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Journal articles on the topic 'Empirical demand analysis'

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Published: 10 December 2022

Last updated: 28 January 2023

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1

Lazaro, Edith, Abdoul G. Sam, and Stanley R. Thompson. "Rice demand in Tanzania: an empirical analysis." Agricultural Economics 48, no. 2 (December 29, 2016): 187–96. http://dx.doi.org/10.1111/agec.12325.

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2

Joseph N.M, Joseph N. M., and Dr S. Mahendrakumar Dr.S. Mahendrakumar. "An Analysis of Demand and Supply of Water Resource in Karnataka – An Empirical Study." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 96–98. http://dx.doi.org/10.15373/22778179/may2014/31.

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3

Bossler, Mario. "Recruiting abroad: an empirical analysis." International Journal of Manpower 37, no. 4 (July 4, 2016): 590–605. http://dx.doi.org/10.1108/ijm-12-2014-0233.

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Purpose – In many European countries labor markets became more and more demand oriented. However, the average use of recruiting abroad is still low. From a firm perspective, recruiting abroad comes at substantial costs and risks. The purpose of this paper is to identify mechanisms leading to the use of recruiting from abroad. Design/methodology/approach – Effects are retrieved from simple OLS regressions as well as from demand-sided instrumental variable specifications applied to a large German establishment-level dataset. Findings – The share of foreign workers in the contemporary work force enhances recruiting abroad, which is in line with theoretical considerations that foreigners indicate of successful international assignments. The results also indicate that internationally operating businesses more likely recruit from abroad. Furthermore, the author finds that market forces are relevant for the strategy to recruit abroad. Both, the regional scarcity of labor and a high demand for skilled labor affect the employer’s decision to recruit abroad. Social implications – The results indicate that internationally oriented businesses more likely recruit abroad. Furthermore, labor market mechanisms, such as scarcities, are functional and foster the use of foreign labor markets. Originality/value – This study adds to the literature by providing first empirical evidence on recruiting abroad, which is the use of foreign labor markets.

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4

Khan, Saad Uddin, Sanam Wagma Khattak, Amjad Amin, and Huma Ashar. "EMPIRICAL ANALYSIS OF AGGREGATE EXPORT DEMAND OF PAKISTAN." Journal of Global Innovations in Agricultural and Social Sciences 04, no. 01 (April 1, 2016): 50–55. http://dx.doi.org/10.17957/jgiass/4.1.728.

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5

Ong, Seow-Eng, Milena Petrova, and Andrew Spieler. "Demand for University Student Housing: An Empirical Analysis." Journal of Housing Research 22, no. 2 (January 1, 2013): 141–64. http://dx.doi.org/10.1080/10835547.2013.12092073.

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6

Narayan, Seema, and Paresh Kumar Narayan. "An empirical analysis of Fiji's import demand function." Journal of Economic Studies 32, no. 2 (April 2005): 158–68. http://dx.doi.org/10.1108/01443580510600931.

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7

Ziegert, A. L. "The Demand for Housing Additions: An Empirical Analysis." Real Estate Economics 16, no. 4 (December 1988): 479–96. http://dx.doi.org/10.1111/1540-6229.00469.

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8

Dusansky, Richard, Çağatay Koç, and Ilke Onur. "Household Housing Demand: Empirical Analysis and Theoretical Reconciliation." Journal of Real Estate Finance and Economics 44, no. 4 (March 31, 2010): 429–45. http://dx.doi.org/10.1007/s11146-010-9240-9.

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9

Wijeweera, Albert, Hong To, and Michael Charles. "An empirical analysis of Australian freight rail demand." Economic Analysis and Policy 44, no. 1 (March 2014): 21–29. http://dx.doi.org/10.1016/j.eap.2014.01.001.

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10

Le, Thai-Ha, Youngho Chang, and Donghyun Park. "Energy demand convergence in APEC: An empirical analysis." Energy Economics 65 (June 2017): 32–41. http://dx.doi.org/10.1016/j.eneco.2017.04.013.

