scholarly journals Stride of Service Sector in Nepal’s Trajectories of Structural Change

2018 ◽  
pp. 69-98
Author(s):  
Madhav Prasad Dahal
Keyword(s):  
Structural Transformation ◽  
Service Sector ◽  
Time Series Data ◽  
Value Added ◽  
Developed Countries ◽  
Policy Implications ◽  
Series Data ◽  
Economic Sectors ◽  
Distributed Lag ◽  
Gross Value Added

Agriculture, manufacturing and service sectors are the major economic sectors of a country. The long held view is that economies’ development trajectories move from agriculture to manufacturing to services. These conclusions are primarily based on the studies of developed countries. However more recent studies relating to developing countries have brought evidences that the structural transformation path is not linear as experienced by today’s developed countries. Nepal is not an exception is experiencing the waves of sector-wise structural transformation. Using time series data of the period 1975-2016 of the economy of Nepal this paper analyses the association between gross value added and service sector value added in the analytic-framework of the autoregressive distributed lag (ARDL) to cointegration. The empirical result reveal a cointegrating relationship between real gross value added and service sector value added. Result also show service sector enhancing role of education and export trade of Nepal. The paper finally draws few policy implications essential for service sector sustainability to support overall economic growth.Economic Journal of Development Issues Vol. 21 & 22 No. 1-2 (2016) Combined Issue

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

scholarly journals The Role of Technical Innovation and Development of Industrial Sector in Korean International Business

2021 ◽  
Vol 22 (1) ◽  
pp. 55-73
Author(s):  
Ali Mohammed Khalel Al-Shawaf ◽  
Tahira Yasmin
Keyword(s):  
Time Series Data ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Industrial Sector ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Significance Level

With the pace of development and competitiveness, innovation plays an important role to capture the market share. Various countries have effective strategies to enhance Research and Development (R&D) and exchange value added products in international market. So, based on this the aim of this research is to examine the role of R&D, industrial design and charges for intellectual property in innovative exports in South Korean economy. Time series data for the period 1998 to 2017, Ordinary Least Square (OLS) and Generalized Method of Moments (GMM) models are used to determine the dynamic interrelationship among the study variables. In summary, the overall results show that there is co-integration rank of in both trace test and value test at 1% significance level. Moreover, OLS and GMM findings depict that there is significant and positive coefficient for ID & RD which represent that they have positive impact on HT. Whereas, the IP displays a negative and significant relationship with high technology exports accordingly. Lastly, the diagnostic tests show that model is stable for the study time period and result is reliable. The current study also suggests some policy implications which can enhance innovative export products of South Korea while enhancing R&D.

scholarly journals Structural Transformation Path Across Countries: Is It Systematic Pattern

2021 ◽  
Author(s):  
Altaf Hussain Padder ◽  
B Mathavan
Keyword(s):  
Structural Transformation ◽  
Low Income ◽  
Service Sector ◽  
Developed Countries ◽  
Industrial Sector ◽  
Low Income Countries ◽  
Economic Sectors ◽  
Middle Income ◽  
Sectoral Output ◽  
The Developed Countries

Abstract The structural transformation across the economic sectors is one of the prominent features that go together with economic development. The paper scrutinizes whether developing and low-income countries follow the similar path and pattern of structural transformation by which the developed countries are following or followed this threshold and are now experiencing a shift from the industrial sector to the service sector. The structural transformation paths of developed countries are almost identical, but the pattern of sectoral output shares varies from that of developing countries. The research reveals a fascinating finding i.e., low-income countries outperform middle-income countries and some major countries in terms of the pace of structural transformation from agriculture to service sector.

scholarly journals Fiscal Decentralization, Institutional Quality, and Government Size: An Asymmetry Analysis for Asian Economies

2020 ◽  
Author(s):  
Sidra Sohail ◽  
Sana Ullah ◽  
Ilhan Ozturk ◽  
Attiya Yasmin Javid
Keyword(s):  
Time Series Data ◽  
Fiscal Decentralization ◽  
Institutional Quality ◽  
Policy Implications ◽  
Series Data ◽  
Government Size ◽  
Distributed Lag ◽  
Long Run ◽  
Positive Shock ◽  
Negative Shock

