House Prices, Bank Instability, and Economic Growth: Evidence from the Threshold Model

CFA Digest ◽  
2013 ◽  
Vol 43 (3) ◽  
Author(s):  
Florian B. Schweizer
Keyword(s):  
Economic Growth ◽  
House Prices ◽  
Threshold Model

Innovation, institutions and economic growth in sub-Saharan Africa – an IV estimation of a panel threshold model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph Ato Forson ◽  
Rosemary Afrakomah Opoku ◽  
Michael Owusu Appiah ◽  
Evans Kyeremeh ◽  
Ibrahim Anyass Ahmed ◽  
...  
Keyword(s):  
Economic Growth ◽  
Developing Economies ◽  
Innovation Policy ◽  
Threshold Model ◽  
Sub Saharan Africa ◽  
Content Type ◽  
Panel Regressions ◽  
Sub Saharan ◽  
The Impact ◽  
The Relationship

PurposeThe significant impact of innovation in stimulating economic growth cannot be overemphasized, more importantly from policy perspective. For this reason, the relationship between innovation and economic growth in developing economies such as the ones in Africa has remained topical. Yet, innovation as a concept is multi-dimensional and cannot be measured by just one single variable. With hindsight of the traditional measures of innovation in literature, we augment it with the number of scientific journals published in the region to enrich this discourse.Design/methodology/approachWe focus on an approach that explores innovation policy qualitatively from various policy documents of selected countries in the region from three policy perspectives (i.e. institutional framework, financing and diffusion and interaction). We further investigate whether innovation as perceived differently is important for economic growth in 25 economies in sub-Saharan Africa over the period 1990–2016. Instrumental variable estimation of a threshold regression is used to capture the contributions of innovation as a multi-dimensional concept on economic growth, while dealing with endogeneity between the regressors and error term.FindingsThe results from both traditional panel regressions and IV panel threshold regressions show a positive relationship between innovation and economic growth, although the impact seems negligible. Institutional quality dampens innovation among low-regime economies, and the relation is persistent regardless of when the focus is on aggregate or decomposed institutional factors. The impact of innovation on economic growth in most regressions is robust to different dimensions of innovation. Yet, the coefficients of the innovation variables in the two regimes are quite dissimilar. While most countries in the region have offered financial support in the form of budgetary allocations to strengthen institutions, barriers to the design and implementation of innovation policies may be responsible for the sluggish contribution of innovation to the growth pattern of the region.Originality/valueSegregating economies of Africa into two distinct regimes based on a threshold of investment in education as a share of GDP in order to understand the relationship between innovation and economic growth is quite novel. This lends credence to the fact that innovation as a multifaceted concept does not take place by chance – it is carefully planned. We have enriched the discourse of innovation and thus helped in deepening understanding on this contentious subject.

scholarly journals Research on the Impact of Environmental Regulation and Technology Innovation on the Quality of Economic Growth

2021 ◽  
Author(s):  
Qingyang Wu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Fixed Effect Model ◽  
Paper Test ◽  
The Impact

Abstract：This paper uses the balanced panel data from 29 provinces (autonomous regions and municipalities) in China for a total of 17 years from 2000 to 2016 as a research sample, and establishes an empirical model to examine the impact of environmental regulations and technological innovation on the quality of economic growth. Then this paper test technological innovation as a threshold variable, in which play a regulatory role. Taking the provincial balanced panel data as a research sample, a fixed effect model, a system GMM model, and a panel threshold model were established for empirical testing and the robustness test. Based on the empirical results, this article draws the following conclusions: from a national perspective, environmental regulations and technological innovation can significantly promote the quality of economic growth; from a regional perspective, there are regional differences in impact effects. Under the constraints of environmental regulations, the promotion effect of technological innovation on the quality of economic growth will be reduced; the impact of environmental regulation on the quality of economic growth will have a "threshold effect", and environmental regulation can significantly promote the quality of economic growth only after crossing the threshold and the threshold of technological innovation.

scholarly journals Energy–Growth Nexus in the MENA Region: A Dynamic Panel Threshold Estimation

2021 ◽  
Vol 13 (22) ◽  
pp. 12444
Author(s):  
Qusai Mohammad Qasim Alabed ◽  
Fathin Faizah Said ◽  
Zulkefly Abdul Karim ◽  
Mohd Azlan Shah Zaidi ◽  
Mohammed Daher Alshammary
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Threshold Model ◽  
Clean Energy ◽  
High Energy ◽  
Mena Region ◽  
Dynamic Panel ◽  
Energy Growth ◽  
The Relationship

