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Journal articles on the topic 'Potential productivity'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

BISHNOI, OP. "Solar radiation and productivity in India- I: Potential productivity." MAUSAM 37, no. 4 (2022): 501–6. http://dx.doi.org/10.54302/mausam.v37i4.2577.

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The efficiency with which the plants store solar energy was determined and expressed as the product of seven factors describing the dependence of dry matter production on latitude and season, cloudiness and aerosol contents of the atmosphere, on the spectral composition of the radiation, on the quantum. need of the photochemical process, on leaf area index and leaf arrangement, on the concentration of carbon dioxide In the canopy and diffusion resistance of leaves, and on the fraction c f the assimilates used in respiration. The potential and net dry matter productivity of different crop

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2

Tetiana, Kvasha. "Potential GDP and its factors assessment." Technology audit and production reserves 6, no. 4(62) (2021): 40–45. https://doi.org/10.15587/2706-5448.2021.245593.

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The object of the study is the reserves of economic growth in the country on the example of Ukraine. One of the problems of such studies is the calculation of potential GDP, which is not observed, but is calculated on the basis of various methods. Also problematic is the choice of method/methods of calculating potential GDP and potential values of its factors. Any estimate of the potential value of a variable is based on one or more statistical relationships and therefore contains an element of uncertainty. In order to reduce uncertainty, 2 methods were used to determine the potential values o

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3

Brunhammer, Alan. "Productivity Potential in Automotive Assembly." ATZproduktion worldwide 5, no. 1 (2012): 4–6. http://dx.doi.org/10.1365/s38312-012-0036-1.

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4

Kut'kov, G. M. "Potential productivity of the tractor." Traktory i sel hozmashiny 84, no. 5 (2017): 48–52. http://dx.doi.org/10.17816/0321-4443-66302.

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The agricultural tractor is designed to replace the live traction force with the main purpose - to increase the productivity of the farmer. But among the indicators of the tractor, characterizing its technical and technological level, there is no generalized performance indicator, reflecting the main property by which it would be possible to make a comparative evaluation of tractors of different models. The need to introduce an indicator of the productivity of the tractor has increased recently due to the significantly increased energy saturation. This increase in energy saturation is chaotic

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5

Almström, Peter, and Anders Kinnander. "The productivity potential assessment method." International Journal of Productivity and Performance Management 60, no. 7 (2011): 758–70. http://dx.doi.org/10.1108/17410401111167825.

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6

Rogowski, A. S. "Evaluation of potential topsoil productivity." Environmental Geochemistry and Health 7, no. 3 (1985): 87–97. http://dx.doi.org/10.1007/bf01783555.

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7

Silver, Mick, and Alan Bennett. "Potential productivity: Concepts and application." Omega 14, no. 6 (1986): 443–52. http://dx.doi.org/10.1016/0305-0483(86)90055-1.

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8

Anyaeche, C. O., and Ayodeji E. Oluleye. "System Potential-Based Productivity Evaluation Model." Advanced Materials Research 62-64 (February 2009): 571–76. http://dx.doi.org/10.4028/www.scientific.net/amr.62-64.571.

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Productivity evaluation if based on historical record, and not the system’s potential, does not fully account for the maximum exploitation of the system. This work uses an optimization technique, the Linear Program, to establish the system’s potential; and then developed the Potential-based Productivity Evaluation model. Applying this model in an example problem gave productivity as 0.98, price recovery 1.07 and profitability 1.06; while the historical approach gave 2.81, 0.34 and 0.97 respectively. A comparison show 187% over-reporting, 65% under-reporting and 8% lag respectively. These would

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9

Yi, Chuixiang, Gerald Rustic, Xiyan Xu, et al. "Climate extremes and grassland potential productivity." Environmental Research Letters 7, no. 3 (2012): 035703. http://dx.doi.org/10.1088/1748-9326/7/3/035703.

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10

Abdel-Hamid, Tarek K., and Stuart Madnick. "Software productivity: Potential, actual, and perceived." System Dynamics Review 5, no. 2 (1989): 93–113. http://dx.doi.org/10.1002/sdr.4260050202.