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11

Martinez, Eugenio, Raul Mejia, and Eliseo J. Pérez-Stable. "An empirical analysis of cigarette demand in Argentina." Tobacco Control 24, no. 1 (June 12, 2013): 89–93. http://dx.doi.org/10.1136/tobaccocontrol-2012-050711.

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12

Crihfield, John B. "A STRUCTURAL EMPIRICAL ANALYSIS OF METROPOLITAN LABOR DEMAND*." Journal of Regional Science 29, no. 3 (August 1989): 347–71. http://dx.doi.org/10.1111/j.1467-9787.1989.tb01383.x.

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13

De Vita, G., K. Endresen, and L. C. Hunt. "An empirical analysis of energy demand in Namibia." Energy Policy 34, no. 18 (December 2006): 3447–63. http://dx.doi.org/10.1016/j.enpol.2005.07.016.

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14

Rapaport, Carol. "Housing Demand and Community Choice: An Empirical Analysis." Journal of Urban Economics 42, no. 2 (September 1997): 243–60. http://dx.doi.org/10.1006/juec.1996.2023.

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15

Yang, B. M. "Supply and Demand Elasticities of Physician Services: Disequilibrium Analysis." Asia Pacific Journal of Public Health 1, no. 2 (April 1987): 26–31. http://dx.doi.org/10.1177/101053958700100206.

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Numerous empirical works have examined the demand for and supply of physician services during the past 15 years. Almost all simultaneous equation models have used the assumption of an equilibrium condition in the physician services market. The assumption of an equilibrium market for physician services may not be realistic, at least not in the short term, because the cost of physician services is insufficiently flexible or because of the induced demand on the part of physicians. Different market assumptions will result in different model formulations and model estimations, and with different empirical implications of the estimated results. The paper has used the US aggregate time-series data, 1950 to 1980, to estimate the demand and supply relationship of physician services, similar to the model specified in the Martin Feldstein article, 1 under a disequilibrium physician services market assumption. The maximum likelihood method is used for the empirical estimation. Contrary to Feldstein's earlier findings, the price elasticity of the demand for physicians is statistically significant with expected signs under a disequilibrium condition. The elasticity of supply of physician services is also, as expected, positive and statistically significant. Economic and policy implications are discussed based on these findings. This paper should fill empirically the gap that has been noted by previous researchers on the demand for physician services.

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16

Ozhegova, A. R., and E. M. Ozhegov. "Estimation of Demand Function for Performing Arts: Empirical Analysis." Journal of the New Economic Association 37, no. 1 (2018): 87–110. http://dx.doi.org/10.31737/2221-2264-2018-37-1-4.

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17

Dash, Aruna Kumar, Subhendu Dutta, and Rashmi Ranjan Paital. "Bilateral Export Demand Function of India: An Empirical Analysis." Theoretical Economics Letters 08, no. 11 (2018): 2330–44. http://dx.doi.org/10.4236/tel.2018.811151.

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18

Muhammad, Malik, and Umar Riaz. "Disaggregated Imports Demand Functions: An Empirical Analysis for Pakistan." Journal of Quantitative Methods 2, no. 2 (August 2018): 7–27. http://dx.doi.org/10.29145/2018/jqm/020202.

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19

TANG, Tuck Cheong. "An empirical analysis of China's aggregate import demand function." China Economic Review 14, no. 2 (January 2003): 142–63. http://dx.doi.org/10.1016/s1043-951x(03)00021-x.

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20

Paga, Enrique, and Fatih Birol. "An empirical analysis of oil demand in developing countries." OPEC Review 18, no. 1 (March 1994): 25–46. http://dx.doi.org/10.1111/j.1468-0076.1994.tb00492.x.

