scholarly journals Impact of Land Input on Economic Growth at Different Stages of Development in Chinese Cities and Regions

2018 ◽  
Vol 10 (8) ◽  
pp. 2847 ◽  
Author(s):  
Wanfu Jin ◽  
Chunshan Zhou ◽  
Lijia Luo
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Econometric Model ◽  
Regional Economic Growth ◽  
Labor Input ◽  
Stages Of Development ◽  
Land Use Patterns ◽  
Chinese Cities ◽  
Use Patterns ◽  
The Impact

Regional industrial structure and land use patterns differ between the different stages of development, and the impact of land input on economic growth may vary. On the basis of land supply data obtained from http://www.landchina.com/ for 2010–2015, this study used an econometric model to explore the impact of land input on the economic growth of Chinese cities and regions at the different stages of development. Empirical results show that the development of 352 cities and regions in China in 2015 can be divided into five stages; namely, primary production stage (PPS), primary industrialization stage (PIS), middle industrialization stage (MIS), later industrialization stage (LIS), and developed stage (DS). The economic growth of cities and regions at the LIS or DS was significantly dependent on capital and labor input rather than land input. The land input of cities and regions at PPS, PIS, and MIS significantly promoted economic growth. This article enriches the study of regional economic growth and is beneficial to further understanding of the impact of land input on the economic growth of China.

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

scholarly journals Impacts of Urbanization on Land Use Pattern and Environment: A Case Study of Ajmer City, Rajasthan

2019 ◽  
Vol 8 (1) ◽  
pp. 87-91
Author(s):  
Bhanu Priya Chouhan ◽  
Monika Kannan
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Land Degradation ◽  
Satellite Images ◽  
Agricultural Land ◽  
Population Pressure ◽  
Geographical Information ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Impact

The world is undergoing the largest wave of urban growth in history. More than half of the world’s population now lives in towns and cities, and by 2030 this number will swell to about 5 billion. ‘Urbanization has the potential to usher in a new era of wellbeing, resource efficiency and economic growth. But due to increased population the pressure of demand also increases in urban areas’ (Drakakis-Smith, David, 1996). The loss of agricultural land to other land uses occasioned by urban growth is an issue of growing concern worldwide, particularly in the developing countries like India. This paper is an attempt to assess the impact of urbanization on land use and land cover patterns in Ajmer city. Recent trends indicate that the rural urban migration and religious significance of the place attracting thousands of tourists every year, have immensely contributed in the increasing population of city and is causing change in land use patterns. This accelerating urban sprawl has led to shrinking of the agricultural land and land holdings. Due to increased rate of urbanization, the agricultural areas have been transformed into residential and industrial areas (Retnaraj D,1994). There are several key factors which cause increase in population here such as Smart City Projects, potential for employment, higher education, more comfortable and quality housing, better health facilities, high living standard etc. Population pressure not only directly increases the demand for food, but also indirectly reduces its supply through building development, environmental degradation and marginalization of food production (Aldington T, 1997). Also, there are several issues which are associated with continuous increase in population i.e. land degradation, pollution, poverty, slums, unaffordable housing etc. Pollution, formulation of slums, transportation congestion, environmental hazards, land degradation and crime are some of the major impacts of urbanization on Ajmer city. This study involves mapping of land use patterns by analyzing data and satellite imagery taken at different time periods. The satellite images of year 2000 and 2017 are used. The change detection techniques are used with the help of Geographical Information System software like ERDAS and ArcGIS. The supervised classification of all the three satellite images is done by ERDAS software to demarcate and analyze land use change.

scholarly journals An Empirical Study on the Effect of Agricultural Infrastructure Investment on Economic Growth

2021 ◽  
Vol 275 ◽  
pp. 01004
Author(s):  
Liu Ran
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Random Effect ◽  
Random Effect Model ◽  
Infrastructure Investment ◽  
National Bureau ◽  
Agricultural Field ◽  
Effect Model ◽  
New Development ◽  
The Impact

In this paper, using the panel data of the National Bureau of Statistics database from 2010 to 2019, and using the random effect model, we studied the impact of agricultural infrastructure investment on economic growth. The empirical results show that the investment in agricultural infrastructure can significantly improve the national economy, among which the investment in new infrastructure promotes the economic growth to a certain extent. After comparing the eastern, central and western regions, it is found that the investment in agricultural infrastructure in the western region contributes more to the economic growth, and the statistical results are more significant. Based on the analysis of the role of agricultural infrastructure investment in promoting economic growth, this paper will further discuss the relevant suggestions of the “two new and one heavy” policy in the agricultural field, and promote the adjustment of agricultural industrial structure with the improvement of agricultural infrastructure, and promote the formation of a new development pattern of “double circulation”.

