Agricultural Technology and Carbon Dioxide Emissions: Evidence from Jordanian Economy
|
|
- Steven Snow
- 5 years ago
- Views:
Transcription
1 Agricultural Technology and Carbon Dioxide Emissions: Evidence from Jordanian Economy Mohanad Ismael, Fathi Srouji y, Mohamed Amine Boutabba z September 25, 2015 Abstract This paper aims to study the impact of agricultural technologies on the emissions of carbon dioxide (CO2) in Jordan using annual data from 1968 to In order to realize our purpose, we pass through unit-root test, Johansen co-integration test, causality test and variance decomposition analysis. Our results state that using unit-root test GDP growth and fertilizer are stationary at levels (no unit root) while CO2 emissions, agricultural tractors and cereal lands are not stationary at levels but at rst di erence. The presence of non-stationary variables allows us to test for the long term relationship. Based on Johansen cointegration test there appears one co-integrating equation across the non-stationary variables. It is shown also that CO2 emission can be explained in the short run by its own shock while in the medium run fertilizers, agricultural tractors, cereal lands and GDP growth have some contributions to the emissions of CO2 in the atmosphere. Keywords: carbon dioxide, tractors, agricultural technology, economic growth. JEL Classi cation: C10; C51; Q16; Q54; University of Birzeit, Economic Department, maburjaile@birzeit.edu. y University of Birzeit, Economic Department, fsrouji@birzeit.edu. z Université d Evry Val D Essonne, EPEE, mohamedamine.boutabba@univ-evry.fr. 1
2 1 Introduction In the last decade, there exist huge attentions toward developing activities and regulations which involved at environment protections and sustainable development. In order to realize the challenges of development and environment issues, nancial resources are required to increase the capacity of institutions for implementation and all countries must cooperate to accelerate the sustainable development processes. Global warming and climate change are now key sustainable development issues. Companies around the world must be able to understand the risks beyond the emissions of greenhouse gases (carbon dioxide, methane and nitrous oxide). Most of governments are taking steps toward reducing the emissions of greenhouse gases throughout introducing carbon and energy taxes and regulations on energy e ciency and emissions. Agriculture and natural environment are closely related to each other. Mainly, carbon dioxide is directly generated from agricultural productions. In agricultural production process, high amounts of CO2 (and thus greenhouse gases) emissions caused by irrational utilization such as inappropriate land use and chemical fertilizer have an impact on climate warm change and therefore the polar ice caps and glaciers would melt. Further, using energy as initial inputs in agriculture enhances the magnitude e ect of agriculture production on environment quality. In 2010, CO2 emissions from agricultural sector represent about 2% of total CO2 emissions in Jordan. In particular, it arrives to around thousands metric tons in 2010 comparing to thousands metric tons in 1990 with an increase of 31% (World Economic Indicator, 2015). According to 2014 data, the contribution of agricultural output in total GDP in Jordan is 2.7% (Bank Audi 2014). Despite its small share, it is considered as a major source of food and a major source of foreign currency. In addition, around 25% of Jordanian poor families are relying on agriculture where 2% of total employees in 2012 are working in agriculture sector (World Bank data). In this paper, we match agriculture sector together with environment and focus on the in uence of agricultural technology on carbon emissions in Jordan in both short run and long run by using annual time series data from This paper does not include all factors that a ect the CO2 emissions (Kt) but limited to the amount of fertilizers (in $ U.S.), the number of agricultural tractors, GDP ($ U.S.), value added of agricultural sector (% of GDP), value added of industrial sector (% of GDP), land under cereal production (Hectares). To realize this objective, we apply unit-root test to examine the stationarity properties of the data by applying three di erent tests namely, (Augmented) Dickey Fuller (hereafter, DF/ADF) test, Phillips and Perron (hereafter, PP) (1988) test and Ng and Perron (hereafter, NP) (2001) test. In addition, the co-integration framework of Johansen (1988) is applied to test the multivariate co-integrating relationship. We also perform Vector Error Correction Model (VECM) to study the short term and long term relationship between agriculture technology and CO2 emissions. 2
3 There are numerous literatures which focus on the relationship between agriculture and CO2 emissions. Among others, Zaman et al. (2012) investigate the in uence of agriculture technologies on carbon emissions in Pakistan using annual data from 1975 to Using co-integration test and Granger causality test, it is shown that agriculture technology increases the emissions of CO2. Moreover, agriculture irrigated land seems relatively the least contributors on CO2 emission changes. Further, Soni et al. (2013) present an energy input-output analysis on different agricultural activities in Thailand. In particular, the study relates energy consumption in agriculture production systems associated with their corresponding greenhouse gases. It is shown that transplanted rice provides the highest CO2 emission among crops. Based on tillage technologies in maize cultivation, Šarauskis et al. (2014) assess the energy e ciency of maize cultivation technologies in di erent systems of reduced tillage in Lithuania. The study considers ve di erent tillage systems: Deep ploughing, shallow ploughing, deep cultivation, shallow cultivation and no tillage. It is shown that the greatest amount of fuel was used in the traditional deep ploughing. The reduced tillage systems required 12 58% less fuel and the lowest energy input was associated with no tillage technology. Lower fuel consumption reduces the technology costs and thus the emissions of CO2. In addition, Buragiene et al. (2011) study the impact of previously mentioned tillage machines on the emission of CO2 from soil. The highest CO2 gas emissions were found in the case of intensive ploughing and the lowest emissions were observed from no tillage soil. Similarly, Silva-Olaya, La Scala, Dias and Cerri (2013) use di erent tillage methods in Brazilian sugarcane elds to study their e ects on CO2 emissions. They indicate that conventional tillage method produces CO2 more than both reduced and minimum methods. In particular, g/m 2 of CO2 is generated in conventional method while 51.7 and 5.5 g/m 2 are produced by using the reduced and