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Journal articles on the topic 'Sectoral allocation'

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1

Stojanović, Boban, and Tanja Stanišić. "Sectoral State Aid in the European Union and the Western Balkan Countries." Economic Themes 53, no. 3 (2015): 331–43. http://dx.doi.org/10.1515/ethemes-2015-0019.

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Abstract State aid aimed to certain market participants, especially some of its categories, carries a risk of distortion of competition. Therefore, it is necessary to control allocation of state aid and its direction from the sectoral objectives towards more justified horizontal objectives of allocating. This paper examines the practice of assigning sectoral state aid in the European Union and in the selected Western Balkan countries by using the methods of comparative and correlation analysis. The aim is to identify deviations and point out to the preferred ways of state aid allocation.
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2

Alaux, N., T. Lackner, S. Nabernegg, et al. "Carbon budget for national building stock life-cycle emissions: a novel approach." Journal of Physics: Conference Series 2600, no. 15 (2023): 152004. http://dx.doi.org/10.1088/1742-6596/2600/15/152004.

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Abstract Following the Paris Agreement, many countries such as Switzerland or Denmark have derived carbon budgets for their national building stock to support local policies by creating benchmarks. The aim is to calculate a quota for carbon emissions that a country can spend on its building stock by 2050 to ensure that it stays within a 1.5°C trajectory. The underlying allocation principle almost exclusively follows this procedure: (i) allocating the global budget to the national level, (ii) further allocating the national budget to the sectoral level, and (iii) to the building stock level (or
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3

OWOTA, Perelayefa George (PhD)1* IHENYEN Joel Confidence (PhD)2 JOHNSON Kiyaramo Christopher3. "FOREIGN EXCHANGE PUZZLE: UNRAVELING THE IMPACT OF SECTORAL ALLOCATION ON NAIRA VOLATILITY." ISRG Journal of Economics, Business & Management (ISRGJEBM) III, no. III (2025): 73–79. https://doi.org/10.5281/zenodo.15532252.

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<em>This study looked at the Nigerian Naira's volatility from 2000 to 2023 and how sectoral allocation of foreign exchange affected it. The study used a least squares regression model to examine the link between the exchange rate and the foreign currency utilisation in the industrial and agricultural sectors using data on this topic. The results showed that the exchange rate was significantly affected negatively by the industrial sector's use of foreign exchange (r=0.055763, p=0.0100), and positively by the agricultural sector's use (r=0.497004, p=0.0481). Together, these industries explained
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İşcan, Talan B. "Allocative inefficiency and sectoral allocation of labor: Evidence from U.S. agriculture." Economic Modelling 43 (December 2014): 305–20. http://dx.doi.org/10.1016/j.econmod.2014.08.006.

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5

Yi, C. S., S. A. Choi, M. P. Shim, H. S. Kim, and B. S. Kim. "Water Allocation by Weighting Factors Considering Multiple Criteria." Water Supply 5, no. 3-4 (2005): 105–14. http://dx.doi.org/10.2166/ws.2005.0089.

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Typically, water has been allocated by some priority criteria like water rights in each country . However, water allocation by priority might have the problem in which the area of lowest priority can suffer from water shortage all the time. So, this study has tried to develop water allocation rules by weighting factor techniques. The weighting factors are estimated by sectoral and regional factors. The Analytic Hierarchy Process (AHP) is applied to estimate the sectoral factors and the regional factors can be divided by the regional-characteristic and regional-scale ends. The water allocation
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6

Yoon, Mi Yung, and Chungshik Moon. "Lessons from the Past and Sectoral Priorities in Bilateral Official Development Assistance." Asian Survey 62, no. 2 (2022): 330–60. http://dx.doi.org/10.1525/as.2022.1537303.

