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Yuansheng Jiang
College of Economics, Sichuan Agricultural University, Chengdu, China

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Earlycite article
Published: 17 August 2021 in Agricultural Finance Review
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Purpose This paper aims to examine the determinants of rural dwellers financial literacy in Ghana. Design/methodology/approach A cross-sectional primary data set was used to estimate the factors influencing rural farm households' financial literacy using the IV-Tobit model. Findings The findings reveal that most rural residents are financially illiterate. The econometrics model results depicted that respondents' socioeconomic and demographic characteristics such as gender, income, age and education significantly affect financial literacy. Again, respondents who are risk seekers and listen or watch education programs are more likely to be financially literate. Research limitations/implications The paper examined the determinants of rural dwellers financial literacy in four regions in Ghana. Future research should consider all or many regions for an informed generalization of findings. Practical implications This paper provides evidence that rural dwellers are financially illiterate and it would require the policymakers or non-governmental organizations (NGOs) to establish a village or community group that comprises a wide range of bankers and government officials to help rural dwellers acquire some financial skills. Also, the positive relationship between media (whether respondent watches or listens to educational programs) and financial literacy implies that policymakers should focus on improving individuals' financial knowledge through training programs and utilize the media as a channel to propagate financial education to the public. Originality/value Although previous studies have examined the determinants of financial literacy, little is known in developing countries and, in particular, rural communities. The authors fill this gap by contributing to the scanty existing literature in developing countries in several ways. First, this is the first study to examine the financial literacy level of rural dwellers in Ghana. Second, to not undermine the credibility of the estimation results, this study addresses the potential endogeneity issue, which other researchers have not adequately recognized. Finally, the study expands the scant literature on the subject and provides critical policy implications that will help policymakers formulate financial market policies that will contribute to rural dwellers financial literacy enhancement.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Salina Adhikari; Caven Adu Gyamfi; Isaac Asare. Financial literacy and its determinants: the case of rural farm households in Ghana. Agricultural Finance Review 2021, ahead-of-p, 1 .

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang, Salina Adhikari, Caven Adu Gyamfi, Isaac Asare. Financial literacy and its determinants: the case of rural farm households in Ghana. Agricultural Finance Review. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Salina Adhikari; Caven Adu Gyamfi; Isaac Asare. 2021. "Financial literacy and its determinants: the case of rural farm households in Ghana." Agricultural Finance Review ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 10 June 2021 in Sustainable Production and Consumption
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This study examines the determinants of the choice of cooking energy among households and further focuses on the quantitative impact of clean cooking energy consumption on rural household members’ health status using survey data from Ghana. The multivariate probit model was used to analyses the determinants of the choice of cooking energy while the endogenous switching regression model was employed to examine the impacts of clean cooking energy consumption on household members’ health. The empirical results from the multivariate probit model depicted that the choice of cooking energy is positively and significantly influenced by household/householder education, access to the Internet, off-farm work, non-fixed assets and credit, and a household having a member residing in an urban area. Regarding the endogenous switching regression model findings, it was revealed that clean cooking energy consumption can help increase the share of healthy household members by 19.11%. Finally, compared with males, the impact of clean cooking energy consumption on the share of healthy female members is more prominent. Our findings provide policy implications to improve rural energy sustainability development.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Bismark Addai; Dennis Asante; Dan Liu; Zhao Ding. Determinants of household choice of cooking energy and the effect of clean cooking energy consumption on household members’ health status: The case of rural Ghana. Sustainable Production and Consumption 2021, 28, 484 -495.

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang, Bismark Addai, Dennis Asante, Dan Liu, Zhao Ding. Determinants of household choice of cooking energy and the effect of clean cooking energy consumption on household members’ health status: The case of rural Ghana. Sustainable Production and Consumption. 2021; 28 ():484-495.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Bismark Addai; Dennis Asante; Dan Liu; Zhao Ding. 2021. "Determinants of household choice of cooking energy and the effect of clean cooking energy consumption on household members’ health status: The case of rural Ghana." Sustainable Production and Consumption 28, no. : 484-495.

