scholarly journals Agricultural Development And The Role Of Women's Self- Employment In Pakistan

2018 ◽  
Vol 16 (1) ◽  
pp. 103-120
Author(s):  
Rummana Zaheer ◽  
Saman Hussain ◽  
Muhammad Nadeemullah
Keyword(s):  
Labor Force ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Developing Economies ◽  
Positive Association ◽  
Series Data ◽  
Fiscal Year ◽  
Total Employment ◽  
Self Employment

Pakistan aimed to achieve the target of 5.5% of GDP growth for the fiscal year 2015-16, of which 3.9% is expected to catch from the agricultural sector. In the economy, about 42.3% of the total employment is attributed by the agricultural sector, of which about 72.7% is contributed by the 48.96% of the total population, the WOMEN. Female as first-line labor force never receive the consideration of their actual contribution in the development on national basis. Like other developing economies of the world, Pakistan must to focus to expose and utilize the potential of the women labor force in agriculture. The discussion on the agricultural development of Pakistan with reference to women's self-employment is done in this study. Along review of literature and empirical studies, to facilitate the discussion and conclusion, annual time series data from the period of 1985 to 2015 under the regression analysis is taken. The variables taken, to discuss the strength and nature of association with the agricultural development of Pakistan by selfemployment of women, are gross domestic product of agriculture, literacy rate of women, women employed in agriculture and domestic credit disbursement to agriculture sector. The study expects the significant result withal positive association of variables to the development of the economy.

Estimation of Elasticities of Substitution for CES and VES Production Functions using Firm-level Data for Food-processing Industries in Pakistan

1988 ◽  
Vol 27 (1) ◽  
pp. 59-71 ◽  
Author(s):  
George E. Barrese ◽  
Sohail J. Malik
Keyword(s):  
Food Processing ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Low Cost ◽  
Series Data ◽  
Firm Level ◽  
Acre Yield ◽  
Level Data ◽  
The Government

This study, based on the time-series data covering the period from 1956 to 1986, estimates production function in the agricultural sector of Pakistan. The strategy for agricultural development in the country has been based on greater utilization of "high pay-off' low-cost technology. The government advanced loans through financial institutions to make it possible for the farmers to acquire this technology. Despite the infusion of seed-fertilizer technology, per acre yield of major crops like wheat, rice, cereal and sugar-cane in Pakistan is lower than in most LDCs in the region. Therefore, it is concluded that the use of present technology has reached a plateau and it is time to look for additional inputs for improvement in productivity.

scholarly journals Tractorisation and Agricultural Development in India

2013 ◽  
Vol 8 (4) ◽  
pp. 285-292
Author(s):  
Komol Singha
Keyword(s):  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Green Revolution ◽  
Series Data ◽  
Correction Model ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Technological innovations have had profound effect on agricultural sector in the post-Green Revolution period in India. With the inception of Green Revolution, mechanisation process, especially the application of tractor in agriculture sector had intensified. However, in 2000s, the pattern of mechanization has diversified slightly from the intensive tractorisation to other implements like, irrigation, fertilizer, harvester, energy and others. Using a time series data on tractorisation and agriculture GDP for 43 years, co-integration regression method was employed to understand short run equilibrium between the variables. Further, the Error Correction Model (ECM) result showed that elasticities of mechanization were 10.4 percent and 0.52 percent for the long-run and the short-run respectively. It implies that a positive impact of mechanization on agriculture GDP was found both in the short run and long-run.

scholarly journals Influence of road transport infrastructure on agricultural sector development in Nigeria

2018 ◽  
Vol 9 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Olusogo Ogunleye ◽  
Akinyemi Ajibola ◽  
Oluwafemi Enilolobo ◽  
Olufolakemi Shogunle
Keyword(s):  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Road Construction ◽  
Road Transport ◽  
Least Square ◽  
Transport Infrastructure ◽  
Series Data ◽  
National Bureau ◽  
Causality Test

AbstractThe study investigated the effects of road transport infrastructure on agricultural sector development in Nigeria from 1985 to 2014, using secondary annual time series data on agricultural development (proxy by gross domestic product in the Agric sector) road transport infrastructure (proxy by length of paved road per square kilometer of area) export and capital, all obtained from the Central Bank of Nigeria (CBN) [3], and National Bureau of Statistics (NBS) [16], statistical bulletins. The data were analyzed using Granger Causality test and Ordinary Least Square estimation techniques. The study concluded that a positive and statistically significant relationship exists between road transport infrastructures (LRT) also evidence was found of a unidirectional causality from agricultural sector development to transport infrastructure. The study, therefore, recommends that adequate and timely maintenance of existing roads should be carried out as well as enacting appropriate regulations that ensure proper implementation and completion of new road construction contracts in the country in order to boost agricultural sector development, reduce wastage of farm produce and increase the possibility of economic diversification.

