A Review and Comparative Analysis on Energy Transition in China’s Three Emerging Urban Agglomerations

2021 ◽  
Vol 228 ◽  
pp. 01004
Author(s):  
Jianchao Hou ◽  
Jinhua Jian ◽  
Pingkuo Liu
Keyword(s):  
Energy Transition ◽  
Clean Energy ◽  
Energy System ◽  
Development Planning ◽  
Yangtze River Delta ◽  
River Delta ◽  
Low Carbon ◽  
Energy Investment ◽  
Urban Agglomerations ◽  
The Pearl River

With the aggravation of environmental pollution and the overuse of fossil energy, a sustainable transition to using the low-carbon and clean energy is perceived to be an inevitable trend. The Beijing-Tianjin-Hebei, the Yangtze River Delta and the Pearl River Delta are the three most important economic circles in China. One purpose of energy transition in those Three Urban Agglomerations is to enable the energy system to have a higher share of clean energy. This paper introduces the current situation in terms of energy endowment, production and consumption in the three urban agglomerations, discusses the policy environment from the aspects of development planning, supporting mechanism and policy tools. We further analyse the barriers of the energy transition in the three urban agglomerations by using Institution-Economy-Technology-Behaviour (IETB) conceptual model. Through this research, we know that reducing the carbon emissions is a priority in energy transition and increasing the utilization of renewable energy has become the consensus in the three urban agglomerations. In addition, reasonable energy development policies can impel the energy investment and the technology innovation to accelerate energy transition. Moreover, in the designated “highly polluting” industry sectors, energy supply enterprises and energy-consuming enterprises establish green-development incentive mechanisms and adopt technological innovation in order to promote energy transition.

scholarly journals Does Population Mobility Contribute to Urbanization Convergence? Empirical Evidence from Three Major Urban Agglomerations in China

2020 ◽  
Vol 12 (2) ◽  
pp. 458 ◽  
Author(s):  
Feng Wang ◽  
Wenna Fan ◽  
Xiangyan Lin ◽  
Juan Liu ◽  
Xin Ye
Keyword(s):  
Pearl River Delta ◽  
High Growth ◽  
Yangtze River Delta ◽  
High Growth Rate ◽  
River Delta ◽  
Population Mobility ◽  
Urban Agglomerations ◽  
Agglomeration Effect ◽  
The Pearl River ◽  
The Yangtze River Delta

Population mobility accelerates urbanization convergence and mitigates the negative impact of the spatial agglomeration effect on urbanization convergence, which is the most important conclusion in this paper. Taking 38 cities in China’s three urban agglomerations (the Yangtze River Delta, the Pearl River Delta, and the Beijing–Tianjin–Hebei region) from 2005 to 2016 as research subjects, the study first shows that there is a large gap in the level of urbanization between the three major urban agglomerations, but the gap has been constantly narrowed and presents a trend of absolute convergence and conditional convergence. Furthermore, without adding a population mobility variable, the combination of the diffusion effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization level to be continuously convergent in the Yangtze River Delta region; however, the combination of the agglomeration effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization to be divergent in the Pearl River Delta and the Beijing–Tianjin–Hebei region. Under the influence of population mobility, the “catch-up” effect in low-urbanization regions is greater than the agglomeration effect in high-urbanization regions, which promotes the continuous convergence of inter-regional urbanization.

Multi-indicator Evaluation and Analysis of Coordinated Industrial Development of Urban Agglomerations

2017 ◽  
Vol 05 (01) ◽  
pp. 1750006
Author(s):  
Xuan SUN
Keyword(s):  
Pearl River Delta ◽  
Industrial Development ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Urban Agglomerations ◽  
The Pearl River ◽  
Indicator Evaluation ◽  
The Yangtze River Delta

The level of coordinated industrial development in a region is considered as an important factor of measuring the construction of urban agglomerations. As the economic development patterns and stages vary in regions, a single-standard evaluation system is generally insufficient in evaluating and analyzing the coordinated industrial development of urban agglomerations. This paper, with multivariate values and diversified development demands considered, quantitatively describes the industrial development of urban agglomerations from four dimensions: economics, specialization, balance, and friendliness. On this basis, it synthesizes the indicator parameters effectively and proposes a multi-indicator evaluation model. Through the model, the paper comparatively analyzes the present status and development course of coordinated industrial development of typical urban agglomerations (Beijing–Tianjin–Hebei urban agglomeration, the Yangtze River Delta urban agglomeration, and the Pearl River Delta urban agglomeration) in China. The results show that Beijing–Tianjin–Hebei urban agglomeration has the clearest division of industries, but its industrial spillover effect is limited, the industrial structure of small and medium cities is too simple, and the economic gap among cities narrows at a very slow rate. The core cities in the Yangtze River Delta urban agglomeration exert certain driving effect upon the economy of their surrounding areas. However, they hardly give full play to their comparative advantages due to a low level of regional integration and high industrial similarity among cities. Compared with the above two urban agglomerations, the Pearl River Delta urban agglomeration enjoys more reasonable division of industries among cities, significant driving effect of core cities, and higher level of coordinated industrial development as driven by the market economy.