Journal article
Published: 13 May 2021 in Technology in Society
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Considering the significant impact of climate change on major staple food crops in Nepal, this study aims to estimate the influence of climatic factors (i.e., CO2 emissions, average temperature, and average precipitation) and technological factors (i.e., fertiliser consumption and improved seeds) on rice production in Nepal from 1990 to 2016 using the autoregressive distributed lag (ARDL) approach. While controlling for cultivated rice areas, agricultural credit variables are likely other essential rice production factors. This study reveals a long-run cointegration connection among the variables. The ARDL results indicate that CO2 emissions decreased rice production by 0.13%, while average temperature and average precipitation improved rice production by 0.72% and 0.01%, respectively, in the long run. Further results show that cultivated rice area, fertiliser consumption, and agricultural credit enhanced rice production by 2.26%, 0.05%, and 0.02%, respectively, in the long run. Unidirectional causality among cultivated areas, fertilisers, seeds, temperature, CO2 emissions, and rice production was confirmed. Additionally, impulse response and variance decomposition verified the substantial impacts of climate and technological factors on rice production and variations. This study empirically confirmed that the use of agricultural technology (i.e. fertiliser consumption) significantly enhanced rice production; therefore, this study suggests that the Nepalese government should expand subsidised fertilisers so as to increase rice production and improve the income of farmers. In addition, agricultural credit plays a vital role in enhancing rice production in Nepal; to cope with climate change, the study also suggests that there is a need to launch carbon/weather financing schemes through financial intuitions in the country.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Fayyaz Ahmad; Salina Adhikari; Qurat Ul Ain. Assessing the impacts of climatic and technological factors on rice production: Empirical evidence from Nepal. Technology in Society 2021, 66, 101607 .

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Fayyaz Ahmad, Salina Adhikari, Qurat Ul Ain. Assessing the impacts of climatic and technological factors on rice production: Empirical evidence from Nepal. Technology in Society. 2021; 66 ():101607.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Fayyaz Ahmad; Salina Adhikari; Qurat Ul Ain. 2021. "Assessing the impacts of climatic and technological factors on rice production: Empirical evidence from Nepal." Technology in Society 66, no. : 101607.

Journal article
Published: 23 April 2021 in Technology in Society
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The impact of internet use on food and nutrition security of rural households in Ghana is investigated in this study. To offset the potential challenge of selection bias, an endogenous treatment regression (ETR) technique is utilized for the analysis.. The results reveal that Internet use can improve smallholder farmers’ food and nutrition security. Internet usage has a profound positive effect on the food security of households with off-farm work and larger size of landholding. Our results suggest the intensification of efforts to enhance Internet connectivity across the nation by the government and policymakers is essential since it can go a long way to affect household welfare. The findings also highlight the importance of information and communication technologies (ICTs), the Internet, patronization to improve rural household welfare.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Dennis Asante; Bismark Addai; Samuel Akuamoah-Boateng; Prince Fosu. Internet use and farm households food and nutrition security nexus: The case of rural Ghana. Technology in Society 2021, 65, 101592 .

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang, Dennis Asante, Bismark Addai, Samuel Akuamoah-Boateng, Prince Fosu. Internet use and farm households food and nutrition security nexus: The case of rural Ghana. Technology in Society. 2021; 65 ():101592.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Dennis Asante; Bismark Addai; Samuel Akuamoah-Boateng; Prince Fosu. 2021. "Internet use and farm households food and nutrition security nexus: The case of rural Ghana." Technology in Society 65, no. : 101592.

Original article
Published: 23 March 2021 in Earth Systems and Environment
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This empirical work aims to investigate the long-run impact of climatic factors (i.e., CO2 emissions, precipitation, and temperature), and non-climatic factors (i.e., cultivated area, fertilizer consumption, and rural labor force) on rice production in selected major Asian rice-producing countries over the period 1961–2016. The results of the heterogeneous panel cointegration test show the existence of a long-term equilibrium relationship among the variables. The results of DOLS reveal that climatic factors such as CO2 emissions and temperature significantly reduced rice production in the long-run, while precipitation increased rice production in the long-run. Further findings show that non-climatic factors including cultivated area, fertilizer consumption, and rural labor force significantly enhanced rice production in the long run. It is evident from the findings that precipitation and production factors such as cultivated area, fertilizer consumption, and rural labor force played a vital role in increasing rice production and secure food security in major Asian rice-producing countries. Based on the present findings, this study suggests that to reduce the adverse effects of climate change and ensure food security, there is a need to improve adaptation strategies.

