scholarly journals Agricultural R&D, spatial spillover and regional economic growth in different R&D sectors of performance: evidence from a spatial panel in regions of the EU-28

2018 ◽  
Vol 64 (No. 4) ◽  
pp. 163-169 ◽  
Author(s):  
Anousheh Shahrzad ◽  
Hojabr-Kiani Kambiz ◽  
Mojtahed Ahmad ◽  
Ranjbar Homayoun
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Regional Growth ◽  
Regional Economic Growth ◽  
Business Enterprise ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Spatial Panel ◽  
Economic Output ◽  
The Impact

Agricultural R&D has been identified as an important determinant of economic output in the agricultural sector. Surprisingly, in previous studies, spatial spillover associated with R&D spending in the agricultural sector has not been taken into account. This paper investigates the effects of spatial spillover of agricultural R&D on regional economic growth across EU-28 NUTS-II regions in the period 1995–2014. In particular, we extend previous studies by considering spillover in all sectors of agricultural R&D performance including business enterprise, government and higher education. The spatial Durbin panel data model is employed to estimate brooders effect including direct and indirect effects. Empirical results show a positive effect of agricultural R&D and its spatial spillover on regional growth in all performance sectors. Moreover, the impact of spatial spillover of agricultural R&D on regional growth depends on the performance of the R&D sectors; positive spillovers are stronger in the business enterprise sector. Finally, the interaction effect between the economic output of the agricultural sector of each region with that of its neighbours is significantly positive.  

scholarly journals Analysis of Superior Commodities in Agricultural Sector in Some Districts of North Sumatera Province

2020 ◽  
Vol 3 (2) ◽  
pp. 1054-1066
Author(s):  
Nela Permata Sari Lubis ◽  
Eko Wahyu Nugrahadi ◽  
M. Yusuf
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Endogenous Development ◽  
Location Quotient ◽  
Regional Economic ◽  
Economic Output ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
North Sumatra

Realization of regional economic development requires policies that are endogenous development. Each region has a base sector as the main driving force in economic growth. The base sector must have resilience between other sectors and have a high contribution to the formation of total regional economic output. North Sumatra is one of the provinces in Indonesia which has a tendency towards economic structure in the agricultural sector. Viewed from the field of business, the agricultural sector provides the highest contribution in the formation of GRDP. North Sumatra has 25 districts with a variety of geographical conditions having varied natural resources that need to be intensified and explored. The purpose of this study is to analyze the leading commodities of the agricultural sector and find out how much the impact of the leading sector on the growth of North Sumatra GRDP in the period 2014 - 2018. The method of analysis in this study uses the Location Quotient (LQ) analysis, Revelead Comparative Advantage (RCA) analysis, and Panel Data Regression Analysis. The estimation results show that the agriculture, livestock, hunting and services sub-sectors, the forestry sub-sector and the fisheries sub-sector have a positive and significant effect on the economic growth of the province of North Sumatra. The economic growth variables can be explained by 89 percent by the variables of the agriculture, livestock, hunting and service subsectors, the forestry subsector and the fisheries subsector while the rest are explained by variables not included in this study.

scholarly journals The nature of publicly funded innovation and implications for regional growth

2018 ◽  
Vol 28 (1) ◽  
pp. 6-21 ◽  
Author(s):  
Chay Brooks ◽  
Cristian Gherhes ◽  
Tim Vorley ◽  
Nick Williams
Keyword(s):  
Economic Growth ◽  
Business Model ◽  
Regional Growth ◽  
Business Model Innovation ◽  
Regional Economic Growth ◽  
City Region ◽  
Regional Innovation ◽  
Regional Economic ◽  
Content Type ◽  
The Impact