minimum methods respectively. Zaman et al. (2011) investigate the relationship between electricity consumption and technological factors in the agricultural sector of Pakistan. By applying techniques of co-integration and causality tests, it is found that agricultural technology causes energy consumption. From animal sources point of view, Carlsson-Kanyama and Gonzalez (2009) conclude that the total GHG emissions in Sweden for beef measured about 30 kg CO2-eq. / kg beef and therefore they encourage protein productions from vegetables rather than from animal sources. So, in order to keep the amount of CO2 emissions as that of the 2000, each person around the world should daily consume at most 70 to 90 grams of meat (McMichael et al. 2007, Barclay 2011). Our results state that using unit-root test GDP growth and fertilizer are stationary at levels (no unit root) while CO2 emissions, agricultural tractors and cereal lands are not stationary at levels but at rst di erence. The presence of non-stationary variables allows us to test for the long term relationship. Based on Johansen cointegration test there appears one co-integrating equation across the non-stationary variables. 3
4 According to the variance decomposition analysis, it is shown that CO2 emission can be explained in the short run by its own shock (own innovation) while in the medium run fertilizers, agricultural tractors, cereal lands and GDP growth can contribute to the emergence of CO2 in the atmosphere. The outline of the paper is the following: section 2 presents the data and the methodology, section 3 presents the model. Section 4 presents the results and we conclude in section 5. Finally, the appendix is presented in section 6. 2 Methodology and data The majority of empirical studies use cross-sectional data to analyze the economic relationship. However, in some circumstances, cross-sectional data fails to establish a long term relationship between the relevant variables included in the model. For this reason, we adopt time-series data to study the impact of the independent variables on the dependent variable as well as the direction of causality among variables in a closed form model. In order to achieve the impact of agriculture technology on CO2 emissions in Jordan, the researchers use multivariate analysis framework adopted by Zaman et al. (2012). In other words, we consider the following model CO2 = + 1 GGDP + 2 T rac + 3 F ert + 4 land + " (1) where a. CO2 is the amount of CO2 emissions in (Kilo tonne), b. GGDP is the gross domestic product (in %) c. T rac is the number of tractors used in agricultural production, d. F ert is the value (in $US) of fertilizers used in agricultural production, e. land measures the land under cereals production (in hectares) While ; 1 ; :::; 4 are parameters (intercept and the coe cients) to be estimated and " is the error term. The annual data is obtained from World Development Indicators published by the World Bank (2013) and covers the period from 1968 to Unit-root test In applied economic literature, the aim of applying the unit-root test is to examine whether the data series are stationary or not. In particular, an Augmented Dickey-Fuller (ADF) unit root test is used, Dickey and Fuller (1979, 1981). The null hypothesis in ADF test is that the data series is not stationary, or there exists a unit root. While the alterative hypothesis is that the series is stationary. There are three cases used to show the existence of unit-root test: without intercept and trend, with intercept only and with both intercept and trend as shown in the following formulas: 1. without intercept and trend X t = X t 1 + u t (2) 4
5 2. with intercept 3. with intercept and trend 2.2 Co-integration test X t = + X t 1 + u t (3) X t = + t + X t 1 + u t (4) The concept of co-integration was initially introduced by Granger (1981) followed by Engle and Granger (1987), Phillips and Ouliaris (1990) and Johansen (1991). Most of macroeconomic variables are non-stationary where Engle and Granger (1987) show that a linear combination of two or more non-stationary series can be stationary. If this linear combination exists, these non-stationary series are said to be co-integrated and can be interpreted as a long-run relationship among the variables. Practically, researchers usually use Johansen co-integration test to test the co-integration since it can check the existence of more than one co-integration relationship if data contains more than two series. Let M be a P x 1 vector that contains: M t = (CO2; GDP; Agri%; Indus%; F ert; land; T ract) (5) where all variables in this vector are in rst-di erenced stationary I (1). Once rst-order stationary variables exists, then according to Johansen (1991) M t has a vector autoregressive (VAR) representation taking the following form: M t = + 1 M t M t 2 + ::: + k M t k + t (6) where is the intercept and t is a vector of white noise processes together with zero mean. All information regarding the long term relationship between variables exists in matrix. This VAR equation can be written as: M t = + 1M t 1 + 2M t 2 + ::: + km t k + t (7) where the rank of the parameter k represents the number of co-integrating vectors. 2.3 The VECM regression Initially, Sargan (1964) presents the ECM approach followed by Engle and Granger (1987). This approach is generated from the co-integrated equations after including the lagged error correction term to reconsider the long run information lost through taking the di erence of relevant variables. Therefore, if the model contains n co-integrated variables, then the error correction model can be written as: qx X t = ' + X t i + ecm t 1 + t (8) i=0 5
6 Where X t represents the n co-integrated variables, q is the number of lag periods, ecm is called the residual from the co-integration equation and is a vector of white noise residuals. Further, measures the short run e ects of the long run dynamics, in particular, this coe cient denotes the short run adjustment representing the proportion by which the long run disequilibrium in the dependent variable is being corrected for in each time period. 3 Data analysis and results The research applies unit-root tests, co-integration tests to study the empirical impact of GDP, agricultural production, industrial production, fertilizers, tractors and land with cereal productions on the emissions of carbon dioxide CO Unit-root test The purpose of unit-root test is to check the stationary properties of the variables, and this is necessary to conduct the co-integration test. In particular, Augmented Dickey-Fuller test was employed on each relevant variable in the dataset. Table (1) and table (2) summarize the outcomes of ADF test at level variables as well as at rst-di erence variables. Table (1) ADF test at levels (at constant). Variable t-statistics Critical Value at 5% CO2_MTPK GDP_Growth Agri Indus Fert Tract Land_Cereal Table (2) ADF test. at rst di erence (at constant). 1 Variable t-statistics Critical Value at 5% CO2_MTPK GDP_Growth - - Agri Indus - - Fert - - Tract Land_Cereal Table (1) shows that only GDP growth, the share of industrial production in GDP and the fertilizers are stationary variables (do not have unit-roots) at levels, in the sense that the absolute values of the t-statistics are higher than 6