scholarly journals AN ECONOMIC ANALYSIS OF THE MOST IMPORTANT FACTORS AFFECTING AGRICULTURAL GROWTH IN IRAQ USING ARDL MODEL

2019 ◽  
Vol 50 (6) ◽  
Author(s):  
Alattabi & AlBadri
Keyword(s):  
Labor Force ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Unit Root Test ◽  
Fixed Capital ◽  
Series Data ◽  
Agricultural Labor ◽  
Agricultural Growth ◽  
Distributed Lag ◽  
Agricultural Imports

This research was aimed to study some factors influencing agricultural growth in Iraq. Using time series data for the period 1990 – 2017, of agricultural growth (a dependent variable) and agricultural exports, agricultural imports, agricultural fixed capital and the agricultural labor force (as independent variables). For these purposes, were statistical and econometrics methods employed to determine the most important aspects of this problem in agricultural sector. Co-integration analysis was used which developed by Johansen, also Augmented Dicky – Fuller of unit root test to determine non stationary data for choosing the best analysis method. In light of results, Auto-Regressive Distributed Lag model (ARDL) was used in assessment and analysis. The results showed presence of co-integration in both agricultural imports and agricultural labor force with elasticity coefficients (-0.3 and-0.6), respectively and significant at 1% and 5% levels respectively, and lack of co-integration of both the agr.exports and agricultural fixed capital with elasticity coefficients (0.2 and 0.03) respectively which they are not significant.

scholarly journals Production Function, Institutional Credit and Agricultural Development in Pakistan

1989 ◽  
Vol 28 (1) ◽  
pp. 43-56 ◽  
Author(s):  
Habib A. Zuberi
Keyword(s):  
Production Function ◽  
Financial Institutions ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Low Cost ◽  
Series Data ◽  
Acre Yield ◽  
The Government ◽  
Fertilizer Technology

This study, based on the time-series data covering the period from 1956 to 1986, estimates production function in the agricultural sector of Pakistan. The strategy for agricultural development in the country has been based on greater utilization of "high pay-off' low-cost technology. The government advanced loans through financial institutions to make it possible for the farmers to acquire this technology. Despite the infusion of seed-fertilizer technology, per acre yield of major crops like wheat, rice, cereal and sugar-cane in Pakistan is lower than in most LDCs in the region. Therefore, it is concluded that the use of present technology has reached a plateau and it is time to look for additional inputs for improvement in productivity.

A Macroeconomic Analysis of Agricultural Sector in Nigeria

2019 ◽  
Vol 5 (1) ◽  
pp. 18-25
Author(s):  
Isah Funtua Abubakar ◽  
Umar Bambale Ibrahim
Keyword(s):  
Value Chain ◽  
Crop Production ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Size Analysis ◽  
The Real ◽  
Real Gdp ◽  
The Impact

This paper attempts to study the Nigerian agriculture industry as a panacea to growth as well as an anchor to the diversification agenda of the present government. To do this, the time series data of the four agriculture subsectors of crop production, livestock, forestry and fishery were analysed as stimulus to the Real GDP from 1981-2016 in order to explicate the individual contributions of the subsectors to the RGDP in order to guide the policy thrust on diversification. Using the Johansen approach to cointegration, all the variables were found to be cointegrated. With the exception of the forestry subsector, all the three subsectors were seen to have impacted on the real GDP at varying degrees during the time under review. The crop production subsector has the highest impact, however, taking size-by-size analysis, the livestock subsector could be of much importance due to its ability to retain its value chain and high investment returns particularly in poultry. Therefore, it is recommended that, the government should intensify efforts to retain the value chain in the crop production subsector, in order to harness its potentials optimally through the encouragement of the establishment of agriculture cottage industries. Secondly, the livestock subsector is found to be the most rapidly growing and commercialized subsector. Therefore, it should be the prime subsector to hinge the diversification agenda naturally. Lastly, the tourism industry which is a source through which the impact of the subsector is channeled to the GDP should be developed, in order to improve the impact of such channel to GDP with the sole objective to resuscitate the forestry subsector.

