Alok Kumar Pandey

@bhu.ac.in

Assistant Professor, CIRD
Banaras Hindu University

RESEARCH, TEACHING, or OTHER INTERESTS

Economics, Econometrics and Finance, Economics, Econometrics and Finance, Economics and Econometrics
12

Scopus Publications

367

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Exploring the Relationship in Farmer Producer Organisation and Financial Assistance Programme (PMKISAN) in Measuring Technical Efficiency among Rice Farmers in India
    Alok Kumar Pandey, Piyush Singh, Pawan Kumar Singh, Annapurna Dixit
    Indian Journal of Agricultural Economics, 2025
    The present study examined the impact of the two important initiatives for the farmers, the Farmer Producer Organisation and the Pradhan Mantri KISAN Scheme, on the technical efficiency of the rice growers in India.The stochastic frontier approach was applied to analyse 168 agricultural households producing rice in the Mirzapur District of Uttar Pradesh.These estimates found seed and irrigation as important variables influencing farmers' technical efficiency in this area.However, technical efficiency was recorded as relatively low, which justifies the possibility of improving the efficiency level through intervention.The mean technical efficiency was 84 per cent and 91 per cent for the two models, indicating that farmers with membership in the Farmer Producer Organisation and the financial assistance programme, as well as the PMKISAN schemes, benefit from these initiatives for efficient management, assistance, and utilisation of economic resources.The study recommends that the government and policymakers focus on establishing FPOs to improve access to resources, market networks, and bargaining power.
  • Exploring Livestock and Agricultural Income Poverty among Farming Households: Study Based on Mirzapur District of Uttar Pradesh
    Alok Kumar Pandey
    Indian Journal of Agricultural Economics, 2024
    This paper investigates poverty indices related to livestock and crop income among farming households. Data was collected from 400 households in the Mirzapur district. The study highlights the significant role of livestock ownership in poverty reduction, rural development, and food security, with women often managing livestock, contributing to their socio-economic empowerment. Various poverty indices, such as Headcount ratio, Poverty gap ratio, and Income gap ratio, were calculated for households with and without livestock. Results show that households with livestock earn around 21 per cent of their income from livestock and 73 per cent from crops, while households without livestock derive 89 per cent of their income from crops alone. Poverty indices are lower for households with livestock than those without, indicating that livestock ownership reduces poverty severity. The findings emphasize the need for policies promoting sustainable livestock production systems to alleviate poverty, particularly among small and marginal farmers. Providing access to subsidized livestock breeds and enhancing rural livestock promotion could contribute to higher incomes and employment generation in rural areas.
  • Forecasting global plastic production and microplastic emission using advanced optimised discrete grey model
    Subhra Rajat Balabantaray, Pawan Kumar Singh, Alok Kumar Pandey, Bhartendu Kumar Chaturvedi, Aditya Kumar Sharma
    Environmental Science and Pollution Research International, 2023
  • Impact of pandemic on development and demography in different continents and nations
    Pawan Kumar Singh, Alok Kumar Pandey, Ravi Kiran, Rajiv Kumar Bhatt, Anushka Chouhan
    International Journal of Finance and Economics, 2023
    This study has collected information of 145 countries to predict the effect of cases per million (CPM), tests per million (TPM), and proportion of people aged 65 and above (PAO) on the number of deaths per million DPM at the country and continent level. In addition, it evaluates the economic cost of tests, deaths, COVID‐19 cases in terms of reduction in GDP growth rate across the countries. This paper uses a different econometrics model, including analysis of variance (ANOVA), regression, and multinomial regression model. The robust regression model with M and MM‐estimation was also used due to leverage and residuals in country wise GDP database. A significant difference was found in deaths per million (DPM), TPM, number of COVID‐19 cases (CPM), and percentage of people aged 65 and above (PAO) across continents. The DPM is negatively associated with TPM, and it was relatively more effective in reducing DPM in Africa (0.32%) as compared to Asia (0.25%) and Europe (0.28). The results show that a 1% increase in the elderly population causes a 0.62% increase in DPM in Africa, while it caused a 2.31% increase in Europe. The study will be helpful in ascertaining the impact of these indicators in this pandemic and help in policy formation and decision‐making strategies to fight the COVID19 pandemic.
