Economic Growth In Shanghai Research Articles

Green economic growth and its inherent driving factors in Chinese cities: Based on the Metafrontier-global-SBM super-efficiency DEA model

Green development answers to the common needs and demands of all humanity, especially the emerging economies like China. Based on the newly constructed Metafrontier-Global-SBM super-efficiency DEA (Data Envelopment Analysis) model, this study measures the green economic growth levels of 286 prefecture-level cities in China from 2003 to 2018 and examines their spatiotemporal evolution characteristics and internal influencing mechanisms. The empirical findings highlight that China achieved favorable green economic growth with the most significant improvement in the northeast and eastern coastal cities. In terms of regional distribution, green economic growth in Shanghai, Guangdong, Heilongjiang, Gansu, and Ningxia was at a higher level, while the Chongqing and Qinghai regions were lagging. Based on the decomposition results of the green economic growth rate; the study argues that “innovation effect” was the primary factor driving growth and “technology-leader-transfer effect” showed a contrary inhibiting effect. This study adds empirical evidence to the facts of green development in Chinese cities and the influencing mechanisms behind it, and has important policy implications for further harmonizing the relationship between resource conservation, environmental protection and economic development, and further promoting green development in China and globally.

Decoupling Analysis of Water Environmental Pressure and Economic Growth in Shanghai

While developing our economy, we also attach great importance to pollution prevention and control in order to improve the environmental quality. Water environmental pollution is an important part of environmental pollution. It is very meaningful to alleviate the pressure of water environment through the prevention and control of water environmental pollution. This paper uses decoupling theory to analyze the relationship between water environmental pressure and economic growth in Shanghai. The results show that, there is a strong decoupling between water environmental pressure and economic growth in Shanghai. The main reason is the transformation of industrial structure and the increase of investment in science and technology.

An Empirical Analysis of the Relationship between Shanghai's Economic Growth and Fiscal Expenditure

There are three viewpoints towards the relationship between fiscal expenditure and economic growth. The first type is that fiscal expenditure improves the economic growth, the second is that fiscal expenditure holds up the economic growth. While the last type of viewpoint is that fiscal expenditure makes no difference on the economic growth. The paper will do the empirical study on the relationship between fiscal expenditure and economic growth of Shanghai by VAR model. The result shows that fiscal expenditure is not the Granger Cause of economic growth. While under the 1% significance level, the economic growth is regarded to be the Granger Cause of fiscal expenditure. It means that the increase of Shanghai fiscal expenditure decreases consumer expenditure and investment, which makes fiscal expenditure have no effect on the output. To avoid the crowding-out effect, the government needs to get the optimum fiscal expenditure and consider to limit the financing activity of private departments so that private investment will not be crowded out.

Shanghai Pilot Free Trade Zone and Its Effect on Economic Growth: A Counter-Factual Approach

Together with the deepening of globalization and economic integration, trade and investment liberalization has played more important role in economic cooperation. Besides the free trade agreements among member countries, free trade zone is also considered to establish a favorable environment in order to attract foreign investment and promote economic growth of the areas laying inside and outside the zone. On the basis of economic reforming and trade liberalization initiative, China approved the establishment of Shanghai Pilot free trade zone on September 29th, 2013. The Shanghai Pilot free trade zone is the experiment area of the whole country’s national economic transition process. For the first time, many new policies and management mode were adopted in this area to examine their performance and usability. This study aims to analyze the policy’s effect of Shanghai pilot free trade zone on Shanghai economic growth. By using counter-factual method, the study compares the difference of Shanghai GDP in counter-factual scenario from the actual scenario and figures out the policy effect with the existence of the free trade zone. Therefore, the finding emphasizes the strong effect of Shanghai free trade zone on its economic growth. Understanding the economic effect of Shanghai pilot free trade zone is necessary to further up investment and trade liberalization in China.

Impacts on CO2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme

A pilot regional carbon emission trading scheme (ETS) has been implemented in China for more than two years. An investigation into the impacts of different factors on carbon dioxide (CO2) emission allowance prices provides guidance for price-making in 2017 when the nation-wide ETS of China will be established. This paper adopts a quantile regression approach to estimate the impacts of different factors in Shanghai emission trading scheme (SH-ETS), namely, economic growth, energy prices and temperature. The empirical analysis shows that: (i) the economic growth in Shanghai leads to a drop in the carbon allowance prices; (ii) the oil price has a slightly positive effect on the allowance prices regardless of the ordinary least squares (OLS) or quantile regression method; (iii) a long-run negative relationship exists between the coal price and the Shanghai emission allowances (SHEA) prices, but a positive interaction under different quantiles, especially the 25%–50% quantiles; (iv) temperature has a significantly positive effect at the 20%–30% quantiles and a conspicuous negative impact at the right tail of the allowances prices.

ARDL-based research on the nexus among FDI, environmental regulation, and energy consumption in Shanghai (China)

Foreign direct investment (FDI) plays a vital role in economic growth in Shanghai but also gives rise to a series of environmental pollution problems. With more voices calling for strengthening of environmental regulations, it is necessary to explore the relationship among FDI, environmental regulations, and energy consumption. We apply autoregressive distributed lag bounds testing approach and error correction-based Granger causality model to verify the connection among these economic variables for the period from 1991 to 2013. The results show that environmental regulations have a negative effect on FDI in both the long and short term. Energy consumption has a significantly positive impact on FDI in the short and long run, but is only significant in the short run. Granger causality results indicate that FDI is a Granger cause of energy consumption, which confirms the validity of the pollution haven hypothesis. Finally, we suggest that stringent environmental regulations and improvements in energy efficiency are required when absorbing FDI inflows.

