Growth and Productivity of Unorganized Manufacturing Enterprises: An Analysis across States/UTs in India

Author(s):  
Pinaki Das ◽  
Akash Dandapat
2020 ◽  
pp. 47-62
Author(s):  
Andrei A. Yakovlev ◽  
Nina V. Ershova ◽  
Olga M. Uvarova

The paper analyzes the shifts in government priorities in terms of support of big and medium manufacturing enterprises amid 2008—2009 and 2014—2015 crises. Based on the data of 2009, 2014 and 2018 surveys of Russian manufacturing firms, using logit regressions we identify factors that affect the receipt of financial and organizational support at different levels of government. The analysis shows that in 2012—2013 the share of manufacturing firms that received state support shrank significantly as compared to 2007—2008; moreover, the support concentrated on enterprises that had access to lobbying resource (such as state participation in the ownership or business associations membership). In 2016—2017 the scale of state support coverage recovered. However, the support at all levels of government was provided to firms that carried out investment and provided assistance to regional or local authorities in social development of the region, while the factor of state participation in the ownership became insignificant. The paper provides possible explanation for these shifts in the criteria of state support provision in Russia.


2011 ◽  
Vol 4 (8) ◽  
pp. 68-70
Author(s):  
Dr. P. Siva Kumar ◽  
◽  
B. Bhagavan Reddy

1985 ◽  
Vol 24 (3-4) ◽  
pp. 703-719 ◽  
Author(s):  
Abdul Hafeez Shaikh

This study has two objectives; (i) to develop a framework for evaluating the operational performance of manufacturing enterprises, and (ii) to evaluate the trend in the performance of Pakistan's vegetable ghee industry for the 1970- 1980 period, with special focus on its relative performance under private and public ownerships. Section II is devoted to the vegetable ghee industry itself - its technology, development, pricing and distribution policies. In Section III a framework for performance evaluation is developed. In Section IV we evaluate in a series of steps - the performance of Pakistan's vegetable ghee industry. The final section is devoted to concluding comments.


2018 ◽  
Vol 20 (5) ◽  
pp. 32-35
Author(s):  
S.S. Kozak ◽  
◽  
N.L. Dogadova ◽  
Yu.A. Kozak ◽  
N.A. Gorodnaya ◽  
...  

Author(s):  
Alena Zemplinerova ◽  
Radek Lastovicka ◽  
Anton Marcincin

2020 ◽  
Vol 16 ◽  
Author(s):  
Luxia Zheng ◽  
Xiong Shen ◽  
Yingchun Wang ◽  
Jian Liang ◽  
Mingming Xu ◽  
...  

Background: Phospholipids are widely used in food and pharmaceutical industry as functional excipients. In spite of the many analytical methods reported, there are very limited reports concerning systematic research and comparison of phospholipid excipients. Objective: To present a comprehensive evaluation of commercial natural phospholipid excipients (CNPEs). Methods: Seventeen batches of CNPEs from five manufacturing enterprises, isolated either from soybean or egg yolk, were investigated. The content and composition of phospholipids, fatty acids and sterols as a whole were considered as the evaluative index of CNPEs. Eight kinds of phospholipids were determined by supercritical fluid chromatography (SFC), twenty-one kinds of fatty acids were determined by gas chromatography (GC) after boron trifluoride-methanol derivatization, and nine kinds of sterols were determined by high performance liquid chromatography (HPLC) after separation and derivatization of the unsaponifiable matter. Cluster analysis was employed for classification and identification of the CNPEs. Results: The results showed that each kind of CNPEs had its characteristic content and composition of phospholipids, fatty acids and sterols. Seventeen batches of samples were divided into eight groups in cluster analysis. CNPEs of the same type from different source (soybean or egg yolk) or enterprises presented different content and composition of phospholipids, fatty acids and sterols. Conclusion: Each type of CNPEs had its characteristic content and composition of phospholipid, fatty acid and sterol. The compositions of phospholipid, fatty acid and sterol as a whole can be applied as an indicator of the quality and characteristics for CNPEs.


2021 ◽  
pp. 1-13
Author(s):  
Sun Jianzhu ◽  
Zhang Qingshan ◽  
Yu Yinyun

Multi-site selection is a hot research issue for equipment manufacturing enterprises. With the development of smart industry, equipment manufacturing enterprises have entered the era of personalized and small batch manufacturing. Enterprises want to better meet customer needs and win competition, they must carry out scientific factory planning and site selection, so as to ensure quick response to the market. Based on this, this paper proposes a two-stage location selection model. Firstly, the method uses fuzzy numbers to express the demand size of demand points. Secondly, the distance factor is used as a criterion to select the candidate manufacturing bases with sufficient available resources. Next, the location model of enterprise manufacturing base is established which the goal of maximizing service efficiency and the constraints of time, cost and demand. Finally, a random numerical example is used to simulate the model, and lingo is used to solve it.


2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.


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