scholarly journals Examining the Effects of Food and Product Production Values and Production Added Value on Inflation Over the Years: Empirical Evidence for Turkey

2021 ◽  
Author(s):  
Isil Tellalbasi Menguc

In this study, it is aimed to examine the effects of food and product production values on inflation. In the study, the variables of the World Bank Country Reports between 1991-2019 Consumer Price Index, Wholesale Price Index, Food Production Index, Product Production Index and Production Value Added were used. According to the results obtained from the study, there is a statistically significant relationship between TUFE and TOFE and GUE, UUE and UKD variables (p <0.01). According to the results of controlled correlation analysis, the effects of food and product production indexes on consumer and wholesale inflation level are not statistically significant (p> 0.05). The effect of UKD and GUE parameters on inflation is statistically significant (p <0.05). Explanation power of both models is very high. According to the regression coefficients, UKD has a negative effect, and GUE has a positive effect. The results show that production has a positive effect on inflation, while production value added has a decreasing effect on consumer and wholesale prices. These results show that the production in our country is actually high cost and its added value is low.

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Isil Tellalbasi Menguc ◽  

In this study, it is aimed to examine the effects of food and product production values on inflation. In the study, the variables of the World Bank Country Reports between 1991-2019 Consumer Price Index, Wholesale Price Index, Food Production Index, Product Production Index and Production Value Added were used. According to the results obtained from the study, there is a statistically significant relationship between TUFE and TOFE and GUE, UUE and UKD variables (p <0.01). According to the results of controlled correlation analysis, the effects of food and product production indexes on consumer and wholesale inflation level are not statistically significant (p> 0.05). The effect of UKD and GUE parameters on inflation is statistically significant (p <0.05). Explanation power of both models is very high. According to the regression coefficients, UKD has a negative effect, and GUE has a positive effect. The results show that production has a positive effect on inflation, while production value added has a decreasing effect on consumer and wholesale prices. These results show that the production in our country is actually high cost and its added value is low.


2016 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Erlita Marcelia ◽  
Budi S Purnomo

Abstract. This study aims to describe and measure (1) the effect of value added intellectual capital on intellectual capital disclosure, (2) the influence of intellectual capital disclosure on firm value, (3) the effect of value added intellectual capital on firm value, and (4) the effect of added value intellectual capital of firm value through intellectual capital disclosure as intervening variable. This study used a sample of banking companies listed on the Indonesia Stock Exchange in the period 2014. The sample was selected by using purposive sampling method and obtained 36 emitters who become the sample. This research uses the Pulic-Value Added Intellectual Coefficients (VAIC) model to measure the value added of intellectual capital. Company value is measured by Price to Book Value Ratio (PBV). Disclosure of intellectual capital is measured by the Intellectual Capital Disclosure Index (ICD). This study uses Partial Least Squares (PLS) to analyze the data. The results of this study indicate that (1) the added value of intellectual capital has no negative effect on intellectual capital disclosure, (2) intellectual capital disclosure has no negative effect on firm value, (3) value added of intellectual capital has positive effect on firm value, and (4) value added intellectual capital has a positive effect on firm value through intellectual capital disclosure as intervening variable.Keywords: Value added intellectual capital; disclosure of capital; intellectual, corporate value.Abstrak. Penelitian ini bertujuan untuk mendeskripsikan dan mengukur (1) pengaruh nilai tambah modal intelektual terhadap pengungkapan modal intelektual, (2) pengaruh pengungkapan modal intelektual terhadap nilai perusahaan, (3) pengaruh nilai tambah modal intelektual terhadap nilai perusahaan, dan (4) pengaruh nilai tambah modal intelektual terhadap nilai perusahaan melalui pengungkapan modal intelektual sebagai variabel intervening. Penelitian ini menggunakan sampel perusahaan perbankan yang terdaftar di Bursa Efek Indonesia pada periode tahun 2014. Sampel dipilih dengan menggunakan metode purposive sampling dan diperoleh 36 emiten yang menjadi sampel. Penelitian ini menggunakan model Pulic-Value Added Intellectual Coefficients (VAIC) untuk mengukur nilai tambah modal intelektual. Nilai  perusahaan diukur dengan Price to Book Value Ratio (PBV). Pengungkapan modal intelektual diukur dengan Intellectual Capital Disclosure Index (ICD). Penelitian ini menggunakan Partial Least Squares (PLS) untuk menganalisis data. Hasil penelitian ini menunjukkan bahwa (1) nilai tambah modal intelektual tidak berpengaruh negatif terhadap pengungkapan modal intelektual, (2) pengungkapan modal intelektual tidak berpengaruh negatif terhadap nilai perusahaan, (3) nilai tambah modal intelektual berpengaruh positif terhadap nilai perusahaan, dan (4) nilai tambah modal intelektual berpengaruh positif terhadap nilai perusahaan melalui pengungkapan modal intelektual sebagai variabel intervening.Kata Kunci: nilai tambah modal intelektual; pengungkapan modal; intelektual; nilai perusahaan.


2016 ◽  
Vol 9 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Sebastian Lazăr

AbstractThe paper investigates firm-specific determinants of firm profitability for Romanian listed companies over the 2000-2011 period within the framework of resource based view of the firm. The results show that tangibles, leverage, size and labour intensity have negative effect on firm performance, while sales growth and value added have a positive effect. The results prove robust when introducing two-way fixed effects model and industry year effects model (in order to simultaneously account for specific industry characteristics and time effects).