Abstract The aim of this study is to examine the asymmetric effects of fiscal decentralization and institutional quality on government size by employing asymmetric autoregressive-distributed lag (ARDL) methodology by using the time series data of Asain economies from 1984 to 2017. The results show that positive shocks in expenditures decentralization (ED) enhance government size in Japan, Kazakhstan, Thailand, Turkey, and reduces it in Korea, Rep. in long run. While negative shock in ED reduces government size in Pakistan, Thailand, Turkey and increases it in Kazakhstan and Mongolia in long run. Whereas asymmetric results in the long show that a positive shock in revenue decentralization (RD) increase government size in Pakistan, Japan, Kazakhstan, Thailand, and Turkey, and a negative shock in RD is also decreased government size in Pakistan, Mongolia, Thailand, and Turkey. The results also disclosed that positive shock in institutional quality (IQ) increases government size in Azerbaijan, Japan, Thailand and negative shock in IQ also increases government size in Pakistan, Azerbaijan, Japan, Kazakhstan, Thailand, in the long run. While short-run asymmetric results of fiscal decentralization and institutional quality on government size have robust in the public sector. Based on the empirical outcomes, some economic policy implications are proposed for the provincial and federal governments of Asain economies.

scholarly journals Determinants of Urbanization in Pakistan: Empirical evidence from ARDL model

2021 ◽  
Author(s):  
S M Nazmuz Sakib
Keyword(s):  
Urban Areas ◽  
Energy Demand ◽  
Time Series Data ◽  
Policy Implications ◽  
Gdp Per Capita ◽  
Series Data ◽  
Literacy Rate ◽  
Distributed Lag ◽  
Short Run ◽  
Per Capita

This paper is intended to investigate the determinants of urbanization in Pakistan using the annual time series data from 1973 to 2018. Our aim with this paper is to analyze the short run and long run relationship between urbanization and its key determinants. We employed the ARDL (Autoregressive Distributed Lag) model for estimation purpose. We applied a cointegration approach i.e., the ARDL bounds test to confirm the relationship between urbanization (dependent variable) and other independent variables including GDP per capita growth, unemployment, literacy rate and energy demand. Diagnostic tests ensured the statistical soundness and validity of model. This study concluded that, in short run, the GDP per capita growth, literacy rate and energy demand positively influence the urbanization, while unemployment in urban areas is negatively associated with urbanization. Some policy implications are drawn, and some suggestions are given to deal with the substantial challenges of urbanization.

Service Sector Performance, Industry and Growth in Nigeria

2020 ◽  
Vol 11 (1) ◽  
pp. 31-45
Author(s):  
Oluseun A Ishola ◽  
Modinat O Olusoji
Keyword(s):  
Public Administration ◽  
Service Sector ◽  
Time Series Data ◽  
Empirical Studies ◽  
Industrial Sector ◽  
Policy Implications ◽  
Series Data ◽  
Industrial Sectors ◽  
Sector Performance ◽  
The Individual

This article extends previous empirical studies on service-industrial sector interactions and their impact on growth. It provides evidence from quarterly time series data using OLS, from 2010 to 2016 to account for new subsectors introduced from 2010 following the rebasing of the Nigerian economy. The article employs a disaggregated model to capture the individual productivities of subsectors. Series stationarity was determined with the ADF and PP test, thereafter Johansen technique was applied. The results indicate that while both services and the industrial sector contributed significantly to the economic growth (GDP) of Nigeria, some subsectors i.e. public administration, professional, scientific and technical services, transport (road, rail, pipeline, air, water), utilities (electricity, gas, and water supply, sewage, waste management) were found to be deficient. Finally, this article draws some policy implications to further strengthen the service and industrial sectors so as to maximise the potentials therein through the prescription of sector-specific policies.

scholarly journals Development of the service sector in Poland compared to other European Union countries: an extended analysis

2020 ◽  
Vol 185 (9-10) ◽  
pp. 15-26
Author(s):  
Agata Szczukocka ◽  
Keyword(s):  
European Union ◽  
Economic Development ◽  
Service Sector ◽  
Value Added ◽  
Developed Countries ◽  
Retail Trade ◽  
Services Sector ◽  
Gross Value Added ◽  
European Union Countries ◽  
The Creation

