scholarly journals The Effect of Urbanization on Agricultural Productivity in Developing Countries

2021 ◽  
Author(s):  
Ali Talih Süt

Agriculture is a very important activity for developing countries, and generally takes place in rural areas. Therefore, the urbanization directly affects agricultural activities. In this study, the relationship between agricultural productivity and urbanization is examined. In this context, carbon emission, representing environmental quality, was added as a control variable in the model. Because agricultural activities get their source from natural resources and the environment. The data set covers from 1992 to 2018 for 17 developing countries. According to the analysis, it was understood that the series were not co-integrated. According to the Dumitrescu Hurlin causality test, urbanization and carbon emissions are the cause of agricultural productivity. In addition, according to the same test results, it is not the cause of agricultural productivity, urbanization and carbon emissions.

2021 ◽  
Vol 12 (2) ◽  
pp. 233
Author(s):  
Tamanna Islam

Workers’ remittances are assuming a significant function as a wellspring of foreign exchange earnings for developing countries. As a result, these countries inflows are growing rapidly. This study inspects the relationship between worker’s remittances and economic growth of Bangladesh using the data set for the period 2007-2018. The results using the Granger-causality test show that the workers’ remittances and economic growth show a bi-directional causal relation. There is a bi-directional causal relation between capital and economic growth. The relationship is negative when the study considers number of workers growth and economic growth. The used growth model shows that economic growth of Bangladesh is remittances-dependent. Hence, it provides evidence to support those remittances is a regulating issue of economic growth of Bangladesh.


Author(s):  
Ruchika Agarwala ◽  
Vinod Vasudevan

Research shows that traffic fatality risk is generally higher in rural areas than in urban areas. In developing countries, vehicle ownership and investments in public transportation typically increase with economic growth. These two factors together increase the vehicle population, which in turn affects traffic safety. This paper presents a study focused on the relationship of various factors—including household consumption expenditure data—with traffic fatality in rural and urban areas and thereby aims to fill some of the gaps in the literature. One such gap is the impacts of personal and non-personal modes of travel on traffic safety in rural versus urban areas in developing countries which remains unexplored. An exhaustive panel data modeling approach is adopted. One important finding of this study is that evidence exists of a contrasting relationship between household expenditure and traffic fatality in rural and urban areas. The relationship between household expenditure and traffic fatality is observed to be positive in rural areas and a negative in urban areas. Increases in most expenditure variables, such as fuel, non-personal modes of travel, and two-wheeler expenditures, are found to be associated with an increase in traffic fatality in rural areas.


2021 ◽  
Author(s):  
Shahzad Hussain ◽  
Tanveer Ahmad ◽  
Syed Jawad Hussain Shahzad

Abstract We examine the relationship between financial inclusion and carbon emissions. For this purpose, we develop a composite indicator of financial inclusion based on a broad set of attributes through principal component analysis (PCA) for 26 countries in the Asia region. Our robust panel regression analysis reveals a significant positive long-term impact of financial inclusion on carbon emissions. The pairwise causality test reveals unidirectional long-term causality running from financial inclusion to carbon emissions. The study suggests that policy makers may design policies that integrate accessible financial systems into climate change adaptation strategies in order to neutralize the side effect of financial inclusion deteriorating environmental quality and inclusive sustainable economic growth. JEL ClassificationO16; O44, Q54


2017 ◽  
Vol 9 (10) ◽  
pp. 145 ◽  
Author(s):  
Bibi Rouksar-Dussoyea ◽  
Ho Ming-Kang ◽  
Raja Rajeswari ◽  
Benjamin Chan Yin-Fah

This panel analysis study is conducted to examine the relationship between inflation rates (CPI) and unemployment rates (HUR) with the Gross Domestic Product growth rates (GDP), before and after the 2008 European crisis. Quarterly data for 18 consecutive years and six sample countries from Europe (Austria, France, Germany, Greece, Hungary and United Kingdom) have been considered in the panel. In order to get a more profound understanding of the impacts of the European crisis on the relationship between the variables, the panel data set has been classified into 3 separate panels, such that Panel 1 (1999Q1-2007Q4) represents before-crisis panel, Panel 2 (2008Q1-2016Q4) represents the during/after crisis panel and lastly, Panel 3 (1999Q1-2016Q4) represents the long-run panel. Panel 1 is subject to the Fixed Effects with LSDV model, whereby four out of the six countries are significant, and CPI and HUR are insignificant predictors of the GDP. Both Panel 2 and Panel 3 are subject to the Two-way Random Effects model, whereby both CPI and HUR have negative significant effect on GDP. Granger Causality test has also been carried out to determine whether causality is present among variables, based on each panel.


2018 ◽  
Vol 06 (01) ◽  
pp. 1850004 ◽  
Author(s):  
Mou WANG

This paper empirically examines the relationship between carbon emissions and economic growth by applying the co-integration analysis and Granger causality test to the time series data of carbon emissions and gross domestic product (GDP) of the world’s top 20 emitters from 1990 to 2015. Co-integration analysis shows that there is a long-term equilibrium relationship between carbon emissions and economic growth in most countries; Granger causality test verifies a one-way causal link between carbon emissions and economic growth in most major emitters. In developed countries, economic growth is the Granger cause of carbon emissions, while the opposite is true in developing countries. The results reflect different characteristics regarding carbon emission reduction in developed and developing countries as they are at different developing stages. Carbon emission reduction exerts much greater adverse effects on the economic growth of developing countries than it does on that of developed countries. Based on the results of the Granger causal analysis, it is found that the requirements for developing countries to substantially reduce emissions are not in line with the characteristics in their current developing stage and therefore may pose obstructions. Developed countries should take the lead in carrying out emission reductions due to their accountability for historical emissions as well as their development stages and capabilities. In addition, they should aid developing countries in their efforts for transforming and upgrading development and reducing dependence of economic growth on carbon emissions. International climate governance should take into account the needs and characteristics of different countries for future development, and build a mechanism for international cooperation to achieve synergy between social economic development and global climate governance.