scholarly journals Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations

2020 ◽  
Vol 12 (7) ◽  
pp. 2675
Author(s):  
Fan Zhang ◽  
Gui Jin ◽  
Junlong Li ◽  
Chao Wang ◽  
Ning Xu
Keyword(s):  
Pearl River Delta ◽  
Yangtze River ◽  
Carbon Emission ◽  
Yangtze River Delta ◽  
River Delta ◽  
Pearl River ◽  
Low Carbon ◽  
Frontier Analysis ◽  
Urban Agglomerations ◽  
Emission Efficiency

The scale effect of urbanization on improving carbon emission efficiency and achieving low-carbon targets is an important topic in urban research. Using dynamic panel data from 64 prefecture-level cities in four typical urban agglomerations in China from 2006 to 2016, this paper constructed a stochastic frontier analysis model to empirically measure the city-level total-factor carbon emission efficiency index (TCEI) at different stages of urbanization and to identify rules governing its spatiotemporal evolution. We quantitatively analyzed the influences and functional characteristics of TCEI in the four urban agglomerations of Pearl River Delta, Beijing-Tianjin-Hebei, the Yangtze River Delta, and Chengdu-Chongqing. Results show that the TCEI at different stages of urbanization in these urban agglomerations is increasing year by year. The overall city-level TCEI was ranked as follows: Pearl River Delta > Beijing-Tianjin-Hebei > Yangtze River Delta > Chengdu-Chongqing. Improvements in the level of economic development and urbanization will help achieve low-carbon development in a given urban agglomeration. The optimization of industrial structure and improvement of ecological environment will help curb carbon emissions. This paper provides decision-making references for regional carbon emission reduction from optimizing industrial and energy consumption structures and improving energy efficiency.

scholarly journals Spatial Dynamics of Intercity Technology Transfer Networks in China’s Three Urban Agglomerations: A Patent Transaction Perspective

2019 ◽  
Vol 11 (6) ◽  
pp. 1647 ◽  
Author(s):  
Chengliang Liu ◽  
Caicheng Niu ◽  
Ji Han
Keyword(s):  
Technology Transfer ◽  
Path Dependence ◽  
Preferential Attachment ◽  
Spatial Dynamics ◽  
Diffusion Path ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomerations ◽  
Technology Incubator ◽  
The Pearl River

Technology transfer has become a vital pipeline for acquiring external knowledge. The purpose of this paper is to portray the spatial dynamics of intercity technology transfer networks in China’s three urban agglomerations based on patent right transaction data from 2008 to 2015. The integration of social networks and spatial visualization is used to explore spatial networks and influencing variables of the networks. The results demonstrate that Beijing, Shanghai, and Shenzhen are emerging as hubs in the three urban agglomerations. The spatial distributions of degree and weighted degree are significantly heterogeneous and hierarchical. The larger cities play the role of a knowledge and technology incubator, highly related to their economic scale, research and development (R&D) input, and innovation output. The evolution of intercity technology linkages is driven by the networking mechanisms of preferential attachment, hierarchical and contagious diffusion, path dependence, and path breaking. Moreover, we found that the geographical proximity and technology gaps are determinants of the strength of intercity technology linkages. As a result, it has been discovered that the network in the Beijing–Tianjin–Hebei agglomeration is organized in a tree network, while the Yangtze River Delta features a polycentric network and the Pearl River Delta has multi-star characteristics.

scholarly journals Study on the Spatial Connection of Beijing Tianjin Hebei Urban Agglomeration

2020 ◽  
Vol 206 ◽  
pp. 02014
Author(s):  
Wang Hongmei ◽  
Lu Zhihui
Keyword(s):  
Pearl River Delta ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Urban Agglomerations ◽  
The North ◽  
Development Experience ◽  
Close Cooperation ◽  
The Pearl River ◽  
The Yangtze River Delta

The importance of close cooperation among cities can be seen from the development experience of mature urban agglomerations in the world. Compared with the Yangtze river delta and the Pearl River Delta urban agglomeration, cities in Beijing Tianjin Hebei urban agglomerations are in poor connection. This paper studies the internal linkages of Beijing Tianjin Hebei Urban Agglomerations, and finds that: in recent years, the overall spatial linkages of the urban agglomerations have been several times higher than that in 2007, but they show the characteristics of geographically “dense in the South and sparse in the north”; the main connection tracks within the urban agglomerations are roughly “inverted L”, that is, the connection of “Beijing-Tianjin”, “Beijing-Baoding-Shijiazhuang” and “Xingtai-Handan”.

scholarly journals A link between renewable energy, globalisation and carbon emission? Evidence from a disaggregate analysis with policy insights

