scholarly journals Finansowanie południowokoreańskiego cudu gospodarczego – w świetle rekomendacji konsensusu waszyngtońskiego

2017 ◽  
Vol 5 (1) ◽  
pp. 67-77
Author(s):  
Marta Kightley
Keyword(s):  
Economic Growth ◽  
Industrial Development ◽  
High Performance ◽  
Industrial Structure ◽  
Main Tool ◽  
Building Blocks ◽  
Developmental State ◽  
Private Sector Investment ◽  
Local Companies ◽  
Banking Credit

This paper addresses the topic of the methods used to finance accelerated economic growth in South Korea during Park Chung Hee’s rule (1961–1979). The author describes government policy concerning foreign direct investment and banking credit and takes a position in the dispute between neoclassical and statist economists concerning the mechanisms of the Korean economic miracle. Discussing the issue of financing Korean industrial development, she refers to the economic policy prescriptions described in the Washington Consensus. The author argues that not only did Korea not comply with these prescriptions, but contradictory measures constituted the building blocks of its developmental state policy. The decision to base economic development on local companies facilitated the creation of a comprehensive and strong industrial structure which enabled high economic growth for the following decades. Credit policy implemented by state-owned banks was the main tool for coordinating private-sector investment decisions and ensuring high performance.

scholarly journals An Empirical Study of the Relationship among Population Mobility, Industrial Structure Upgrading, and Economic Growth – Based on the SPVAR Model

2021 ◽  
Vol 4 (4) ◽  
pp. 14-25
Author(s):  
Bowen Xu ◽  
Yang Lu
Keyword(s):  
Economic Growth ◽  
Industrial Development ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Space Time ◽  
Population Mobility ◽  
Vector Autoregressive ◽  
High Level ◽  
The Impact ◽  
Industrial Structure Upgrading

Based on the inter-provincial panel data for 31 provinces in China from 2000 to 2019, and incorporating geospatial factors, a spatial panel vector autoregressive (SPVAR) model consisting of population mobility, industrial structure upgrading, and economic growth is constructed. The space-time impulse response function is used to analyze the space-time conduction of exogenous variables on the impact of three endogenous variables. The study found that first, the population influx barely benefited the industrial structure upgrading and economic growth. Second, the upgrading of the industrial structure would aggravate the population mobility in the province, causing low-level laborers to leave the province in short-term, but in long-term, there would be influx of talents. Third, the economic growth in developed regions plays a significant role in promoting the industrial development of their province and population-rich provinces, but it has less impact on provinces with high-level industrial structure. Finally, policy recommendations are provided in regard to the benign interaction among population mobility, industrial structure upgrading, and economic growth in addition to clarifying the idea of economic development, implementing correct population policies, and promoting the coordinated regional development.

Rethinking the Taiwanese Developmental State

2004 ◽  
Vol 177 ◽  
pp. 91-114 ◽  
Author(s):  
Yongping Wu
Keyword(s):  
Economic Growth ◽  
Public Policy ◽  
Private Sector ◽  
Industrial Policy ◽  
Industrial Structure ◽  
Developmental State ◽  
The State ◽  
Political Strategies

The uniqueness of Taiwan's industrialization is that small and medium-sized enterprises (SMEs) had been the major contributors to exports. What has been responsible for the success of the SMEs? How far and in what ways did the state contribute to their success: can it be attributed to the government's industrial policy? The statist account of Taiwan's development, a dominant approach to explain its economic growth, is weak in answering these questions. This article argues that the existence of a unique industrial structure was key in the explanation of Taiwan's SME-led exports. The industrial structure was basically a consequence of the state's political strategies that determined its public policy towards the private sector. It argues that the market rather than industrial policy was the explanation of the industrial success of SMEs; the economic bureaucracy was a world of politics rather than a range of monolithic institutions; and strongman tactics rather than institutions were the source of state steering capacity and were responsible for the success of industrial policy. It concludes that Taiwan's development was a “politically inspired industrial success” rather than a state-led development.

scholarly journals An Empirical Study on Dynamic Evolution of Industrial Structure and Green Economic Growth—Based on Data from China’s Underdeveloped Areas