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As a donor, the Republic of Korea emphasizes five sectors as primary targets for official development assistance—education, health, governance, agriculture, and industry and energy—which contributed to its own rapid economic growth; that is, the country uses its own development experience as a development assistance model. This study examines the determinants of Korean ODA allocation for each of these sectors. We hypothesize that Korea is likely to allocate more targeted ODA to countries with less achievement in these sectors, and that this tendency is stronger for low-income countries. Using
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7

Gilbert, Niels, and Sebastiaan Pool. "Sectoral allocation and macroeconomic imbalances in EMU." Review of World Economics 156, no. 4 (2020): 945–84. http://dx.doi.org/10.1007/s10290-020-00388-w.

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8

AVOM, Désiré, Patrick-Nelson Daniel ESSIANE, and Francis MEYIMBENE. "Sectoral Effects of Monetary Policy in CEMAC: Evidence from Bank-level Data." Asian Journal of Economics, Business and Accounting 25, no. 4 (2025): 532–57. https://doi.org/10.9734/ajeba/2025/v25i41770.

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Understanding monetary policy tranmission is crucial for macroeconomic analysis, as policy actions can significantly affect interest rates, credit, output and employment by shaping aggregate demand. While standard approaches typically focus on aggregate outcomes, they may overlook important sector-level variations, especially in regions characterized by credit market imperfections and diverse economic structures. In this paper, we investigate the asymmetric impact of monetary policy on the sectoral allocation of bank credit within the Economic and Monetary Community of Central African States (
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9

KERSTENETZKY, CELIA LESSA. "Why we need an allocative (and resourceful) welfare state." Brazilian Journal of Political Economy 41, no. 4 (2021): 745–59. http://dx.doi.org/10.1590/0101-31572021-3356.

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ABSTRACT In this essay, I propose an agenda for the welfare state of the 21st century that emphasizes its role as a mechanism of resource allocation. Since social and environmental problems are getting out of hand, the time for mere compensation is over: we need a mechanism for directly influencing systems of production and patterns of consumption in the direction of addressing those problems. This partially translates into a decisive sectoral shift towards public social services led by the welfare state. Among the advantages of this move, in addition to more socially balanced outcomes, are qu
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10

Esteban, Joan, and Debraj Ray. "Inequality, Lobbying, and Resource Allocation." American Economic Review 96, no. 1 (2006): 257–79. http://dx.doi.org/10.1257/000282806776157533.

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This paper describes how wealth inequality may distort public resource allocation. A government seeks to allocate limited resources to productive sectors, but sectoral productivity is privately known by agents with vested interests in those sectors. They lobby the government for preferential treatment. The government—even if it honestly seeks to maximize economic efficiency—may be confounded by the possibility that both high wealth and true economic desirability create loud lobbies. Broadly speaking, both poorer economies and unequal economies display greater public misallocation. The paper wa
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Calabrese, Matteo, and Bas van Leeuwen. "Occupational Titles in Census Data: England and Wales." Journal of Interdisciplinary History 55, no. 2 (2024): 243–67. https://doi.org/10.1162/jinh_a_02039.

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Abstract Historical census data are a pivotal source for studying occupational dynamics, yet analyzing them is often challenging due to the large number of unique occupations and the need to standardize unspecific titles. A new methodology for attributing occupational titles to industrial sectors, demonstrated with the 1939 National Register for England and Wales (a dataset of approximately 42 million entries), produces findings that align with the trends across the agriculture and mining, secondary, and tertiary sectors identified in previous studies. At the subsector level, however, this pro
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12

Tase, Manjola. "Sectoral Allocation, Risk Efficiency and the Great Moderation." Finance and Economics Discussion Series 2013, no. 73 (2013): 1–38. http://dx.doi.org/10.17016/feds.2013.73.

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13

Converse, Nathan, and Luca Fornaro. "Large Capital Inflows, Sectoral Allocation, and Economic Performance." International Finance Discussion Papers 2015, no. 1132 (2015): 1–45. http://dx.doi.org/10.17016/ifdp.2015.1132.