ACS Style

Abbas Ali Chandio; Korhan K. Gokmenoglu; Munir Ahmad; Yuansheng Jiang. Towards Sustainable Rice Production in Asia: The Role of Climatic Factors. Earth Systems and Environment 2021, 1 -14.

AMA Style

Abbas Ali Chandio, Korhan K. Gokmenoglu, Munir Ahmad, Yuansheng Jiang. Towards Sustainable Rice Production in Asia: The Role of Climatic Factors. Earth Systems and Environment. 2021; ():1-14.

Chicago/Turabian Style

Abbas Ali Chandio; Korhan K. Gokmenoglu; Munir Ahmad; Yuansheng Jiang. 2021. "Towards Sustainable Rice Production in Asia: The Role of Climatic Factors." Earth Systems and Environment , no. : 1-14.

Journal article
Published: 20 January 2021 in Sustainability
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The emergence of agricultural cooperatives is extensively viewed as a necessary institutional arrangement that can help farmers in developing countries overcome the constraints that impede them from improving sustainable agricultural production and acquiring new marketing opportunities. Therefore, this study examines the determinants of cooperative membership and its impact on fish farm household income, using data collected from two regions in Ghana. An endogenous switching regression (ESR) model is utilized to address the potential sample selection bias issue. The results show that household heads’ decisions to join cooperatives are affected by their access to credit, off-farm work, education level, and peer influence. Cooperative membership can increase both household and farm income by 28.54% and 34.75%, respectively. Moreover, we show that different groups of households’ cooperative impacts on farm and household income are heterogeneous. Our findings highlight the importance of cooperative patronization and provide implications that can improve households’ welfare.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Bismark Addai; Zhao Ding; Abbas Chandio; Prince Fosu; Dennis Asante; Anthony Siaw; Frank Danquah; Bright Korankye; Gideon Ntim-Amo; Stephen Ansah; Wonder Agbenyo. The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana. Sustainability 2021, 13, 1059 .

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang, Bismark Addai, Zhao Ding, Abbas Chandio, Prince Fosu, Dennis Asante, Anthony Siaw, Frank Danquah, Bright Korankye, Gideon Ntim-Amo, Stephen Ansah, Wonder Agbenyo. The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana. Sustainability. 2021; 13 (3):1059.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Bismark Addai; Zhao Ding; Abbas Chandio; Prince Fosu; Dennis Asante; Anthony Siaw; Frank Danquah; Bright Korankye; Gideon Ntim-Amo; Stephen Ansah; Wonder Agbenyo. 2021. "The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana." Sustainability 13, no. 3: 1059.

Journal article
Published: 29 December 2020 in Marine Policy
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Information and communication and technologies (ICTs) have contributed to national development in recent years. However, less is known on how ICT could help improve productivity in the aquaculture field. This study investigates how the use of the Internet can help improve fish farms' productivity. More specifically, using survey data from two regions in Ghana and the econometric model approach, this study explored the quantitative impacts of Internet use on fish farm productivity. The results are as follows. First, the study revealed that Internet use is affected by household total land holdings, access to credit and off-farm employment, education, being a member of an association and how household perceives the use of the internet and household head age. Second, regarding the quantitative relationship, Internet use can help increase farm productivity. Compared with males, the impact of female heads’ Internet use on farm productivity is more prominent. Finally, the productivity effect of Internet use for farmers with no access to off-farm work is greater than that for those with off-farm work access. Our findings provide policy implications to improve farm household Internet use and fish farms production.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Xiaoshi Zhou; Bismark Addai; Kwabena Nkansah Darfor; Selorm Akaba; Prince Fosu. Increasing Ghanaian fish farms’ productivity: Does the use of the internet matter? Marine Policy 2020, 125, 104385 .