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11

Kazdokhov, Albert, and Timur Tarchokov. "Productivity potential of introduced Holstein heifers." Izvestiya of Kabardino-Balkarian State Agrarian University named after V.M. Kokov, no. 1(47) (2025): 24–30. https://doi.org/10.55196/2411-3492-2025-1-47-24-30.

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Identification of the productivity potential of Holstein cattle and the nature of implementation depending on paratypic factors and linear affiliation is relevant and is of scientific and practical interest. A comparative study of the productivity potential of introduced Holstein heifers, which was carried out in Agro-Soyuz LLC, Chegem District, Kabardino-Balkarian Republic, showed that differences due to linear affiliation were established between the groups of experimental animals. Among the mothers of heifers, higher milk yield values for 305 days of lactation were found in animals of the V

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12

He, Di, Jing Wang, Tong Dai, et al. "Impact of climate change on maize potential productivity and the potential productivity gap in southwest China." Journal of Meteorological Research 28, no. 6 (2014): 1155–67. http://dx.doi.org/10.1007/s13351-014-4047-x.

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13

Ding, Shuaiwei, Ranran Lu, Yi Xi, Shuoliang Wang, and Yuping Wu. "Well placement optimization using direct mapping of productivity potential and threshold value of productivity potential management strategy." Computers & Chemical Engineering 121 (February 2019): 327–37. http://dx.doi.org/10.1016/j.compchemeng.2018.11.013.

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14

Cumming, John G., M. Raymond V. Finlay, Fabrizio Giordanetto, et al. "Potential strategies for increasing drug-discovery productivity." Future Medicinal Chemistry 6, no. 5 (2014): 515–27. http://dx.doi.org/10.4155/fmc.14.7.

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15

Munson-Scullin, Wendy, and Michael Scullin. "Potential Productivity of Midwestern Native American Gardens." Plains Anthropologist 50, no. 193 (2005): 9–21. http://dx.doi.org/10.1179/pan.2005.004.

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16

TANAKA, KENTA, SHUNSUKE MANAGI, KATSUNOBU KONDO, KIYOTAKA MASUDA, and YASUTAKA YAMAMOTO. "POTENTIAL CLIMATE EFFECT ON JAPANESE RICE PRODUCTIVITY." Climate Change Economics 02, no. 03 (2011): 237–55. http://dx.doi.org/10.1142/s2010007811000280.

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Adaptation to climate change has become an important policy question in recent years. Agriculture is an economic activity that is most sensitive to climate change. We evaluate the dynamic effects of productivity change and individual efforts to adapt to climate change. Adaptation actions in agriculture are evaluated to determine how the climate affects production efficiency. In this paper, we use the bi-directional distance function method to measure Japanese rice production loss due to climate. We find that (1) accumulated precipitation has the greatest effect on rice production efficiency an

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17

CHERKASOVA, E. "SPRING WHEAT AND SPRING RAPESEED PRODUCTIVITY POTENTIAL." SABRAO Journal of Breeding and Genetics 56, no. 5 (2024): 1938–45. http://dx.doi.org/10.54910/sabrao2024.56.5.17.

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18

Surati, Surati, Suad Fikriawan, and Nafi'ah Nafi'ah. "Management and Potential for Developing Wakaf Productivity." Indonesian Journal of Islamic Economics and Finance 2, no. 2 (2022): 82–94. http://dx.doi.org/10.37680/ijief.v2i2.1180.

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The purpose of this research is to know about how to manage and develop land waqf in Cokromenggalan Ponorogo Village, and about the potential for developing waqf productivity in Cokromenggalan Ponorogo Village. The research method used in this study is a qualitative method using an inductive approach, the data collection techniques used are observation, interview and documentations. The results of this study are the management and development of waqf in Cokromenggalan Village managed by nadzir with the assistance of the local mosque administrator (ta'mir). In the distribution of waqf assets, t

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19

Li, Tuan Sheng, Hao Hao Wu, and Hong Zhi Zhao. "Grain Potential Productivity of Cultivated Land in Baoji, Shaanxi Province, China." Applied Mechanics and Materials 295-298 (February 2013): 2631–34. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.2631.