7 the MacKinnon (or ADF) critical value at 5%, implying that we reject the null hypothesis (there exists a unit-root). However, Table (2) states that all variables, including CO2_MTPK emissions, the share of agricultural production in GDP, number of tractors and the size of lands with cereal production become stationary at rst-di erence, where the absolute values of t-statistics are greater than the ADF critical values at 5%. 3.2 Co-integration test In general, if two variables have long run relationship, then these variables are co-integrated. If two variables are integrated of order one I(1), there could be a linear combination between them and integrated of order zero, I(0) (Green, 2002). Therefore, we have to check the possible co-integration relationship between CO2_MTPK, Agri, Tract and Land_Cereal. In order to conduct cointegration test, we perform the Johansen co-integration test. the null hypothesis states that there is no co-integration. According to the maximum eigenvalue co-integration test (Table (3)) and Trace test (Table (4)), it is shown that there is one co-integration equation at 5% signi cant level. This implies a long term relationship between the variables. Table (3) Unrestricted Co-integration Rank Test (Maximum Eigenvalue) Hypothesized no. of CE(s) Eigenvalue Max-Eigen Statistics 0.05 Critical Value Prob.** None* At most At most At most Max-eigenvalue test indicates 1 co-integrating eqn(s) at the 0.05 level * denotes rejection of the hypothesis at the 0.05 level ** MacKinnon-Haug-Michelis (1999) p-value Table (4) Unrestricted Co-integration Rank Test (Trace) Hypothesized no. of CE(s) Eigenvalue Trace Statistics 0.05 Critical Value Prob.** None* At most At most At most Trace test indicates 1 co-integrating eqn(s) at the 0.05 level * denotes rejection of the hypothesis at the 0.05 level ** MacKinnon-Haug-Michelis (1999) p-value 7
8 3.3 Causality test In this section, we study the causality between agricultural technology variables, GDP growth and CO2 emissions in Jordan using Granger causality test. Table (5) shows that the null hypothesis "Agri_Tractors does not granger cause CO2_emissions_MTPK" and vice versa is accepted at 5% signi cant level. Similarly, there exist no causality between fertilizer, GDP growth and CO2 emissions, whilst causality only occurs between CO2 emissions and cereal land at 5% signi cant level. Accordingly, this test implies that agricultural technology variables fail to associate with the emissions of carbon dioxide. Table (5) Causality test results between agricultural technology variables and CO2 emissions Null Hypothesis: Obs F-Statistic Prob. AGRI_TRACTORS does not Granger Cause CO2_EMISSIONS_MTPK CO2_EMISSIONS_MTPK does not Granger Cause AGRI_TRACTORS LAND_CEREAL does not Granger Cause CO2_EMISSIONS_MTPK CO2_EMISSIONS_MTPK does not Granger Cause LAND_CEREAL FERTILIZER does not Granger Cause CO2_EMISSIONS_MTPK CO2_EMISSIONS_MTPK does not Granger Cause FERTILIZER GDP_GROWTH does not Granger Cause CO2_EMISSIONS_MTPK CO2_EMISSIONS_MTPK does not Granger Cause GDP_GROWTH Variance decomposition analysis The variance decomposition analysis is used to compare the contribution of di erent indicators of agricultural technology in Jordanian economy to the variation in CO2 emissions over the entire period. Table (6) summarizes the contribution of each independent variables on CO2 emissions. It is found that in the short run, that is in the second year, shocks to CO2_emissions account for percent variation in uctuation in CO2 emissions, in other words, own shock. In addition, shock to agricultural tractors can cause percent variation of the uctuation in CO2 emissions, shock to land cereal generate percent uctuation in CO2 emissions, while shock to fertilizers and GDP growth account for percent and for percent respectively variation in CO2 emissions uctuations. 8
9 Figure (1) Variance Decomposition Analysis of CO2 emissions However, in the long run, for instance 10 years, it is shown that shocks to CO2_emissions account for percent variation in uctuation in CO2 emissions. In addition, shocks to agricultural tractors can cause percent of the uctuation in CO2 emissions, shock to land cereal area can generate percent uctuation in CO2 emissions, while shock to fertilizers and GDP growth account for percent and for percent respectively variation in CO2 emissions. If we compare short run contribution to the long run contribution, it is clearly shown that CO2 emissions shock can contribute less in the long run than in the short run, while agricultural tractors, cereal lands, and fertilizers have slightly higher contributions for CO2 emissions in the long run than in the short run. Notice also that the contribution of each explanatory variable to explain the variance in CO2 emissions is steady for longer periods (10 years and more). Accordingly, CO2 emissions can be highly explained by its own innovation. The graph shows that initially CO2 emissions are exogenous and independent of the other variables. However, in the medium run and the long run all variables 9
10 are responsible for explaining at least 12% of the variation in CO2 emissions. Comparing to Pakistan (Zaman et al. 2012) where tractors contribute 13.76%, in this paper, tractors share around 6.69% of CO2 emissions, while fertilizers generate 3.72% in Jordan comparing to 5.29% in Pakistan, while cereal lands shares 1.43% in Jordan comparing to 4.03% in Pakistan economy. 