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Journal articles on the topic 'Growth of output'

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Published: 4 June 2021
Last updated: 8 February 2022

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1

Van Hoa, Tran. "Modelling output growth." Economics Letters 38, no. 3 (March 1992): 279–84. http://dx.doi.org/10.1016/0165-1765(92)90071-6.

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2

Li, Chol-Won. "Growth and Output Fluctuations." Scottish Journal of Political Economy 47, no. 2 (May 2000): 95–113. http://dx.doi.org/10.1111/1467-9485.00155.

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3

Britton, Andrew. "Output Growth and Unemployment." National Institute Economic Review 118 (November 1986): 89–91. http://dx.doi.org/10.1177/002795018611800110.

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4

Fountas, Stilianos, Menelaos Karanasos, and Jinki Kim. "Inflation and output growth uncertainty and their relationship with inflation and output growth." Economics Letters 75, no. 3 (May 2002): 293–301. http://dx.doi.org/10.1016/s0165-1765(02)00009-5.

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5

Ülke, Volkan, Serdar Varlik, and M. Hakan Berument. "The effect of output growth volatility on output growth: empirical evidence from Turkey." Applied Economics Letters 26, no. 6 (July 5, 2018): 522–31. http://dx.doi.org/10.1080/13504851.2018.1488035.

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6

Tobias, Justin L. "Forecasting output growth rates and median output growth rates: a hierarchical Bayesian approach." Journal of Forecasting 20, no. 5 (2001): 297–314. http://dx.doi.org/10.1002/for.800.

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7

Antonakakis, Nikolaos, and Harald Badinger. "International Spillovers of Output Growth and Output Growth Volatility: Evidence from the G7." International Economic Journal 26, no. 4 (December 2012): 635–53. http://dx.doi.org/10.1080/10168737.2011.631025.

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8

Faal, Ebrima. "Gdp Growth, Potential Output, and Output Gaps in Mexico." IMF Working Papers 05, no. 93 (2005): 1. http://dx.doi.org/10.5089/9781451861129.001.

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9

Rötheli, Tobias F. "Output Growth and Output Variability: Quantifying Connections and Tradeoffs." Review of Economics 63, no. 1 (January 1, 2012): 1–17. http://dx.doi.org/10.1515/roe-2012-0101.

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SummaryWe study the historical trends in the coverage of the related topics growth and stability in the field of macroeconomics. It is argued that over the past 25 years research on growth has quantitatively dominated research on output variability. The article seeks to make a contribution to an integrated study of output growth and output volatility. This integration builds on ideas proposed by Fischer Black. We clarify Black’s contribution and show that the variability of output depends on the level of output as well as on the growth rate of output. The study then focuses on the experience of OECD countries since 1970. Based on statistical estimates we document the minimal (or efficient) level of output variability that a country could have achieved over the last four decades. This normative benchmark is similar to the notion of a tradeoff between portfolio return and portfolio variance known from the field of finance. A country’s excessive level of output variability suggests necessary improvements in the design of stabilization and regulation policies. The international comparison of countries based on this approach indicates that many (although not all) of the high growth economies have experienced output variability significantly above the efficient level.
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10

Kirti, Divya. "Lending Standards and Output Growth." IMF Working Papers 18, no. 23 (2018): 1. http://dx.doi.org/10.5089/9781484339671.001.

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11

BUGAMELLI, MATTEO, and FRANCESCO PATERNÒ. "Output Growth Volatility and Remittances." Economica 78, no. 311 (November 9, 2009): 480–500. http://dx.doi.org/10.1111/j.1468-0335.2009.00838.x.

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12

Badinger, Harald. "Output volatility and economic growth." Economics Letters 106, no. 1 (January 2010): 15–18. http://dx.doi.org/10.1016/j.econlet.2009.09.012.

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13

Chowdhury, Kushal Banik, and Nityananda Sarkar. "REGIME DEPENDENT EFFECT OF OUTPUT GROWTH ON OUTPUT GROWTH UNCERTAINTY: EVIDENCE FROM OECD COUNTRIES." Bulletin of Economic Research 71, no. 3 (May 21, 2018): 257–82. http://dx.doi.org/10.1111/boer.12158.

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14

Barrell, Ray, and Simon Kirby. "Trend Output and the Output Gap in the UK." National Institute Economic Review 215 (January 2011): F63—F74. http://dx.doi.org/10.1177/0027950111401138.