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The natural quality index and the utilization quality index in agricultural land classification are essentially two kinds of grain potential productivity, which, we name natural potential productivity and utilization potential productivity of cultivated land respectively. Based on this, we calculated the natural potential productivity and utilization potential productivity of cultivated land in Baoji. Both of them are 980.336×104t and 587.299×104t respectively. The natural potential productivity per unit area is 26.905t/hm2 and the utilization potential productivity per unit area is 16.118t/hm

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20

Nieri, Erick Martins, Rodolfo Soares de Almeida, Renato Luiz Grisi Macedo, Wagner Massote Magalhães, Nelson Venturin, and Emilio Manabu Higashikawa. "POTENTIAL AGROFORESTRY SYSTEMS FOR SEMIARID REGIONS." FLORESTA 51, no. 2 (2021): 363. http://dx.doi.org/10.5380/rf.v51i2.68962.

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The objective of this work was to evaluate the potential of agroforestry systems in the semiarid, and to evaluate the productivity of eucalyptus in three planting spacing, in single cultivation in agroforestry systems. The comparison of the systems was in a randomized block design with four systems (monoculture; peanut systems; castor bean; cassava) and three eucalyptus spacing (10 m x 2 m, 10 m x 3 m and 10 m x 4 m). Monocultures and other characteristics were compared by randomized block design. Peanut productivity was evaluated at three and a half months, castor productivity at five and eig

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21

Bai, Wei, Zhan Xiang Sun, Jia Ming Zheng, Li Shuang Wang, and Zhi Yan Hou. "Studies on Climate Potential Productivity of Dryland Farming in Fuxin of Liaoning Province." Advanced Materials Research 726-731 (August 2013): 4900–4905. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4900.

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Based on the meteorological data for the period of 1951-2009 in Fuxin,the article estimates the photosynthesis, photo-temperature and climate potential productivity of dryland farming in Fuxin of Liaoning province, and analyzes the potential productivity interannual change in crop growth period (April-September). The result shows that the long-time average value of the photosynthesis, photo-temperature and climate potential productivity are 31.89×104kg/hm2, 26.80×104kg/hm2and 18.29×104kg/hm2in Fuxin. The interannual change trend of potential productivity is that the photosynthesis, photo-tempe

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22

Tasheva, Zarina, and Vitali Karpovich. "SUPERCHARGE HUMAN POTENTIAL THROUGH AI TO INCREASE PRODUCTIVITY THE WORKFORCE IN THE COMPANIES." American Journal of Applied Science and Technology 4, no. 2 (2024): 24–29. http://dx.doi.org/10.37547/ajast/volume04issue02-05.

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This article examines how artificial intelligence (AI) can be leveraged to augment and enhance human capabilities in the workforce to drastically improve productivity. A review of literature demonstrates how AI is already being used to automate routine tasks, freeing up employees' time for more strategic initiatives that create greater business value. Advanced analytics further empower workers to gain deeper insights and make more informed decisions. Meanwhile, AI assistants coach employees to reach higher levels of performance. Overall, the synthesis of human strengths with AI leads to higher

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23

E.Yu., Ashurov, and Belyaeva A.S. "ASSESSMENT OF THE GENETIC POTENTIAL OF POPULATIONS." Russian Electronic Scientific Journal 49, no. 3 (2023): 48–55. https://doi.org/10.31563/2308-9644-2023-49-3-48-55.

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The article characterizes and analyzes the relevance of neural networks in identifying the genetic potential of populations. A table of improvement of breeding characteristics has been compiled. Revealed: 1. calculation using neural networks EBV (predicted deviation of productivity for each trait in the next generation from the average for the herd). 2. Assessment of the possibility of predicting the genetic potential/productivity of animals by combinations of loci obtained as a result of genotyping. 3. Evaluation of the effectiveness of breeding using productivity markers.

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24

Tzeremes, Nickolaos G. "Hotel productivity: A robust Luenberger productivity indicator." Tourism Economics 25, no. 6 (2019): 987–96. http://dx.doi.org/10.1177/1354816618821271.