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14

Benigno, Gianluca, Nathan Converse, and Luca Fornaro. "Large capital inflows, sectoral allocation, and economic performance." Journal of International Money and Finance 55 (July 2015): 60–87. http://dx.doi.org/10.1016/j.jimonfin.2015.02.015.

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15

Jaimovich, Esteban. "Sectoral differentiation, allocation of talent, and financial development." Journal of Development Economics 96, no. 1 (2011): 47–60. http://dx.doi.org/10.1016/j.jdeveco.2010.07.005.

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16

Mao, Rui, and Jianwei Xu. "Population aging, consumption budget allocation and sectoral growth." China Economic Review 30 (September 2014): 44–65. http://dx.doi.org/10.1016/j.chieco.2014.05.004.

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17

Haji Muhammad Chotib, Mardansyah, Helva Rahmi, Widya Pratiwi, and Hamirul. "Performance-Based Budgeting Reforms and Sectoral Outcomes: Evaluating the Link Between Financial Allocation and Public Service Delivery Quality in Jambi Province." Enigma in Economics 3, no. 1 (2025): 186–97. https://doi.org/10.61996/economy.v3i1.88.

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Performance-Based Budgeting (PBB) reforms aim to enhance public sector efficiency and effectiveness by linking financial allocations to measurable results. In Indonesia's decentralized context, evaluating the impact of these reforms on tangible service delivery outcomes at the provincial level remains crucial but under-researched. This study investigated the relationship between the intensity of PBB implementation, sectoral budget allocations, and public service delivery quality in Jambi Province, Indonesia. A quantitative longitudinal analysis was conducted using a panel dataset for the healt
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18

Meng, Chong, Siyang Zhou, and Wei Li. "An Optimization Model for Water Management under the Dual Constraints of Water Pollution and Water Scarcity in the Fenhe River Basin, North China." Sustainability 13, no. 19 (2021): 10835. http://dx.doi.org/10.3390/su131910835.

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Sustainable watershed development suffers from severe challenges, such as water pollution and water scarcity. Based on an analysis of water quality and water utilization in the Fenhe River Basin, an inexact two-stage stochastic programming model with downside-risk aversion was built for optimal water resource allocations for the four primary water use sectors (industry, domestic use, agriculture, and the environment) in the Fenhe River Basin. The model aims to maximize the comprehensive watershed benefits, including water benefits, water costs, water treatment costs, and downside risks. The co
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19

Zhang, Cheng-Yao, and Taikan Oki. "Optimal Multi-Sectoral Water Resources Allocation Based on Economic Evaluation Considering the Environmental Flow Requirements: A Case Study of Yellow River Basin." Water 13, no. 16 (2021): 2253. http://dx.doi.org/10.3390/w13162253.

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Competitions and disputes between various human water sectors and environmental flow of the river are exacerbated due to the rapid growth of the economy in Yellow River basin as well as the limited supply of available water resources in recent decades. It is necessary to implement rational and effective management and allocation to alleviate the pressure of water shortage. In order to promote economic development and maintain the ecological balance of the river, both the water allocation to the river environmental system and different human needs should be of concern when making the allocation
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20

Haider, Azad. "Can Sectoral Re-allocation Explain the Jobless Growth? Empirical Evidence from Pakistan." Pakistan Development Review 49, no. 4II (2010): 705–18. http://dx.doi.org/10.30541/v49i4iipp.705-718.

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The present paper discuss the nature of structural changes in employment to understand jobless growth in Pakistan for the period spanning over 1967-2008. In our work (elsewhere)1 analysing Pakistan at sectoral level to find underlying factors generating jobless growth, we found that Jobless growth in manufacturing sector was anticipated. Industrial sector has a significant importance in any economy across the glob. Recent changes in the use of capital—based foreign technology has resulted in substitution of labour with non-labour inputs such as capital. Employment shifts between industrial sec
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21

Rai, Priti, Anushree Ganguly, Goysha Vishnoi, and Rishank Narang. "An Analysis of Sectoral Allocation of Budgets in India." Vivekananda Journal of Research 14, no. 1 (2024): 36–46. http://dx.doi.org/10.61081/vjr/14v1i106.

