scholarly journals Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling

2021 ◽  
Vol 13 (16) ◽  
pp. 3137
Author(s):  
Chao Tong ◽  
Chengxin Zhang ◽  
Cheng Liu
Keyword(s):  
Economic Development ◽  
Air Quality ◽  
Industrial Production ◽  
Industrial Structure ◽  
Local Economic Development ◽  
Additive Model ◽  
Atmospheric Pollutants ◽  
Green Economy ◽  
Air Quality Measurements ◽  
The Relationship

The development of the green economy is universally recognized as a solution to natural resource shortages and environmental pollution. When exploring and developing a green economy, it is important to study the relationships between the environment and economic development. As opposed to descriptive and qualitative research without modeling or based on environmental Kuznets curves, quantitative relationships between environmental protection and economic development must be identified for exploration and practice. In this paper, we used the generalized additive model (GAM) regression method to identify relationships between atmospheric pollutants (e.g., NO2, SO2 and CO) from remote sensing and in situ measurements and their driving effectors, including meteorology and economic indicators. Three representative cities in the Anhui province, such as Hefei (technology-based industry), Tongling (resource-based industry) and Huangshan (tourism-based industry), were studied from 2016 to 2020. After eliminating the influence of meteorological factors, the relationship between air quality indexes and industrial production in the target cities was clearly observed. Taking Hefei, for example, when the normalized output of chemical products increases by one unit, the effect on atmospheric NO2 content increases by about 20%. When the normalized output of chemical product increases by one unit, the effect on atmospheric SO2 content increases by about 10%. When chemical and steel product outputs increase by one unit, the effect on atmospheric CO content increases by 25% and 20%, respectively. These results can help different cities predict local economic development trends varying by the changes in air quality and adjust local industrial structure.

scholarly journals An Empirical Study of Economic Cycle, Air Quality, and National Health Since Reform and Opening Up

2021 ◽  
Vol 9 ◽  
Author(s):  
Kuang-Cheng Chai ◽  
Qiang Li ◽  
Xing-Li Bao ◽  
Jiawei Zhu ◽  
Xing-Xing He
Keyword(s):  
Economic Development ◽  
Air Quality ◽  
National Health ◽  
Health Problems ◽  
Green Economy ◽  
Healthy Population ◽  
Economic Cycle ◽  
Reform And Opening Up ◽  
The Relationship ◽  
Opening Up

Since the reform and opening up of China, the economy has continued to grow, and diverse needs have generated different types and periods of economic activities. This has caused people to have an unhealthy diet, lack of exercise, irregular work and rest, lack of sleep, mental stress, high psychological pressure, long-term bad moods, and other health problems. The proportion of the sub-healthy population continues to increase and health problems are becoming increasingly prominent. Based on this, we examine the internal mechanism of the economic cycle on national health since the reform and opening up of China. For a long time, China has actively responded to the UN's call for environmental protection and proposed that “clear waters and lush mountains are invaluable assets.” Therefore, this study combines air quality in the process of environmental governance in China to investigate national health. Data from 22 provinces, five autonomous regions, and four municipalities from 2004 to 2017 are selected as research samples to examine the relationship between economic cycles, air quality, and national health for empirical testing. Studies have shown that the economic cycle is significantly correlated with national health. The better the macroeconomy, the better the health of the human body; that is, the lower the unemployment rate, the lower the mortality rate. After introducing air quality, it was found to have a significant regulating effect on the relationship between the economic cycle and national health. Our conclusions reveal that economic development is closely related to national health. China should attach great significance to the environment and air quality in the process of economic development to achieve sustainable development and create a green economy.

scholarly journals Financial stability and local economic development: the experience of Italian labour market areas

2021 ◽  
Author(s):  
Cristian Barra ◽  
Roberto Zotti
Keyword(s):  
Economic Development ◽  
Labour Market ◽  
Financial Distress ◽  
Financial Stability ◽  
Local Economic Development ◽  
Banking System ◽  
Spatial Effects ◽  
Financial Conditions ◽  
Market Areas ◽  
The Relationship

AbstractRegulators should ensure the smooth functioning of the system and promote regional development. Making the health of financial institutions is therefore a prerequisite for a sustainable economic development. This paper contributes to the literature on the relationship between the financial stability and growth within the area of one country. This implies that institutional, legal, and cultural factors are more adequately controlled for and financial markets are more accurately bounded. Using a rich sample of Italian banks over the 2001–2012 period, this paper addresses whether different measures of financial distress affect economic development of labour market areas in Italy. Results show that the financial stability has a positive effect on local economic development, robust to alternative variables capturing financial vulnerability. The presence of spatial effects is tested showing that better financial conditions of the banking system in neighbouring areas have a detrimental effect on an area’s growth.