Impact of Health and Agriculture Financing on Economic Growth in Nigeria

2021 ◽  
Vol 7 (18) ◽  
pp. 37-58
Author(s):  
Rasaki Olufemi KAREEM ◽  
◽  
Olawale LATEEF ◽  
Muideen Adejare ISIAKA ◽  
Kamilu RAHEEM ◽  
...  
Keyword(s):  
Economic Growth ◽  
Federal Government ◽  
Causal Relationship ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Government Expenditure ◽  
Health Sector ◽  
Series Data ◽  
The Impact

The study focused on the impact of health and agriculture financing on economic growth in Nigeria from 1981 to 2019. The study utilized the time series data which was extracted from Central Bank of Nigeria annual statistical bulletin. Unit Root test was performed with the use of Augmented Dickey-Fuller test in order to ascertain the stationarity of all the variables and they were all found to be stationary at order 1 in the two specified models (composite and disaggregated). Error Correction Model (ECM) was used to analyze the data in order to determine the speed of adjustment from the short run to the long run equilibrium state. Casualty test was used to confirm causal relationship among the variables of interests. The study revealed that Federal Government expenditure in Health sector has a significant effect on economic growth in Nigeria. Federal Government expenditure in Agricultural sector equally had a positive effect on economic growth but surprisingly not significant. Considering the disaggregated form, Federal Government capital expenditure in both Health and Agricultural sectors have positive and statistically significant effect on economic growth while Federal Government recurrent expenditure on health has a positive and statistically insignificant effect in economic. It was also revealed that there is causal relationship among the variables. Based on the findings, the study concluded that Federal Government Expenditure in Health Sectors and Agriculture Sectors have effect on economic growth in Nigeria.

scholarly journals Effect of Economic Integration on Agricultural Export Performance in Selected West African Countries

Economies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 79
Author(s):  
Olatunji Abdul Shobande
Keyword(s):  
Economic Integration ◽  
Fixed Effects ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Agricultural Research ◽  
Export Performance ◽  
Strong Predictor ◽  
West African ◽  
Series Data ◽  
Agricultural Export

The paper investigates the effect of economic integration on agricultural export performance in West African economies using the gravity model of bilateral trade on the annual time series data straddling the period 1970 to 2016. The empirical evidence is based on the pooled OLS and fixed effects estimator. We find that economic integration, as measured by trade openness, is a remarkably strong predictor of export performance in the region. We also examine the effect of geographical distance measured by effective nominal exchange rates and we find it has a negative effect on agricultural export performance. The paper recommends the adoption of a common currency to help mitigate exchange rate negativity that serves as resistance to trade in the region. Likewise, proactive agricultural research, extension and market driven strategies are strongly advocated for driven competition and economic efficiency within the regional agricultural sector.

A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

<span>The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity. </span>

Impact of Fiscal Policy on Agricultural Output in Nigeria

2019 ◽  
Vol 9 (7) ◽  
pp. 1428 ◽  
Author(s):  
Adedoyin Isola LAWAL ◽  
Ernest Onyebuchi FIDELIS ◽  
Abiola Ayoopo BABAJIDE ◽  
Barnabas O. OBASAJU ◽  
Oluwatoyese OYETADE ◽  
...  
Keyword(s):  
Fiscal Policy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Negative Impact ◽  
Capital Expenditure ◽  
Research Work ◽  
Estimation Method ◽  
Series Data ◽  
Agricultural Output ◽  
The Impact

This study examines the impact of fiscal policy on agricultural output in Nigeria using the most recent official data. The metrics for fiscal policy is government capital expenditure and custom duties on fertilizer. The study used annual time series data obtained from CBN annual statistical bulletin, NCS, and FIRS which was found to be stationary at the order of I(1) and I(0). The order of unit root test led to the use of ARDL estimation method employed in the empirical analysis of this research work. The study found evidence of both short and long run relationship between the variables (VAO, GEX, IDMF, and ACGSF) using both Johansen co-integration and ARDL Bounds test. Although government expenditure (GEX) to agricultural sector was found to be statistically insignificant which recommend that government should increase agriculture capital expenditure to ensure that its contribution is significant. Consequently, custom duties on fertilizer (IDMF) was found to be negatively signed and significant indicating a negative impact on agricultural output. This demands that the policy makers should be prudent in the use of fiscal policy instrument in achieving its desired objective.

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