4 Conclusion The purpose of this research is to investigate the relationship between agricultural technologies and CO2 emissions in Jordanian economy using annual data from 1968 to In particular, the paper focuses on fertilizers, tractors, cereal land as proxies to agricultural technology. The contribution of this paper to the literature is the analysis of the role of fertilizers, tractors, GDP growth and cereal land in carbon emissions. To do so, we apply unit-root test, co-integration test, causaity test and the variance decomposition analysis. The empirical tests achieve our objective and show that GDP growth has the highest in uence on CO2 emissions followed by the number of tractors used in agricultural productions, the fertilizers and the cereal land areas. The variance decomposition analysis shows that in the short run the variation in CO2 emissions are mostly explained by CO2 own shocks, while in both medium run and long run, tractors, fertilizers as well as lands can slightly contribute to the emissions of CO2 in the atmosphere. For policy implications, when Jordanian policy makers want to perform a strategy to meet the planned level of CO2 emissions in Jordanian economy, they do not have to focus on agricultural technologies. Instead, they have to consider among others, industrial sector and transportation sector which might generate most of the emissions. Furthermore, policy makers have to wait for long periods so that the implementations of targeted CO2 level arise and the negative impacts of tractors as well as fertilizers on the environment do appear in the medium run and in the long run. 5 References References [1] Bank Audi Group. (2014). Annual Report Lebanon. [2] Barclay, J. M. G. (2012). Meat, a Damaging Extravagence: A Response to Grumett and Gorringe. The Expository Time 123. PP [3] Buragiene, S., Sarauskis, E., Romaneckas, K., Sakalauskas, A., Uzupis, A. and Katkevicius, E. (2011). Soil Temperature and Gas (CO2 and O2) emissions from Soil under Di erent Tillage Machinery Systems. Journal of Food, Agriculture and Environment 9. PP
11 [4] Carlsson-Kanyama, A. and Gonzalez, A. D. (2009). Potential Contributions of Food Consumption Patterns to Climate Change. The American Journal of Clinical Nutrition 89. [5] Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control 12. PP [6] McMichael, A. J., Powles, J. W., Butler, C. D. and Uauy, R. (2007). Food, Livestock Production, Energy, Climate Change and Health. Lancet 370. PP [7] NG, S. and Perron, P. (2001). Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power. Econometrica 69. PP [8] Phillips, P. C. B. and Perron, P. (1988). Testing for a Unit Root in Time Series Regression. Biomètrika 75. PP [9] Sarauskis, E., Buragiene, S., Masilinyte, L. and Romaneckas, K. (2014). Energy Balance, Costs and CO2 Analysis of Tillage Technologies in Maize Cultivation. Energy 69. PP [10] Silva-Olaya, A. M., Cerri, C. E. P., La Scala, N., Dias, C. T. S. and Cerri, C. C. (2013). Carbon Dioxide Emissions under Di erent Soil Tillage Systems in Mechanically Harvested Sugarcane. Environmental Research Letters 8. [11] Soni, P., Taewichit, C. and Salokhe, V. M. (2013). Energy Consumption and CO2 Emissions in Rainfed Agricultural Production Systems of Northeast Thailand. Agricultural Systems 116. PP [12] World Bank. (2013). World Development Indicators World Bank. Washington D.C. [13] Zaman, K., Mushtaq-Khan, M., Ahmad, M. and Ahmad-Khilji, B. (2012). The Relationship Between Agricultural Technologies and Carbon Emissions in Pakistan: Peril and Promise. Economic Modelling 29. PP [14] Zaman, K., Mushtaq-Khan, M., Ahmad, M. and Rustam, R. (2012). The Relationship Between Agricultural Technology and Energy Demand in Pakistan. Energy Policy 44. PP
Spatial Price Transmission: A Study of Rice Markets in Iran
World Applied Sciences Journal 1 (4): 646-650, 013 ISSN 1818-495 IDOSI Publications, 013 DOI: 10.589/idosi.wasj.013.1.4.175 Spatial Price Transmission: A Study of Rice Markets in Iran 1 1 Forooz Jezghani,
More informationShort and Long Run Equilibrium between Electricity Consumption and Foreign Aid
Review of Contemporary Business Research June 2014, Vol. 3, No. 2, pp. 105-115 ISSN: 2333-6412 (Print), 2333-6420 (Online) Copyright The Author(s). 2014. All Rights Reserved. Published by American Research
More informationAn Analysis of Cointegration: Investigation of the Cost-Price Squeeze in Agriculture
An Analysis of Cointegration: Investigation of the Cost-Price Squeeze in Agriculture Jody L. Campiche Henry L. Bryant Agricultural and Food Policy Center Agricultural and Food Policy Center Department
More informationEstimation of Short and Long Run Equilibrium Coefficients in Error Correction Model: An Empirical Evidence from Nepal
International Journal of Econometrics and Financial Management, 2014, Vol. 2, No. 6, 214-219 Available online at http://pubs.sciepub.com/ijefm/2/6/1 Science and Education Publishing DOI:10.12691/ijefm-2-6-1
More informationA Dynamic Equilibrium of Electricity Consumption and GDP in Hong Kong: An Empirical Investigation
A Dynamic Equilibrium of Electricity Consumption and GDP in Hong Kong: An Empirical Investigation Chun-Yu Ho y Boston University Kam-Wing Siu zy Boston University First Version: July 2006 Final Version:
More informationELECTRICITY CONSUMPTION & ECONOMIC GROWTH IN BANGLADESH: EVIDENCE FROM TIME-SERIES CAUSALITY APPROACH
Romanian Economic and Business Review Vol. 11, number 2 19 ELECTRICITY CONSUMPTION & ECONOMIC GROWTH IN BANGLADESH: EVIDENCE FROM TIME-SERIES CAUSALITY APPROACH Arifuzzaman KHAN 1 Sandip SARKER 2 Delowar
More informationGovernment Debt and Demand for Money: A Cointegration Approach
World Review of Business Research Vol. 3. No. 1. January 2013 Issue. pp. 52 58 Government Debt and Demand for Money: A Cointegration Approach JEL Codes: E41 1. Introduction Meng Li * Conventionally, the
More informationIs Inflation in Pakistan a Monetary Phenomenon?
The Pakistan Development Review 45 : 2 (Summer 2006) pp. 213 220 Is Inflation in Pakistan a Monetary Phenomenon? M. ALI KEMAL * The paper finds that an increase in money supply over the long-run results
More informationGross Domestic Capital Formation, Exports and Economic Growth
Gross Domestic Capital Formation, Exports and Economic Growth Sana Iftikhar PhD Scholar, Department of Economics, National College of Business Administration & Economics (NCBA&E), Lahore Fakhar-un-Nisa
More informationDoes Energy Consumption Cause Economic Growth? Empirical Evidence From Tunisia
Australian Journal of Basic and Applied Sciences, 5(12): 3155-3159, 2011 ISSN 1991-8178 Does Energy Consumption Cause Economic Growth? Empirical Evidence From Tunisia 1 Monia Landolsi and 2 Jaleleddine
More informationWhat Influences Bitcoin s Price? -A VEC Model Analysis
What Influences Bitcoin s Price? -A VEC Model Analysis Zhu Yechen, Central University of Finance and Economics, China. E-mail: yczhu@163.com David Dickinson, University of Birmingham, UK. E-mail: d.g.dickinson@bham.ac.uk
More informationTrade Intensity, Energy Consumption and Environment in Nigeria and South Africa
Trade Intensity, Energy Consumption and Environment in Nigeria and South Africa Mesagan Ekundayo Peter Omojolaibi Joseph Ayoola Umar Dominic Ikoh Department of Economics, University of Lagos, Nigeria profdayoms@yahoo.com
More informationTesting the Market Integration in Regional Cantaloupe and Melon Markets. between the U.S. and Mexico: An Application of Error Correction Model
Testing the Market Integration in Regional Cantaloupe and Melon Markets between the U.S. and Mexico: An Application of Error Correction Model Yan Xia, Dwi Susanto and Parr Rosson* Abstract: This paper
More informationDynamic Impacts of Commodity Prices on the Moroccan Economy and Economic, Political and Social Policy Setting