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This note looks at estimates of the current scale of the output gap in the UK and at the factors that affect estimates of the trend rate of growth. These issues are central to the debate on macroeconomic policy, both in the short and the long run. The speed at which the economy returns to full capacity, along with the scale of the output gap, will be important factors affecting average growth over the next five years. In the longer term, trend growth at full capacity is not immutable, but rather depends upon the rate of labour augmenting technical progress and the growth of the labour force. In the medium term these factors can be added to by temporary bursts of capital augmenting technical progress and by changes in the user cost of capital that may change the optimal capital-output ratio. Other factors, such as the cost of materials, also affect potential output. Over the past few months there has also been a significant rise in oil prices, and we judge this to have a strong permanent component which will reduce trend growth in the short term and trend output in the longer term. Its implications are more fully discussed in Barrell, Delannoy and Holland in this Review.
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15

Emmanuel Ziramba, Bernie Zaaruka, Johanna Mumangeni, Charlotte Tjeriko, and Jaungura Kaune. "The Output Gap and Potential Output in Namibia." Journal of Economics and Behavioral Studies 11, no. 5(J) (December 9, 2019): 69–75. http://dx.doi.org/10.22610/jebs.v11i5(j).2967.

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The study analysed the behaviour of potential output and output gap for the Namibian economyusing annual data from 1980 to 2016. The study employed the Hodrick-Prescott (HP) filter method and theproduction function approaches to estimate potential output before calculating the output gap. The resultssuggest an annual average growth rate of 3.6 percent in potential output. However, it has been noted that theaverage annual growth rate in potential output has been shifting during the period under review. In fact, theresults suggest an annual average growth rate of 1.6 percent between 1980 and 1985 and an increase to 2.5percent per year for the period 1986 to 1990. Potential output estimates obtained using the productionfunction approach was smooth and stable throughout the study period. The potential output estimatesobtained through the two methods follow the same cyclical movements. The output gap estimates from thetwo techniques are not different from each other, and they appear to move together.
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16

Valadkhani, Abbas, Charles Harvie, and Indika Karunanayake. "Global output growth and volatility spillovers." Applied Economics 45, no. 5 (February 2013): 637–49. http://dx.doi.org/10.1080/00036846.2011.608648.

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17

Keating, Edward G. "Debate: Mitigating defence output cost growth." Public Money & Management 38, no. 4 (March 22, 2018): 258–60. http://dx.doi.org/10.1080/09540962.2018.1449464.

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18

Chen, Yongwei, and Dong Li. "RMB Appreciation, Output Growth, and Inflation." Economic and Political Studies 1, no. 2 (July 2013): 3–17. http://dx.doi.org/10.1080/20954816.2013.11673857.

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19

Obudah, Bodiseowei C., and Steve S. Tombofa. "Agricultural financing, output and macroeconomic growth." African J. of Economic and Sustainable Development 5, no. 4 (2016): 287. http://dx.doi.org/10.1504/ajesd.2016.079415.

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20

Kozlov, N. V. "Hours worked and output growth reserves." Studies on Russian Economic Development 17, no. 3 (May 2006): 259–66. http://dx.doi.org/10.1134/s107570070603004x.

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21

Capolupo, Rosa. "Output Taxation, Human Capital and Growth." Manchester School 68, no. 2 (March 2000): 166–83. http://dx.doi.org/10.1111/1467-9957.00188.

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22

Ajide, Kazeem Bello, Ibrahim D. Raheem, and Oluwatosin Adeniyi. "Output growth volatility, remittances and institutions." International Journal of Development Issues 14, no. 3 (September 7, 2015): 190–203. http://dx.doi.org/10.1108/ijdi-06-2015-0039.

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Purpose – The purpose of this paper is to empirically examine the role of institutions on the remittances–output growth volatility relationship. Design/methodology/approach – The data set of this paper is limited to 71 remittances recipient countries. In an attempt to deal with endogeneity issues, the paper adopts the use of system generalised method of moment (GMM). Findings – First, in consonance with earlier studies, the growth volatility reducing influence of remittances flows was established. Second, unlike the extant literature, the growth volatility reduction potential of remittances was found to be more pronounced in the presence of well-functioning institutions. Finally, the interaction of remittances with our six institutional quality measures showed that growth volatility reduced considerably with better institutions. Practical implications – In terms of policy, remittances recipient countries need to simultaneously pursue economic and governance reforms. Both of these will enhance the counter-cyclicality of remittances and possibly other capital flows. Originality/value – Substantial efforts have been devoted to investigating the impact of remittances on output growth volatility, while very little research attention has been devoted to analysing the impact of institutions on the remittances–output growth volatility nexus.
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23

Henry, EW. "A capacity growth input-output model." Energy Economics 16, no. 3 (July 1994): 193–203. http://dx.doi.org/10.1016/0140-9883(94)90033-7.