This study provides new evidence regarding the nonlinear relationship between energy consumption and economic growth in the Middle East and North Africa (MENA) region for the 1990–2014 period. The empirical estimation is conducted using a dynamic panel threshold model. We found one threshold in the relationship between energy consumption and economic growth and one threshold in the relationship between carbon dioxide (CO2) emissions and economic growth. The results indicate that energy consumption positively and significantly affects economic growth in the low energy consumption regime. In contrast, it has a negative and significant impact on economic growth in the high energy consumption regime. Moreover, CO2 emissions are positively and significantly related to economic growth in the low regime of CO2 emissions. Nevertheless, the relationship between CO2 emissions and economic growth in the high CO2 emissions regime is negative and significant. Therefore, policymakers should implement other effective energy policies, such as stricter regulations on CO2 emissions, increase energy efficiency, and replace fossil fuels with cleaner energy sources to avoid unnecessary CO2 emissions and combat global warming. Future studies should identify the root causes of failures and issues in real time for inflation and link the energy–growth nexus to achieving the 2030 Sustainable Development Goals (SDGs) Agenda, Goal 7: Affordable and Clean Energy.

Foreign direct investment, natural resources and economic growth: a threshold model approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arshad Hayat ◽  
Muhammad Tahir
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Natural Resources ◽  
Host Country ◽  
Natural Resource ◽  
Direct Investment ◽  
Positive Impact ◽  
Threshold Model ◽  
Resource Abundance ◽  
Content Type

PurposeThe aim of this paper is to investigate the contingency effect of natural resource abundance on the foreign direct investment (FDI)–growth relationship in a nonlinear (threshold) model.Design/methodology/approachThe authors use the fixed effect threshold model for panel data with annual frequency for 83 countries and estimate threshold level of natural resource abundance that split the sample and change the FDI–growth relationship.FindingsThe results show that FDI has a strong positive impact on the economic growth of the host country if the host country's natural resources export is below the statistically significant estimated threshold. However, this FDI-induced economic growth is watered-down if the countries natural resources export is larger than the estimated threshold.Originality/valueThe results show that FDI has a strong positive impact on the economic growth of the host country if the host country's natural resources export is below the statistically significant estimated threshold. However, this FDI-induced economic growth is watered-down if the countries natural resources export is larger than the estimated threshold. The results are robust for alternative indicators of natural resources, i.e. natural resources rents.

DOES RAIL TRANSPORT IMPACT HOUSE PRICES AND RENTS?

2021 ◽  
Vol 19 (16) ◽  
Author(s):  
Nursyazwani Abdullah Suhaimi ◽  
Nurul Hana Adi Maimun ◽  
Nurul Fazira Sa'at
Keyword(s):  
Economic Growth ◽  
Critical Review ◽  
House Prices ◽  
Noise Pollution ◽  
Rail Transport ◽  
Review Of The Literature ◽  
Travel Costs

Rail transport is one of the factors that boost economic growth. Increased accessibility while saving travel costs and time offered by rail transport attracts foreign and local investments, which lead to increased house prices and rents. Nonetheless, it is argued that noise pollution coming from rail transport may also reduce house prices and rents because these areas are less desirable for occupation and investment. Hence, this research aims to establish rail transport’s impact on house prices and rents through a critical review of the literature. An overview of previous studies shows that house prices and rents are significantly influenced by proximity to rail transports. This indicates that proximity to rail transports is accounted for when making house purchase and rent decisions. Thus, property valuers, planners, and developers should consider rail transport location in planning, developing, and valuing properties.

scholarly journals Does Renewable Energy Consumption Successfully Promote the Green Transformation of China’s Industry?

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 229
Author(s):  
Dongri Han ◽  
Tuochen Li ◽  
Shaosong Feng ◽  
Ziyi Shi
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Threshold Model ◽  
Energy Transition ◽  
Threshold Effect ◽  
Renewable Energy Consumption ◽  
Regional Energy ◽  
Economic Output ◽  
The Impact

The trade-off between economic growth and ecological improvement has always become an important and difficult issue for many countries, especially for developing countries. Due to a long-term extensive economic growth pattern, the regional resource allocation deviates from the optimal, especially the existence of energy misallocation, which hinders the maximization of economic output. Therefore, considering the characteristics and heterogeneity of resource endowments in different regions and increasing renewable energy consumption, that is, promoting energy transition, is it capable of sustainable development under China’s actual conditions? The exploration of the issue is a core step in the research of the impact of renewable energy on industrial green transformation. Based on the panel data of 30 regions in China from 2009 to 2016, this paper constructs a threshold model from the perspective of regional energy misallocation and empirically tests the nonlinear mechanism of renewable energy consumption to promote industrial green transformation. The results show that China’s energy allocation efficiency is low, there is a certain misallocation phenomenon, and the improvement effect in recent years is not satisfactory. Further, the relationship between renewable energy consumption and industrial green transformation is not a simple linear relationship, but a double threshold effect due to regional energy misallocation. In areas with severe energy misallocation, renewable energy consumption does not have a significant boost to industrial green transformation. Finally, this paper proposes the policy enlightenment of promoting industrial green transformation from the aspects of performance evaluation, market reform, and factor flow.

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