scholarly journals The Impact of Logistics on Marketing Margin in the Philippine Agricultural Sector

2022 ◽  
Vol 3 (2) ◽  
pp. 300-317
Author(s):  
Angelica Anne Quintana ◽  
Micaella Chong ◽  
Ma. Lexa Cordova ◽  
Peter Jeff Camaro,M.A.
Keyword(s):  
Supply Chain ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Ordinary Least Squares ◽  
The Philippines ◽  
Fundamental Aspect ◽  
Logistics Industry ◽  
Retail Prices ◽  
Annual Frequency ◽  
The Impact

The logistics industry is a fundamental aspect of fulfilling the supply chain in agriculture. Agricultural farmers in the Philippines often use the services of middlemen to transact on their behalf since these intermediaries possess better information, and engaging in logistics affects the marketing margin in the process. Frequently, logistics costs cause marketing margin to increase, leading to high farm-retail prices of agricultural goods. This paper examines if the existence of middlemen improves farmers' wages even with the additional logistics costs incurred. The variables' secondary data were all gathered from the Philippine Statistics Authority, and its annual frequency spanned the period of 1995 to 2019. Using Ordinary Least Squares (OLS) regression analysis procedure and diagnostic tests prove that logistics cost negatively affects marketing margin while farmers' wages have a positive relationship. The findings of this study address the presence of a longer supply chain, asymmetric information, technology, storage and facilities, and added logistics costs in agricultural transactions. Although middlemen have greater market power than the farmers, these mediators are still affected by the changes in the logistics costs since it is unavoidable for them to reduce the price due to the need to competitively sell the commodities.

scholarly journals The Impact of Government Debt on the Economic Growth of Ghana: A Time Series Analysis from 1990-2015

2015 ◽  
Vol 2 (5) ◽  
pp. 31-39 ◽  
Author(s):  
Lucy Anning ◽  
Collins Frimpong Ofori ◽  
Ernest Kwame Affum
Keyword(s):  
Economic Growth ◽  
World Bank ◽  
Negative Relationship ◽  
Secondary Data ◽  
Government Debt ◽  
Ordinary Least Squares ◽  
Poor Countries ◽  
High Dependency ◽  
Heavily Indebted Poor Countries ◽  
The Impact

In this study we investigate the impact of government debt on the economic growth of Ghana adopting the methodology of the simple Ordinary Least Squares with data spanning from 1990 to 2015. Ghana has unfortunately found itself in the tragic situation of high external government debt which has led to high dependency on aid and other loans to support its development. These aids and loans have seen the debt of Ghana rise steadily over the years. As a result of the Heavily-Indebted Poor Countries (HIPC) which was presented by the IMF and World Bank in 1999, Ghana was judged to be a HIPC with unsustainable debt enabling the country to benefit from debt relief. We investigate the impact of government debt (both external and domestic) by testing three related models at the domestic and external levels including the general growth of the Ghanaian economy. In constructing our dataset, we build on the study of many scholars including a substantial amount of new materials from both primary and secondary data sources being Ministry of Finance (MOF) or Treasury Latest actual data: Government Finance Statistics Manual (GFSM), Ghana and World Bank. The research findings revealed that there is a negative relationship between debt (domestic and external) and growth in the economy of Ghana and recommend among others that government debt borrowing should be discouraged while increasing the revenue base through tax reform programs is encouraged.

scholarly journals IMPACT OF KVK IN DOUBLING FARMERS INCOME IN SITAPUR DISTRICT OF UTTAR PRADESH

2021 ◽  
Vol 8 (9) ◽  
pp. 92-105
Author(s):  
Ritesh Kumar Yadav ◽  
Jahanara Jahanara
Keyword(s):  
Agricultural Sector ◽  
Uttar Pradesh ◽  
Secondary Data ◽  
Learning By Doing ◽  
Primary Data ◽  
Technology Generation ◽  
Farming Community ◽  
Medium Level ◽  
High Level ◽  
The Impact