  • A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies
    Pawan Kumar Singh, Alok Kumar Pandey, S. C. Bose
    Quality and Quantity, 2023
  • Prediction of surface temperature and CO2 emission of leading emitters using grey model EGM (1,1, α, θ)
    Pawan Kumar Singh, Alok Kumar Pandey, Anushka Chouhan, Gopal Ji Singh
    Environmental Science and Pollution Research, 2023
  • Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India
    Ansari Saleh Ahmar, Pawan Kumar Singh, R. Ruliana, Alok Kumar Pandey, Stuti Gupta
    Forecasting, 2023
    The agriculture sector plays an essential function within the Indian economic system. Foodgrains provide almost all the calories and proteins. This paper aims to compare ARIMA, SutteARIMA, Holt-Winters, and NNAR models to recommend an effective model to predict foodgrains production in India. The execution of the SutteARIMA predictive model used in this analysis was compared with the established ARIMA, Neural Network Auto-Regressive (NNAR), and Holt-Winters models, which have been widely applied for time series prediction. The findings of this study reveal that both the SutteARIMA model and the Holt-Winters model performed well with real-life problems and can effectively and profitably be engaged for food grain forecasting in India. The food grain forecasting approach with the SutteARIMA model indicated superior performance over the ARIMA, Holt-Winters, and NNAR models. Indeed, the actual and predicted values of the SutteARIMA and Holt-Winters forecasting models are quite close to predicting foodgrains production in India. This has been verified by MAPE and MSE values that are relatively low with the SutteARIMA model. Therefore, India’s SutteARIMA model was used to predict foodgrains production from 2021 to 2025. The forecasted amount of respective crops are as follows (in lakh tonnes) 1140.14 (wheat), 1232.27 (rice), 466.46 (coarse), 259.95 (pulses), and a total 3069.80 (foodgrains) by 2025.
  • Forecasting of non-renewable and renewable energy production in India using optimized discrete grey model
    Alok Kumar Pandey, Pawan Kumar Singh, Muhammad Nawaz, Amrendra Kumar Kushwaha
    Environmental Science and Pollution Research, 2023
  • Multiple forecasting approach: a prediction of CO2 emission from the paddy crop in India
    Pawan Kumar Singh, Alok Kumar Pandey, Sahil Ahuja, Ravi Kiran
    Environmental Science and Pollution Research, 2022
  • COVID-19 pandemic and transmission factors: An empirical investigation of different countries
    Pawan Kumar Singh, Ravi Kiran, Rajiv Kumar Bhatt, Mosab I. Tabash, Alok Kumar Pandey, Anushka Chouhan
    Journal of Public Affairs, 2021
    The present work evaluates the impact of age, population density, total population, rural population, annual average temperature, basic sanitation facilities, and diabetes prevalence on the transmission of COVID‐19. This research is an effort to identify the major predictors that have a significant impact on the number of COVID‐19 cases per million population for 83 countries. The findings highlight that a population with a greater share of old people (aged above 65) shows a higher number of COVID‐19 positive cases and a population with a lower median age has fewer cases. This can be explained in terms of higher co‐morbidities and the lower general immunity in the older age group. The analysis restates the widely seen results that a higher median age and greater prevalence of co‐morbidities leads to higher cases per million and lesser population density and interpersonal contact helps in containing the spread of the virus. The study finds foundation in the assertion that a higher temperature might lower the number of cases, or that temperature in general can affect the infectivity. The study suggests that better access to sanitation is a certain measure to contain the spread of the virus. The outcome of this study will be helpful in ascertaining the impact of these indicators in this pandemic, and help in policy formation and decision‐making strategies to fight against it.
  • A SWOT analysis of groundnut farm households: Evidence from Mirzapur district in India
    Bulgarian Journal of Agricultural Science, 2021
  • An empirical investigation of inequality among the self employed women entrepreneurs in informal sector in India
    Annapurna Dixit, Alok Kumar Pandey
    International Journal of Business and Globalisation, 2020