2021 ◽  
Author(s):  
Mohd Arshad Ansari ◽  
Vaseem Akram ◽  
Salman Haider
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Total Factor Productivity ◽  
Developing Economies ◽  
Panel Cointegration ◽  
Point Of View ◽  
Low Carbon ◽  
Factor Productivity ◽  
Renewable Energy Consumption ◽  
Cointegration Tests

Abstract This study unveils the question of how renewable energy, non-renewable energy, globalisation, and total factor productivity affect the carbon dioxide (CO2) at the aggregate and disaggregate levels (CO2 from oil, coal and gas) in case of top ten carbon emitters developing economies over the period 1991–2016. To achieve the above objective, we apply various panel unit, cointegration and causality tests. We also implement a Pooled Mean Group estimator technique to find the long-term coefficients. Findings from panel cointegration tests show that there exists a significant long-run relationship between renewable energy, non-renewable energy, globalisation, total factor productivity and CO2. Moreover, findings derived from PMG infers that renewable energy consumption has a negative and significant impact on CO2 while non-renewable energy consumption significantly increases the CO2 at aggregate and disaggregate level. Further, our results show that total factor productivity increases the CO2 emissions whereas globalisation decreases it. From the policy point of view, our findings recommend that CO2 in sample countries can be reduced through promoting low carbon technology, and globalisation. Moreover, our findings propose to encourage renewable energy installation and drafting comprehensive policies.

scholarly journals Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China

2019 ◽  
Vol 11 (17) ◽  
pp. 4590 ◽  
Author(s):  
Jiqun Wen ◽  
Xiaowei Chuai ◽  
Shanchi Li ◽  
Song Song ◽  
Yuanwei Li ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Carbon Balance ◽  
Carbon Sink ◽  
Urban Expansion ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomerations ◽  
Sink Effect ◽  
The Pearl River ◽  
The Yangtze River Delta

Land-use change, particularly urban expansion, can greatly affect the carbon balance, both from the aspects of terrestrial ecosystems and anthropogenic carbon emissions. Coastal China is a typical region of rapid urban expansion, and obvious spatial heterogeneity exists from the north to south. However, the different urban change characteristics and the effect on carbon balance remain undetermined. By unifying the spatial-temporal resolution of carbon source and sink data, we effectively compared the carbon budgets of three coastal urban agglomerations in China. The results show that all of the three urban agglomerations have undergone an obvious urban expansion process, with the built-up area increasing from 1.03 × 104 km2 in 2000 to 3.06 × 104 km2 in 2013. For Beijing–Tianjin–Hebei (BTH), the built-up area gradually expanded. The built-up area in the Yangtze River Delta (YRD) gradually changed before 2007 but rapidly grew thereafter. The built-up expansion of the Pearl River Delta (PRD) passed through three growing stages and showed the largest mean patch size. Carbon emission spatial patterns in the three urban agglomerations are consistent with their economic development, from which the net ecosystem production (NEP) spatial patterns are very different. Compared to carbon emissions, NEP has a carbon sink effect and can absorb some carbon emissions, but the amounts were all much lower than the carbon emissions in the three urban agglomerations. The carbon sink effect in the Yangtze River Delta is the most obvious, with the Pearl River Delta following, and the lowest effect is in Beijing–Tianjin–Hebei. Finally, a scientific basis for policy-making is provided for viable CO2 emission mitigation policies.

scholarly journals Factors Aggregating Ability and the Regional Differences among China’s Urban Agglomerations

2018 ◽  
Vol 10 (11) ◽  
pp. 4179 ◽  
Author(s):  
Chengliang Liu ◽  
Tao Wang ◽  
Qingbin Guo
Keyword(s):  
Pearl River Delta ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Urban Agglomerations ◽  
The Pearl River Delta ◽  
The Pearl River ◽  
The Yangtze River Delta

Continuous aggregation of socioeconomic factors is the key issue of sustainable development in urban agglomerations. To date, more attention has been paid to single urban agglomeration than to multiple agglomerations. In this paper, China’s 19 urban agglomerations were selected as the case study and their spatial differences in factors aggregating ability were portrayed comparatively. Firstly, the spatial pattern of urban factors aggregating ability is relatively well distributed in all China’s cases, most noticeably in the Yangtze River Delta urban agglomeration, closely followed by the Beijing-Tianjin-Hebei and the Pearl River Delta urban agglomerations. However, more significant differences on factors aggregating ability are noticeably seen between cities than among urban agglomerations. Meanwhile, the rank-size structure distribution of factors aggregating ability in China’s 19 cases is in line with the Zipf’s law of their urban systems, and divided into three types: Optimized, balanced, and discrete. Furthermore, the urban factors aggregation ability in one urban agglomeration is roughly negatively correlated with its primacy ratio of factors aggregating ability distribution. Lastly, urban agglomerations with higher average values of factors aggregating ability are concentrated on the three major urban agglomerations: The Yangtze River Delta, the Beijing-Tianjin-Hebei and the Pearl River Delta. Otherwise, high-high clusters in the three urban agglomerations are distinctly observed as well.

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