Introduction. In the recent years, many changes in the economic transformations that can be treated as evidences of the country’s economic development were observed in the European Union member states. The service sector also experienced many changes. The nature of services is constantly changing, new types of services keep appearing, but at the same time many of them suffer from lack of demand and disappear. The role of services is more and more significant in the socio-economic development as well as in individuals’ lives, hence, this is a relevant issue and should be studied extensively. The purpose of the paper is to discuss the transformations taking place in the services sector in Poland against other European Union countries and to analyze internal changes within the sector. Methods. Taken in this paper attempt to assess the development of the services sector is based on the analysis of the economic indicators, mainly the gross value added and employment rates. The study presents the results of the research on the development of the service sector in years 2009-2019. The directions and scope of changes taking place in particular services sector sections were analyzed. The results of the conducted research show that the determinant of the level of the service sector development is not only its high share in the three-sector structures, but also internal changes observed in the sector itself. The individual sections contribution to the creation of the gross value added and the level of employment vary greatly. The dominant activity among service entities in terms of value added is commercial activity. Moreover, the analysis of the service sector identifies which sections have the greatest impact on the service sector development. These sections include: wholesale and retail trade, transport and warehouse management, as well as professional, scientific and technical activities. Conclusion. Based on the research, it was found that the share of the service sector in the structures of economies of highly developed countries is prevailing. It is indicated by the increase in employment in this sector, the growing share in the creation of gross value added, as well as the number of service enterprises. The service sector stimulates the development of the economy, and its condition proves the dynamics of social and economic development.

scholarly journals Empirical Implications of Decentralization Dimensions and the Role of Political Institutions in the Economic Growth of Pakistan

2021 ◽  
Vol 4 (1) ◽  
pp. 52-80
Author(s):  
Muhammad Shahid ◽  
Dr Rukhsana Kalim
Keyword(s):  
Economic Growth ◽  
Political Institutions ◽  
Time Series Data ◽  
Allocative Efficiency ◽  
Policy Implications ◽  
Political Freedom ◽  
Series Data ◽  
Distributed Lag ◽  
The Impact

Decentralization is the fundamental policy variable used to enhance the allocative efficiency through public spending / tax priorities, subject to the local demand. The current study evaluates the impact of the various dimensions of decentralization on the economic growth of Pakistan for the years 1972-2018. Ng-Perron tests and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) were applied to fix the unit root problem in the time series data. To find the cointegration among decentralization, the role of institutions, and economic growth the Autoregressive Distributed Lag Approach (ARDL) was used. The outcomes suggested that tax decentralization is a growth promoting policy. On the contrary, administrative and political decentralization negatively affect the economic growth. The analysis shows that political freedom also has a growth retarding impact on the economy. The current study is useful regarding the policy implications of the process of decentralization.

Does mobile money business influence non-performing loans in the traditional banking sector? Evidence from Ghana

2020 ◽  
Vol 15 (4) ◽  
pp. 171-188
Author(s):  
Rexford Kweku Asiama ◽  
Anthony Amoah ◽  
Godson Ahiabor
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Policy Implications ◽  
Series Data ◽  
Mobile Money ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Business Operations ◽  
Long Run

The study analyzes the influence of mobile money business on the growth of non-performing loans in Ghana. Quarterly time-series data from 2000-2018 are used. This secondary data was obtained from the the New International Database of Financial Fragility and the Bank of Ghana online database. In the absence of data on quarterly volumes of mobile money transactions or the estimated number of firms, we present groundbreaking macro-level evidence of how mobile money business operations contribute to the problem of nonperforming loans in Ghana. We estimated an autoregressive distributed lag model (ARDL) and find that mobile money business operations positively influence non-performing loans in Ghana. This influence persists in the long-run and raises some policy implications for the banking sector in the country. The paper recommends the need for regulators to develop a policy that creates a well-connected and transparent financial system.

Relating energy consumption to real sector value added and growth in a developing economy

2019 ◽  
Vol 13 (1) ◽  
pp. 166-182 ◽  
Author(s):  
Ebere Ume Kalu ◽  
Pius Bala Daniel ◽  
Uchenna Florence Nwafor ◽  
Chinwe R. Okoyeuzu ◽  
Okoro E.U. Okoro ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Time Series Data ◽  
Value Added ◽  
Industrial Sector ◽  
Series Data ◽  
Content Type ◽  
Development Indicators ◽  
Distributed Lag ◽  
Bound Test

Purpose The main aim of this study was to examine whether any relationship exists between energy consumption and value added of the agricultural and industrial sector as well as the overall growth rate of the Nigerian economy. Design/methodology/approach The study used annualized time series data from 1971 to 2014 drawn from the World Bank Development Indicators, adopting an autoregressive distributed lag technique in the data analyses as well as the bound test and error correction representation. Findings There is a very strong evidence of the existence of a long-run relationship between energy consumption and indicators of economic growth. There are very strong proofs that economic growth and agricultural value added adjust to the shocks and dynamics of the studied energy-consumption-related variables while manufacturing value added proved otherwise. Originality value No study to the best of our knowledge has brought together aggregate growth, agricultural value added and manufacturing value added in the investigation of the energy consumption and economic growth nexus in one study using the Nigerian stylized economic environment. This represents the value added of this study and shows its originality.

Sign in / Sign up

Export Citation Format

Share Document