RECENT SCHOLAR PUBLICATIONS

  • Exploring the Relationship in Farmer Producer Organisation and Financial Assistance Programme (PMKISAN) in Measuring Technical Efficiency among Rice Farmers in India
    AK Pandey, P Singh, PK Singh, A Dixit
    Indian Journal of Agricultural Economics 80 (3), 682- 706 , 2025
    2025
  • LEPIDOPTERAN PESTS OF MULBERRY: BIOLOGY, GEOGRAPHICAL DISTRIBUTION, MANAGEMENT AND FUTURE DIRECTIONS
    T Das, AK Pandey, B Kumar
    Zoology 20 (1), 1701-1719 , 2025
    2025
    Citations: 1
  • Time Series Forecasting of Four Cryptocurrencies Market Using Machine Learning Models
    AK Pandey, BK Chaturvedi, PK Singh
    The Indian Journal of Economics 104 (415), 641-665 , 2024
    2024
  • Dynamics of Self-Employed Women Entrepreneurs in Uttar Pradesh: From Aspirations to Achievements
    A Dixit, AK Pandey
    The Indian Economic Journal 2 (Special Issue), 717-730 , 2024
    2024
  • Exploring Livestock and Agricultural Income Poverty among Farming Households: Study Based on Mirzapur District of Uttar Pradesh
    AK Pandey
    Indian Journal of Agricultural Economics 79 (3), 535-546 , 2024
    2024
    Citations: 1
  • Forecasting global plastic production and microplastic emission using advanced optimised discrete grey model
    SR Balabantaray, PK Singh, AK Pandey, BK Chaturvedi, AK Sharma
    Environmental Science and Pollution Research 30 (59), 123039-123054 , 2023
    2023
    Citations: 17
  • A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies: PK Singh et al.
    PK Singh, AK Pandey, SC Bose
    Quality & Quantity 57 (3), 2429-2446 , 2023
    2023
    Citations: 28
  • Prediction of surface temperature and CO 2 emission of leading emitters using grey model EGM (1,1, α, θ)
    PK Singh, AK Pandey, A Chouhan, GJ Singh
    Environmental Science and Pollution Research 30 (14), 39708-39723 , 2023
    2023
    Citations: 3
  • Comparison of ARIMA, SutteARIMA, and holt-winters, and NNAR models to predict food grain in India
    AS Ahmar, PK Singh, R Ruliana, AK Pandey, S Gupta
    Forecasting 5 (1), 138-152 , 2023
    2023
    Citations: 32
  • Discrimination to dominance: the experiences of self-employed women entrepreneurs
    A Dixit, AK Pandey
    The Indian Economic Journal 8 (Special Issue), 14-24 , 2023
    2023
  • Stationarity, Change Point, and Growth in Agriculture Food Production and Yield Per Hectare in India
    AK Pandey, A Dixit, PK Singh
    The Indian Economic Journal 4 (2), 439-449 , 2022
    2022
  • Forecasting of non-renewable and renewable energy production in India using optimized discrete grey model
    AK Pandey, PK Singh, M Nawaz, AK Kushwaha
    Environmental Science and Pollution Research 30 (3), 8188-8206 , 2022
    2022
    Citations: 36
  • Impact of pandemic on development and demography in different continents and nations
    AC Pawan Kumar Singh,Alok Kumar Pandey,Ravi Kiran,Rajiv Kumar Bhatt
    International Journal of Finance & Economics , 2021
    2021
  • भारत में कोरोना महामारी का ग्रामीण शहरी प्रवासन पर प्रभाव: एक विश्लेषणात्मक अध्ययन
    DP Tiwari, AK Pandey
    ग्रामीण विकास समीक्षा 62, 84-92 , 2021
    2021
  • Multiple forecasting approach: a prediction of CO2 emission from the paddy crop in India
    RK Pawan Kumar Singh, Alok Kumar Pandey, Sahil Ahuja
    Environmental Science and Pollution Research , 2021
    2021
    Citations: 41
  • A SWOT analysis of groundnut farm households: Evidence from Mirzapur District in India
    Tabash M. I., Singh P. K ., Bhatt, R. K., Pandey, A. K.
    Bulg. J. Agric. Sci. 27 (4), 656–666 , 2021
    2021
    Citations: 3
  • COVID-19 pandemic and transmission factors: An empirical investigation of different countries
    AC Pawan Kumar Singh, Ravi Kiran, Rajiv Kumar Bhatt, Mosab I. Tabash, Alok ...
    Journal of Public Affairs , 2021
    2021
    Citations: 15
  • Socio-Economic Status of Slum Dwellers: A Cross-Sectional Study of five slums in Varanasi City
    AK Pandey
    Journal of Global Economy , 2021
    2021
    Citations: 5
  • Will COVID-19 Cases in India Reach 10 Million? Forecasting Approach by Using α -Sutte Indicator Method
    RKB Pawan Kumar Singh, Alok Kumar Pandey
    Biomedical Journal of Scientific & Technical Research (BJSTR) , 2021
    2021
  • An empirical investigation of inequality among the self employed women entrepreneurs in informal sector in India