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang, Xiaoshi Zhou, Bismark Addai, Kwabena Nkansah Darfor, Selorm Akaba, Prince Fosu. Increasing Ghanaian fish farms’ productivity: Does the use of the internet matter? Marine Policy. 2020; 125 ():104385.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Xiaoshi Zhou; Bismark Addai; Kwabena Nkansah Darfor; Selorm Akaba; Prince Fosu. 2020. "Increasing Ghanaian fish farms’ productivity: Does the use of the internet matter?" Marine Policy 125, no. : 104385.

Research article
Published: 18 November 2020 in Environmental Science and Pollution Research
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Compared with developed nations, developing countries are more vulnerable to climate change and variability. In this study, a coping and adaptation strategies (CCCAs) index, data envelopment analysis (DEA), and fractional regression model (FRM) are used to explore the impact of farmers’ CCCAs on technical efficiency (TE) among goat farmers in Ghana. Using survey data collected from goat farmers in the northern part of Ghana, the results reveal the following: first, most of the farmers were inefficient in their production. Thus, out of the 124 goat farmers, only 13 (10.5%), 3 (2.4%), and 4 (3.2%) were efficient under variable return to scale (VRS), constant returns to scale (CRS), and scale efficiency (SE), respectively. Second, regarding a quantitative relationship, CCCAs can help increase farmer’ efficiency. Again CCCAs impact on female farmers’ TE was profound than their counterparts. Finally, CCCAs have heterogeneous impacts on goat farmers in different groups. Our findings provide policy implications to improve CCCAs and enhance the goat farmers’ TE.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang. The impact of climate change coping and adaptation strategies on livestock farmers’ technical efficiency: the case of rural Ghana. Environmental Science and Pollution Research 2020, 28, 14386 -14400.

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang. The impact of climate change coping and adaptation strategies on livestock farmers’ technical efficiency: the case of rural Ghana. Environmental Science and Pollution Research. 2020; 28 (12):14386-14400.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang. 2020. "The impact of climate change coping and adaptation strategies on livestock farmers’ technical efficiency: the case of rural Ghana." Environmental Science and Pollution Research 28, no. 12: 14386-14400.

Journal article
Published: 28 June 2020 in Sustainability
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This study attempts to investigate the short-run and long-run impact of formal credit (CR) and climate change (CC, via CO2 emissions) on agricultural production (AP) in Pakistan. In addition, other imperative control variables included in this study comprise technology factors (tractors (TRs) and tube wells (TWs), energy consumption (EC), and labor force (LF). This study used annual data covering the period 1983–2016. The autoregressive distributed lag (ARDL) approach is applied to explore the cointegration between the underlying variables and used the granger causality test under the vector error correction model (VECM) context to determine the direction of causality among the variables. The findings of the ARDL bounds-testing approach suggest that there is a long-term relationship among formal credit, climate change (CO2 emissions), technology factors (tractors and tube wells), energy consumption, labor force, and agricultural production. The empirical results reveal that formal credit, technology use (tractors), and labor force have a positive and significant impact on agricultural production in both the short-run and long-run. CO2 emissions have a positive impact on agricultural production but are not significant in either case. Finally, a unidirectional relationship is established from formal credit to agricultural production; labor force to agricultural production; and electricity consumption and technology factors (tractors and tube wells) to CO2 emissions. The recent study claims that formal institutions should guarantee the redeployment of their services/amenities to those who call for them acutely, with the purpose of boosting their approach to monetary credit facilities and empower farmers to further the resilience that will capitalize on post-fruitage enrichments. Finally, considering that climatic change is a widespread fact with regional community trajectories, perhaps the global community may provide reassurance for loaning to smallholder agriculturalists through central and commercial banks by protecting the moneys that banks lend to the agriculturalists towards supporting climatic change espousal strategies.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rauf; Fayyaz Ahmad; Waqas Amin; Khurram Shehzad. Assessment of Formal Credit and Climate Change Impact on Agricultural Production in Pakistan: A Time Series ARDL Modeling Approach. Sustainability 2020, 12, 5241 .

