scholarly journals Investigating Undercurrents of Stationarity and Growth With Long-Term Panel Data

2021 ◽  
pp. 147078532110391
Author(s):  
Steven Dunn ◽  
Charles Graham ◽  
Magda Nenycz-Thiel ◽  
Arry Tanusondjaja
Keyword(s):  
Panel Data ◽  
Research Agenda ◽  
Marketing Theory ◽  
Scanner Data ◽  
Comprehensive Understanding ◽  
Brand Building ◽  
Long Run ◽  
Principal Source ◽  
Untapped Resource

There have been frequent calls in the literature for a more comprehensive understanding of marketing impact on long-term firm performance. Retail scanner data has been the principal source of empirical evidence in this strategic domain, but it cannot explain the behavioural shifts that underpin the sales dynamics it reports. With the availability of far larger and extended household panels, it is now possible to observe the effects of accumulating penetration on brand and category buying over many years. This type of data nevertheless presents theoretical and methodological challenges to researchers. In this article, we discuss an approach to extending established marketing theory to long-run repeat buying and then outline the inherent constraints of long-term panels. We illustrate these challenges using one-, five- and 10-year panel datasets and present a research agenda to progress explanatory theories of long-run brand building and category growth in this new but so far mostly untapped resource.

scholarly journals Public Consumption and Income in the Long Run: A Panel Data Study for Central African Countries

2019 ◽  
Vol 11 (6) ◽  
pp. 101
Author(s):  
Impawe Augustin
Keyword(s):  
Panel Data ◽  
Negative Impact ◽  
Panel Cointegration ◽  
Adjustment Process ◽  
African Countries ◽  
Fiscal Adjustment ◽  
Real Gdp ◽  
Long Run ◽  
Public Consumption

This article examines panel cointegration methods to study the long-run effect of public consumption on the real output of 10 Central African economies (ECCAS: CEMAC + 4) from 1990 to 2016. We integrate the investment in cointegration regression and take into account the transverse dependence in a panel data parameter. The results indicate on average that public consumption expenditure has a negative impact on long-term real GDP. Conversely, investment has a positive effect on income. Overall, the results show that a decrease in public consumption in the fiscal adjustment process has no effect on the growth of these economies.

Exchange rate volatility and exports from India: a commodity-level panel data analysis

2019 ◽  
Vol 12 (1) ◽  
pp. 23-44
Author(s):  
Chandan Sharma
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Exchange Rate Volatility ◽  
Nominal Exchange Rate ◽  
Exchange Rate Risk ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThis study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.Design/methodology/approachThe monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.FindingsThe empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.Practical implicationsReducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.Originality/valueUnlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.

scholarly journals HUBUNGAN KAUSALITAS KEMISKINAN, TINGKAT PENGANGGURAN, DAN PERTUMBUHAN EKONOMI DI PROVINSI SULAWESI SELATAN

2020 ◽  
Vol 16 (1) ◽  
pp. 13-23
Author(s):  
Akhmad Akhmad
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Causal Relationship ◽  
Vector Autoregression ◽  
Short Term ◽  
South Sulawesi ◽  
Long Run ◽  
Short And Long Term

Economic development basically aims to increase economic growth, reduce poverty and unemployment. Therefore the research aims to find out the causal relationship between economic growth, unemployment and poverty in the Southern Province. This research used panel data of 24 districts / cities in South Sulawesi Province during 2007 to 2018, which was obtained from the Central Statistics Agency. Data were then analyzed using Vector Autoregression analysis. The results showed that shocks to economic growth have an impact on reducing unemployment and poverty rates both short and long term. Meanwhile shocks to unemployment, have an impact on increasing poverty rates in the short and long term, and have an impact on declining economic growth in the short term, but slowly economic growth returns to the balance point. Furthermore, the shock to poverty also has an impact on increasing unemployment in the short term, but slowly leads to a point of convergence in the long run. It is better to make economic growth decrease in the short term, but slowly towards the point of balance in the long run.