More than half of Indian population were engaged in agricultural sector but the available technology doesn’t ensure food security of the country. Hence, to diffuse new agricultural invention and innovation in the farming community, there arises a need for effective medium for transfer of technology. Thus, KVK bridges the gap between the technology generation and dissemination. The present study was proposed to understand the impact of KVK in doubling farmers income to formulate suitable programmes. For the study, descriptive research design was adopted. 120 respondents from Biswan taluk of Sitapur district of Uttar Pradesh were selected as respondents. Primary data collected from respondents and secondary data from available literatures. The findings revealed that majority of the respondents were middle aged, illiterate, upto 5 members in their family, medium level of annual income, possesses their own land, agriculture as their main occupation, medium level of mass media exposure, office bearer in one organization, high level of extension contact. Meanwhile, more than half of the respondents had reported medium level of impact towards the activities carried out by KVK, beneficiary selection is not unbiased is a major constraint suggested that maximum emphasis should be given on learning by doing.

scholarly journals Impactos da Covid-19 na produção e comercialização de alimentos em Brasília-DF: desafios para os assentados/acampados da reforma agrária

GeoTextos ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Juliana Luiza Barbosa Dias ◽  
Juscelino Eudâmidas Bezerra
Keyword(s):  
Rural Areas ◽  
Food Production ◽  
Food Systems ◽  
Agricultural Sector ◽  
Agrarian Reform ◽  
Secondary Data ◽  
Primary Data ◽  
Direct Sales ◽  
On Line ◽  
The Impact

<p>O setor agrícola foi severamente afetado pela pandemia de Covid-19, gerando incertezas sobre a produção e a distribuição de alimentos, o que afetou diretamente o trabalho de milhões de agricultores. Este artigo visa a analisar o impacto da pandemia na produção de alimentos em Brasília-DF, especialmente entre os agricultores assentados/acampados da reforma agrária. Para a análise, foram utilizados dados primários obtidos através de um questionário on-line destinado ao público da reforma agrária em áreas rurais das regiões administrativas da capital federal, além de dados secundários, disponibilizados por instituições públicas. Os resultados mostraram que o impacto da pandemia foi intenso entre os agricultores, deixando-os extremamente vulneráveis, principalmente nos meses iniciais da pandemia. Como forma de enfretamento dos efeitos da pandemia, os trabalhadores adotaram quatro medidas específicas: a utilização do serviço de entrega delivery; a venda de cestas agroecológicas; a participação em redes solidárias e a venda direta em feira de reforma agrária. Essas novas dinâmicas de comercialização têm transformado as formas de interação campo-cidade ao demandar estratégias diferenciadas para alcançar os consumidores finais, contribuindo para amenizar os efeitos disruptivos da pandemia nos sistemas alimentares locais.</p><p><span>Abstract</span></p><p>IMPACTS OF COVID-19 ON FOOD PRODUCTION AND COMMERCIALIZATION IN BRASILIA-DF: CHALLENGES FOR AGRARIAN REFORM SETTLERS/CAMPED</p><p>The agricultural sector was severely affected by the pandemic of Covid-19, genera- ting uncertainties about food production and distribution, which directly affected the work of millions of farmers. This article aims to analyze the impact of the pandemic on food production in Brasília-DF, especially among farmers settled in agrarian reform settlements. The analysis used primary data obtained through an on-line questionnaire addressed to the public of agrarian reform in rural areas of the administrative regions of the federal capital, as well as secondary data made available by public institutions. The results showed that the impact of the pandemic was intense among farmers, leaving them extremely vulnerable, especially in the initial months of the pandemic. As a way of countering the effects of the pandemic, workers have adopted four specific measures: the use of delivery services; the salof agro-ecological baskets; participation in solidarity networks; and direct sales at agrarian reform fairs. These new commercialization dynamics have transformed the forms of countryside-city interaction by demanding different strategies to reach final consumers, contributing to mitigate the pandemic’s disruptive effects on local food systems.</p>

