Determination of Farm level Technical Efficiency and Yield Gap of Paddy Production in Andhra Pradesh, India: An Empirical Approach | Chapter 6 | Emerging Issues in Agricultural Sciences Vol. 9

 This stage evaluates the farm level technical adeptness and yield gap of paddy production in Andhra Pradesh, India. Farm adeptness is a broad area, that can be examined by equating the economic effectiveness of various types of farm groups (small, medium and big), or farming arrangements (irrigated and non-irrigated) or ecological zones. The study secondhand the latest available dossier for the year 2016-17 accompanying an objective to calculate the technical effectiveness and yield gap. For manipulative technical adeptness Data Envelopment Analysis technique was employed.The subordinate data set held 541 paddy producing farms/units across Andhra Pradesh state under five agro important zones viz North marshy, Godavari, Krishna, Southern and Scarce rainfall zones was studied. The results granted that the overall technical adeptness of the entire sample is 86.8 per insignificant value inferring that about 13 per cent of the potential paddy yield is missing because of mechanics inefficiency in Andhra Pradesh. The level of technical effectiveness is directly had connection with the agro climatic zones of Andhra Pradesh. Among different agro important zones technical adeptness is found maximal in Godavari zone with 0.883 and erect lowest in scant rainfall zone (0.808). Technical adeptness varies in accordance with farm size. It shows the borderline farmers are slightly more mechanics efficient than wheeled vehicle for hauling-medium and medium farmers. The technical adeptness varies in accordance with farm size .Farm-size reasonable technical effectiveness of paddy in Andhra Pradesh.  The marginal farms are erect to be slightly more technically adept than semi-medium and medium farms. The yield break was found to be 981.10 kg/ha in Godavari district and a minimum yield gap of 335 kg/ha in North marshy zone with an average yield break of 663 kg/ha for Andhra Pradesh indicating household paddy production maybe significantly increased only by reconstructing farmers practices accompanying the current amount of resource they are using. In order to increase mechanics efficiency, volume building on the use of appropriate scientific information to capture the capital potential resource use adeptness with less cost, creative habits to cut waste, and dissemination of all appropriate farm knowledge material should be heartened.

Author(s) Details:

Paul K. S. R.,
Cost of Cultivation Scheme, Agricultural College, Bapatla, Professor Jayashankar Telangana State Agricultural University, Andhra Pradesh, 522101, India.

Sunandini G. P.,
Department of Agricultural Economics, College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad, Telangana-500030, India.

ShakuntalaIrugu,
Cost of Cultivation Scheme, Regional Agricultural Research Station, Palem, Professor Jayashankar Telangana State Agricultural University, Nagarkurnool, Telangana-509215, India.

Suhasini K.,
Department of Agricultural Economics, Professor Jayashankar Telangana State Agricultural University, Hyderabad, Telangana-500030, India.

Please see the link here: https://stm.bookpi.org/EIAS-V9/article/view/12614

Branch Efficiency Analysis with a Hybrid DEA-AHP Analysis and Distribution Channel Selection with Linear Programming Model in a Parcel Company | Chapter 13 | Research Developments in Science and Technology Vol. 9

With branches and hubs serving as distribution networks, the parcel delivery industry is a quickly expanding and fiercely competitive industry. The distribution of deliveries has improved recently as a result of growing ecommerce. On-time deliveries are essential to the success of parcel delivery businesses and have a direct impact on client satisfaction. As a result, it is crucial to evaluate the effectiveness of branches that handle last-mile deliveries. The Data Envelopment Analysis (DEA) approach is one of the ways to gauge effectiveness. The Analytic Hierarchy Process (AHP) is a paradigm for multiple criterion evaluation that offers a mechanism for contrasting options by organising criteria according to a hierarchy. An essential strategy for last-mile on-time delivery is the hub-and-spoke business model. First, DEA and AHP were combined in a hybrid model that was used in to assess branch effectiveness. According to the findings, it is suggested to use the Hub-and-Spoke model, which is direct distribution from Hubs, for branches with low efficiency. Second, the LP model was used to pick the distribution channel, which is the branches to remain open, and the regions where the Hub-and-Spoke distribution model can be used, in order to evaluate the model's correctness.

Author (s) Details

Sebnem Indap
Logistics & Supply Chain Management PhD, Maltepe University, Istanbul, Turkey

Batuhan Kocaoglu
Department of MIS, Piri Reis University, Istanbul, Turkey.

View Book :- https://stm.bookpi.org/RDST-V9/article/view/7558

Investigating the Determinants of Bank Performance in South Africa: A Panel Data Analysis | Chapter 2 | Modern Perspectives in Economics, Business and Management Vol. 8

According to the World Bank's 2017 first quarter report, South Africa has the largest economy in Africa and ranks 32nd in the world in terms of Gross Domestic Product (GDP). Previous economic disasters, such as the global financial crisis of 2008, the insolvency of all Cyprus banks in 2013, and Standard & Poor's (S&P) downgrading of South African banks to junk status in 2017, have driven the need for banks to be more strictly regulated. Using a panel of selected banks representing roughly 80% of total bank assets in South Africa, the major purpose of this research was to investigate the determinants of bank performance in the context of bank-specific variables, industry-related factors, and macroeconomic effects. According to the conclusions of the study, which used random effects panel data analysis, non-performing loans, capital adequacy, and GDP market price are the key drivers of bank performance in South Africa. The advancement of South Africa's financial system necessitates proper control of these elements. The findings suggest that the strength of the economy influences bank profitability in South Africa, and that bank ROA influences economic growth as measured by the country's GDP.

Author (S) Details

Emmanuel Lawa
Department of Applied Management, Durban University of Technology, Pietermaritzburg, South Africa.

Luther-King Junior Zogli
Department of Applied Management, Durban University of Technology, Pietermaritzburg, South Africa.

Bongani Innocent Dlamini
Department of Applied Management, Durban University of Technology, Pietermaritzburg, South Africa.

View Book :- https://stm.bookpi.org/MPEBM-V8/article/view/3646