2021 ◽  
Vol 13 (15) ◽  
pp. 8154
Author(s):  
Gefu Liang ◽  
Dajia Yu ◽  
Lifei Ke
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Industrial Development ◽  
Industrial Structure ◽  
Developed Countries ◽  
Economic Transformation ◽  
Factor Productivity ◽  
Underdeveloped Areas ◽  
The Relationship ◽  
Industrial Structure Upgrading

From the experiences of developed countries or areas, advanced industrial structure is an effective way to promote economic transformation and high-quality growth. This paper uses the economic development data of seven underdeveloped provinces in China in 10 years to study the relationship between industrial structure upgrading, industrial structure rationalization and green economic growth. The result shows: (1) The relationship between the upgrading of industrial structure and green total factor productivity (GTFP) is a non-linear relationship that is difficult to fit. (2) There are two turning points in the relationship curve between industrial structure upgrading and green total factor productivity (these can be called “rationalization points”). (3) The “rationalization points” are affected by the rationalization of the industrial structure. (4) The “rationalization point” divides the relationship curve into three intervals. Within the threshold range [0.661, 0.673] of the rationalization of the industrial structure, the upgrading of the industrial structure promotes the increase of green total factor productivity, while outside the range, the upgrading of the industrial structure inhibits the increase of green total factor productivity. Therefore, industrial development in underdeveloped areas should first implement rationalization of industrial structure. After the rational adjustment of the industrial structure, we will then develop a high-level industrial structure to improve the green TFP.

The Influence of Housing Prices on Urban Competitiveness: Review and Prospects

2019 ◽  
Vol 07 (03) ◽  
pp. 1950009
Author(s):  
Pengfei NI ◽  
Yangzi ZHANG ◽  
Qingfeng CAO
Keyword(s):  
Economic Growth ◽  
Industrial Development ◽  
Industrial Structure ◽  
Urban Economics ◽  
Relevant Literature ◽  
Housing Prices ◽  
Urban Competitiveness ◽  
Factor Endowments ◽  
Specific Direction ◽  
The Impact

To examine the impact of housing prices on urban competitiveness, we first sort out the relevant literature on the compositions and performances of urban competitiveness. The internal compositions of urban competitiveness include factor endowments and industrial development. The external manifestations include market size, economic growth and productivity. Additionally, from the perspectives of urban economics and new economic geography, the theoretical basis of housing price’s impact on urban competitiveness is analyzed. On this basis, we analyze the mechanism and direction of housing price’s impact on urban competitiveness. The results show that most of the existing researches pay attention to the impact of housing prices on urban competitiveness through economic growth, industrial structure or production factors. However, there are differences in the specific direction of influence, and there is no research that considers the relationship of multiple influences.

scholarly journals Industrial policy, structural transformation and economic growth: evidence from China

2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Jinran Chen ◽  
Lijuan Xie
Keyword(s):  
Economic Growth ◽  
Industrial Policy ◽  
Industrial Development ◽  
Industrial Structure ◽  
Industrial Policies ◽  
Chinese Law ◽  
Positive Effects ◽  
Heterogeneous Effects ◽  
Important Means ◽  
The Impact

AbstractIndustrial policy is an important means for governments to promote industrial development and accelerate economic growth. This paper mainly uses the Chinese Law and Regulation Database as the source of the relevant laws and regulations of China’s industrial policies from 2003 to 2015. On this basis, it empirically examines the impact of industrial policies on economic growth. The study finds that China’s industrial policy has significant positive effects on economic growth and that industrial structure rationalization is an important channel of industrial policy to improve economic growth. The findings are also valid under a series of robustness tests and endogenous corrections. The results of heterogeneity tests confirm that there are heterogeneous effects pertaining to industrial policy on economic growth among different sub-regional areas, administrative levels, industrial development stages, and industrial policy types. Overall, this paper supports the hypothesis that industrial policy has positive effects on economic growth and, accordingly, provides a basis for industrial policy implementation.