2017 ◽  
Vol 20 (3) ◽  
pp. 41-56 ◽  
Author(s):  
Foluso A. Akinsola ◽  
Nicholas M. Odhiambo

This paper surveys the existing literature on the relationship between inflation and economic growth in developed and developing countries, highlighting the theoretical and empirical indications. The study finds that the impact of inflation on economic growth varies from country to country and over time. The study also finds that the results from these studies depend on country‑specific characteristics, the data set used, and the methodology employed. On balance, the study finds overwhelming support in favour of a negative relationship between inflation and growth, especially in developed economies. However, there is still much controversy about the specific threshold level of inflation that is appropriate for growth. Most previous studies on this subject just assume a unidirectional causal relationsship between inflation and economic growth. To our knowledge, this may be the first review of its kind to survey, in detail, the existing research on the relationship between inflation and economic growth in developed and developing countries.


2021 ◽  
Vol 13 (20) ◽  
pp. 11138
Author(s):  
Huan Zhang

This study selects the panel data of five BRICS nations (Brazil, Russia, India, China, South Africa) from 1990 to 2019 to empirically explore the impact of technological innovation and economic growth on carbon emissions under the context of carbon neutrality. Granger causality test results signify that there exists a one-way causality from technology patent to carbon emission and from economic growth to carbon emission. We also constructed an improved Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The regression results manifest that technology patents contribute to the realization of carbon emission reduction and carbon neutralization, while the economic growth of emerging economies represented by BRICS countries significantly improves carbon emissions, but every single BRICS country shows differentiated carbon emissions conditions with their economic development stages. The impact of the interaction term on carbon emissions for the five BRICS countries also presents country-specific heterogeneity. Moreover, the Environmental Kuznets Curve (EKC) test results show that only Russia and South Africa have an inverted U-shaped curve relationship between economic growth and carbon emissions, whereas Brazil, India and China have a U-shaped curve relationship. There exists no EKC relationship when considering BRICS nations as a whole. Further robustness tests also verify that the conclusions obtained in this paper are consistent and stable. Finally, the paper puts forward relevant policy suggestions based on the research findings.


Author(s):  
Muhammad Irfan Qadir ◽  
Professor Dr. Shafiq Jullandhry

This study investigates the relationship between television violence and the social aggression of youth of rural areas of Punjab. This study is helpful to examine the exposure and attitude toward television violence of rural area youth of Punjab. This study also examined the impact of television violence on the social aggression of youth. Cross-sectional research design is used in this study and data was collected from the youth of the rural areas of nine divisions of Punjab. A total of 344 respondents were taken as sample size and a stratified sampling technique is used for data collection from the concerned population. The results of this study are generated through statistical software SPSS and Smart PLS. It was hypothesized that exposure toward television violence and the social aggression of youth have a positive relationship. The statistical test results show positive relationship among all hypotheses. So findings of the study help to conclude that exposure, attitude, and cognition toward television violence has an impact on the social aggression of youth of rural areas of Punjab.


2013 ◽  
Vol 3 (1) ◽  
pp. 51-67
Author(s):  
Dimas M. Widiantoro

This research is formulating the cause of agency conflict into three factors. The first one is agent unsatisfactory on the existing compensation system. The second is the high ratio of free cash flow in the company. The last is the absence of good monitoring on the company operation. Based on those three factors, this research aims to find a full perspective of these occurrences. One of the tools to investigate it is using EVA® as investigator tools, which is relatively new as a performance measurement in Emerging Market. The proxy variables on agency conflict are new investment ratio and total asset turn over. The control variables are dividend payout ratio and leverage. There are two research questions that being addressed in this research. The first, if there are any differences in agency conflict proxies between companies that have positive EVA® in their performance and companies with negative EVA®. The Second is to analyze if EVA® has significant role to influence the behavior of manager which tend to trigger the agency conflict within the company. The Methodology of this research was paired t-test data comparison between positive EVA companies and negative EVA. In addition, we analyzed the relationship of variable within the model with Data pool from 2002 until 2011To sum up the methodology; we tested the model with robustness test and Causality Test as well. The research finds out that Manager in companies with better EVA® tend to have lower agency conflict level. In conclusion, EVA® is strongly supporting the control variable in explaining its influence on dependent variables or agency conflict proxies.


1996 ◽  
Vol 35 (3) ◽  
pp. 257-283 ◽  
Author(s):  
Franque Grimard

This paper examines the relationship between income and calorie consumption for households in developing countries. Recent papers have questioned the strength of this relationship on the basis of several measurement problems that tend to overstate the responsiveness of calories consumption to income. The paper uses a household data set from Pakistan and estimates calories income elasticities for rural and urban households. The estimation takes into account the concerns raised by Behrman and Deolalikar (1987) and Bouis and Haddad (1992) about quality effects and unobservable variables. The paper finds that the elasticity is significantly different from zero. Furthermore, the relationship appears to be different according to households’ incomes. Poor households’ responsiveness of calories intake to changes in income is greater than that of the entire sample. These results are consistent with the conventional wisdom that existed before the recent criticisms.


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