Doing good across organizational boundaries

2018 ◽  
Vol 38 (12) ◽  
pp. 2389-2412 ◽  
Author(s):  
Hugo K.S. Lam
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Financial Risk ◽  
Theoretical Perspective ◽  
Secondary Data ◽  
Content Type ◽  
Signalling Theory ◽  
The Impact ◽  
Moderating Role

Purpose The purpose of this paper is to theoretically hypothesise and empirically test the impact of sustainable supply chain practices (SSCPs) on firms’ financial risk. Design/methodology/approach This research adopts signalling theory to explain the signalling role of SSCPs and the moderating role of the signalling environment in terms of supply chain characteristics. It collects and combines longitudinal secondary data from multiple sources to test the direct impact of SSCPs on firms’ financial risk and the moderating role of supply chain complexity and efficiency. It conducts various additional tests to check the robustness of the findings and to account for alternative explanations. Findings This research shows that SSCPs help firms reduce financial risk but do not affect their returns. Moreover, the risk reduction of SSCPs is greater for firms with more complex and efficient supply chains. The findings are robust to alternative variable measurements and analysing strategies. Research limitations/implications This research reveals the role of SSCPs in reducing financial risk, urging researchers to pay more attention to the financial risk implications of supply chain practices in general and SSCPs in particular. Practical implications This research encourages firms to engage in SSCPs to reduce financial risk and enables them to assess the urgency of their SSCPs investments in view of the complexity and efficiency of their supply chains. Originality/value This is the first research examining the impact of SSCPs on financial risk, based on longitudinal secondary data and signalling theory. The empirical evidence documented and the theoretical perspective adopted offer important implications for future practice and research on SSCPs.

The Social Issue in the Company

2019 ◽  
Vol 5 (1) ◽  
pp. 37-43
Author(s):  
Abdelatif Kerzabi ◽  
Nawal Chemma
Keyword(s):  
World Bank ◽  
Negative Relationship ◽  
Secondary Data ◽  
Government Debt ◽  
Ordinary Least Squares ◽  
Poor Countries ◽  
High Dependency ◽  
Heavily Indebted Poor Countries ◽  
Research Findings ◽  
The Impact

In this study, we investigate the impact of government debt on the economic growth of Ghana adopting the methodology of the simple Ordinary Least Squares with data spanning from 1990 to 2015. Ghana has unfortunately found itself in the tragic situation of high external government debt which has led to high dependency on aid and other loans to support its development. These aids and loans have seen the debt of Ghana rise steadily over the years. As a result of the Heavily-Indebted Poor Countries (HIPC) which was presented by the IMF and World Bank in 1999, Ghana was judged to be a HIPC with unsustainable debt enabling the country to benefit from debt relief. We investigate the impact of government debt (both external and domestic) by testing three related models at the domestic and external levels including the general growth of the Ghanaian economy. In constructing our dataset, we build on the study of many scholars including a substantial amount of new materials from both primary and secondary data sources being Ministry of Finance (MOF) or Treasury Latest actual data: Government Finance Statistics Manual (GFSM), Ghana and World Bank. The research findings revealed that there is a negative relationship between debt (domestic and external) and growth in the economy of Ghana and recommend among others that government debt borrowing should be discouraged while increasing the revenue base through tax reform programs is encouraged.

scholarly journals Wellbeing during the COVID-19 pandemic in the UK: a secondary data analysis

2021 ◽  
Author(s):  
Jen Murphy ◽  
Mark Elliot
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
National Level ◽  
Secondary Data ◽  
Well Being ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
The Uk ◽  
Survey Responses ◽  
The Impact