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The article presents a robust version of the Luenberger productivity indicator. The proposed productivity indicator is less sensitive to potential outliers and extreme values. We apply the robust productivity index on a sample of 176 hotels operating in the Canary Islands over the period from 2004 to 2013. The results indicate that hotels have increased their productivity levels over the examined time period. In relation to their productivity levels, it is also evident that hotels have demonstrated strong resilience during the global financial crisis. Finally, it is evident that hotels have be

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25

Becker, Renan, Taiane Nunes de Queiroz, Fernando Santos, et al. "Productivity potential and coconut waste quality for biorefining." Agronomy Science and Biotechnology 2, no. 1 (2016): 11. http://dx.doi.org/10.33158/asb.2016v2i1p11.

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The use of biomass as an energy source has increased as far as it aims at providing sustainable energy alternatives and considerable reduction in agro-industrial and urban solid waste. Techniques employed for different types of biomass by biorefineries intend not only to add value to a bioproduct, but also to reduce environmental impact caused by industrial and agricultural residues. The coconut fruit shell residue, largely consumed in coastal regions, rich in fiber, lignin, cellulose and hemicelluloses, may be transformed through chemical, biochemical and thermochemical processes, into severa

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26

Florczak, Waldemar, and Władysław Welfe. "Estimation of Potential GNP and Total Factor Productivity." Gospodarka Narodowa 164, no. 11-12 (2000): 40–55. http://dx.doi.org/10.33119/gn/113989.

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27

Thomas, Axel. "Climatic change and potential agricultural productivity in China." Erdkunde 2, no. 60 (2006): 157–72. http://dx.doi.org/10.3112/erdkunde.2006.02.07.

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28

Linn, Shai, and Sam Sheps. "Disability and the Years of Potential Productivity Lost." Epidemiology 4, no. 5 (1993): 449–54. http://dx.doi.org/10.1097/00001648-199309000-00011.

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29

Koryakin, V. V., A. V. Abrosimova, M. A. Kabanova, N. M. Platonova, L. I. Moshechkova, and O. A. Uvarova. "INFLUENCE OF LAX EAR ON POTENTIAL EAR PRODUCTIVITY." Tambov University Reports. Series: Natural and Technical Sciences 21, no. 2 (2016): 611–14. http://dx.doi.org/10.20310/1810-0198-2016-21-2-611-614.

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30

Shameer, Sanu, Kambiz Baghalian, C. Y. Maurice Cheung, R. George Ratcliffe, and Lee J. Sweetlove. "Computational analysis of the productivity potential of CAM." Nature Plants 4, no. 3 (2018): 165–71. http://dx.doi.org/10.1038/s41477-018-0112-2.

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31

Park, Inhye, Yongsung Kim, and Saro Lee. "Groundwater Productivity Potential Mapping Using Evidential Belief Function." Groundwater 52, S1 (2014): 201–7. http://dx.doi.org/10.1111/gwat.12197.

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32

Ottaviano, Gianmarco I. P., and Dino Pinelli. "Market potential and productivity: Evidence from Finnish regions." Regional Science and Urban Economics 36, no. 5 (2006): 636–57. http://dx.doi.org/10.1016/j.regsciurbeco.2006.06.005.

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33

Shajahan, S. "Enhancing Knowledge-Workers’ Productivity through Potential Performance Programming." Paradigm 4, no. 2 (2000): 12–20. http://dx.doi.org/10.1177/0971890720000203.

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34

Hunkár, Márta. "Moisture supply and microclimate––interactions with productivity potential." Physics and Chemistry of the Earth, Parts A/B/C 27, no. 23-24 (2002): 1113–17. http://dx.doi.org/10.1016/s1474-7065(02)00148-1.

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35

Collins, Robert H. "Salesforce support systems: Potential applications to increase productivity." Journal of the Academy of Marketing Science 15, no. 2 (1987): 49–54. http://dx.doi.org/10.1007/bf02723402.

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36

Jefferson, Gary H. "Potential sources of productivity growth within Chinese industry." World Development 17, no. 1 (1989): 45–57. http://dx.doi.org/10.1016/0305-750x(89)90221-0.

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37

Bryant, Judith A., and Jama L. Bradley. "Enhancing Academic Productivity, Student Development and Employment Potential." Recreational Sports Journal 18, no. 1 (1993): 42–44. http://dx.doi.org/10.1123/nirsa.18.1.42.

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38

Holl, A. "Market potential and firm-level productivity in Spain." Journal of Economic Geography 12, no. 6 (2011): 1191–215. http://dx.doi.org/10.1093/jeg/lbr030.