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22

Tao Yang, Dennis, and Hao Zhou. "Rural‐urban disparity and sectoral labour allocation in China." Journal of Development Studies 35, no. 3 (1999): 105–33. http://dx.doi.org/10.1080/00220389908422575.

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23

Quba'a, R., M. El-Fadel, and M. R. Darwish. "Water Pricing for Multi-sectoral Allocation: A Case Study." International Journal of Water Resources Development 18, no. 4 (2002): 523–44. http://dx.doi.org/10.1080/0790062022000017383.

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24

Qomariyah, Nor, Suharno Suharno, and Dominicus Savio Priyarsono. "DAMPAK TRANSFER FISKAL DAN BELANJA MODAL PEMERINTAH DAERAH TERHADAP PEREKONOMIAN SEKTORAL, KETIMPANGAN DAN KEMISKINAN DI INDONESIA." JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN 5, no. 2 (2018): 45–67. http://dx.doi.org/10.29244/jekp.5.2.2016.45-67.

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National economic development goal is to improve the welfare of society and to create equitable distribution of income (Todaro and Smith, 2006). In other words, the success of economic development is indicated by the reduction of poverty and income inequality. Poverty is fundamental problem in the economic development of Indonesia and other developing countries in general. The main objectives of this study are to evaluate impacts of Infrastructural budgetary allocation on GDRP sectoral, inequality, and poverty in Indonesian provinces both in the areas where the contribution of the agricultural
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Qomariyah, Nor, Suharno Suharno, and Dominicus Savio Priyarsono. "DAMPAK TRANSFER FISKAL DAN BELANJA MODAL PEMERINTAH DAERAH TERHADAP PEREKONOMIAN SEKTORAL, KETIMPANGAN DAN KEMISKINAN DI INDONESIA." JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN 5, no. 2 (2018): 45–67. http://dx.doi.org/10.29244/jekp.5.2.45-67.

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National economic development goal is to improve the welfare of society and to create equitable distribution of income (Todaro and Smith, 2006). In other words, the success of economic development is indicated by the reduction of poverty and income inequality. Poverty is fundamental problem in the economic development of Indonesia and other developing countries in general. The main objectives of this study are to evaluate impacts of Infrastructural budgetary allocation on GDRP sectoral, inequality, and poverty in Indonesian provinces both in the areas where the contribution of the agricultural
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26

Zhao, Yunlong, Linwei Ma, Zheng Li, and Weidou Ni. "A Calculation and Decomposition Method Embedding Sectoral Energy Structure for Embodied Carbon: A Case Study of China’s 28 Sectors." Sustainability 14, no. 5 (2022): 2593. http://dx.doi.org/10.3390/su14052593.

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The measurement and allocation of carbon emission responsibilities is a fundamental issue in China’s low-carbon development. However, existing studies of embodied carbon do not sufficiently consider the sectoral energy structure. In this work, we developed a high-resolution calculation method for embodied carbon that embeds the sectoral energy structure into traditional input–output methods, thus expanding the driving factors of SDA decomposition. Based on this method, we calculated the quantity, final consumption structure, and energy structure of embodied carbon in China’s 28 sectors from 20
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27

Jensen, Bjarne S. "Walrasian General Equilibrium Allocations and Dynamics in Two-Sector Growth Models." German Economic Review 4, no. 1 (2003): 53–87. http://dx.doi.org/10.1111/1468-0475.00073.