scholarly journals Prediction of Urban and Rural Tourism Economic Forecast Based on Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wusheng Zhou
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Causal Relationship ◽  
Local Economic Development ◽  
Tourism Industry ◽  
Local Economy ◽  
Series Data ◽  
Economic Forecast ◽  
The Relationship ◽  
Tourism Revenue

With the rapid development of tourism, tourism revenue, as one of the important indicators to measure the development of the tourism economy, has high research value. The quasi-prediction of tourism revenue can drive the development of a series of related industries and accelerate the development of the domestic economy. When forecasting tourism income, it is necessary to examine the causal relationship between tourism income and local economic development. The traditional cointegration analysis method is to extract the promotion characteristics of tourism income to the local economy and construct a tourism income prediction model, but it cannot accurately describe the causal relationship between tourism income and local economic development and cannot accurately predict tourism income. We propose an optimized forecasting method of tourism revenue based on time series. This method first conducts a cointegration test on the time series data of the relationship between tourism income and local economic development, constructs a two-variable autoregressive model of tourism income and local economy, and uses the swarm intelligence method to test the causal relationship and the relationship between tourism income and local economic development, calculate the proportion of tourism industry, define the calculation result as the direct influence factor of tourism industry on the local economy, calculate the relevant effect of local tourism development and economic income, and construct tourism income optimization forecast model. The simulation results show that the model used can accurately predict tourism revenue.

scholarly journals Investigate the Relationship between Urbanization and Industrialization using a Coordination Model: A Case Study of China

2020 ◽  
Vol 12 (3) ◽  
pp. 916
Author(s):  
Luo ◽  
Xiang ◽  
Wang
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Value Engineering ◽  
Unstable State ◽  
Coordinated Development ◽  
Coordination Model ◽  
Dynamic Coordination ◽  
Rural And Urban ◽  
The Relationship ◽  
Coordination Degree

The coordinated development of industrialization and urbanization has become a common goal and concern of developing countries. At the same time, measuring the relationship between them is becoming a research hotspot. With reference to value engineering, we constructed a dynamic coordination model to analyze the degree of coordination between urbanization and industrialization in China. During the study, three primary indicators were used to assess the level of industrialization in China, namely: economic development, industrial structure, industrial enterprise. We also use demographic urbanization rate to evaluate the level of urbanization. Subsequently, a dynamic coordination model was established using panel data of China collected from 1978 to 2017. Through the dynamic coordination degree model, the changes in the degree of coordination between urbanization and industrialization in China from 1978 to 2017 were analyzed, and the reasons for the fluctuation of coordination degree were further explored. The results show that: (1) The coordinated development of urbanization and industrialization can be divided into six phases, which is consistent with the major reforms in China's rural and urban; (2) The degree of coordination fluctuated more obviously during 1991–1995, which reflected the unstable state of China in the process of coordinated development of urbanization and industrialization; (3) Most of the time, industrialization is ahead of urbanization, while with rapid economic development, urbanization, and industrialization, are gradually synchronizing in China. The results are of great significance for promoting the coordinated development of urbanization and industrialization and realizing the sustainable development of the city.

scholarly journals Reframing place-based economic development in South Africa: the example of local economic development

2014 ◽  
Vol 24 (24) ◽  
pp. 203-218 ◽  
Author(s):  
Christian M. Rogerson
Keyword(s):  
South Africa ◽  
Economic Development ◽  
Local Economic Development ◽  
National Policy ◽  
Development Planning ◽  
Green Economy ◽  
Dynamic Nature ◽  
Five Dimensions ◽  
National Economic ◽  
Framework Conditions

Abstract Local Economic Development (LED) planning is a place-based approach to development planning and increasingly significant across much of the global South. One of the key challenges facing LED planning is the necessity to adjust planning in relation to the dynamic nature of both international and national framework conditions. The purpose of this article is to show this challenge by examining the dynamic nature of the national policy environment impacting upon LED planning in South Africa, a country which has a relatively long history of LED planning. Five dimensions of the changing landscape of national economic development planning in South Africa are identified. These relate to (a) LED within the context of new national economic and development plans; (b) initiatives for reindustrialising the South African economy, the associated importance of localisation and promotion of the green economy; (c) changing programmes around small business development; (d) shifts in rural development interventions; and (e) the fluid spatial context within which LED planning as a form of placebased economic development is embedded.