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39

Doucha, J., and K. Lívanský. "Outdoor open thin-layer microalgal photobioreactor: potential productivity." Journal of Applied Phycology 21, no. 1 (2008): 111–17. http://dx.doi.org/10.1007/s10811-008-9336-2.

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40

Di Bari, Vito, Pasquale Campi, Rosa Colucci, and Marcello Mastrorilli. "Potential productivity of fibre hemp in southern Europe." Euphytica 140, no. 1-2 (2004): 25–32. http://dx.doi.org/10.1007/s10681-004-4751-1.

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41

Piliavskii, Volodymyr. "RESULTS OF USING THE LABOR POTENTIAL OF AGRICULTURAL ENTERPRISES." Ukrainian Journal of Applied Economics 4, no. 3 (2019): 161–71. http://dx.doi.org/10.36887/2415-8453-2019-3-18.

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A labor potential is the driving force for the economic development of the enterprise. Therefore, the effectiveness evaluation of its using becomes to some extent an indicator of the increasing possibilities the volume and improving the quality of agri-food products, providing the enterprise with competitive advantages in the market. In such circumstances, the search for ways to achieve the highest end results with the lowest labor costs in the production processes become quite significant and a positive factor in the efficiency of the enterprise labor potential using and become particularly i

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42

Kadochnikova, E. I., N. G. Bagautdinova, and S. O. Khomidov. "Sector trends of total factor productivity: where is the growth potential?" Russian Journal of Economics and Law 18, no. 4 (2024): 876–97. https://doi.org/10.21202/2782-2923.2024.4.876-897.

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Objective: to identify industry trends in aggregate factor productivity, labor productivity and capital productivity in economic sectors. The hypotheses are: there is a continuing slowdown in aggregate factor productivity in the Russian economy sectors; there is a gap in aggregate factor productivity in various complexes of industries. Methods: Cobb–Douglas production function, multiple regression, Domar aggregation, Gini coefficient, graphical visualization. Results: the study revealed a more efficient use of labor resources in contrast to capital, the latter being accumulated everywhere. The

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43

Karpechko, Yury V., and Natalia L. Bondarik. "Effect of Potential Warming on Evapotranspiration from Forest Catchments in Karelia." Hydrology Research 34, no. 3 (2003): 147–60. http://dx.doi.org/10.2166/nh.2003.0001.

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The amount of evapotranspiration from a woodland largely depends on the site and stand productivity. The factor largely responsible for the stand productivity (productivity class) of an individual forest type under the climatic conditions of northwest Russia is temperature. If mean annual air temperature rises by 1°C and 2°C the average productivity of a coniferous stand in Karelia will increase by 0.3-0.4 and 0.6-0.8 of the productivity class, respectively. The average estimated increment of annual evapotranspiration from a forest in a sufficiently large catchment area will not exceed 15-20 m

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44

Niu, Miaomiao, Xianchun Tan, Jianxin Guo, Guohao Li, and Chen Huang. "Driving Factors and Growth Potential of Provincial Carbon Productivity in China." Sustainability 13, no. 17 (2021): 9759. http://dx.doi.org/10.3390/su13179759.

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Climate change has become a global concern, and the development of a green economy has attracted wide attention. Understanding the driving factors and growth potential of provincial-level carbon productivity is crucial for China’s green economic development in the new normal phase. In this study, the logarithmic mean Divisia index (LMDI) is adopted to systematically investigate the driving factors of provincial carbon productivity and explore the growth potential of provinces’ carbon productivity based on the clustering analysis. The results show that: (1) China’s provincial carbon productivit

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45

Yan, Xingrong, Linyan Feng, Ram P. Sharma, et al. "Evaluating Forest Site Quality Using the Biomass Potential Productivity Approach." Forests 15, no. 1 (2023): 23. http://dx.doi.org/10.3390/f15010023.