2019 ◽  
Vol 6 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Sandeepa Kaur

Volatility is quite evident in stock market fluctuations and often economic factors results in share prices movements. However, there are some fundamental elements, which have a strong impact over the fluctuations of the stock market by and large. This study empirically tested the interconnection between macro-economic factors and Indian stock market. By applying multivariate regression analysis, the effect of macro-economic factors on Indian stock market is tested. The explanatory variables are Wholesale Price Index (WPI), Index of Industrial Production (IIP), Money Supply (M3), Consumer Price Index (CPI), Exchange Rate (ER), Call Money Rate (CMR), Gold Price (GP), Foreign Institutional Investment (FII) and Trade Balance (TB) while explained factors are average monthly closing prices of BSE Sensex and S&P Nifty. Further, for testing the interconnection between macro-economic factors and Indian stock market Pearson's correlation, Factor Analysis and Multiple Regression test have been applied. Three variables namely Economy Rates, Macro Environment and Foreign Investment are obtained by using Principal Component Technique (varimax pivot). It shows that all elements play critical role in affecting the stock market.


2017 ◽  
Vol 23 (4) ◽  
pp. 567-588 ◽  
Author(s):  
Rizwan RAHEEM AHMED ◽  
Jolita VVEINHARDT ◽  
Dalia ŠTREIMIKIENĖ ◽  
Saghir Pervaiz GHAURI ◽  
Nawaz AHMAD

This research is an attempt to framework the applied strides to evaluate the long run relationship among commonly used inflation proxies induces such as, wholesale price index (WPI) and consumer price index (CPI), and crude oil price (COP) with KSE100 index returns. In this research we used monthly data for the time period from July 1995 to June 2016, and thus, in this way total 252 observations have been considered. Time series have been made stationary by applying ADF and PP tests at first difference. Johansen multivariate conintegration approach was used to test the long-term association amongst the considered macroeconomic variables. The results indicated that CPI and COP significantly affect KSE100 index returns that indicated CPI along with COP have foreseen power to impact KSE100 index. In contrary, the results of WPI and COP do not have long run relationship with KSE100 index in case of Pakistani economy. Results of variance decomposition exhibited that the index of LKSE100 was realistically rarer exogenous in connection to distinctive factors, as around 92.31% of its variation was explained due to its own specific shocks. It is concluded that CPI and COP can impact the KSE100 index returns. It is confirmed by the results of impulse response function that there is a positive and long run relationship between KSE100 returns and consumer price index (proxy of inflation) and international crude oil prices.


2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Apriyanti Apriyanti ◽  
Muhammad Agus Sudrajat

This study aims to test empirically the financial performance measured through Return OnAssets (ROA), Return on Investment (ROI), Earning Per Share (EPS), Return On Equity (ROE),Operating Cash Flow (OCF), Net Profit Margin (NPM) and Economic Value Added (EVA) partially and simultaneously affect the Rate of Return (ROR). The population in this study are allaward winning companies namely Annual Report Award (ARA), Indonesian CSR Award (ICA),Indonesia Sustainability Reporting Awards (ISRA) year 2013-2015. The sampling techniqueused is purposive sampling, after passing through the screening process obtained 38 samples ofthe Company. The analize technique used is linear regression. The results showed that ROA hadsignificant negative effect; ROI, EPS, ROE, NPM have a significant positive effect; OCF has nosignificant negative effect; EVA doesn’t show any significant positive effect on ROR. Simultaneously ROA, ROI, EPS, ROE, OCF, NPM, EVA have significant positive effect to ROR.Keywords: EPS, EVA,NPM, OCF, ROR.


2019 ◽  
Vol 11 (10) ◽  
pp. 2740 ◽  
Author(s):  
Myoung Shik Choi ◽  
Bongsuk Sung ◽  
Woo-Yong Song

This study investigates the role of value-added bilateral trade focused on global value chains to achieve sustainable economic development. Our findings address trade policy implications that help to mitigate the global imbalances and exchange rate conflicts. These policies are expected to provide a competitive advantage that can be crucial to the sustainability of free trade. We apply traditional trade models to the value-added framework to examine the effects on value-added trade. Empirically, we investigate the bilateral value-added trade for recent years. Our major findings are that currency devaluation has a positive effect on value-added exports but has a negative effect on gross exports because of the effect on intermediate goods trading dominating the effect on international trade, i.e., the effect on foreign content of intermediate imports dominating the effect on the domestic content of exports. The same effect applies to imports. Also, we confirm that foreign income has a positive effect on exports and value-added exports, and domestic income has a positive effect on imports and value-added imports. However, their effects on trade balance are not consistent. Our major findings imply that the analysis of value-added trade can best contribute to the sustainability of global free trade by considering trade policies as a result of reflecting the easing of the global imbalance and the exchange rate war.


2019 ◽  
Vol 8 (2) ◽  
pp. 144-179 ◽  
Author(s):  
Bhavesh Salunkhe ◽  
Anuradha Patnaik

The present study estimates various specifications of the New Keynesian Phillips Curve (NKPC) models for India over 1996Q2 to 2017Q2 using Consumer Price Index (CPI) and Wholesale Price Index (WPI) inflation, separately. The empirical results suggest that the data support all the specifications of the Phillips curve models based on both the CPI and WPI inflations. However, the backward looking and hybrid models provide robust results for both the inflation indices. While the forward-looking behaviour dominates the CPI inflation trajectory, the backward-looking behaviour greatly influences the trajectory of WPI inflation. Also, a small-to-moderate degree of persistence is evident in both the CPI and WPI inflation. The output gap, which mainly represents the demand side pressures, turns up the major force determining both the CPI and WPI inflations. Besides the output gap, real effective exchange rate (reer), international crude oil price inflation, global non-fuel commodity price inflation and rainfall have a modest impact on the CPI and WPI inflations. JEL Classification: E12, E52, C36, C14


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