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21

Sridharan, P., S. Thiyagarajan, and Mohammad Kashif. "An Empirical Analysis of China's International Reserves Demand Function." Management Studies and Economic Systems 3, no. 1 (July 2016): 1–10. http://dx.doi.org/10.12816/0037250.

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22

Banfi, Silvia, Mehdi Farsi, and Massimo Filippini. "AN EMPIRICAL ANALYSIS OF CHILD CARE DEMAND IN SWITZERLAND." Annals of Public and Cooperative Economics 80, no. 1 (March 2009): 37–66. http://dx.doi.org/10.1111/j.1467-8292.2008.00377.x.

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23

Gurbaxani, Vijay. "The demand for information technology capital An empirical analysis." Decision Support Systems 8, no. 5 (September 1992): 387–403. http://dx.doi.org/10.1016/0167-9236(92)90025-k.

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24

Primmer, Eeva, Heli Saarikoski, and Arild Vatn. "An Empirical Analysis of Institutional Demand for Valuation Knowledge." Ecological Economics 152 (October 2018): 152–60. http://dx.doi.org/10.1016/j.ecolecon.2018.05.017.

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25

Riyandi, Galih. "META-ANALYSIS OF MONEY DEMAND IN INDONESIA." Buletin Ekonomi Moneter dan Perbankan 15, no. 1 (October 3, 2012): 41–62. http://dx.doi.org/10.21098/bemp.v15i1.415.

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Theory and empirical study about demand for money is the key feature in macroeconomics theory. The study about demand for money in Indonesia has been developing with various techniques. Its result in various analyses can be difficult in understanding behaviour of demand for money in Indonesia. This paper aims to find out the tendency of demand for money in Indonesia by analyzing long run and short run income elasticity and opportunity cost elasticity. We use fixed effects meta-analysis and unweighted average meta-analysis. The result shows that income elasticity and opportunity cost elasticity are consistent with theory of money demand. That result can be used as an empirical foundation to future study about demand for money in Indonesia. Keywords: demand for money, meta analysis, fixed effects.JEL Classification code: E41, E52

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26

Wang, Guang Fu. "The Empirical Analysis of the Driving Factors of China Coal Demand." Advanced Materials Research 361-363 (October 2011): 1290–95. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1290.

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This paper tests the long-term equilibrium relations and short-term dynamic relations by applying Johansen co-integration test and VECM model among the coal demand, economic aggregate, economic structure, energy consumption efficiency, and urbanization level of china. It shows that there is a long-term equilibrium relation among above variables. Then the long-term elasticity of coal demand to other variables is given. It also shows, in the short run, the T time coal demand will affected by T-2 time economic aggregate, T-2 time urbanization level, T-1 time coal demand, and T-2 time coal demand. At last, the paper gives suggestions on how to control coal consumption in china.

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27

Shin, Ilsoon. "An Empirical Analysis of Demand Transition From CATV to IPTV." Journal of Market Economy 50, no. 2 (June 2021): 41–68. http://dx.doi.org/10.38162/jome.50.2.3.

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28

McKean, John R., Donn M. Johnson, and Richard G. Walsh. "Valuing Time in Travel Cost Demand Analysis: An Empirical Investigation." Land Economics 71, no. 1 (February 1995): 96. http://dx.doi.org/10.2307/3146761.

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29

Lee, Sang-Woo, Sun-Me Choi, Jun-Seon Park, and Myeong-Cheol Park. "Empirical Analysis of Induced Demand Resulted from LTE Service Launching." Journal of Korea Information and Communications Society 37, no. 8C (August 31, 2012): 741–49. http://dx.doi.org/10.7840/kics.2012.37c.8.741.

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30

Jung, Cho-See, and Gil-Soo Shin. "Empirical Analysis on Cultural Industry Demand in Chung-Buk Province." Journal of the Korea Contents Association 7, no. 10 (October 28, 2007): 165–74. http://dx.doi.org/10.5392/jkca.2007.7.10.165.