    A Dixit, AK Pandey
    International Journal of Business and Globalisation (IJBG) 24 (1), 57-77 , 2020
    2020
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • SMEs and Economic Growth in India: Cointegration Analysis.
    A Dixit, A Kumar Pandey
    IUP Journal of Financial Economics 9 (2) , 2011
    2011
    Citations: 115
  • Multiple forecasting approach: a prediction of CO2 emission from the paddy crop in India
    RK Pawan Kumar Singh, Alok Kumar Pandey, Sahil Ahuja
    Environmental Science and Pollution Research , 2021
    2021
    Citations: 41
  • Forecasting of non-renewable and renewable energy production in India using optimized discrete grey model
    AK Pandey, PK Singh, M Nawaz, AK Kushwaha
    Environmental Science and Pollution Research 30 (3), 8188-8206 , 2022
    2022
    Citations: 36
  • Comparison of ARIMA, SutteARIMA, and holt-winters, and NNAR models to predict food grain in India
    AS Ahmar, PK Singh, R Ruliana, AK Pandey, S Gupta
    Forecasting 5 (1), 138-152 , 2023
    2023
    Citations: 32
  • A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies: PK Singh et al.
    PK Singh, AK Pandey, SC Bose
    Quality & Quantity 57 (3), 2429-2446 , 2023
    2023
    Citations: 28
  • Export and economic growth in India: Causal interpretation
    AK Pandey
    JOURNAL OF GLOBAL ECONOMY 2 (4), 245 , 2006
    2006
    Citations: 22
  • Forecasting global plastic production and microplastic emission using advanced optimised discrete grey model
    SR Balabantaray, PK Singh, AK Pandey, BK Chaturvedi, AK Sharma
    Environmental Science and Pollution Research 30 (59), 123039-123054 , 2023
    2023
    Citations: 17
  • COVID-19 pandemic and transmission factors: An empirical investigation of different countries
    AC Pawan Kumar Singh, Ravi Kiran, Rajiv Kumar Bhatt, Mosab I. Tabash, Alok ...
    Journal of Public Affairs , 2021
    2021
    Citations: 15
  • Inequality in consumption expenditure at household level in Uttar Pradesh: regression based inequality decomposition (RBID)
    A Pandey
    Journal of Global Economy 9 (2) , 2013
    2013
    Citations: 14
  • Causality between non-tax revenue and state domestic product: A study of 20 states in India
    AK Pandey, A Dixit
    IUP Journal of Public Finance 7 (2), 25 , 2009
    2009
    Citations: 7
  • Globalization and WTO: Impact on India’s economic growth and export
    AK Pandey
    2008
    Citations: 7
  • Small-Scale Industries in Indian Economy: A Quantitative Appraisal.
    A Dixit, AK Pandey
    ICFAI Journal of Financial Economics 7 (2) , 2009
    2009
    Citations: 6
  • Socio-Economic Status of Slum Dwellers: A Cross-Sectional Study of five slums in Varanasi City
    AK Pandey
    Journal of Global Economy , 2021
    2021
    Citations: 5
  • An empirical investigation of inequality among the self employed women entrepreneurs in informal sector in India
    A Dixit, AK Pandey
    International Journal of Business and Globalisation (IJBG) 24 (1), 57-77 , 2020
    2020
    Citations: 5
  • Prediction of surface temperature and CO 2 emission of leading emitters using grey model EGM (1,1, α, θ)
    PK Singh, AK Pandey, A Chouhan, GJ Singh
    Environmental Science and Pollution Research 30 (14), 39708-39723 , 2023
    2023
    Citations: 3
  • A SWOT analysis of groundnut farm households: Evidence from Mirzapur District in India
    Tabash M. I., Singh P. K ., Bhatt, R. K., Pandey, A. K.
    Bulg. J. Agric. Sci. 27 (4), 656–666 , 2021
    2021
    Citations: 3
  • India's Trade Experience with SAARC and the Future of SAFTA
    AK Pandey, A Dixit
    Journal of Global Economy 5 (1), 3-12 , 2009
    2009
    Citations: 3
  • Poverty and Inequality in Terms of Consumption Expenditure among Agricultural Households of Indian States : Comparison based on 70th round of NSSO Data
    AK Pandey, D A
    The Indian Economic Journal Special Issue, 508-528 , 2017
    2017
    Citations: 2
  • Entrepreneurship and marketing among Tharu tribe in India
    A Dixit, A Pandey
    Journal of Global Economy 6 (2), 117-136 , 2010
    2010
    Citations: 2
  • LEPIDOPTERAN PESTS OF MULBERRY: BIOLOGY, GEOGRAPHICAL DISTRIBUTION, MANAGEMENT AND FUTURE DIRECTIONS
    T Das, AK Pandey, B Kumar
    Zoology 20 (1), 1701-1719 , 2025
    2025
    Citations: 1