The long-run relationship between farm size and productivity

2019 ◽  
Vol 11 (2) ◽  
pp. 373-386
Author(s):  
Wanjun Yao ◽  
Shigeyuki Hamori
Keyword(s):  
Panel Data ◽  
Inverse Relationship ◽  
Agricultural Productivity ◽  
Farm Size ◽  
Land Productivity ◽  
Content Type ◽  
Long Run ◽  
The Difference ◽  
The Relationship

Purpose The purpose of this paper is to examine the long-term relationship between farm size and productivity in China at the national level. Design/methodology/approach In contrast to the micro-data examination conducted by earlier literature, in this study, the authors use household aggregate panel data on 29 provinces in China for 1988–2012. Using the panel data PMG model, the authors control the factor of difference in land quality due to the fixed effect in each province, and the authors consider the difference in the long-run coefficients of farm size and land productivity rather than the difference in their short-run relationship. Thus, the authors examine the long-term relationship between farm size and productivity. Furthermore, the authors examine the robustness of this relationship in the long-term using samples of rice, wheat and corn production by region. Findings In contrast with the findings presented previously, the authors find that the relationship between farm size and agricultural productivity is statistically positive in the long term. Originality/value The relationship between farm size and agricultural productivity is a key research issue in agricultural and development economics. In China, many studies have provided evidence of the inverse relationship between farm size and agricultural productivity at the family farm level. However, this inverse relationship seems to reflect specific regions and specific periods in the relationship between farm size and land productivity. At the nationwide level, in the long-term, this is not an inverse but a positive relationship. It is desirable to expand farm size for the long-term development of agriculture.

ANALISIS PERTUMBUHAN EKONOMI, KEMISIKINAN, DAN KORUPSI DI NEGARA ASEAN LOWER MIDDLE INCOME

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Riska Dewi Putri ◽  
Hasdi Aimon
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Variance Decomposition ◽  
Var Model ◽  
Short Term ◽  
Middle Income ◽  
Middle Income Countries ◽  
Long Run ◽  
Short And Long Term

This study aim to indentify and analyze responses economic growth, poverty and corruption in ASEAN lower middle income countries. Type of this research is descriptive and associative, used a secondary panel data from 2010 to 2017. This research was conducted using the Vector Autoregression (VAR) model through the analysis of Impulse Response Funtion (IRF) and Variance Decomposition (VD) to determine the variability response of a particular variable due to the shock of other variables. The results of this study indicate that: (1) Variability of economic growth is not contributed by the shock of poverty and corruption in the short term, but in the long run the variability of economic growth is contributed by the shock of poverty and corruption. (2) In the short variability of poverty is not contributed by the shock of economic growth and corruption term, but in the long run economic growth and corruption contribute to influencing poverty variability. (3) The variability of corruption is contributed by the shock of economic growth and poverty in the short and long term.

scholarly journals Revisiting Energy Consumption-economic Growth Hypothesis: Do Slope Heterogeneity and Cross-sectional Dependence Matter?

2021 ◽  
Vol 8 (1) ◽  
pp. 10-24
Author(s):  
Miriam Kamah ◽  
Joshua Sunday Riti
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Panel Data ◽  
Developed Countries ◽  
Cross Sectional ◽  
Distributed Lag ◽  
Long Run ◽  
Advanced Economies ◽  
Cross Sectional Dependence

In this paper, the long-term nexus between energy consumption and economic growth is investigated using a panel data of 80 countries from World Bank data base for the period 1970 to 2017. In order to check for the issues of endogeneity, slope heterogeneity, and cross-sectional dependence present in errors of panel data, the study applied cross-sectional augmented autoregressive distributed lag (CS-ARDL) and cross-sectional augmented distributed lag (CS-DL) models to examine the long-term impact of energy consumption on economic growth. The empirical results revealed that energy consumption has a positive and significant long-run effect on economic growth and that cross-sectional dependence, slope endogeneity and heterogeneity are issues that should be on the watch when dealing with panel data of developing and developed countries’ analysis. Furthermore, the outcomes indicated that the impact of energy consumption on economic growth is stronger in less developed countries than in advanced economies. Technological progressions that give rise to the advancement of clean and efficient energy and substitution of low-quality fuels with high quality fuels are some of the possible channels that weaken the link between energy consumption and economic growth in advanced economies. Importantly, from a policy perspective, based on the study findings, energy conservation policies aimed at promoting environmental quality may worsen economic growth in developing countries, thereby adversely affecting their long-run economic growths.