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31

Oyvat, Cem, Oğuz Öztunalı, and Ceyhun Elgin. "Wage‐led versus profit‐led demand: A comprehensive empirical analysis." Metroeconomica 71, no. 3 (March 6, 2020): 458–86. http://dx.doi.org/10.1111/meca.12284.

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32

Wagner, Caroline, and Roland Linder. "The demand for EU cross-border care: An empirical analysis." Journal of Management & Marketing in Healthcare 3, no. 2 (June 2010): 176–87. http://dx.doi.org/10.1179/175330310x12736577732809.

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33

Mishra, Bibhuti Ranjan, and Asit Mohanty. "An Empirical Analysis of Aggregate Import Demand Function for India." Global Economy Journal 17, no. 4 (October 12, 2017): 20170049. http://dx.doi.org/10.1515/gej-2017-0049.

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This paper examines the behaviour of Indian aggregate imports during the period 1980–81 to 2013–14. The stability of aggregate import demand function is examined using five types of cointegration tests including the ARDL bounds test. In order to estimate the long-run elasticities, we have applied three alternative fully efficient cointegrating regressions, autoregressive distributed lag (ARDL) model and Johansen maximum likelihood method. Our results reveal cointegration relationship between import demand, relative prices of import, domestic activity and foreign exchange reserves. Results evince that, in the long-run, the response of import demand to relative import prices is negative and less than unity, whereas it’s response to domestic activity/income is positive and more than unity. The foreign exchange reserve has a positive effect on imports.

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34

MASIH, RUMI. "An empirical analysis of the demand for commercial television advertising." Applied Economics 31, no. 2 (February 1999): 149–63. http://dx.doi.org/10.1080/000368499324381.

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35

Syntetos, A. A., M. Z. Babai, Y. Dallery, and R. Teunter. "Periodic control of intermittent demand items: theory and empirical analysis." Journal of the Operational Research Society 60, no. 5 (May 2009): 611–18. http://dx.doi.org/10.1057/palgrave.jors.2602593.

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36

Veloce, William, and Arnold Zellner. "Entry and empirical demand and supply analysis for competitive industries." Journal of Econometrics 30, no. 1-2 (October 1985): 459–71. http://dx.doi.org/10.1016/0304-4076(85)90151-4.

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37

Soysal, Gonca P., and Lakshman Krishnamurthi. "Demand Dynamics in the Seasonal Goods Industry: An Empirical Analysis." Marketing Science 31, no. 2 (March 2012): 293–316. http://dx.doi.org/10.1287/mksc.1110.0693.

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38

Haider, Adnan, Qazi Masood Ahmed, and Zohaib Jawed. "Determinants of Energy Inflation in Pakistan: An Empirical Analysis." Pakistan Development Review 53, no. 4II (December 1, 2014): 491–504. http://dx.doi.org/10.30541/v53i4iipp.491-504.

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Energy inflation has remained a significant topic in macroeconomic policy for the past few decades. This is due to several reasons pertaining to both demand and supply sides. In addition, the history of energy prices has also been characterised by extreme volatilities, Hamilton (2008). This makes forecasting and modelling of energy prices difficult, nevertheless it is important to model and forecast energy prices in all economies. In this paper we have tried to identify the determinants of energy inflation in Pakistan. Energy products are a critical component in any economy, serving as a core input, particularly in manufacturing industries. Moreover, the demand for energy and fuel comes from households fuelling cars and kitchens for which other alternatives are not easily available. This renders the demand inelastic compared to any other good [Edelstein and Kilian (2009)], making economies vulnerable to supply and price shocks. The energy price inflation therefore through cost push inflation and demand-pull inflation has a major impact on core inflation itself, thereby playing a significant role in macroeconomic health of a country. As predicted by Ben Bernanke for the US in 2006, “in the long run energy prices can reduce the productive capacity of US economy if high energy costs make businesses less willing to invest new capital”. The nature of the energy market itself creates a major gap between the oil consumers and oil producers. Whilst demand is inelastic everywhere, supply is limited and is difficult to increase, and confined to certain regions on Earth. This is true particularly for two of the most common energy types: oil and gasoline. The supply of oil is controlled by a few countries, and supply shocks therefore lead to an immediate surge in prices.

