Peeking Backward: Regional Aspects of Industrial Growth in Post-Unification Italy

2003 ◽  
Vol 63 (4) ◽  
pp. 1059-1102 ◽  
Author(s):  
STEFANO FENOALTEA
Keyword(s):  
Labor Force ◽  
Industrial Production ◽  
Industrial Development ◽  
Industrial Structure ◽  
Initial Conditions ◽  
Industrial Growth ◽  
Concomitant Change ◽  
Comparative Advantages ◽  
Recycling Economy ◽  
Force Data

The new sectoral estimates of industrial production in 1871, 1881, 1901, and 1911 are regionally allocated using census labor-force data. The regional aggregates suggest that the “industrial triangle” emerged over these decades out of a traditional surplus-recycling economy. The concomitant change in the industrial rankings argues against attributing the regions' different paths to their different initial conditions; surprisingly, too, overall growth does not seem closely tied to industrial development. The disaggregated estimates suggest in turn that the industrial structure of the various regions remained relatively similar, as if comparative advantages were generically industrial rather than sector-specific.

scholarly journals The Political Economy of Industrial Development in Pakistan: A Long-Term Perspective

2009 ◽  
Vol 14 (Special Edition) ◽  
pp. 29-50 ◽  
Author(s):  
Imran Ali ◽  
Adeel Malik
Keyword(s):  
Political Economy ◽  
Foreign Aid ◽  
Industrial Development ◽  
Industrial Structure ◽  
Initial Conditions ◽  
Special Interests ◽  
Track Record ◽  
Low Levels

Private industrial development in Pakistan has a mixed track record. This paper presents a political economy overview of industrial development in Pakistan. Starting with an analysis of initial conditions, such as low levels of urbanization and out-migration of bourgeoisie, the paper looks at the ways in which policies were used to create advantages for elites and special interests. The paper also investigates the role of foreign aid in distorting industrial structure.

scholarly journals Industrial Production and Investment in Pakistan

1964 ◽  
Vol 4 (3) ◽  
pp. 462-490 ◽  
Author(s):  
G. F. Papanek
Keyword(s):  
United Nations ◽  
Industrial Production ◽  
Industrial Development ◽  
Large Scale ◽  
Value Added ◽  
Industrial Sector ◽  
Policy Formulation ◽  
High Rate ◽  
Small Scale ◽  
Industrial Growth

Development in Pakistan so far has been largely sustained by a rapidly growing industrial sector. From 1953 to 1960, the index for manufacturing has grown more rapidly in Pakistan than in any other country for which United-Nations statistics are published, except Japan. Admittedly, the reliability of such comparisons is limited and the high rate of Pakistan's industrial growth is partly a function of the low initial level of industrial development—if you start at zero, any increase means an infinite rate. But the United-Nations index starts in the middle 1950's when Pakistan already had a respectable industrial sector and the statistics are sufficiently reliable so one can say with some confidence ' that Pakistan had a rate of industrial growth matched by few countries in the recent past. A reasonably accurate measure of the growth in industrial production and investment in Pakistan is, therefore, of particular importance to economic analysis, policy formulation, or planning. The dynamism of the industrial sector has been due to what is called " large scale industry ". No reasonably reliable information exists on value added in "small scale industry", but various official , and unofficial guesses on its growth rate have ranged from a decline to a 3.5- per-cent annual increase. There would be near-universal agreement that "large scale industry" has grown much more rapidly than "small scale". The Survey, discussed later in this paper, confirms this conclusion. From 1947 to 1959, the value added by firms with assets of less than one million rupees increased only five-fold, while that added by larger firms increased more than fifteen times.

The impact of the digital economy on the development of Russian industry

2018 ◽  
Vol 34 (1) ◽  
pp. 3-9
Author(s):  
M. S. Abrashkin ◽  
A. A. Vershinin
Keyword(s):  
Automotive Industry ◽  
Industrial Production ◽  
Industrial Development ◽  
Digital Economy ◽  
Domestic Economy ◽  
Theoretical Substantiation ◽  
Russian Industry ◽  
Technological Structure ◽  
The Impact ◽  
Technological Paradigms

The article analyzes the market of computer technologies. The theoretical substantiation of the scientific category «digital economy» and its economic components was given. Identified patterns of development of the domestic economy on the basis of informatization, the change of technological paradigms and the dynamics of industrial production. Based on the materials of the automotive industry, the influence of the digital economy on the internal industrial and technological structure of the industry and the results of its activities was proved. Also, the paper presents the main problems of sustainable industrial development in the context of socio-technical and economic means of developing science and technology in Russia.

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.

Tax incentives for industrial production

2021 ◽  
Author(s):  
Roman Gereev ◽  
Milyausha Pinskaya
Keyword(s):  
Risk Management ◽  
Industrial Production ◽  
Financial Support ◽  
Industrial Development ◽  
Tax Incentives ◽  
The State ◽  
Tax Administration ◽  
Wide Range ◽  
Improve State ◽  
Theoretical Foundations

The monograph is devoted to the analysis of tax incentives, the use of which will help to achieve the economic goals of the state in the field of industrial support. The theoretical foundations of tax incentives for industrial development are considered, the effectiveness of tax incentives is evaluated, and measures to improve state financial support for industrial production are proposed. It is intended for a wide range of readers: specialists involved in tax risk management, economists in the field of industrial production, consultants in the field of taxation and tax administration, students and teachers of economic universities.