Purpose The aim of this paper is to unpack the nature of business innovation and understand the impact on regional innovation and competitiveness. Design/methodology/approach The paper is based on a qualitative study of Advanced Manufacturing and Advanced Materials businesses in the Sheffield City Region (UK). Interviews were conducted with 23 firms in exploring how innovation in the firm translates to innovation-led regional economic growth. Findings The paper demonstrates that there is a tendency of owner managers to focus on innovation in terms of the development of new products, processes and/or services. Many of the businesses interviewed were technologically innovative, yet there was little evidence of wider business model innovation. This, the authors conclude, stymies regional innovation and with it regional economic growth. Research limitations/implications This study is based on a case study of the Sheffield City Region and is not generalizable, but offers insights into the nature of business model innovation which are valuable in generating questions for further research. Practical implications The paper highlights the need to think of innovation in broader terms and the scope of business model innovation to not only improve the performance of firms but also regional economic growth. Originality/value Business model innovation is a growing domain of the literature, and this paper highlights how narrow interpretations of innovation may serve to limit growth business growth, and with it regional economic growth.

scholarly journals Networks and regional economic growth: A spatial analysis of knowledge ties

2017 ◽  
Vol 49 (6) ◽  
pp. 1247-1265 ◽  
Author(s):  
Robert Huggins ◽  
Piers Thompson
Keyword(s):  
Economic Growth ◽  
Regional Growth ◽  
Evidence Base ◽  
Knowledge Networks ◽  
Regional Economic Growth ◽  
Network Systems ◽  
Regional Economic ◽  
Organisational Knowledge ◽  
The Impact

In recent years, increased attention has been given to role of inter-organisational knowledge networks in promoting regional economic growth. Nevertheless, the empirical evidence base concerning the extent to which inter-organisational knowledge networks influence regional growth is at best patchy. This article utilises a panel data regression approach to undertake an empirical analysis of economic growth across regions of the UK. Drawing on the concept of network capital, significant differences in the stocks of network capital and flows of knowledge within and across regions are found, which are significantly associated with regional rates of economic growth. The analysis finds that both inter and intra-regional networks shape regional growth processes, highlighting the role of both embedded localised linkages and the importance of accessing more geographically distant knowledge. The study adds weight to the suggestion that one of the most interesting implications of endogenous growth theory relates to the impact of the spatial organisation of regions on flows of knowledge. It is concluded that the adoption of a relational approach to understanding differing economic geographies indicates that network systems are a key component of the regional development mix.

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.

Spatial spillover and regional economic growth in China

2012 ◽  
Vol 23 (4) ◽  
pp. 982-990 ◽  
Author(s):  
Chong-En Bai ◽  
Hong Ma ◽  
Wenqing Pan
Keyword(s):  
Economic Growth ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Spatial Spillover

scholarly journals Model Pertumbuhan Ekonomi Indonesia: Peranan Ketergantungan Spasial

2019 ◽  
Vol 19 (1) ◽  
pp. 62-83
Author(s):  
Aspiansyah Aspiansyah ◽  
Arie Damayanti
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Growth Model ◽  
Spatial Dependence ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Economic Growth Model ◽  
Per Capita

This study aims to examine the role of spatial dependence on Indonesia’s regional economic growth based on panel data of all provinces in Indonesia during 1990–2015. By using spatial durbin model, the authors found that spatial dependence plays an important role in achieving regional economic growth in Indonesia. Indonesia’s regional economic growth model that controls spatial dependence, yields better estimates than growth model that does not control spatial dependence. The researchers also found positive spatial spillover to Indonesia’s regional economic growth sourced from other region’s economic growth and initial per capita incomes, as well as population growth in other regions. ============================ Penelitian ini bertujuan untuk mengkaji peranan ketergantungan spasial terhadap pertumbuhan ekonomi regional Indonesia berdasarkan data panel seluruh provinsi di Indonesia selama tahun 1990–2015. Dengan menggunakan model durbin spasial, penulis menemukan bahwa ketergantungan spasial berperan penting dalam pencapaian pertumbuhan ekonomi regional di Indonesia. Model pertumbuhan ekonomi regional Indonesia yang mengontrol ketergantungan spasial menghasilkan estimasi yang lebih baik daripada model pertumbuhan ekonomi regional Indonesia yang tidak mengontrol ketergantungan spasial. Peneliti jugamenemukan terjadinya spatial spillover yang positif terhadap pertumbuhan ekonomi regional Indonesia yang bersumber dari pertumbuhan ekonomi wilayah lain, pendapatan per kapita awal dari wilayah lain dan pertumbuhan penduduk wilayah lain.

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