Doi:10.5901/mjss.2016.v7n2p177 Abstract Dynamic Impacts of Commodity Prices on the Moroccan Economy and Economic, Political and Social Policy Setting Ahmad Baijou (Corresponding author) School of Business
More informationAN ECONOMETRIC ANALYSIS OF THE RELATIONSHIP BETWEEN AGRICULTURAL PRODUCTION AND ECONOMIC GROWTH IN ZIMBABWE
AN ECONOMETRIC ANALYSIS OF THE RELATIONSHIP BETWEEN AGRICULTURAL PRODUCTION AND ECONOMIC GROWTH IN ZIMBABWE Alexander Mapfumo, Researcher Great Zimbabwe University, Masvingo, Zimbabwe E-mail: allymaps@gmail.com
More informationInvestment in Education and Income Inequality: Testing Inverted U-Shaped Hypothesis for Pakistan
Pakistan Journal of Social Sciences (PJSS) Vol. 36, No. 2 (2016), pp. 751-760 Investment in Education and Income Inequality: Testing Inverted U-Shaped Hypothesis for Pakistan Ghulam Sarwar Assistant Professor,
More informationAn Econometric Analysis of Road Transport Demand in Malaysia
65 An Econometric Analysis of Road Transport Demand in Malaysia Nur Zaimah Ubaidilla University Malaysia Sarawak, Malaysia E-mail: unzaimah@feb.unimas.my 66 An Econometric Analysis of Road Transport Demand
More informationPrice Cointegration Analyses of Food Crop Markets: The case of Wheat and Teff Commodities in Northern Ethiopia
Price Cointegration Analyses of Food Crop Markets: The case of Wheat and Teff Commodities in Northern Ethiopia Moti Jaleta and Berhanu Gebermedhin International Livestock Research Institute, P.O.Box 5689,
More informationAvailable online at ScienceDirect. Procedia Economics and Finance 24 ( 2015 )
Available online at www.sciencedirect.com ScienceDirect Procedia Economics and Finance 24 ( 2015 ) 353 362 International Conference on Applied Economics, ICOAE 2015, 2-4 July 2015, Kazan, Russia Relationships
More informationThe Dynamics of Relationship between Exports, Import and Economic Growth in India
The Dynamics of Relationship between Exports, Import and Economic Growth in India DR. SACHIN N. MEHTA Assistant Professor, D.R. Patel and R. B. Patel Commerce College, Bharthan (Vesu),Surat, Gujarat (India)
More informationEFFECTS OF TRADE OPENNESS AND ECONOMIC GROWTH ON THE PRIVATE SECTOR INVESTMENT IN SYRIA
EFFECTS OF TRADE OPENNESS AND ECONOMIC GROWTH ON THE PRIVATE SECTOR INVESTMENT IN SYRIA Adel Shakeeb Mohsen, PhD Student Universiti Sains Malaysia, Malaysia Introduction Motivating private sector investment
More informationAn Analysis of the Relationship between Remuneration (Real Wage) and Labour Productivity in South Africa
An Analysis of the Relationship between Remuneration (Real Wage) and Labour Productivity in South Africa Johannes Tshepiso Tsoku Department of Statistics, North West University, Mafikeng Campus, South
More informationVolume-3, Issue-6, November-2016 ISSN No:
A STATISTICAL ANALYSIS OF STOCHASTIC DRIFT IN THE MARKET OF METALS PLATINUM AND IRIDIUM Arghajit Mitra Research Scholar, Christ University, Bengaluru, India Subhashis Biswas Research scholar, Christ University,
More informationPRICE-OUTPUT BEHAVIOR AND MONEY SHOCKS MODELLING: CASE STUDY OF PAKISTAN
International Journal of Economics, Commerce and Management United Kingdom Vol. II, Issue 10, Oct 2014 http://ijecm.co.uk/ ISSN 2348 0386 PRICE-OUTPUT BEHAVIOR AND MONEY SHOCKS MODELLING: CASE STUDY OF
More informationChanging pattern of energy use in Indian agriculture and linkage between energy and commodity prices
Changing pattern of energy use in Indian agriculture and linkage between energy and commodity prices Girish Kumar Jha, Rajeev Ranjan Kumar, Alka Singh and Suresh Pal Division of Agricultural Economics
More informationComparison of Residual based Cointegration Tests: Evidence from Monte Carlo
European Online Journal of Natural and Social Sciences 2018; www.european-science.com Vol.7, No 2 pp. 494-500 ISSN 1805-3602 Comparison of Residual based Cointegration Tests: Evidence from Monte Carlo
More informationForecasting Construction Cost Index using Energy Price as an Explanatory Variable
Forecasting Construction Cost Index using Energy Price as an Explanatory Variable Variations of ENR (Engineering News Record) Construction Cost Index (CCI) are problematic for cost estimation and bid preparation.
More informationERROR CORRECTION, CO-INTEGRATION AND IMPORT DEMAND FUNCTION FOR NIGERIA
ERROR CORRECTION, CO-INTEGRATION AND IMPORT DEMAND FUNCTION FOR NIGERIA Omoke, Philip Chimobi Department of Economics Ebonyi State University Abakaliki, Nigeria Email philomoke@yahoo.com Abstract The objective
More informationDoes Trade Openness Promote Carbon Emissions? Empirical Evidence from Sri Lanka
The Empirical Economics Letters, 1(1): (October 211) ISSN 1681 8997 Does Trade Openness Promote Carbon Emissions? Empirical Evidence from Sri Lanka Athula Naranpanawa Department of Accounting, Finance
More informationThe Price Linkages Between Domestic and World Cotton Market
American-Eurasian J. Agric. & Environ. Sci., 13 (3): 35-356, 013 ISSN 1818-6769 IDOSI Publications, 013 DOI: 10.589/idosi.aejaes.013.13.03.1936 The Price Linkages Between Domestic and World Cotton Market
More informationRenewable Energy, Pollutant Emissions and Economic Growth: Evidence from Tunisia
1970 1973 1976 1779 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 Conférence Internationale des Energies Renouvelables (CIER 13) Renewable Energy, Pollutant Emissions and Economic Growth: Evidence
More informationInternational Journal of Environmental & Agriculture Research (IJOEAR) ISSN: [ ] [Vol-2, Issue-2, February- 2016]
Agricultural Export, Oil Export and Economic Growth in Nigeria: Multivariate Co-integration Approach Oyetade P. Oluwatoyese 1, Shri DewiApplanaidu 2, NorAzam Abdul Razak 3 School of Economics, Finance
More informationKeywords: Devaluation, Money Supply, Co-integration, Error Correction Mechanism JEL Classification: C22, E51
Journal of Social and Organizational Analysis, 2015 Devaluation and Its Impact on Money Supply Growth Muhammad Asif * Management Sciences Department, COMSATS Institute of Information Technology Abbottabad,
More informationEmployment, Trade Openness and Capital Formation: Time Series Evidence from Pakistan
37 J. Glob. & Sci. Issues, Vol 1, Issue 4, (December 2013) ISSN 2307-6275 Employment, Trade Openness and Capital Formation: Time Series Evidence from Pakistan Muhammad Imran 1, Maqbool Hussian Sial 2 and
More informationA Study on the Location Determinants of the US FDI in China
Management Science and Engineering ISSN 1913-0341 Vol.3 No.2 2009 Canadian Research & Development Center of Sciences and Cultures 06/20/2009 E-mail: mse@cscanada.org; caooc@hotmail.com Http://www.cscanada.org
More information/JordanStrategyForumJSF Jordan Strategy Forum. Amman, Jordan T: F:
The Jordan Strategy Forum (JSF) is a not-for-profit organization, which represents a group of Jordanian private sector companies that are active in corporate and social responsibility (CSR) and in promoting