Private Enterprise Development in a One-Party Autocratic State: The Case of Alibaba Group in China’s E-Commerce

2018 ◽  
Vol 54 (01) ◽  
pp. 1850001
Author(s):  
FU LAI TONY YU
Keyword(s):  
Financial Stability ◽  
Industrial Development ◽  
Private Enterprise ◽  
Strong Support ◽  
Chinese Government ◽  
Industrial Growth ◽  
Party Members ◽  
Private Entrepreneurs ◽  
The Government ◽  
The One

This study attempts to explain China’s industrial development with special reference to e-commerce. It argues that in a one-party autocratic regime such as China, the collaboration between government officials and private entrepreneurs in strategic industries can promote industrial growth. Since Internet can jeopardize communist party’s goal of maintaining cohesiveness and absolute political power, the Chinese government has imposed surveillance on private operation in all IT operations. Specifically, in e-commerce industry, through collaborations with private enterprises, the communist party can “kill two birds in one arrow.” On the one hand, party members are able to preserve national security and maintain social and financial stability by closely monitoring the private enterprise operation. Moreover, party members can seize tangible and non-tangible benefits from the growth in e-commerce firms. On the other hand, private e-commerce enterprises, by building close connection with public officials and senior party members, can obtain strong support from the government, and thus boosting its business growth. This argument is applied to explain the miraculous growth of Alibaba Group, a private e-commerce enterprise in China. In particular, the paper attempts to show the relationship between the Chinese government and the private entrepreneur in the e-business development and how their collaboration enhances growth in the Internet market.

scholarly journals Coevolution of Economic and Industrial Linkages within the Land-Sea Industrial Structure of China

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3452
Author(s):  
Xue Jin ◽  
Shiwei Zhou ◽  
Ussif Rashid Sumaila ◽  
Kedong Yin ◽  
Xinman Lv
Keyword(s):  
Industrial Development ◽  
Industrial Structure ◽  
Southern China ◽  
Relational Model ◽  
Industrial Structures ◽  
Resource Endowment ◽  
Significant Difference ◽  
Spatial Differences ◽  
Industrial Linkages ◽  
Effects Of Feedback

The joint development of continental and marine economies has become an important driving force for the upgrading of industrial structures. However, because of the differences in resource endowment and development potential, developing industrial structures and the quality of economic development are uneven among regions. In this study, the added values of three land-sea industries in the three marine economic circles of northern, eastern, and southern China, were employed to clarify the evolutionary behavior of the industrial structure of these three circles on the land and sea; the synchronization, lag, equilibrium, and dislocation of developing the industrial structure were also explored which a gray relational model based on convex judgment and gray time difference analyses were used to construct a relational model from the static and dynamic aspects of the system, and the internal and external linkages of the industrial structure of the three circles were analyzed from the perspective of industrial correlation. The results show that: (1) Correlations among the linkages of the three economic circles in the marine industrial structure, both including and without temporal and spatial differences, and the marine feedback driver, differ markedly. (2) The effects of feedback for marine industrial development from the Eastern Marine Economic Circle were stronger, whereas those of the Southern Marine Economic Circle were weak and those of the Northern Marine Economic Circle were ambiguous. (3) A significant difference was observed in the degree of coevolution among the land-sea industrial structures of these areas. The Northern Marine Economic Circle exhibited a slightly higher degree of coevolution than the other two economic circles, showing a stable trend of coevolution and wide spatial development. The eastern and southern circles displayed high degrees of coordination in developing their industrial structures. The research results provide a reference for regional adjustment and optimization of industrial structure.

scholarly journals Carbon Productivity and Mitigation: Evidence from Industrial Development and Urbanization in the Central and Western Regions of China

2021 ◽  
Vol 13 (16) ◽  
pp. 9014
Author(s):  
Yongjiao Wu ◽  
Huazhu Zheng ◽  
Yu Li ◽  
Claudio O. Delang ◽  
Jiao Qian
Keyword(s):  
Carbon Emissions ◽  
Industrial Development ◽  
Industrial Structure ◽  
Spillover Effects ◽  
Spatial Lag Model ◽  
Workforce Allocation ◽  
Lag Model ◽  
Using Data ◽  
Shape Curve ◽  
Carbon Productivity

This paper investigates carbon productivity (CP) from the perspectives of industrial development and urbanization to mitigate carbon emissions. We propose a hybrid model that includes a spatial lag model (SLM) and a fixed regional panel model using data from the 17 provinces in the central and western regions of China from 2000 to 2018. The results show that the slowly increasing CP has significant spatial spillover effects, with High–High (H–H) and Low–Low (L–L) spatial distributions in the central and western regions of China. In addition, industrial development and urbanization in the study area play different roles in CP, while economic urbanization and industrial fixed investment negatively affect CP, and population urbanization affects CP along a U-shape curve. Importantly, the results show that the patterns of industrial development and urbanization that influence CP are homogenous and mutually imitated in the 17 studied provinces. Furthermore, disparities in CP between regions are due to industrial workforce allocation (TL), but TL has been inefficient; industrial structure upgrades are slowly improving conditions. Therefore, the findings suggest that, in the short term, policymakers in China should implement industrial development policies that reduce carbon emissions in the western and central regions by focusing on improving industrial workforce allocation.

Evaluation of industry tendencies in Uzbekistan

2020 ◽  
Vol 8 ◽  
Author(s):  
Radjabov Bunyod Abduhalilovich
Keyword(s):  
Regression Model ◽  
Least Squares ◽  
Industrial Production ◽  
Industrial Development ◽  
Least Squares Method ◽  
Development Trends ◽  
Industry Development

The article proposes a method for assessing trends in industrial development in Uzbekistan. The least-squares method of the regression model was used to estimate industry development trends. Development trends are assessed based on the index of change in the final and theoretical values of industrial production.

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