Socio-Economic Evolution of Agricultural Landscape in Pakistani Cities: A Time Series Analysis (2012-2022)
Keywords:
Socio-Economic Evolution, Literacy Rate, Number of Households, Inflation, Consumer Price Index, Economic ResilienceAbstract
This study presents a comprehensive analysis of the socio-economic evolution in Pakistani cities, focusing on Sheikhupura, Nankana, Hafizabad, and Gujranwala, spanning the period from 2012 to 2022. Through a quantitative approach and time series analysis techniques, key indicators such as literacy rate, number of households, inflation, consumer price index, yield, and area under cultivation are examined to discern trends, patterns, and correlations. Data sourced from reputable databases including the Pakistan Social and Living Standards Measurement Survey and the CRS Agriculture database are meticulously analyzed using statistical software packages such as SPSS and Excel. The findings reveal dynamic trends in agricultural productivity, educational attainment, demographic shifts, and economic resilience across the studied cities. Insights from this research offer valuable inputs for policymakers, stakeholders, and development practitioners to formulate targeted interventions aimed at fostering sustainable socio-economic development and enhancing the well-being of urban populations in Pakistani cities.
References
J. W. Gunning, J. Hoddinott, B. Kinsey, and T. Owens, “Revisiting forever gained: Income dynamics in the resettlement areas of Zimbabwe, 1983-96,” J. Dev. Stud., vol. 36, no. 6, pp. 131–154, 2000, doi: 10.1080/00220380008422657.
M. Luqman, R. Saqib, M. Karim, K. Nawab, A. Rehman, and M. Yaseen, “Socio-Economic impacts of agro-forestry on livelihoods of rural households in southern region of the Punjab, Pakistan,” Sarhad J. Agric., vol. 34, no. 4, pp. 880–887, 2018, doi: 10.17582/JOURNAL.SJA/2018/34.4.880.887.
G. W. Sileshi, E. Kuntashula, P. Matakala, and P. O. Nkunika, “Farmers’ perceptions of tree mortality, pests and pest management practices in agroforestry in Malawi, Mozambique and Zambia,” Agrofor. Syst., vol. 72, no. 2, pp. 87–101, Feb. 2008, doi: 10.1007/S10457-007-9082-5.
F. Finan, E. Sadoulet, and A. de Janvry, “Measuring the poverty reduction potential of land in rural Mexico,” J. Dev. Econ., vol. 77, no. 1, pp. 27–51, Jun. 2005, doi: 10.1016/J.JDEVECO.2004.02.004.
M. R. Islam, A. Mia, and N. R. Sorcar, “Income generation perspective in non-formal education NGO initiatives in Bangladesh,” Asian Pacific J. Soc. Work, vol. 15, no. 1, pp. 17–29, 2005, doi: 10.1080/21650993.2005.9755966.
J. P. Herrera et al., “Food insecurity related to agricultural practices and household characteristics in rural communities of northeast Madagascar,” Food Secur., vol. 13, no. 6, pp. 1393–1405, Dec. 2021, doi: 10.1007/S12571-021-01179-3.
S. A. Rahman, M. H. Imam, S. W. Wachira, K. M. Farhana, B. Torres, and D. M. Kabir, “Land use patterns and the scale of adoption of agroforestry in the rural landscapes of padma floodplain in Bangladesh,” For. Trees Livelihoods, vol. 18, no. 2, pp. 193–207, 2008, doi: 10.1080/14728028.2008.9752629.
J. L. Caviglia and J. R. Kahn, “Diffusion of sustainable agriculture in the Brazilian tropical rain forest: A discrete choice analysis,” Econ. Dev. Cult. Change, vol. 49, no. 2, pp. 311–333, 2001, doi: 10.1086/452504.
Y. Kajikawa, J. Ohno, Y. Takeda, K. Matsushima, and H. Komiyama, “Creating an academic landscape of sustainability science: An analysis of the citation network,” Sustain. Sci., vol. 2, no. 2, pp. 221–231, Oct. 2007, doi: 10.1007/S11625-007-0027-8.
“View of Rice Yield Estimation in Sawat Region Incorporating The Local Physio-Climatic Parameters.” Accessed: Feb. 22, 2024. [Online]. Available: https://journal.50sea.com/index.php/IJASD/article/view/426/505
H. C. J. Godfray et al., “Food security: The challenge of feeding 9 billion people,” Science (80-. )., vol. 327, no. 5967, pp. 812–818, Feb. 2010, doi: 10.1126/SCIENCE.1185383.
G. B. Nkamleu and V. M. Manyong, “Factors affecting the adoption of agroforestry practices by farmers in Cameroon,” Small-scale For. Econ. Manag. Policy, vol. 4, no. 2, pp. 135–148, Jun. 2005, doi: 10.1007/S11842-005-0009-6.
O. Coskunoglu, B. J. Hansotia, and M. A. Shaikh, “A new logit model for decision making and its application,” J. Oper. Res. Soc., vol. 36, no. 1, pp. 35–41, 1985, doi: 10.1057/JORS.1985.5.
S. Ahmad, H. Xu, and E. M. B. P. Ekanayake, “Socioeconomic Determinants and Perceptions of Smallholder Farmers towards Agroforestry Adoption in Northern Irrigated Plain, Pakistan,” L. 2023, Vol. 12, Page 813, vol. 12, no. 4, p. 813, Apr. 2023, doi: 10.3390/LAND12040813.
P. Poppenborg and T. Koellner, “Do attitudes toward ecosystem services determine agricultural land use practices? An analysis of farmers’ decision-making in a South Korean watershed,” Land use policy, vol. 31, pp. 422–429, Mar. 2013, doi: 10.1016/J.LANDUSEPOL.2012.08.007.
D. Amare and D. Darr, “Agroforestry adoption as a systems concept: A review,” For. Policy Econ., vol. 120, Nov. 2020, doi: 10.1016/J.FORPOL.2020.102299.
T. Amalu, P. Phil-Eze, and A. Ajake, “Assessing the impact of economic and cultural diversity on tourism development in Nigeria,” GeoJournal, vol. 85, no. 5, pp. 1457–1468, Oct. 2020, doi: 10.1007/S10708-019-10032-2.
B. M. Gebru, S. W. Wang, S. J. Kim, and W. K. Lee, “Socio-ecological niche and factors affecting agroforestry practice adoption in different agroecologies of southern Tigray, Ethiopia,” Sustain., vol. 11, no. 13, Jul. 2019, doi: 10.3390/SU11133729.
D. W. Hosmer and S. Lemeshow, “Goodness of fit tests for the multiple logistic regression model,” Commun. Stat. - Theory Methods, vol. 9, no. 10, pp. 1043–1069, Jan. 1980, doi: 10.1080/03610928008827941.
T. P. Baker, M. T. Moroni, D. S. Mendham, R. Smith, and M. A. Hunt, “Impacts of windbreak shelter on crop and livestock production,” Crop Pasture Sci., vol. 69, no. 8, pp. 785–796, 2018, doi: 10.1071/CP17242.
D. A. Hoekstra, “Economics of agroforestry,” Agrofor. Syst., vol. 5, no. 3, pp. 293–300, Sep. 1987, doi: 10.1007/BF00119127.
C. Valdivia, C. Barbieri, and M. A. Gold, “Between Forestry and Farming: Policy and Environmental Implications of the Barriers to Agroforestry Adoption,” Can. J. Agric. Econ., vol. 60, no. 2, pp. 155–175, Jun. 2012, doi: 10.1111/J.1744-7976.2012.01248.X.