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24

Cette, Gilbert, Jacques Mairesse, and Yusuf Kocoglu. "ICT diffusion and potential output growth." Economics Letters 87, no. 2 (May 2005): 231–34. http://dx.doi.org/10.1016/j.econlet.2004.12.002.

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25

Eggers, Andrew, and Yannis M. Ioannides. "The role of output composition in the stabilization of US output growth." Journal of Macroeconomics 28, no. 3 (September 2006): 585–95. http://dx.doi.org/10.1016/j.jmacro.2004.09.007.

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26

Koppány, Krisztián. "Calculation of growth contributions using structural decomposition of input-output tables." Statisztikai Szemle 94, no. 8-9 (2016): 881–914. http://dx.doi.org/10.20311/stat2016.08-09.hu0881.

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27

Abiodun Okunlola, Funso, Godswill Osagie Osuma, and Alexander Ehimare Omankhanlen. "Has Nigerian agricultural output spurred economic growth: the financing gap model using stepwise regression." Investment Management and Financial Innovations 16, no. 3 (September 5, 2019): 157–66. http://dx.doi.org/10.21511/imfi.16(3).2019.15.

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This study examined if the Nigerian agricultural output has spurred economic growth and the best fit agricultural financing gap model for growing the economy. The study explored the dynamics of different technicality approach that stepwise regression has to offer. From the seven baskets of predictors – agricultural guaranteed finance to oil palm, cocoa, groundnuts, fishery, poultry, cattle, roots and tubers – the step fitted three predictors: roots and tubers, cocoa and poultry based on “a b” parameter with the highest “t-stats” and significant p-value and subsequently executed the model using stepwise regression analysis with the help of Statistical Package for Social Sciences (SPSS) version 23. The dataset covers a thirty-six year period from 1981 to 2017. The source of the data is from the Central Bank of Nigeria 2018 statistical bulletin. The findings showed that individually, root and tubers has the most contributory impact on economic growth with 81 percent. Jointly followed is cocoa at 87 percent and poultry at 90 percent. The study thus recommends a comparative cost advantage to financing agriculture with the most impactful contribution to economic growth based on the model.
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28

Ahmad, Munir, and Boris E. Bravo‐Ureta. "An Econometric Decomposition of Dairy Output Growth." American Journal of Agricultural Economics 77, no. 4 (November 1995): 914–21. http://dx.doi.org/10.2307/1243814.

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29

Müller-Krumholz, Karin. "Growth in output halted by special factors." Economic Bulletin 22, no. 5 (July 1985): 1–3. http://dx.doi.org/10.1007/bf02229151.

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30

Hu, Baiding, and Michael McAleer. "Input–output structure and growth in China." Mathematics and Computers in Simulation 64, no. 1 (January 2004): 193–202. http://dx.doi.org/10.1016/s0378-4754(03)00132-0.

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31

DORVAL, BILL, and GREGOR W. SMITH. "Interwar Inflation, Unexpected Inflation, and Output Growth." Journal of Money, Credit and Banking 47, no. 8 (November 18, 2015): 1599–615. http://dx.doi.org/10.1111/jmcb.12285.

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32

Alexander, W. Robert J. "The investment-output ratio in growth regressions." Applied Economics Letters 1, no. 5 (May 1994): 74–76. http://dx.doi.org/10.1080/135048594358177.

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33

Caruso, Massimo. "Infrequent Shocks, Output Persistence and Economic Growth." Manchester School 72, no. 2 (March 2004): 243–60. http://dx.doi.org/10.1111/j.1467-9957.2004.00391.x.

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34

Al-mulali, Usama, Hassan Gholipour Fereidouni, Miswan Abdul Hakim Bin Mohammed, and Janice Y. M. Lee. "Agriculture investment, output growth, and CO2emissions relationship." Energy Sources, Part B: Economics, Planning, and Policy 11, no. 7 (July 2, 2016): 665–71. http://dx.doi.org/10.1080/15567249.2013.805856.