More informationEnergy consumption, Income and Price Interactions in Saudi Arabian Economy: A Vector Autoregression Analysis
Advances in Management & Applied Economics, vol.1, no.2, 2011, 1-21 ISSN: 1792-7544 (print version), 1792-7552 (online) International Scientific Press, 2011 Energy consumption, Income and Price Interactions
More informationTemporal Links between the Freight and Ship Markets in both Dry Bulk and Tanker Sectors
Temporal Links between the Freight and Ship Markets in both Dry Bulk and Tanker Sectors Ying Kou 1*, Liming Liu 1 and Yinchun Wu 2 1 Department of Logistics and Maritime Studies, The Hong Kong Polytechnic
More informationTHE CAUSAL RELATIONSHIP BETWEEN DOMESTIC PRIVATE CONSUMPTION AND WHOLESALE PRICES: THE CASE OF EUROPEAN UNION
THE CAUSAL RELATIONSHIP BETWEEN DOMESTIC PRIVATE CONSUMPTION AND WHOLESALE PRICES: THE CASE OF EUROPEAN UNION Nikolaos Dritsakis, Antonios Adamopoulos Abstract The purpose of this paper is to investigate
More informationAn Analysis of the Relationship between Manufacturing Growth and Economic Growth in South Africa: A Cointegration Approach
An Analysis of the Relationship between Manufacturing Growth and Economic Growth in South Africa: A Cointegration Approach Johannes T. Tsoku, Teboho J. Mosikari, Diteboho Xaba, Thatoyaone Modise Abstract
More informationPRICE AND NON-PRICE FACTORS AFFECTING ACREAGE RESPONSE OF WHEAT IN DIFFERENT AGRO-ECOLOGICAL ZONES IN PUNJAB: A CO-INTEGRATION ANALYSIS
Pak. J. Agri. Sci., Vol. 44(), 007 PRICE AND NON-PRICE FACTORS AFFECTING ACREAGE RESPONSE OF WHEAT IN DIFFERENT AGRO-ECOLOGICAL ZONES IN PUNJAB: A CO-INTEGRATION ANALYSIS Shafique Mohammad, Muhammad Siddique
More informationFull terms and conditions of use:
This article was downloaded by: [Sichuan Normal University], [zou gao lu] On: 05 November 2012, At: 07:16 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954
More informationEconomics Bulletin, 2013, Vol. 33 No. 4 pp Introduction
1. Introduction Red meat prices have shown considerable increases since 2005 in Turkey. Overall food inflation rose 93 percent, retail beef prices rose 106 percent, and retail sheep prices rose 138 percent
More informationExchange Rate Determination of Bangladesh: A Cointegration Approach. Syed Imran Ali Meerza 1
Journal of Economic Cooperation and Development, 33, 3 (2012), 81-96 Exchange Rate Determination of Bangladesh: A Cointegration Approach Syed Imran Ali Meerza 1 In this paper, I propose and estimate a
More informationClimate Change and Its Impact on Wheat Production in Kansas
University of New Haven Digital Commons @ New Haven Economics Faculty Publications Economics 2016 Climate Change and Its Impact on Wheat Production in Kansas Joshua C. Howard University of New Haven Esin
More informationCO 2 Emission, Energy Consumption and Economic Development in Malaysia
CO 2 Emission, Energy Consumption and Economic Development in Malaysia Hamizah bt Muhyidin 1, Md. Khaled Saifullah 2*, Yap Su Fei 3 1,2&3 Faculty of Economics and Administration, University of Malaya,
More informationMoney Demand in Korea: A Cointegration Analysis,
Trinity College Trinity College Digital Repository Faculty Scholarship 1-2016 Money Demand in Korea: A Cointegration Analysis, 1973-2014 Hyungsun Chloe Cho Trinity College, HYUNG0122@GMAIL.COM Miguel D.
More information(2) + β + α denotes growth rate of total output, demonstrates the productivity level of total factor, (4)
VFAST Transactions on Education and Social Sciences http://vfast.org/journals/index.php/vtse@ 2015 ISSN(e):2309-3951;ISSN(p):2411-0221 Volume 12, Number 2, March-April, 2017 pp. 01-10 THE NEXUS BETWEEN
More informationINTERNATIONAL TRADE AND ECONOMIC GROWTH PERFORMANCE: EVIDENCE FROM NIGERIA:
International Journal of Advanced Research in Statistics, Management and Finance ISSN Hard Print: 2315-8409, ISSN Online: 2354-1644 Vol. 3. No. 1 September, 2015 INTERNATIONAL TRADE AND ECONOMIC GROWTH
More informationFinancial Development and Economic Growth: The Experiences of Selected OIC Countries
Int. Journal of Economics and Management 8(1): 215 228 (2014) ISSN 1823-836X Financial Development and Economic Growth: The Experiences of Selected OIC Countries Jarita Duasa* International Islamic University
More informationAsian Journal of Empirical Research
Asian Journal of Empirical Research journal homepage: http://aessweb.com/journal-detail.php?id=5004 THE EFFECT OF RICE PRICE-PLEDGING SCHEME ON PRICE TRANSMISSION OF RICE MARKETS IN THAILAND WanvilaiChulaphan
More informationHuman Capital and Economic Growth in India: A Co-integration and Causality Analysis
Ushus J B Mgt 14, 2 (2015), 1-18 ISSN 0975-3311 doi: 10.12725/ujbm.31.1 Human Capital and Economic Growth in India: A Co-integration and Causality Analysis Preeti Sharma * and Priyanka Sahni Abstract The
More informationARE MALAYSIAN EXPORTS AND IMPORTS COINTEGRATED? A COMMENT
Sunway Academic Journal 2, 101 107 (2005) ARE MALAYSIAN EXPORTS AND IMPORTS COINTEGRATED? A COMMENT TANG TUCK CHEONG a Monash University Malaysia ABSTRACT This commentary aims to provide an insight on
More informationAnalysis of the Impact of Deforestation on Agricultural Productivity in Nigeria: An Error Correction Modeling Approach
Analysis of the Impact of Deforestation on Agricultural Productivity in Nigeria: An Error Correction Modeling Approach Ibrahim. A. Bila. Y I. M. Sulumbe Department of Agricultural Economics, Faculty of
More informationDo Exports and Economic Growth Depend on each other at Intergovernmental Organization Level Trade: An Empirical Study
Intergovernmental Organization Level Trade: An Empirical Study shafaqatphd@gmail.com UC BerkeleyX edx, The University of California At Berkeley, United States Abstract A number of trade opportunities exist
More informationFinancial Development and Economic Growth in Bangladesh and India: Evidence from Cointegration and Causality Tests
Financial Development and Economic Growth in Bangladesh and India: Evidence from Cointegration and Causality Tests Md. Zahirul Islam Sikder 1, Dr. Md. Abdul Wadud 2 and Dr. Md. Abu Hasan 3 Abstract The
More informationArchive of SID. The Law of One Price and the Cointegration of Meat Price in the Global Market: the Case of Iran s Market. Abstract
International Journal of Agricultural Management and Development (IJAMAD) Available online on: www.ijamad.com ISSN: 2159-5852 (Print) ISSN:2159-5860 (Online) The Law of One Price and the Cointegration
More informationThe Relationship among Trade, Income and Environment in Iran
The Relationship among Trade, Income and Environment in Iran Mohsen Mehrara 1, Abbas Rezazadeh Karsalari 2, Maysam Musai 3, Reza Shafizadeh 4 1 Faculty of Economics, University of Tehran, Tehran, Iran
More informationCan Stock Adjustment Model of Canadian Investment Be Meaningful Case for Multicointegration Analysis?