Inter-country inequality as a dynamic process and the problem of post-industrial development

2018 ◽  
pp. 5-29 ◽  
Author(s):  
L. M. Grigoryev ◽  
V. A. Pavlyushina
Keyword(s):  
Economic Growth ◽  
Political Institutions ◽  
Industrial Development ◽  
Modern World ◽  
New Approach ◽  
Development Level ◽  
The World ◽  
Long Time ◽  
The Difference ◽  
Post Industrial

The phenomenon of economic growth is studied by economists and statisticians in various aspects for a long time. Economic theory is devoted to assessing factors of growth in the tradition of R. Solow, R. Barrow, W. Easterly and others. During the last quarter of the century, however, the institutionalists, namely D. North, D. Wallis, B. Weingast as well as D. Acemoglu and J. Robinson, have shown the complexity of the problem of development on the part of socioeconomic and political institutions. As a result, solving the problem of how economic growth affects inequality between countries has proved extremely difficult. The modern world is very diverse in terms of development level, and the article offers a new approach to the formation of the idea of stylized facts using cluster analysis. The existing statistics allows to estimate on a unified basis the level of GDP production by 174 countries of the world for 1992—2016. The article presents a structured picture of the world: the distribution of countries in seven clusters, different in levels of development. During the period under review, there was a strong per capita GDP growth in PPP in the middle of the distribution, poverty in various countries declined markedly. At the same time, in 1992—2016, the difference increased not only between rich and poor groups of countries, but also between clusters.

scholarly journals Exploring the Effects of Industrial Structure, Technology, and Energy Efficiency on China’s Carbon Intensity and Their Contributions to Carbon Intensity Target

2020 ◽  
Vol 12 (19) ◽  
pp. 8016
Author(s):  
Feng Wang ◽  
Min Wu ◽  
Jiachen Hong
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Historical Development ◽  
Industrial Development ◽  
Industrial Structure ◽  
Electricity Production ◽  
Mitigation Measures ◽  
Carbon Intensity ◽  
Intermediate Input ◽  
Residential Energy

To achieve the national carbon intensity (NCI) target, China should adopt effective mitigation measures. This paper aims to examine the effects of key mitigation measures on NCI. Using the input-output table in 2017, this paper establishes the elasticity model of NCI to investigate the effects of industrial development, intermediate input coefficients, energy efficiency, and residential energy saving on NCI, and further evaluates the contributions of key measures on achieving NCI target. The results are shown as follows. First, the development of seven sectors will promote the increase of NCI while that of 21 sectors will reduce NCI. Second, NCI will decrease significantly with the descending of intermediate input coefficients of sectors, especially electricity production and supply. Third, improving energy efficiency and residential energy saving degree could reduce NCI, but the latter has limited contribution. Fourth, the development of all sectors will reduce NCI by 10.11% in 2017–2022 if sectors could continue the historical development trends. Fifth, assuming that sectors with rising intermediate input coefficients would keep their coefficients unchanged in the predicting period and sectors with descending coefficients would continue the historical descending trend, the improvement of technology and management of all sectors will reduce NCI by 14.02% in 2017–2022.

scholarly journals Rural Economic Development Based on Shift-Share Analysis in a Developing Country: A Case Study in Heilongjiang Province, China

2021 ◽  
Vol 13 (4) ◽  
pp. 1969
Author(s):  
Donghui Lv ◽  
Huiying Gao ◽  
Yu Zhang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Industrial Structure ◽  
National Level ◽  
Structural Evolution ◽  
Industry Structure ◽  
Growth Effect ◽  
Heilongjiang Province ◽  
Competitive Effect ◽  
Rural Economic Development

Identification of local priorities within each potential sector and implementation of a targeted development policy would definitely accelerate rural economic growth. In this sense, it is useful to examine each region’s industrial structural evolution compared to the whole economy and aggregate industries. Shift-share analysis has been confirmed as a useful method to measure regional economic differences and analyze the contribution of industrial structure. This paper selects five representative counties in Heilongjiang province and applies shift-share decomposition to analyze the change in rural economic development from 2000 to 2018. The change of economic growth in each selected county is decomposed into three components: national growth effect, industrial structure effect, and competitive effect, taking the national level as the reference. The results showed the following: (1) the trend of rural economic growth fluctuated greatly for nearly 20 years, distinguished by a mismatch of industrial structure with competitiveness for the selected counties; rural economies with an inappropriate industrial structure did not experience strong growth, despite high competitive potential. (2) The low-end agricultural structure and secondary industry structure led to the loss of each competitive effect; the tertiary industry structure based on economic structure servitization was rational, but the competitive effect did not work out. (3) Finally, this paper provided differentiated suggestions in accordance with local resources and priorities of the selected counties, so as to avoid excessive convergence and the lack of characteristics in industrial structure in rural transformation.

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