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39

Li, Chang Sheng, Qing Ling Li, Zhong Min Lei, Han Yang, and Hui Qing Qu. "The Relationship between Economics Growth and Energy Consumption in China-A Empirical Analysis Based on Energy Kuznets Curve." Advanced Materials Research 1073-1076 (December 2014): 2457–61. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.2457.

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These paper investigated the relationship between economics development and energy demands based on Energy Kuznets Curve (EFC) in China. The results show that, the prospects of economics and energy demand in China in further will undergo three important stages to 2050.The peak of energy demand maybe around 2035 and the corresponding total energy demand maybe amount 5.7 billion tce. In 2035, the GDP per capital maybe about 17000 (2005 US$) and the urbanization will reach a relative high level. It is urgent for China to take actions to curb the increasing total energy consumption.

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40

Kerdpitak, Chayanan. "Demand for Money Function in Case of Philippines: An Empirical Analysis." Research in World Economy 11, no. 1 (March 6, 2020): 220. http://dx.doi.org/10.5430/rwe.v11n1p220.

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An effective formulation of monetary policy provides an empirical and coherent model of money related with demand. In order for the monetary authorities to understand the demand for the purpose of money function, the steadiness of money demand is important as it leads towards an application of efficient monetary policy. In order to examine the stability of money demand function of Philippines, following study was conducted with broad money, real asset price index, GDP deflator, real GDP, long-term interest rate and short-term interest rate. For empirical investigation, unit root test, cointegration, and Granger-Causality tests were used. However, the findings of the cointegration suggests that cointegration reveals there is presence of linear combinations, and results shows that there are four cointegrating equations present. Therefore, it is evident that there are at least 4 cointegrating relations between the variables. Hence, some of macroeconomic indicators can be used to predict the broad money due to presence of vector. However, the Granger-Causality shows that no macroeconomic variable granger cause broad money (M1). Therefore, the selected macroeconomic indictors RS, LS, CPI, GDP deflator, RGDP and AP/P cannot be used to predict the variation in the broad money (M1) in case of Philippines. This means the money demand function in Philippines is not stable, and for this purpose further investigation is suggested by increasing sample size and time window in quarterly or semi-annually.

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41

Arestis, Philip, Fernando Filho, and Terra Bittes. "Keynesian macroeconomic policy: Theoretical analysis and empirical evidence." Panoeconomicus 65, no. 1 (2018): 1–20. http://dx.doi.org/10.2298/pan1801001a.

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Investment depends on subjective factors, such as expectations, conventions, and confident animal spirits. In a context of economic instability and crises, economic policy is the main source to support entrepreneurs? expectations and investment. In this sense, macroeconomic policies are capable of affecting effective demand and building a good institutional environment, which is essential to keep the entrepreneurs? expectations confident and promote their animal spirits. Given these propositions, this contribution has two objectives. The first is to develop a Keynesian type of macroeconomic policy able to stimulate investment and effective demand, and, as a result, mitigate unemployment. The idea is to offer alternative macroeconomic policy prescriptions in relation to the New Consensus Macroeconomics one. This proposal aims to establish the role, according to the Post Keynesian view, the logic of operation of each policy, and the proper coordination among these Keynesian macroeconomic policies. The second objective is to present, briefly, relevant empirical evidence of the Post Keynesian macroeconomic policies.

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42

V. David, Bouras, and Wesseh Wollo. "Oligopoly Power, Cross-Market Effects and Demand Relatedness: An Empirical Analysis." European Journal of Economics and Business Studies 6, no. 3 (October 12, 2020): 18. http://dx.doi.org/10.26417/800xjj79f.