Introduction: In March 2020 in response to the COVID pandemic the UK government declared a national lockdown where citizens were required to stay at home. The impact of this lockdown on levels of well-being has been a source of concern for citizens and mental health professionals.Objectives: We investigated the trajectory of well-being over the course of the ?first wave and sought to determine whether the change in well-being is distributed equally across the population. Speci?fically we investigated pre-existing medical conditions, social isolation, ?financial stress and deprivation as a predictor for well-being and whether there were community level characteristics which protect against poorer well-being.Methods: Using online survey responses from the COVID19 modules of Understanding society, we linked 8,379 English cases across ?five waves of data collection to location based deprivation statistics. We used ordinary least squares regression to estimate the association between deprivation, pre-existing conditions and socio-demographic factors and the change in well-being scores over time, as measured by the GHQ-12 questionnaire.Results: A decline in well-being was observed at the beginning of the fi?rst lock down period at the beginning of March 2020. This was matched with a corresponding recovery between April and July as restrictions were gradually lifted. There was no association between the decline and deprivation, nor between deprivation and recovery. The strongest predictor of well-being during the lockdown, was the baseline score, with the counterintuitive finding that for those will pre-existing poor well-being, the impact of pandemic restrictions on mental health were minimal, but for those who had previously felt well, the restrictions and the impact of the pandemic on well-being were much greater.Conclusion: These data show no evidence of a social gradient in well-being related to the pandemic. In fact, wellbeing was shown to be highly elastic in this period indicating a national level of resilience which cut across the usually observed health inequalities.

scholarly journals Impact of agricultural sector investment development on national economic output

2021 ◽  
Vol 26 ◽  
pp. 466-474
Author(s):  
Eka Sastra ◽  
Didin S. Damanhuri ◽  
Noer Azam Achsani ◽  
Ahmad Erani Yustika
Keyword(s):  
Agricultural Sector ◽  
Secondary Data ◽  
Rent Seeking ◽  
Food Crop ◽  
Investment Performance ◽  
Economic Output ◽  
Relative Contribution ◽  
And Performance ◽  
The Impact ◽  
Very High

This study aims to capture the investment performance of the agricultural sector in capital formation and the incremental capital output ratio (ICOR) and its relative contribution to the national economy in the 2011-2020 period. ICOR research method is the ratio of changes in output due to changes in capital as an indicator to measure investment performance. The research data used is secondary data obtained from the Central Statistics Agency (BPS). The results of the study show that the investment performance of the food crop agricultural sector has fluctuated throughout 2011-2020. The impact of the policy on the agricultural sector was generally positive, but in that vulnerable year, investment leakage was found that led to efficiency. The cause of the leakage is the behaviour of rent-seeking which is reflected in the time leading up to the elections, namely in 2014 and 2018 with the leakage rate of the investment budget in that year being very high, namely 74.09% and 84.50%, respectively. The year 2012 was marked by an ICOR value close to 0 (zero) accompanied by the growth and performance of the agri-food sector of 12.80%. In 2013 and 2015 the performance of the food crop sector contributed to the economic growth of the food crop sector by 8.65% and 15.78%. Unfortunately, the potential for loss of income in that year was very high, namely Rp. 8.16 trillion and Rp. 17.45 trillion, respectively. The best period for the performance of the food crop agricultural sector occurred in the rent-seeking behaviour that occurred in 2 motives, namely political and economic motives. Political motives occur through the mechanism of the backing system and lobbying. The economic motive is caused by the emergence of transaction costs for the distribution of subsidized fertilizers so that it leads to an increase in the HET for subsidized fertilizers.

scholarly journals Empirically Modeling the Energy Implications of Cool Roof Retrofits

2020 ◽  
Vol 6 ◽  
Author(s):  
Michael Blackhurst
Keyword(s):  
Energy Use ◽  
Secondary Data ◽  
Theoretical Models ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Net Benefit ◽  
Significance Level ◽  
Treated Sample ◽  
Individual Household ◽  
The Impact