DOI: 1.7763/IPEDR. 214. V69. 4 Can Stock Adjustment Model of Canadian Investment Be Meaningful Case for Multicointegration Analysis? Onur Tutulmaz 1+ and Peter Victor 2 1 Visiting Post-Doc Researcher;
More informationThe influence of the confidence of household economies on the recovery of the property market in Spain
The influence of the confidence of household economies on the recovery of the property market in Spain Luis Lample, University of San Jorge (Spain) Luis Ferruz, University of Zaragoza (Spain) Abstract
More informationDynamic Relationship between Human Capital and Economic Growth in Sri Lanka: A Cointegration Analysis
Dynamic Relationship between Human Capital and Economic Growth in Sri Lanka: A Cointegration Analysis S.Vijesandran 1 and T. Vinayagathasan 2 Department of Economics and Statistics, Faculty of Arts, University
More informationThe Relationship between Oil, Exchange Rates, and Commodity Prices
Journal of Agricultural and Applied Economics, 41,2(August 2009):501 510 Ó 2009 Southern Agricultural Economics Association The Relationship between Oil, Exchange Rates, and Commodity Prices Ardian Harri,
More informationVolume 37, Issue 1. Does European primary aluminum sector is exposed to carbon leakage? New insights from rolling analysis
Volume 37, Issue Does European primary aluminum sector is exposed to carbon leakage? New insights from rolling analysis Mohamed Amine Boutabba EPEE, University of Evry Val d Essonne Sandrine Lardic EDHEN,
More informationBeef and Milk Price Links in Turkey
Beef and Milk Price Links in Turkey By Sayed Saghaian, Associate Professor, University of Kentucky, Department of Agricultural Economics, Lexington, Kentucky. Email: ssaghaian@uky.edu Gökhan Özertan, Associate
More informationZHENG Quanyuan, LIU Zhilin. Henan University, Kaifeng, China
Economics World, Sep.-Oct. 2017, Vol. 5, No. 5, 429-434 doi: 10.17265/2328-7144/2017.05.005 D DAVID PUBLISHING The Impact of Finance Development on the Income Inequality Between the Urban and the Rural:
More informationDynamic Linkages among European Carbon Markets: Insights on price transmission
DIME International Conference -3 September, 2008 GRETHA (UMR CNRS 53), University of Bordeaux (France) September, 2008 Dynamic Linkages among European Carbon Markets: Insights on price transmission PRELIMINARY
More informationThe Causal-Effect between Carbon Dioxide Emissions and Forestry Production and Trade: A Case Study in Ghana
Article The Causal-Effect between Carbon Dioxide Emissions and Forestry Production and Trade: A Case Study in Ghana Samuel Asumadu-Sarkodie * and Phebe Asantewaa Owusu Sustainable Environment and Energy
More informationDifferences in coal consumption patterns and economic growth between developed and developing countries
Procedia Earth and Planetary Science 1 (2009) 1744 1750 Procedia Earth and Planetary Science www.elsevier.com/locate/procedia The 6 th International Conference on Mining Science & Technology Differences
More informationEvaluation of Competitiveness Indicators in Sudan During the Period ( )
2011, Vol. 2, No. 3, pp. 75-83 ISSN 2152-1034 Evaluation of Competitiveness Indicators in Sudan During the Period (1981 2005) Omran Abbass Yousif Abdallah, University of Bakht Elruda, Sudan Abstract Comparativeness
More informationFactors that affect energy consumption: An empirical study of Liaoning province in China
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(7):1727-1734 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Factors that affect energy consumption: An empirical
More informationCausality between non-oil exports and GDP growths in Iran
Causality between non-oil exports and GDP growths in Iran Naser Shahnoushi and Mohammad Bakhshoodeh Respectively, Assistant Professor, College of Agriculture, Ferdowsi University, Iran (naser.shahnoushi@gmail.com)
More informationWhat causes economic growth in Malaysia: exports or imports?
MPRA Munich Personal RePEc Archive What causes economic growth in Malaysia: exports or imports? Khairul Hashim and Mansur Masih INCEIF, Malaysia, INCEIF, Malaysia 14 August 2014 Online at https://mpra.ub.uni-muenchen.de/62366/
More informationTECHNOLOGY TRANSFER AND AGRICULTURAL GROWTH IN PAKISTAN
Pak. J. Agri. Sci., Vol. 47(1), 82-87; 2010 ISSN (Print) 0552-9034, ISSN (Online) 2076-0906 http://www.pakjas.com.pk TECHNOLOGY TRANSFER AND AGRICULTURAL GROWTH IN PAKISTAN Zahoor Hussain Javed 1, Muhammad
More informationIETI Transactions on Business and Management Sciences, 2017, Volume 2, Issue 2, An International Open Access Journal
Immobile Effect Some Variable Capital Market to Economic Growth Evidance From Indonesia Teguh Sugiarto Doctoral student Brawijaya University, Departemen Accounting Universitas Budi Luhur, Jl. Ciledug Raya,
More informationElectricity consumption and economic growth: evidence from Pakistan
MPRA Munich Personal RePEc Archive Electricity consumption and economic growth: evidence from Pakistan Attiya Yasmin Javid and Javid Muhammad and Zahid Ashraf Awan Pakistan Institute of Development Economics,
More informationFinancial development and economic growth an empirical analysis for Ireland. Antonios Adamopoulos 1
International Journal of Economic Sciences and Applied Research 3 (1): 75-88 Financial development and economic growth an empirical analysis for Ireland Antonios Adamopoulos 1 Abstract This study investigated
More informationDOES FORMAL EDUCATION AT ALL LEVELS CAUSE ECONOMIC GROWTH? EVIDENCE FROM GREECE
Volume 8, Issue 1, pp.9-32, 2015 ISSN-1843-763X DOES FORMAL EDUCATION AT ALL LEVELS CAUSE ECONOMIC GROWTH? EVIDENCE FROM GREECE Panagiotis PEGKAS *, Constantinos TSAMADIAS ** Abstract: This study empirically
More informationAnalyzing the Influence of Electricity Generation on Employment in Pakistan: An Empirical Evidence
Analyzing the Influence of Electricity Generation on Employment in Pakistan: An Empirical Evidence DR. MUHAMMAD OMER CHAUDHRY Assistant Professor of Economics, B. Z. University, Multan. MS. ISMAT NASIM
More informationAnalysis of Spanish Wholesale Gas Price Determinants and Non-stationarity Effects for Modelling
Analysis of Spanish Wholesale Gas Price Determinants and Non-stationarity Effects for Modelling Cansado-Bravo P A 1, Rodríguez-Monroy C 2, Mármol-Acitores G 3 Abstract This study expands on previous research
More informationSensitivity Of Stock Prices To Money Supply Dynamics