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Biomass productivity is of great significance for the evaluation of forest quality, which is important for the improvement of forest management. We propose the computational methods of biomass potential productivity (BPP) and biomass realistic productivity (BRP), both of which provide reliable practical guides for predicting forest growth under multi-aged, multi-species, and multi-layered canopy conditions. We used 2222 national forest inventory plots that were measured in four consecutive periods in the Jilin Province for this purpose. We analyzed and verified the computational methods of BPP

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46

Peters, Emily B., Kirk R. Wythers, Shuxia Zhang, John B. Bradford, and Peter B. Reich. "Potential climate change impacts on temperate forest ecosystem processes." Canadian Journal of Forest Research 43, no. 10 (2013): 939–50. http://dx.doi.org/10.1139/cjfr-2013-0013.

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Large changes in atmospheric CO2, temperature, and precipitation are predicted by 2100, yet the long-term consequences for carbon (C), water, and nitrogen (N) cycling in forests are poorly understood. We applied the PnET-CN ecosystem model to compare the long-term effects of changing climate and atmospheric CO2 on productivity, evapotranspiration, runoff, and net nitrogen mineralization in current Great Lakes forest types. We used two statistically downscaled climate projections, PCM B1 (warmer and wetter) and GFDL A1FI (hotter and drier), to represent two potential future climate and atmosphe

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47

Pereira Resende, Cecília Leão, Rafael Correia Mendes, Felipe Ribeiro Ilaria, et al. "Potential of corn hybrids for fresh consumption." Revista de Biotecnologia & Ciência (ISSN 2238-6629) 10, no. 2 (2021): 1–13. http://dx.doi.org/10.31668/rbc.v10i2.12098.

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The objective of this work was to evaluate the potential of corn hybrids for grain productivity and fresh produce marketability in two crop seasons. The experiment applied the completely randomized block design with three replications, during 2013-14 and 2014-15 crops. Ten hybrids indicated for the Midwest region of Goiás state were used, namely 2B512PW, 2B587PW, 2B707PW, 30F35HR, 30F53YH, BRS1055, BM3061, P3646H and P3862YH. Hybrid AG1051 was used as control. The studied variables were ear height (EH), unhusked ear productivity (UEP), husked ear productivity (HEP), marketable ear productivity

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48

Thanomutiara, Eka. "Determinant of Total Factor Productivity Growth In South Sumatra." Modern Economics 33, no. 1 (2022): 117–24. http://dx.doi.org/10.31521/modecon.v33(2022)-15.

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Abstract. Introduction. Total Factor Productivity (TFP) is size productivity, more highthe Total Factor Productivity index is getting high productivity, so more high economic growth. Growth of the economy of South Sumatra province in some years experience a significant increase _ even more tall than the national average. Role technology in growth is very important. For that need, existence is a known determinant of TFP growth. Potential Output Variables Becomes moderating variable for variable Natural resources Nature and Income per capita against variable Dependent Total Factor Productivity.

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49

Tsereniuk, Aleksandr. "CALCULATION OF GENETIC POTENTIAL OF PRODUCTIVITY IN PIG BREEDING." Scientific and Technical Bulletin of the Institute of Animal Science NAAS of Ukraine, no. 123 (2020): 194–204. http://dx.doi.org/10.32900/2312-8402-2020-123-194-204.

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The purpose of the research, the results of which are revealed in the article, was to develop methodological approaches for calculating the genetic potential of productivity in pig breeding. The research was carried out in a breeding facility for animal breeding FG "Shubske", Bogodukhiv district, Kharkiv region. At the first stage, the productivity of the offspring (fattening qualities) of the UNI family saws of Welsh breed in the breeding facility for FG "Shubske", Bohodukhiv district, Kharkiv region was evaluated for two consecutive generations. The results show that in general for all evalu

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50

MOLNAR, O.S., V.S. KALYNYCH, and O.M. ZUBANYCH. "Factors for increasing the efficiency of the use of labor potential." Market Relations Development in Ukraine №10(257)2022 134 (January 3, 2023): 123–28. https://doi.org/10.5281/zenodo.7502540.

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The subject of the study is the factors for increasing the efficiency of the use of labor potential. The purpose of the study is to determine the factors of increasing the efficiency of the use of the labor potential of agricultural enterprises. Research methods. The work uses the dialectical method of scientific cognition, the method of analysis and synthesis, the comparative method, and the method of summarizing data. Work results. The paper identifies factors that affect labor productivity in agriculture. One of the most important areas of increasing labor productivity is outlined. The

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