The energy effects of roofs have primarily been studied using theoretical models. However, empirical methods are needed for validation or when not all drivers of energy change can be observed. This study used mixed empirical techniques to estimate the impact of whitening existing roofs. Two years of hourly site cooling energy use were collected for 114 homes in Austin, TX. Seven properties selected to have their roofs coated white at no charge, imitating incentive policies. The empirical results are mixed, primarily limited by the small treated sample size. Individual household comparisons generally demonstrate statistically significant impacts of whitening, ranging from 14% to 49.2% reductions in daytime site cooling energy use and a 9.7% increase to a 40.3% decrease in nighttime site cooling energy use. Ordinary least squares regression estimates statistically significant mean daytime reductions of 9.7% but no significant nighttime effects. However, clustering the standard errors by household substantially reduces the significance level. Tweedie regression, which better accommodates slightly inflated zeros in the sample, demonstrates significant daytime and nighttime reductions of 14.3% and 5.5%, respectively. A life-cycle costs analysis using a mix of primary and secondary data explored the secondary benefit of delaying roof replacement resulting from the added protection of the coating material. Absent this delay, whitening would pay for itself in only 41% of simulations with a median net cost of $310 and simple payback of 22 years. Including a benefit to delay roof replacement, the median payback period is 1 year and the median net benefit is $310 across a range of assumptions. However, the benefits of whitening are only robust for older roofs and longer service lives for the coating. For roofs older than 10 years of age, most simulations reflect net benefits if the coating lasts at least 5 years.

scholarly journals ​​Indian Agricultural Sector Present and Post Pandemic Condition

2021 ◽  
Author(s):  
R.S. Upendra ◽  
Mohammed Riyaz Ahmed ◽  
T. Nitesh Kumar ◽  
S.R. Prithviraj ◽  
A. Shahid Khan
Keyword(s):  
Supply Chain ◽  
Agricultural Sector ◽  
New Technologies ◽  
New Normal ◽  
Agriculture Sector ◽  
Normal Life ◽  
Moderate Growth ◽  
Global Pandemic ◽  
Smart Agriculture ◽  
The Impact

The COVID-19 influenced global pandemic severely affected the market of small industries and had a deep impact on the agri economic of the farmer community across the globe. The main objective of this article is to emphasize on the influence of global pandemic with agriculture and food sector. The lockdown made ambivalent in agriculture, the point of concern is that, at the first phase of lockdown in India, Rabi crops are at harvest stage, due to the lockdown the breakdown of supply chain has been interrupted and left a noticeable impact on the marketability of agriculture crops even though it has registered moderate growth in terms of yield. At present globally mankind is experiencing the waves of pandemic and it caused significant loss to the yield of crops. If the situation continuous, the world is going to experience the hunger deaths. To overcome the issue discussed, agriculture sector needs to adapt new technologies, right from the cultivation, harvest and supply chain with marketing to bring the new normal life back to mankind. This is the right time to have transition from conventional agri practices to the technology invented smart agriculture. Indian agriculture sector should adapt and the former community need to be educated in applying ICT based smart agriculture practices such as utilization of automated machinery, AI (artificial intelligence) enabled cultivation methods, Internet of Things (IoT) and Wireless Sensor Networks based monitoring and maintenance of the agriculture practice The application ICTs methods in agriculture practices facilitate to choose good quality seeds, optimum quantity of manures required for the enhanced crop yield, and direct monetary of the agriculture firm in order to show resilience to the global pandemic impact on agriculture sector. In the present review authors emphasised on various smart agriculture methods and their importance in promoting the agriculture practice as profitable venture and also how this ICT methods helps the sector to overcome the impact of global pandemic and to bring back the new normal life.

scholarly journals Impact of Agricultural Financing on Nigeria Economy

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ayodele E. Ademola
Keyword(s):  
Economic Growth ◽  
Financial Institutions ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square ◽  
Macroeconomic Policies ◽  
Agricultural Finance ◽  
Ordinary Least Square ◽  
The Impact

The importance of agricultural surplus for the structural transformation accompanying economic growth is often addressed by development economists. In view of this, the study empirically assesses the impact of agricultural finance on the growth of Nigerian economy. This paper employed secondary data and econometric techniques of Ordinary Least Square (OLS) of multiple regression estimates. The result of the model used suggests that the productivity of investment will be more appropriately financed with resources administered by the commercial and specialized financial institutions. And also, that there are an urgent and sincere needs to expand the credit size to the agricultural sector in order to enhance the productivity growth of the sector. It is recommended that maintenance of credible macroeconomic policies that is pro-investment in overhauling the Agricultural Sector and debt-equity swap option are necessary for an agricultural-led economic growth.

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