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The goal of the paper is to develop a conceptual framework that can be used to examine market competitiveness and assess cross-market effects in a multi-product oligopoly consisting of firms producing and selling various demand-related products. The econometric model which consists of two inverse demand functions and two price-margin equations is applied to the US catfish processing industry. Focusing on fresh catfish filet and whole fresh catfish, the empirical results rule out the existence of cross-market effects, but give support to the existence of some degree of market power. In that setting, the oligopoly power indices are, respectively, 18.2 percent and 13.3 percent for fresh catfish filet and whole fresh catfish thereby indicating that the price distortion is more pronounced in the market for fresh catfish filet than it is in the market for whole fresh catfish.

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43

Hamidian, Nooshin, Rapinder Sawhney, and Ninad Pradhan. "An empirical analysis of capacity and flexibility planning under demand uncertainty." International Journal of Management Science and Engineering Management 16, no. 3 (June 15, 2021): 165–74. http://dx.doi.org/10.1080/17509653.2021.1930603.

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44

Singh, Rakesh Kumar. "Water Demand Function of Residents of Delhi (India):An Empirical Analysis." Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 57, no. 2 (June 1, 2015): 99. http://dx.doi.org/10.21648/arthavij/2015/v57/i2/100397.

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45

Yangdol, Rigzin, and Mandira Sarma. "Demand-side Factors for Financial Inclusion: A Cross-country Empirical Analysis." International Studies 56, no. 2-3 (April 2019): 163–85. http://dx.doi.org/10.1177/0020881719849246.

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The importance of an inclusive financial system in the overall growth and economic development of a nation is well recognized. While most studies on financial inclusion use supply-side data, this article presents a demand-side analysis of factors associated with financial inclusion. Making use of a large cross-country data on financial inclusion status and individual characteristics of adult individuals, we econometrically establish that individual characteristics and economic circumstances play very significant role in determining financial inclusion of adult individuals, after taking into account other factors of the country. The article uses three indicators of financial inclusion and several explanatory variables such as country-specific factor (gross domestic product [GDP] per capita), individual characteristics and individual economic circumstances of adult individuals from different countries. We find that in general, being woman, less educated, jobless and poor are negatively associated with financial inclusion of individuals. Enhanced level of education and income, in general, enhances likelihood of financial inclusion. These findings should be taken into account while formulating policies towards promotion of financial inclusion.

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46

Mehta, Nitin, Xinlei (Jack) Chen, and Om Narasimhan. "Examining Demand Elasticities in Hanemann's Framework: A Theoretical and Empirical Analysis." Marketing Science 29, no. 3 (May 2010): 422–37. http://dx.doi.org/10.1287/mksc.1090.0524.

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47

Pirttilä, Jukka, and Ilpo Suoniemi. "Public Provision, Commodity Demand, and Hours of Work: An Empirical Analysis." Scandinavian Journal of Economics 116, no. 4 (August 4, 2014): 1044–67. http://dx.doi.org/10.1111/sjoe.12079.

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48

Romano, Giulia, Nicola Salvati, and Andrea Guerrini. "An empirical analysis of the determinants of water demand in Italy." Journal of Cleaner Production 130 (September 2016): 74–81. http://dx.doi.org/10.1016/j.jclepro.2015.09.141.

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49

Bentzen, Jan. "An empirical analysis of gasoline demand in Denmark using cointegration techniques." Energy Economics 16, no. 2 (April 1994): 139–43. http://dx.doi.org/10.1016/0140-9883(94)90008-6.

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50

Goodwin, Barry K. "An Empirical Analysis of the Demand for Multiple Peril Crop Insurance." American Journal of Agricultural Economics 75, no. 2 (May 1993): 425–34. http://dx.doi.org/10.2307/1242927.

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