Evolution of the Relationship between Economic Development and Water Pollution in Shanghai

In this paper, according to 1990-2011 Shanghai water pollution data, using co-integration test, error correction model, Granger causality test, impulse response analysis and variance decomposition analysis, from the perspective of temporal dimension, we explore the long-term equilibrium and dynamic mechanism between water pollution and economic growth in Shanghai. We have found that: the index of water pollution in Shanghai grow fast in particular wastewater emissions, economic growth depends on water environment pollution, and economic growth bring enlarging water environment pressure at the same time.

Estimating the Rebound and Reduce Effect of Low Carbon Policy in Shanghai Industrial Sectors

The economic growth in Shanghai is fast and its level of social development has reached that of the moderately developed countries, while shanghai has also been one of the highest CO2 cities. It has adopted many measures to control climate change. The rebound and reduce effect model has been used to analysis the effectiveness of the control of CO2 in the process of low-carbon policy implementation in Shanghai. This model will help policymakers reconsider the implication and limitation of low carbon policy. The results show that currently many policies used in Shanghai are of emergency, and rebound effect is obvious. However, these efficiency-oriented measures are suitable for Shanghai's own development needs.

Decomposition of Energy-related CO2Emissions from Shanghai’s Industries and Policy Implications

Abstract This paper quantifies a decomposition analysis of energy-related CO2 emissions in the industrial sectors of Shanghai over the period 1994–2007. The Log-Mean Divisia Index (LMDI) method is applied to this study in terms of six factors: labor force, labor mobility, gross labor productivity, energy intensity, fuel mix, and emission coefficient. In addition, the decoupling effect between industrial economic growth and CO2 emissions is analyzed to evaluate CO2 mitigation strategies for Shanghai. The results show that all labor productivity has the largest positive effect on CO2 emission changes in the industrial sectors, whereas labor mobility and energy intensity are the main components for decreasing CO2 emissions. Other factors have different effects on CO2 mitigation in different sub-periods. Although a relative decoupling of industrial CO2 emissions from the economic growth in Shanghai has been found, Shanghai should keep pace with the industrial CO2 emissions reduction by implementing low-carbon...

Analyzing and Predicting the Economic Growth, Energy Consumption and CO2 Emissions in Shanghai

Based on the data from 1978-2010, this paper analyzes the causal relationships between carbon emissions, energy consumption, and economic growth in Shanghai, adopting the co-integration and vector error correction methods. The Grey prediction model is applied to forecast three variables for the period between 2011 and 2020. As the empirical results showed, in the long-run equilibrium, there is a positive relationship of a long-term equilibrium between carbon emission and energy consumption in Shanghai. However, between carbon emission and real GDP, there is a negative correlation. Besides, in the short-run equilibrium, energy consumption is the important impact on carbon emission. The causality results show that there is a bidirectional causality relationship between carbon emission, real GDP and energy consumption. For the purposes of reducing carbon emissions and not adversely affecting economic growth, Shanghai should optimize the structure of energy consumption and develop new energy. In addition, the optimal forecasting models of real GDP, energy consumption and carbon emissions have good prediction precision with MAPEs of less than 3%.

Empirical Research on Scientific and Technical Innovation and Economic Growth in Shanghai

With the explosive growth of knowledge and the further improvement of economic globalization, technology gradually represents its greater significance as the core factor of the strategic resources and competence for national and regional development, which becomes a greater support to the construction of the innovative country and also a key to take the initiative to develop. Under this tendency, technological improvements should play a more important role in pushing the economy forwards, which brings higher requirements for technical development in Shanghai. Thus Shanghai must integrate and utilize the resources of new technology in a more comprehensive way. During the process of building up a well-off society as well as innovative regions in an all-around way, the demand for technological innovation is continuously increasing and its content, as to Shanghai, is undergoing further fulfillment. The study on the inner connection between Shanghai technological development and economic growth, thus under such background, means much to get a knowledge about the dynamic equilibrium relationship between technical progress and economic growth, which can be taken as an important reference for the government to draw up the plan for future technological development.

Empirical Research on the Relationship between Investment of Environmental Protection and Economic Growing of Shanghai

This paper uses Impulse Response Function to empirically analyze the relationship between investment of environmental protection and economic growing of Shanghai. The result shows that Shanghai economic growth relatively contributes more to the environmental investment， while the improvement of environmental investment affects little on the economic growth. Shanghai should further promote multiplier effects of the environmental investment on economic growth in order to achieve the coordinated development between investment of environmental protection and economic growth.

Interactions between environmental quality and economic development in Shanghai, China

This paper investigates the relationship between environmental quality and economic growth in Shanghai based on the environmental Kuznets curve hypothesis (EKC), using the panel data over 1989-2004. Regarded as the largest city and ecoomic center in China, Shanghai has profoundly changed the local environment with the highest income level in this country. Ambient air quality, surface water quality and near-shore water quality from Shanghai are used as environmental indicators and per capita GDP is used as the economic indicator. We found four types of economy-environment relationships in the studied period in Shanghai. The results also show that surface water indicator supports EKC better than the ambient air and near-shore water indicator. International Journal of Engineering, Science and Technology, Vol. 2, No. 7, 2010, pp. 56-64