The competitiveness of the EU sugar industry

Galović, Tomislav; Bezić, Heri

doi:10.18045/zbefri.2019.1.173

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…The dynamic panel model in this paper is made from 123 observations from the period 2012 to 2019 and is based on the EU. Equation ( 2) describes a dynamic model with a single time-changeable lagged variable based on Galović and Bezić [100].…”

Section: Model Explanationmentioning

confidence: 99%

Panel Evidence from EU Countries on CO2 Emission Indicators during the Fourth Industrial Revolution

2022

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Research question and the most important issue in this paper relates to the determination of CO2 emission drivers in EU and the possibility of its reduction in the era of the fourth industrial revolution. EU strategies and economic policies are directed toward sustainable development, with special emphasis on reducing CO2 emissions towards carbon neutrality. The method used in this research is the Panel Generalized Method of Moments (GMM) two-step dynamic estimator on 27 EU countries in the period 2012–2019. The research resulted with the following findings: innovation activity, industrial structure and development, human capital, and institutional framework; these are all statistically associated with CO2 emission levels in a negative manner, thus, contribute significantly to the reduction in CO2 emissions. Following the empirical results, it may be concluded that reaching sustainable development goals requires the EU to enhance innovation activity, technological development, reshape its industrial structure, create high-quality human capital, and increase the quality of its public institutions.

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Section: Model Explanationmentioning

confidence: 99%

Panel Evidence from EU Countries on CO2 Emission Indicators during the Fourth Industrial Revolution

2022

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“…This observation is also supported by Nyanzunda (2012) who further opines that that technological advancements that come with FDI increase productivity, enhance access to markets with high returns and play a pivotal role in determining the competitiveness of the sugar industry. Sugar production is a capitalintensive business venture that needs investments to maintain a given level of competitiveness (Galović and Bezić, 2019). Therefore, due to the high capital requirements involved, investments are necessary to modernize equipment, improve infrastructure, and implement advanced technologies that can enhance productivity and efficiency in the industry.…”

Section: Overview Of Africa's Sugar Exportsmentioning

confidence: 99%

“…The development of the sugar industry on the global market has been shaped by key factors such as fluctuations in oil prices, geopolitical tensions, growth of alternative energy sources, significant economic growth of some Asian countries and emergence of Brazil as major sugar player on the international market (Pop et al, 2013;Galović and Bezić, 2019). The emergence of Brazil as a major sugar producing country and its trade-off between raw sugar production and biofuels has had ramifications on the global sugar supply and prices (FAO, 2005;Helia, 2022).…”

Section: Introductionmentioning

confidence: 99%

Trade and competitiveness of African sugar exports

Mabeta,

Smutka

2023

Front. Sustain. Food Syst.

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IntroductionSugar ranks among the most widely consumed, traded, sensitive, and protected commodities on the global and intra-regional stages. Recent developments in the sugar industry, inclusive of price distortions in the global sugar market, the liberalization of the European sugar sector, and the globalization of international agricultural trade, have amplified the need to comprehend the evolution of competitiveness in African sugar exports. Consequently, this study aims to provide a comprehensive analysis of the patterns, trends, and shifts in the inter- and intra-regional competitiveness of African sugar exports.MethodsThis paper employed the Normalized Revealed Comparative Advantage (NRCA) index and the Harris-Tzavalis panel-data unit-root test to assess the stability and structural changes in the competitive patterns of sugar exports for 34 African countries. The analysis is based on panel data spanning the period from 2001 to 2021.Results and discussionThe NRCA indices unveil certain dynamics and shifts in the competitiveness of country-specific sugar exports. Overall, the number of countries exhibiting competitive sugar exports has marginally increased, rising from 14 in 2001 to 17 in 2021. However, only eight African countries, predominantly from the southern region, have consistently maintained competitiveness in both the global and intra-regional markets throughout the entire analysis period. A significant portion of sugar exports from African countries has remained non-competitive on the global market, with a select few oscillating between periods of comparative advantage and disadvantage. Notably, the North African nations of Morocco, Algeria, and Egypt have transitioned from a position of comparative disadvantage to one of comparative advantage. At the intra-regional level, the presence of tariff and non-tariff trade barriers, including tariff escalations and trade embargoes, has rendered sugar exports non-competitive. These barriers augment the challenges faced by producers in other African nations seeking to exploit economies of scale.ConclusionThe sustained competitiveness of sugar exports from the Southern African region to other African regions underscores the significance and increasing impact of Foreign Direct Investment (FDI) in bolstering the competitiveness and development of the sugar industry.

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“…Sugar producers have to face both national and international competitions and inputs costs are key factors for their competitions (Galovic & Bezic, 2019). The Sugars Mills in Bangladesh are very old.…”

Section: Introductionmentioning

confidence: 99%

A Key to Uncover the Envelop of Backwardness of Sugar Industry in Bangladesh: An Application of Regression Analysis

Sabur¹,

Huda²,

Rahman³

et al. 2023

OJBM

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In this paper, an effort is taken to fish out the inherent backwardness of sugar industry in Bangladesh by applying the multiple regression analysis. The prime objective of the research is to describe the present situation of backwardness of production level and to find out a technique to increase the production level of sugar mills in Bangladesh. Data is chosen from secondary sources i.e. performance reports, annual reports of the selected sample sugar mills and reports of the BSFIC. The total sugar production (Y prod. ) is treated as dependent variable and LSM = X LSM (loss of sugar in molasses), RMC = X RMC (Repair and maintenance cost), MH = X MH (Machine hours), UEU = X UEU (Units of energy used) and RR = X RR (Recovery rate) are selected independent variables under the study period. It is implied from analysis that 1 percent decrease in loss of sugar in molasses would result in 7939.63 units upturn in the gross output of sugar if the other factors remain to keep unchanged in the mean position. The coefficient of MH, UEU and RR was found significant at 1 percent level by positive sign indicating these variables had positive impact on sugar production process. It also indicated that 1 percent increase in MH, UEU and RR would result in 3.49 units, 56.59 units and 1174.73 units total production of sugar respectively if other components holding unchanged position at the mean level for each of the variables including in the model. So that the management could increase the amount of total production 9137.63 units by taking the necessary action to increase 1 percent of recovery rate (RR) and at the same time to decrease 1 percent of loss of sugar in molasses (LSM) under the technical arrangement of production procedure of sugar.

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The competitiveness of the EU sugar industry

Cited by 6 publications

References 15 publications

Panel Evidence from EU Countries on CO2 Emission Indicators during the Fourth Industrial Revolution

Panel Evidence from EU Countries on CO2 Emission Indicators during the Fourth Industrial Revolution

Trade and competitiveness of African sugar exports

A Key to Uncover the Envelop of Backwardness of Sugar Industry in Bangladesh: An Application of Regression Analysis

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