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Abstract This paper analyzes and solves miniature Walrasian general equilibrium systems of momentary and moving equilibria. The Walrasian framework encompasses the fundamental neoclassical and classical two-sector growth models; the families of solutions of steady-state and persistent growth per capita in various competitive two-sector economies are parametrically characterized. Moreover, the endogenous behavior of relative prices and the sectoral allocation of primary factors are analyzed in detail. The technology parameters of the capital good industry are decisive for obtaining long-run per
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Adedeji, Ibrahim Kabir, Dr Ibrahim Muhammed, Prof Muhammed Habibu Sabari, and Prof Abiodun Popoola. "THE EFFECT OF BANK SECTORAL CREDIT AND EXCHANGE RATE ON FINANCIAL PERFORMANCE OF LISTED MANUFACTURING FIRMS IN NIGERIA." Gusau Journal of Accounting and Finance 5, no. 2 (2024): 283–97. https://doi.org/10.57233/gujaf.v5i2.17.

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The study examined the effect of deposit money bank’s credit facilities and exchange rate on the corporate financial performance of listed manufacturing firms in Nigeria. Data for the study were sourced from the annual reports and accounts of the sampled firms for the period of ten years spanning from 2013 to 2022, the collected data were analyzed using Panel regression analysis, result of the analysis showed that credit facilities had a significant and negative effect on the financial performance of the sampled manufacturing firms in Nigeria. It was also revealed that the effect of the exchan
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Olorunfemi, Samuel Oluwaseyi, Ayobami Ademola Akanmu, and Umar Obafemi Salisu. "GOVERNMENT INVESTMENT ON ROAD INFRASTRUCTURE IN KOGI STATE, NIGERIA: THE IMPACT ON URBAN MOBILITY." Journal of Social Sciences 5, no. 3 (2022): 88–104. http://dx.doi.org/10.52326/jss.utm.2022.5(3).07.

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Road infrastructure has been identified as a major factor for sustaining urban mobility and requires constant investment in the form of budgetary allocation for construction, rehabilitation, and maintenance. To this end, the study assesses government investment in road infrastructure in Kogi State, Nigeria and how it impacts urban mobility. The study adopted a mixed-method research design and deployed a questionnaire survey to elicit information from randomly selected 1,215 household heads. Also, data on the state’s budgetary allocation and road infrastructure expenditure from 2008–2018 were s
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30

Utele, Joshua Imawaiya, Ikechukwu Samuel Nnamdi, and Ebere Patricia Ifionu. "MICROCREDITS AND ECONOMIC GROWTH INNIGERIA: THE STEPWISE REGRESSION ANALYSIS APPROACH." GPH-International Journal of Business Management 07, no. 10 (2024): 01–17. https://doi.org/10.5281/zenodo.14038970.

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The present study examined the relationship between microcredit allocation and economic growth using the stepwise regression technique. The stepwise regression is used to rank the effects of sectoral microcredits and identify which variables contribute most significantly to explaining variations in gross domestic product (GDP).The study used time-series data, sourced from Central Bank of Nigeria reports from 1992 to 2022. Five sectors were considered for this study namely microcredits allocations to Agriculture/Forestry, Manufacturing/Food processing, Mining/Quarry, Real Estate/Construction, a
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31

Baffes, John, and Anwar Shah. "Productivity of Public Spending, Sectoral Allocation Choices, and Economic Growth." Economic Development and Cultural Change 46, no. 2 (1998): 291–303. http://dx.doi.org/10.1086/452339.

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32

Povoledo, Laura. "Modelling the sectoral allocation of labour in open economy models." Canadian Journal of Economics/Revue canadienne d'économique 50, no. 3 (2017): 685–710. http://dx.doi.org/10.1111/caje.12275.

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33

Jinfeng, Wang, Wu Jilei, Wang Zhiyong, Liu Changming, and Yu Jingjie. "An optimized spatial-temporal-sectoral allocation model for water resources." GeoJournal 59, no. 3 (2004): 227–36. http://dx.doi.org/10.1023/b:gejo.0000026692.38257.db.