scholarly journals The Impact Of Macroeconomic Factors In Economic Growth

2016 ◽  
Vol 12 (7) ◽  
pp. 331 ◽  
Author(s):  
Alush Kryeziu
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Public Debt ◽  
Budget Deficit ◽  
Econometric Model ◽  
Macroeconomic Factors ◽  
The Public ◽  
Time Period ◽  
Macroeconomic Indicators ◽  
The Impact

In this paper will be discussed the main concepts and trends of the macro-fiscal indicators in economic growth, as well as their importance in the economic development of different countries, with special emphasis in Kosovo. One of the aims of this paper is to define and explain the connection between macroeconomic indicators with specific emphasis: the public debt, budget deficit and inflation on economic growth. In order to analyze this impact of variables in economic growth, the targeted time period of research is the period from 2004 to 2014. While the data taken regarding Kosovo were obtained from the year 2005, due to the fact that earlier the data have been limited because of the developments in which Kosovo went through. The model that best represents the link between macro-fiscal indicators on economic growth is the linear regression as an econometric model. We will have the opportunity to see and interpret these data. The overall results have emerged in accordance with theoretical discussions presented, but this relationship has not turned out to be very strong because the coefficients acquired did not have great explanatory skills for economic phenomena.

scholarly journals The Impact of the Interaction of Financial and Industrial Structure on Economic Growth – Evidence from China

2021 ◽  
Vol 251 ◽  
pp. 01101
Author(s):  
Yiqian Tan ◽  
Fan Jiang
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Financial Structure ◽  
Growth Speed ◽  
Matching Effect ◽  
Industrial Upgrading ◽  
Slowing Down ◽  
Using Data ◽  
The Impact ◽  
The Relationship

In recent years, China’s economic growth speed has been slowing down, leading to the problems of overcapacity and unbalanced regional economic development, and the mismatch between industrial and financial structure is becoming intense. This paper, starting with the relationship among economic growth, industrial structure and financial structure, summarizes the research by the former scholars. On this basis, by using data of 31 provincial panel data in China from 2007 to 2016, the article aims to find out the relationship between the industrial structure and economic growth, the relationship between the financial structure and economic growth and the relationship between the interaction of financial and industrial structure and economic growth. Finally, the conclusions of this paper are obtained that the interaction between the financial structure and the industrial structure can promote the economic growth significantly. However, the matching effect of the financial structure and industrial structure in China has not been completely formed, and the industrial upgrading should be guided to be structurally reformed through the policy.

scholarly journals The Impacts of Land Use Patterns on Water Quality in a Trans-Boundary River Basin in Northeast China Based on Eco-Functional Regionalization

2018 ◽  
Vol 15 (9) ◽  
pp. 1872 ◽  
Author(s):  
Peixuan Cheng ◽  
Fansheng Meng ◽  
Yeyao Wang ◽  
Lingsong Zhang ◽  
Qi Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Basin ◽  
Natural Environment ◽  
Flow Region ◽  
High Flow ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Impact ◽  
Degraded Water Quality

The relationships between land use patterns and water quality in trans-boundary watersheds remain elusive due to the heterogeneous natural environment. We assess the impact of land use patterns on water quality at different eco-functional regions in the Songhua River basin during two hydrological seasons in 2016. The partial least square regression indicated that agricultural activities associated with most water quality pollutants in the region with a relative higher runoff depth and lower altitude. Intensive grazing had negative impacts on water quality in plain areas with low runoff depth. Forest was related negatively with degraded water quality in mountainous high flow region. Patch density and edge density had major impacts on water quality contaminants especially in mountainous high flow region; Contagion was related with non-point source pollutants in mountainous normal flow region; landscape shape index was an effective indicator for anions in some eco-regions in high flow season; Shannon’s diversity index contributed to degraded water quality in each eco-region, indicating the variation of landscape heterogeneity influenced water quality regardless of natural environment. The results provide a regional based approach of identifying the impact of land use patterns on water quality in order to improve water pollution control and land use management.

Constraints to Economic Growth in South Africa

2021 ◽  
pp. 110-134
Author(s):  
Kenneth Creamer
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Industrial Structure ◽  
Commodity Price ◽  
Structural Factors ◽  
Weak State ◽  
Policy Interventions ◽  
Macroeconomic Imbalances ◽  
History Of ◽  
The Impact

This chapter analyses the drivers and constraints on the rate of economic growth in South Africa from the 1950’s apartheid-era through to the democratic period post-1994. Key structural factors identified as impacting on the rate and composition of economic growth include the country’s history of racial injustice and exclusion, its industrial structure and linkages to the global commodity price cycle, the evolution of macroeconomic imbalances and related infrastructure investment failures, and the impact of weak state capacity and corruption. Thereafter, the chapter outlines a number of strategic policy interventions for overcoming constraints to inclusive economic growth in South Africa.

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