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35

Franke, Reiner. "How Fat-Tailed is US Output Growth?" Metroeconomica 66, no. 2 (November 14, 2014): 213–42. http://dx.doi.org/10.1111/meca.12067.

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36

Li, Mengheng, and Ivan Mendieta‐Muñoz. "Are long‐run output growth rates falling?" Metroeconomica 71, no. 1 (November 28, 2019): 204–34. http://dx.doi.org/10.1111/meca.12275.

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37

Barrell, Ray, Aurélie Delannoy, and Dawn Holland. "Monetary Policy, Output Growth and Oil Prices." National Institute Economic Review 215 (January 2011): F37—F43. http://dx.doi.org/10.1177/0027950111401136.

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As the global recovery strengthens, attention has to focus once again on the price of oil. The sharp increase seen in the last quarter of 2010 has raised serious concerns for the economic outlook. Oil prices have risen significantly since the beginning of 2009, and the rate of increase suddenly accelerated in the last months of 2010. Between September and December 2010 alone, oil prices rose by about $20, to reach $95 per barrel. Figure 1 compares the expected path of the oil price used in our forecast in October 2010 to that in January 2011, based on information from forward markets as well as an evaluation of supply conditions.
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38

Laurenceson, James. "Interpreting fluctuations in output growth in China." China Economic Journal 6, no. 1 (February 2013): 12–20. http://dx.doi.org/10.1080/17538963.2013.831236.

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39

Chun, Hyunbae, and Jung-Wook Kim. "Declining output growth volatility: A sectoral decomposition." Economics Letters 106, no. 3 (March 2010): 151–53. http://dx.doi.org/10.1016/j.econlet.2009.10.007.

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40

Rondorf, Ulrike. "Are bank loans important for output growth?" Journal of International Financial Markets, Institutions and Money 22, no. 1 (February 2012): 103–19. http://dx.doi.org/10.1016/j.intfin.2011.08.001.

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41

Lee, Jong Ha, and Jinyoung Hwang. "Fiscal Shocks on Output Growth in China." Journal of Korean Public Policy 23, no. 2 (June 30, 2021): 71–94. http://dx.doi.org/10.37103/kapp.23.2.3.

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42

Castelli, Adriana, Mauro Laudicella, Andrew Street, and Padraic Ward. "Getting out what we put in: productivity of the English National Health Service." Health Economics, Policy and Law 6, no. 3 (October 28, 2010): 313–35. http://dx.doi.org/10.1017/s1744133110000307.

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AbstractMany countries are incorporating direct measures of non-market outputs in the national accounts. For any particular output to be included there has to be data about it for two adjacent periods. This is problematic because the classification of non-market outputs is often subject to wholesale revision. We outline the challenges associated with classification changes and propose a solution. To illustrate we construct output and input indices and estimate productivity growth of the English National Health Service (NHS) for the period 2003–2004 to 2007–2008. Our index of output growth incorporates all care provided to NHS patients and captures improvements in survival rates, waiting times and disease management. We find that more patients are being treated and the quality of the care they receive has been improving. We implement our approach to dealing with changes as to how health services are defined and show what effect this has on estimates of output growth. Our index of input growth captures all labour, intermediate and capital inputs into health service production and we improve on how capital has been measured in the past. Inputs have increased over time but there has also been a slowdown since 2005–2006, primarily the result of a levelling off in staff recruitment and less reliance on the use of agency staff. Productivity is assessed by comparing output growth with growth in inputs, the net effect being constant productivity growth between 2003–2004 and 2007–2008.
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43

Bahmani-Oskooee, Mohsen, and Maharouf Oyolola. "Export growth and output growth: An application of bounds testing approach." Journal of Economics and Finance 31, no. 1 (March 2007): 1–11. http://dx.doi.org/10.1007/bf02751507.

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44

Škare, Marinko, and Guglielmo Maria Caporale. "SHORT- AND LONG-RUN LINKAGES BETWEEN EMPLOYMENT GROWTH, INFLATION AND OUTPUT GROWTH: EVIDENCE FROM A LARGE PANEL." Technological and Economic Development of Economy 20, no. 3 (October 3, 2014): 554–75. http://dx.doi.org/10.3846/20294913.2014.966349.