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34

Liu, Xiaohong, Qingchun Meng, Ruiqi Sun, and Xiangwei Zhang. "A Novel Centralized Allocation Data Envelopment Analysis Model for Carbon Emission Allocation Under a Heterogeneous Abatement Cost: Application Within the Chinese Industrial Sector." Mathematics 12, no. 21 (2024): 3409. http://dx.doi.org/10.3390/math12213409.

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This paper presents a mathematical approach to analyzing carbon abatement costs and the allocation of carbon emission allowances in China’s industrial sectors. We utilize input–output data from 30 Chinese provinces between 2009 and 2018 to estimate carbon abatement costs by applying the slack-based measure (SBM) efficiency model and its dual form. The SBM model captures inefficiencies and offers a rigorous framework for measuring abatement costs. Using these costs, we develop a centralized allocation data envelopment analysis (DEA) model, which maximizes sectoral benefits through optimal reall
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35

Riwukore, Jefirstson Richset. "Sosialisasi dan Edukasi Alokasi Dana Desa kepada Aparatur Desa di Kabupaten Timor Tengah Selatan." Jurnal Pemberdayaan Ekonomi 2, no. 1 (2023): 39–47. http://dx.doi.org/10.35912/jpe.v2i1.1488.

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Purpose: The purpose of implementing community service activities is to provide education to village officials so that they have an understanding of the complexity of village fund allocations and the ability to evaluate and analyze problems in village fund allocation management. Methodology: The implementation of this community service uses the focus group discussion (FGD) method. The partners involved were all village heads in the District of Timor Tengah Selatan, and the Dinas Pemberdayaan Masyarakat of Timor Tengah Selatan District. Participants were determined by non-probability by purposi
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36

Faria, Pedro Cabral Santiago, and Nicole Labutong. "A description of four science-based corporate GHG target-setting methods." Sustainability Accounting, Management and Policy Journal 11, no. 3 (2019): 591–612. http://dx.doi.org/10.1108/sampj-03-2017-0031.

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Purpose Amidst a growing interest in greenhouse gas (GHG) science-based target setting by businesses, it is becoming increasingly urgent to understand how these are set in theory and in practice. Design/methodology/approach Using a model framework for science-based methods, the authors compare four different science-based target-setting methods: sectoral decarbonization approach, linear emission reduction to target year, GHG emissions per unit of value added and corporate finance approach to climate stabilizing targets. Input and output variables, GHG scopes, allocation principles and mathemat
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37

Ji, Xi, Yifang Liu, and Jingyu Yin. "Trade and Labor-Allocation: Evidence from Sectoral Embodied Labor Transfer between China and Africa." Social Sciences 13, no. 3 (2024): 144. http://dx.doi.org/10.3390/socsci13030144.

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Under the influence of international trade, labor flow not only exists in the waves of international labor migration but is also embodied in international products and services. This paper focused on members of the China–Africa Cooperation Forum (FOCAC). We computed and analyzed the sectoral embodied labor transfer between China and Africa from 2000 to 2015 based on the Multiregional Input-Output Method. Our results are as follows: (1) Both China and Africa play roles as labor suppliers in the global supply chain. By ameliorating the trade structure, both China and Africa can better utilize th
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38

Odunayo, Henry, and Olugbenga Fagbemide. "Innovation and Organizational Performance in Nigerian Startups: A Study of Selected Entrepreneurial Ventures." NIU Journal of Humanities 8, no. 4 (2023): 101–11. http://dx.doi.org/10.58709/niujhu.v8i4.1734.

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The Nigerian startup ecosystem has emerged as a dynamic player in the global entrepreneurial landscape. However, the path to success is fraught with unique challenges, and understanding the drivers of innovation and organizational performance is paramount. This study aims to investigate these critical factors within the Nigerian context. The central objectives of this research are to explore the relationship between access to technology, human capital, and financial resources and innovation; assess the efficacy of context-specific performance metrics in representing organizational performance;
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Krishna, Dr K. Srinivasa, and DOODI REEDI JAHNAVI. "A Study on Risk and Return Analysis of Mutual Funds (Equity Mid-Cap Companies)." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04781.