Индустријализација и раст бруто друштвеног производа // The Industrialization and Growth of Gross Domestic Product

2018 ◽  
Vol 13 (22) ◽  
pp. 151
Author(s):  
Брано Маркић ◽  
Сања Бијакшић ◽  
Арнела Беванда
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Industrial Production ◽  
Growth And Development ◽  
Manufacturing Sector ◽  
Domestic Product ◽  
Data Set ◽  
The Impact ◽  
The Relationship

Резиме: Рад је истраживање и емпиријска верификација закона Ницхолас Калдора о утицају индустријске производње на раст бруто друштвеног производа. Калдор је формулисао принципе економског раста у облику три закона који настоје утврдити кључне узроке економског раста. Први његов закон тврди да је стопа раста привреде позитивно корелирана са стопом раста њезина производног сектора. Индустрија као најважнија снага развоја привреде се поодавно анализира у литератури о привредном развоју: Hirschman (1961), Rosenstein-Rodan (1943), Th irnjall (2013), Cornnjall (1977). Циљ рада је емпиријски провјерити Калдоров приступ расту и развоју у Федерацији Босне и Херцеговине. Стога је обликован посебан скуп података кога чине дводимензионалне табеле и временске серије. Регресијском анализом је квантификована повезаност између стопа раста бруто друштвеног производа и стопе раста индустријске производње.Summary: The paper the industrialization and the growth of gross domestic product is a research and empirical verification of Nicholas Kaldor laws on the impact of industrial production to GDP growth. Kaldor has formulated the principles of economic growth in the form of three laws that tend to identify key causes of economic growth. His first law asserts that the rate of economic growth is positively correlated with the rate of growth of its manufacturing sector. Industry as the most important force of economic development is widely analyzed in the literature on economic development (Hirschman (1961), Rosenstein-Rodan (1943), Thirwall (2013), Cornwall (1977)). The aim is to empirically test the Kaldor’s approach to growth and development in the Federation of Bosnia and Herzegovina. It is therefore designed a special data set consisting of two-dimensional tables and time series. Using regression analysis was quantified the relationship between the growth rate of gross domestic product and the growth of industrial production. 

scholarly journals More employers, more jobs, more money: An empirical analysis of local economic development policy impacts in US cities

2007 ◽  
Vol 54 (4) ◽  
pp. 445-467 ◽  
Author(s):  
Stuart Strother
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Development Policy ◽  
Local Economic Development ◽  
Tax Base ◽  
Data Set ◽  
Economic Development Policy ◽  
Development Policies ◽  
The Relationship ◽  
Us Cities

Local government leaders in the U. S. employ a multitude of programs and policies in the name of economic development to increase the number of firms, employment, wages, and, of course, the tax base. The past few decades have seen a surge in local economic development policies, yet research analyzing their effectiveness is sparse. This study analyzes the relationship between local economic development policy and economic growth in a data set of 412 U. S. cities. Results indicate that policy has only has a weak correlation with economic growth, suggesting that growth is determined more by market conditions rather than government intervention. The article concludes with an entrepreneurial policy approach this author believes may yield development results in an era of limited policy effectiveness.

scholarly journals Empirical Analysis Between Economic Growth and Energy Consumption Based on the Perspective of Industrial Structure

2014 ◽  
Vol 7 (1) ◽  
pp. 158-163
Author(s):  
Shu Yehong ◽  
He Yucheng
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Supply ◽  
Industrial Structure ◽  
Time Series Data ◽  
Supply And Demand ◽  
Hunan Province ◽  
Series Data ◽  
The Relationship

Energy is an important material basis for social and economic development. With the rapid economic development, energy is increasingly becoming an important issue of socio-economic development. As China's "two-oriented society" pilots Hunan Province, a major breakthrough occurred in the transformation of economic growth, adjusting the industrial structure and promoting energy conservation and environmental protection, but still faces shortage of energy supply and demand and supply imbalances, impacting on sustainable economic development. This paper introduces the economic growth based on the previous results and summarized the relationship between energy consumption and classification; also introduces the theory of economic growth, industrial structure and related econometric models providing a theoretical basis and methods of analysis for this study. Secondly, through the relevant data collected and selected first from second and third industry time series data of economic growth and energy consumption of the 1990-2013 year of Hunan Province, the paper established econometric model of industrial structure and the relationship between energy consumption and economic growth in the analysis of the results obtained: the secondary industry is the leading cause of long-term increase in energy consumption which in turn is the driving force of the tertiary industry development. Finally, the relevant suggestions are made for industrial restructuring and for ensuring security of energy supply perspective.

Sign in / Sign up

Export Citation Format

Share Document