Infrastructure mortgage in Russia: Opportunities and prospects

2019 ◽  
pp. 114-133
Author(s):  
G. I. Idrisov ◽  
Y. Yu. Ponomarev
Keyword(s):  
Federal Government ◽  
Public Debt ◽  
Budget Deficit ◽  
Expert Assessment ◽  
Inflation Expectations ◽  
Direct Impact ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Negative Effect

The article shows that depending on the goals pursued by the federal government and the available interbudgetary tools a different design of infrastructure mortgage is preferable. Three variants of such mortgage in Russia are proposed, each of which is better suited for certain types of projects and uses different forms of subsidies. According to our expert assessment the active use of infrastructure mortgage in Russia can increase the average annual GDP growth rate by 0.5 p. p. on the horizon of 5—7 years. In the long run the growth of infrastructure financing through the use of infrastructure mortgage could increase long-term economic growth by 0.9 p. p., which in 20—30 years can add 20—30% of GDP to the economy. However, the change in the structure of budget expenditures in the absence of an increase in the budget deficit and public debt will cause no direct impact on monetary policy. The increase in the deficit and the build-up of public debt will have a negative effect on inflation expectations, which will require monetary tightening for a longer time to stabilize them.

PENGARUH INFRASTRUKTUR SECARA SPASIAL TERHADAP KONVERGENSI PERTUMBUHAN EKONOMI DI INDONESIA

INFO ARTHA ◽  
2017 ◽  
Vol 1 ◽  
pp. 17-28
Author(s):  
Anisa Fahmi
Keyword(s):  
Economic Growth ◽  
Regional Economics ◽  
Developed Countries ◽  
Road Infrastructure ◽  
Long Run ◽  
Catch Up ◽  
The Developed Countries ◽  
Positive Effect ◽  
Neoclassical Growth Theory

Motivated by inter-regional disparities condition that occurs persistently, this study examines the Indonesian economy in the long run in order to know whether it tends to converge or diverge. This convergence is based on the Solow Neoclassical growth theory assuming the existence of diminishing returns to capital so that when the developed countries reach steady state conditions, developing countries will continuously grow up to 'catch-up' with developed countries. Based on regional economics perspective, each region can not be treated as a stand-alone unit,therefore, this study also focuses on the influence of spatial dependency and infrastructure. Economical and political situations of a region will influence policy in that region which will also have an impact to the neighboring regions. The estimation results of spatial cross-regressive model using fixed effect method consistently confirmed that the Indonesian economy in the long term will likely converge with a speed of 8.08 percent per year. Other findings are road infrastructure has a positive effect on economic growth and investment and road infrastructure are spatially showed a positive effect on economic growth. In other words, the investment and infrastructure of a region does not only affect the economic growth of that region but also to the economy of the contiguous regions. 

From Help Giving to Helping Relations

2018 ◽  
pp. 464-488
Author(s):  
Arie Nadler
Keyword(s):  
Well Being ◽  
Psychological Research ◽  
Psychological Needs ◽  
Social Psychological ◽  
Significant Relationships ◽  
Long Run ◽  
Help Giving ◽  
Social Psychological Research ◽  
Practical Implications

This chapter reviews social psychological research on help giving and helping relations from the 1950s until today. The first section considers the conditions under which people are likely to help others, personality dispositions that characterize helpful individuals, and motivational and attributional antecedents of helpfulness. The second section looks at long-term consequences of help and examines help in the context of enduring and emotionally significant relationships. Research has shown that in the long run help can increase psychological and physical well-being for helpers but discourage self-reliance for recipients. The third section analyzes helping from intra- and intergroup perspectives, considering how its provision can contribute to helpers’ reputations within a group or promote the positive social identity of in-groups relative to out-groups. Help is thus conceptualized as a negotiation between the fundamental psychological needs for belongingness and independence. Theoretical and practical implications are discussed.

scholarly journals Shades between Black and Green Investment: Balance or Imbalance?

2021 ◽  
Vol 13 (9) ◽  
pp. 5024
Author(s):  
 Vítor Manuel de Sousa Gabriel ◽  
María Mar Miralles-Quirós ◽  
José Luis Miralles-Quirós
Keyword(s):  
Risk Factor ◽  
Oil Prices ◽  
Oil Price ◽  
Short Term ◽  
Environmental Indices ◽  
Long Run ◽  
Green Investment ◽  
Bounds Test

This paper analyses the links established between environmental indices and the oil price adopting a double perspective, long-term and short-term relationships. For that purpose, we employ the Bounds Test and bivariate conditional heteroscedasticity models. In the long run, the pattern of behaviour of environmental indices clearly differed from that of the oil prices, and it was not possible to identify cointegrating vectors. In the short-term, it was possible to conclude that, in contemporaneous terms, the variables studied tended to follow similar paths. When the lag of the oil price variable was considered, the impacts produced on the stock market sectors were partially of a negative nature, which allows us to suppose that this variable plays the role of a risk factor for environmental investment.

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