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Abdul Rauf, Fayyaz Ahmad, Waqas Amin, Khurram Shehzad. Assessment of Formal Credit and Climate Change Impact on Agricultural Production in Pakistan: A Time Series ARDL Modeling Approach. Sustainability. 2020; 12 (13):5241.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rauf; Fayyaz Ahmad; Waqas Amin; Khurram Shehzad. 2020. "Assessment of Formal Credit and Climate Change Impact on Agricultural Production in Pakistan: A Time Series ARDL Modeling Approach." Sustainability 12, no. 13: 5241.

Research article
Published: 30 April 2020 in Environmental Science and Pollution Research
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In this study, we attempt to investigate the relationship between electricity consumption, foreign direct investment (FDI) and economic progress in Pakistan during the period from 1997 to 2017. We applied the unit root tests to cointegration approach with the vector error correction model (VECM) approach. We also authenticated the robustness of the outcomes with the help of the regression methods. The main findings indicated that variables are cointegrated in the long-run and the VECM approach verified long-run causal links among the variables. The short-run causality is running from electricity consumption and economic development to FDI. The results remained uniform under the fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and the autoregressive distributed lag (ARDL) estimations. Correspondingly, these three methods ratified that there is a significant long-run linkage between electricity consumption and the economic development of Pakistan. Additionally, the diagnostic assessments fixed that results are free from correlations and models are stable. Thus, based on these results, electricity generation and consumption, as well as FDI, is crucial for the economic progress of Pakistan. The priority should be given to promote the optimum use of available resources to generate energy, and FDI in the energy sector should be attracted through various incentives to support the economic advancement of Pakistan. Renewable energy resources are recyclable springs that can cut the intensity of carbon emissions and encourage to the promising magnitude of FDI and also certify sustainable and economic progression of Pakistan.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Fayyaz Ahmad; Waqar Akram; Sajjad Ali; Abdul Rauf. Investigating the long-run interaction between electricity consumption, foreign investment, and economic progress in Pakistan: evidence from VECM approach. Environmental Science and Pollution Research 2020, 27, 25664 -25674.

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Fayyaz Ahmad, Waqar Akram, Sajjad Ali, Abdul Rauf. Investigating the long-run interaction between electricity consumption, foreign investment, and economic progress in Pakistan: evidence from VECM approach. Environmental Science and Pollution Research. 2020; 27 (20):25664-25674.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Fayyaz Ahmad; Waqar Akram; Sajjad Ali; Abdul Rauf. 2020. "Investigating the long-run interaction between electricity consumption, foreign investment, and economic progress in Pakistan: evidence from VECM approach." Environmental Science and Pollution Research 27, no. 20: 25664-25674.

Journal article
Published: 21 April 2020 in Energy Reports
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This study examined the impact of credit received on rural household clean cooking energy consumption. The study pays more attention to clean energies, such as liquefied petroleum gas (LPG) and kerosene. Due to the endogenous issue of credit, we employed an instrumental variable approach (IV-Probit and IV-Tobit). We analyzed the survey data collected from four regions, Savannah, Bono East, Eastern and central, in Ghana. The result of the econometrics model depicted that household head relationship with an individual in the city, education level, access to off-farm employment, age, household size, and amount of credit received influences the household’s probability of consuming and spending on clean cooking energies Concerning the amount of credit received impact on clean cooking energy expenditure, rural households in the eastern region compared to their counterparts were more pronounced. Our findings explored the importance of credit on energy consumption and provided policy implications to enhance clean cooking energy consumption.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Bismark Ameyaw; Frank Osei Danquah; Monica Owusu Acheampong. The impact of credit accessibility on rural households clean cooking energy consumption: The case of Ghana. Energy Reports 2020, 6, 974 -983.

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang, Bismark Ameyaw, Frank Osei Danquah, Monica Owusu Acheampong. The impact of credit accessibility on rural households clean cooking energy consumption: The case of Ghana. Energy Reports. 2020; 6 ():974-983.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Bismark Ameyaw; Frank Osei Danquah; Monica Owusu Acheampong. 2020. "The impact of credit accessibility on rural households clean cooking energy consumption: The case of Ghana." Energy Reports 6, no. : 974-983.