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This study examines the short- and long-run linkages between employment growth, inflation and output growth applying panel cointegration and causality tests to data for 119 countries over the period 1970–2010. We find evidence of positive Granger causality running from output growth to employment growth in the short run. Employment growth Granger causes output growth with a negative sign in the long run. Inflation Granger causes employment and output growth positively in the short run and negatively in the long run.
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45

Tripathi, Amarnath. "Total Factor Productivity Growth in Indian Agriculture." Journal of Global Economy 6, no. 4 (October 31, 2010): 286–98. http://dx.doi.org/10.1956/jge.v6i4.67.

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n this study, time series data has been related to broad agricultural outputs which included farming, livestock, forestry, and fisheries and 3 conventional inputs: labour, land, and capital, to construct an index of total factor productivity (TFP) between 1969-70 to 2005-06. A TFP index is simply the ratio of an output index to an input index. Therefore, growth in TFP is the residual share of output growth after accounting for changes in land, labor, and other conventional agricultural inputs. Changes in TFP can be interpreted as a measure of the collective contribution of non-conventional inputs in agriculture, such as improvements in input quality, market access, economies of scale, and technology. What emerges from this exercise is a picture that raises concern about future growth in Indian agriculture, and the welfare of the people who depend on agriculture for their livelihood. Agricultural productivity in India appeared to stagnate in the late 1990s after enjoying two decades of rapid growth.
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46

Asim, Hafiz, and Muhammad Akbar. "Sectoral growth linkages of agricultural sector: Implications for food security in Pakistan." Agricultural Economics (Zemědělská ekonomika) 65, No. 6 (June 18, 2019): 278–88. http://dx.doi.org/10.17221/314/2017-agricecon.

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Does the growth in non-agricultural sectors spill over to the agricultural sector of an economy? There is limited evidence available on the issue for the developing world, especially for Pakistan which has undergone large structural changes since its independence. This study examined the impact of sectoral growth linkages on agricultural output of Pakistan for the period of 1960–2016. We have estimated an econometric model which incorporates inter-sectoral linkages of Pakistan economy using a Vector Error Correction Model (VECM). Our analysis revealed that the economy of Pakistan has shifted from an agricultural dominant economy to services-based economy during the past six decades. Results of VECM show that the industrial sector has a negative impact on the performance of agricultural output whereas services sector is influencing the output of agriculture sector positively in the long run. Short run results show that industrial sector is affecting the performance of agricultural output positively whereas services sector is influencing the output of agriculture sector negatively. Negative impacts of industry in the long run and services in the short run imply that agricultural sector should be given its due share in public investment and the role of middle man should be minimised at the time of sale of agricultural production in the markets.<br />
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47

Burke, Paul J., and Andrew Leigh. "Do Output Contractions Trigger Democratic Change?" American Economic Journal: Macroeconomics 2, no. 4 (October 1, 2010): 124–57. http://dx.doi.org/10.1257/mac.2.4.124.

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Does faster economic growth increase pressure for democratic change, or reduce it? Using data for 154 countries for the period 1963–2007, we examine the short-run relationship between economic growth and moves toward and away from greater democracy. To address the potential endogeneity of economic growth, we use variation in precipitation, temperatures, and commodity prices as instruments for a country's rate of economic growth. Our results indicate that more rapid economic growth reduces the short-run likelihood of institutional change toward democracy. Output contractions due to adverse weather shocks appear to have a particularly important impact on the timing of democratic change. (JEL D72, E23, E32, O11, O17, O47)
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48

Benabdallah, Abdallah, Habib Ayadi, and Mohamed Mabrouk. "Global adaptive output stabilization of uncertain nonlinear systems with polynomial output depending growth rate." International Journal of Adaptive Control and Signal Processing 28, no. 7-8 (May 29, 2013): 604–19. http://dx.doi.org/10.1002/acs.2412.

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49

Wang, Ping, and Chengpu Yu. "Output feedback control for nonlinear systems with uncertainties on output functions and growth rates." European Journal of Control 56 (November 2020): 107–17. http://dx.doi.org/10.1016/j.ejcon.2020.02.007.

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50

Osborne, T. J., Harry H. Postner, and Lesle Wesa. "Canadian Productivity Growth: An Alternative (Input-Output) Analysis." Canadian Public Policy / Analyse de Politiques 11, no. 1 (March 1985): 138. http://dx.doi.org/10.2307/3550399.

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