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This study analyses the risk-return profile of the ICICI Prudential Midcap Direct Plan – Growth over a five-year period (June 2020 to May 2025), focusing on sectoral and stock-level performance. Using monthly return data, key metrics such as average return, standard deviation, Sharpe ratio, and volatility were computed for major sectors including Iron &amp; Steel, Real Estate, Cement, Chemicals, Auto Components, and Agrochemicals. A variance-covariance matrix was used to estimate portfolio risk, and fund performance was benchmarked against the Nifty Midcap 150 index. The findings reveal signif
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40

Gopinath, Gita, Şebnem Kalemli-Özcan, Loukas Karabarbounis, and Carolina Villegas-Sanchez. "Capital Allocation and Productivity in South Europe*." Quarterly Journal of Economics 132, no. 4 (2017): 1915–67. http://dx.doi.org/10.1093/qje/qjx024.

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Abstract Starting in the early 1990s, countries in southern Europe experienced low productivity growth alongside declining real interest rates. We use data for manufacturing firms in Spain between 1999 and 2012 to document a significant increase in the dispersion of the return to capital across firms, a stable dispersion of the return to labor, and a significant increase in productivity losses from capital misallocation over time. We develop a model with size-dependent financial frictions that is consistent with important aspects of firms’ behavior in production and balance sheet data. We illu
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Gvozdev, E. V. "Rational allocation of the resource designated for comprehensive safety assurance at an enterprise: the problem statement." Pozharovzryvobezopasnost/Fire and Explosion Safety 30, no. 2 (2021): 35–48. http://dx.doi.org/10.22227/pvb.2021.30.02.35-48.

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Introduction. Corporate resources translate into a strong in-house capacity that ensures sustainable production processes. We present a novel integrated area of activity, whose purpose is to solve problems by identifying the factors of influence, coming from employees of versatile departments (structural units) and focused on industryspecific (sectoral) functions that are part of the comprehensive safety system of an enterprise.Methods of research. The author employed the established methods of comprehensive safety assurance to analyze a number of approaches. He also explored the features of t
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Ermoliev, Yuri, Anatolij G. Zagorodny, Vjacheslav L. Bogdanov, et al. "Linking Distributed Optimization Models for Food, Water, and Energy Security Nexus Management." Sustainability 14, no. 3 (2022): 1255. http://dx.doi.org/10.3390/su14031255.

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Traditional integrated modeling (IM) is based on developing and aggregating all relevant (sub)models and data into a single integrated linear programming (LP) model. Unfortunately, this approach is not applicable for IM under asymmetric information (ASI), i.e., when “private” information regarding sectoral/regional models is not available, or it cannot be shared by modeling teams (sectoral agencies). The lack of common information about LP submodels makes LP methods inapplicable for integrated LP modeling. The aim of this paper is to develop a new approach to link and optimize distributed sect
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43

Mwangi, Mary Mukuhi, Davis Bundi Ntwiga, Moses Mwangi Manene, and Pokhariyal Ganesh Prasad. "Application of the Hamiltonian System in Deriving Solution to Dynamic System of the Sectoral Labour Market." International Journal of Advanced Research 6, no. 1 (2023): 102–13. http://dx.doi.org/10.37284/ijar.6.1.1391.

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The paper describes the application of the Hamiltonian System in deriving a solution to the dynamic system of the sectoral labour market. The aim is to determine the best control that would allow maximum sector participation in a three-sector labour market. The three sectors of the labour market are the goods-producing sector, the service-providing sector, and the agriculture sector. The sectoral labour market is formulated as an optimal control problem whose solution is sought using the Hamiltonian system by following the necessary conditions for optimality in the Hamiltonian System of Pontry
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44

Iliukhina, V. A. "SOME ALLOCATION ISSUES OF THE PRINCIPLES OF UNCODIFIED BRANCHES OF LAW." Vestnik of Immanuel Kant Baltic Federal University Series Humanities and social science, no. 4 (2022): 5–15. http://dx.doi.org/10.5922/sikbfu-2022-4-1.