MPRA Munich Personal RePEc Archive Sensitivity Of Stock Prices To Money Supply Dynamics Mpho Bosupeng University of Botswana 2014 Online at https://mpra.ub.uni-muenchen.de/77924/ MPRA Paper No. 77924,
More informationCointegration, Causality and Impulse Response Analysis in Major Apple Markets of India
Agricultural Economics Research Review Vol. 27 (No.2) July-December 2014 pp 289-298 DOI: 10.5958/0974-0279.2014.00032.9 Cointegration, Causality and Impulse Response Analysis in Major Apple Markets of
More informationMALAYSIAN BILATERAL TRADE RELATIONS AND ECONOMIC GROWTH 1
MALAYSIAN BILATERAL TRADE RELATIONS AND ECONOMIC GROWTH 1 ABSTRACT Mohammed B. Yusoff 2 This paper examines the structure and trends of Malaysian bilateral exports and imports and then investigates whether
More informationSource of Economic Growth in Ethiopia: An Application of Vector Error Correction Model
Australian Academy of Business and Economics Review (AABER) ISSN (Online) 2205-6726 ISSN (Print) 2205-6734 Source of Economic Growth in Ethiopia: An Application of Vector Error Correction Model Khalid
More informationDo Exports lead Economic Output in Five Asian Countries? A Cointegration and Granger Causality Analysis
Do Exports lead Economic Output in Five Asian Countries? A Cointegration and Granger Causality Analysis Jiayi Huang and Miguel D. Ramirez Department of Economics, Trinity College, Hartford, CT 06106 Received:
More informationTHE DIRECTION OF THE RELATIONSHIP BETWEEN MONEY AND PRICES IN ALBANIA
International Journal of Education and Research Vol. 3 No. 7 July 2015 THE DIRECTION OF THE RELATIONSHIP BETWEEN MONEY AND PRICES IN ALBANIA Riada Berhani MSc (C) at Epoka University Department of Banking
More informationACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA
International Journal of Food and Agricultural Economics ISSN 2147-8988 Vol. 2 No. 3 pp. 121-128 ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA Muhammad Saddiq The University
More informationDeterminants of Coffee Export Supply in Ethiopia: Error Correction Modeling Approach
Determinants of Coffee Export Supply in Ethiopia: Error Correction Modeling Approach Hassen Beshir Hussien Wollo University, Department of Agricultural Economics (Principal Author), P.O. Box 1145, Ethiopia
More informationLONG RUN RELATIONSHIPS BETWEEN STOCK MARKET RETURNS AND MACROECONOMIC PERFORMANCE: Evidence from Turkey
LONG RUN RELATIONSHIPS BETWEEN STOCK MARKET RETURNS AND MACROECONOMIC PERFORMANCE: Evidence from Turkey Osman KARAMUSTAFA Assistant Professor Department of Business Management Faculty of Economics and
More informationAre agricultural subsidies causing more harm than good? Evidence from agricultural sector of the Republic of Macedonia
Are agricultural subsidies causing more harm than good? Evidence from agricultural sector of the Republic of Macedonia Nikola Trendov 1, Kehinde Olagunju 2, Mile Pesevski 3 Szent Istvan University 1,2
More informationThe Role of Education for the Economic Growth of Bulgaria
MPRA Munich Personal RePEc Archive The Role of Education for the Economic Growth of Bulgaria Mariya Neycheva Burgas Free University April 2014 Online at http://mpra.ub.uni-muenchen.de/55633/ MPRA Paper
More informationThe Relationship between Real Exchange Rate and Output: An Empirical Study in China
I The Relationship between Real Exchange Rate and Output: An Empirical Study in China Student:Leu,Bin-Ming Adviser: Dr.Chien,Mei-Se Institute of Finance and Information National Kaohsiung University of
More informationGlobalization And Its Impacts On Textile Industry s Export Performance In The Nigerian Economy (An Error Correction Approach)
Globalization And Its Impacts On Textile Industry s Export Performance In The Nigerian Economy 1980 2007 (An Error Correction Approach) Margaret A. Loto Abstract The paper investigated the impact of globalization
More informationTHE RELATIONSHIP BETWEEN MONEY STOCK AND ECONOMIC GROWTH OF SRI LANKA: AN AEG TESTING APPROACH
THE RELATIONSHIP BETWEEN MONEY STOCK AND ECONOMIC GROWTH OF SRI LANKA: AN AEG TESTING APPROACH A.L.Mohamed Aslam 1, S.M. Ahamed Lebbe 2 1 Sri Lanka Planning Service, Ministry of National Policy Planning,
More informationFIXED INVESTMENT, HOUSEHOLD CONSUMPTION, AND ECONOMIC GROWTH: A STRUCTURAL VECTOR ERROR CORRECTION MODEL (SVECM) STUDY OF MALAYSIA
business vol 12 no2 Update 2Feb_Layout 1 7/20/12 3:25 PM Page 63 International Journal of Business and Society, Vol. 13 No. 1, 2012, 63-76 FIXED INVESTMENT, HOUSEHOLD CONSUMPTION, AND ECONOMIC GROWTH:
More informationICAR- Indian Agricultural Statistics Research Institute, New Delhi b
Agricultural Economics Research Review Vol. 29 (Conference Number) 2016 pp 75-86 DOI: 10.5958/0974-0279.2016.00035.5 How Price Signals in Pulses are Transmitted across Regions and Value Chain? Examining
More informationChukyo University Institute of Economics Discussion Paper Series
Chukyo University Institute of Economics Discussion Paper Series April 2014 No. 1401 Oil demand and economic activity in Japan Kunihiro Hanabusa Oil demand and economic activity in Japan Kunihiro Hanabusa
More informationDo Oil Price Shocks Matter for Competition: A Vector Error Correction Approach to Russian Labor Market
International Journal of Energy Economics and Policy ISSN: 246-4553 available at http: www.econjournals.com International Journal of Energy Economics and Policy, 207, 7(4), 68-75. Do Oil Price Shocks Matter
More informationHEALTH EXPENDITURE AND ECONOMIC GROWTH NEXUS: AN ARDL APPROACH FOR THE CASE OF NIGERIA
HEALTH EXPENDITURE AND ECONOMIC GROWTH NEXUS: AN ARDL APPROACH FOR THE CASE OF NIGERIA Inuwa Nasiru and Haruna Modibbo Usman Department of Economics, Gombe State University, Gombe E-mail: ninuwa@yahoo.com
More informationTaylor Rule Revisited: from an Econometric Point of View 1
Submitted on 19/Jan./2011 Article ID: 1923-7529-2011-03-46-06 Claudia Kurz and Jeong-Ryeol Kurz-Kim Taylor Rule Revisited: from an Econometric Point of View 1 Claudia Kurz University of Applied Sciences
More informationImpact of EU membership process on equity market integration: the case of Turkey
Impact of EU membership process on equity market integration: the case of Turkey Abstract Halil Kiymaz Rollins College This paper examines the linkages and dynamic interaction among Turkey and eleven original
More information