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The principles of law are considered within the positivist legal understanding as the normatively fixed fundamental concept of each industry. The general legal principles enshrined in the Constitution of the Russian Federation are thought to directly apply both in codified and uncodified industries, regardless of whether they are duplicated in industry legislation or not. The article highlights a number of problems related to the allocation of the principles of uncodified branches of law. Firstly, it is rather unclear whether a particular legal entity is a specific branch of law or not. This i
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45

Obiora, Charles Arinze, Bonn Obiekwe Godwin Nwanolue, and Christian Chidi Okeke. "Sectoral Allocation of Foreign Aids and Poverty Alleviation in Nigeria, 2010-2020." International Journal of Culture and History 9, no. 1 (2021): 25. http://dx.doi.org/10.5296/ijch.v9i1.19389.

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The study was necessitated by the high rate of poverty in Nigeria regardless of the foreign aids inflow into the country from 2010 to 2020. Whereas the country received foreign aids which could have resulted in poverty alleviation within the period of this study, she antithetically witnessed increase in poverty rate to the extent that the World Bank in May 2018 reported that Nigeria had emerged poverty capital of the world. According to the National Bureau of Statistics’ report, over 82.9 million persons, representing about 40.1 percent of the total population, were considered poor by national
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46

Tripathy, Priyam P., Pradip P. Kalbar, and Anish Modi. "An analysis of sub-sectoral level carbon budget allocation for India's iron and steel sector." Journal of Cleaner Production 421 (October 2023): 138462. http://dx.doi.org/10.1016/j.jclepro.2023.138462.

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47

Shrestha, Suprit, Milan Maharjan, and Subin K.C. "Contribution of Sectoral Credit on the Economic Growth of Nepal." SS Multidisciplinary Research Journal 1, no. 1 (2024): 87–108. http://dx.doi.org/10.3126/ssmrj.v1i1.71265.

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This research paper investigates the contribution of sectoral credit to the economic growth of Nepal. Utilizing a dataset covering quarterly time series data from Fiscal Year 2010/11 quarter 1 to Fiscal Year 2022/23 quarter 2, the study employs an empirical approach to examine the relationship between sectoral credit allocation and gross domestic product (GDP). The analysis focuses on three key sectors: agriculture, service, and industry. The results indicate significant findings in both the long run and short run. In the long run, agricultural sector credit exhibits a negative impact on GDP,
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Qureshi, Sarfraz K. "Intra-sectoral and Intersectoral Parity Issues in Pricing of Agricultural Crops: A Preliminary Analysis." Pakistan Development Review 26, no. 4 (1987): 401–17. http://dx.doi.org/10.30541/v26i4pp.401-417.

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Intersectoral terms of trade play a cruc1al role in determining the sectoral distribution of income and resource allocation in the developing countries. The significance of intra-sectoral terms of trade for the allocation of resources within the agricultural sector is also widely accepted by research scholars and policy-makers. In the context of planned development, the government specifies production targets for the agricultural sector and for different crops. The intervention of government in the field of price determination has important implications for the achievement of planned targets.
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Sidiropoulos, Christos, and George Tsilingiridis. "Improved sectoral allocation of NMVOC emissions from solvent use in Greece." Science of The Total Environment 407, no. 13 (2009): 4075–83. http://dx.doi.org/10.1016/j.scitotenv.2009.03.003.

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Wimmer, Florian, Eric Audsley, Marcus Malsy, et al. "Modelling the effects of cross-sectoral water allocation schemes in Europe." Climatic Change 128, no. 3-4 (2014): 229–44. http://dx.doi.org/10.1007/s10584-014-1161-9.

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