Journal article
Published: 17 April 2020 in Sustainability
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This study analyzed the effects of internet use on farm income and household income using survey data from 478 rural farmers from two regions in Ghana. An endogenous switching regression (ESR) model and probit models were employed to achieve the aims of the study. The results revealed that internet use was influenced by off-farm employment, education, access to credit, non-fixed asset (NFA), age, and perception variables. We found that internet use increased farm income and household income by 20.1% and 15.47%, respectively. Regarding heterogeneous impacts, the estimates showed that internet use reduced farm income by 18.12% for farm households that participated in off-farm activities but increased farm income by 14.66% for households that had access to NFA. The estimates also indicated that internet use increased household income by 31.77% for farm households that engaged in off-farm employment and by 15.33% for those that had access to NFA. Furthermore, internet use increased the household income for households that did not engage in off-farm activities by 24.85%. The findings of this study will contribute significantly to the existing literature on information communication technology (ICT) in developing countries by providing a new reference for improving rural development and solving the problem of poverty.

ACS Style

Anthony Siaw; Yuansheng Jiang; Martinson Ankrah Twumasi; Wonder Agbenyo. The Impact of Internet Use on Income: The Case of Rural Ghana. Sustainability 2020, 12, 3255 .

AMA Style

Anthony Siaw, Yuansheng Jiang, Martinson Ankrah Twumasi, Wonder Agbenyo. The Impact of Internet Use on Income: The Case of Rural Ghana. Sustainability. 2020; 12 (8):3255.

Chicago/Turabian Style

Anthony Siaw; Yuansheng Jiang; Martinson Ankrah Twumasi; Wonder Agbenyo. 2020. "The Impact of Internet Use on Income: The Case of Rural Ghana." Sustainability 12, no. 8: 3255.

Earlycite article
Published: 02 January 2020 in International Journal of Climate Change Strategies and Management
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Purpose The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector has influenced globally through climate change and also hurts all sectors of economies. This study aims to examine and explore the impact of global climate change on agricultural output in China over the period of 1982-2014. Design/methodology/approach Different unit root tests including augmented Dickey–Fuller, Phillips–Perron and Kwiatkowski, Phillips, Schmidt and Shin are used to check the order of integration among the study variables. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the Johansen cointegration test are applied to assess the association among the study variables with the evidence of long-run and short-run analysis. Findings Unit root test estimations confirm that all variables are stationary at the combination of I(0) and I(1). The results show that CO2 emissions have a significant effect on agricultural output in both long-run and short-run analyses, while temperature and rainfall have a negative effect on agricultural output in the long-run. Among other determinants, the land area under cereal crops, fertilizer consumption, and energy consumption have a positive and significant association with agricultural output in both long-run and short-run analysis. The estimated coefficient of the error correction term is also highly significant. Research limitations/implications China’s population is multiplying, and in the coming decades, the country will face food safety and security challenges. Possible initiatives are needed to configure the Chinese Government to cope with the adverse effects of climate change on agriculture and ensure adequate food for the growing population. In concise, the analysis specifies that legislators and policy experts should spot that the climate change would transmute the total output factors, accordingly a county or regional specific and crop-specific total factor of production pattern adaptation is indorsed. Originality/value The present empirical study is the first, to the best of the authors’ knowledge, to investigate the impact of global climate change on agricultural output in China by using ARDL bounds testing approach to cointegration and Johansen cointegration test.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rehman; Abdul Rauf. Short and long-run impacts of climate change on agriculture: an empirical evidence from China. International Journal of Climate Change Strategies and Management 2020, 12, 201 -221.

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Abdul Rehman, Abdul Rauf. Short and long-run impacts of climate change on agriculture: an empirical evidence from China. International Journal of Climate Change Strategies and Management. 2020; 12 (2):201-221.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rehman; Abdul Rauf. 2020. "Short and long-run impacts of climate change on agriculture: an empirical evidence from China." International Journal of Climate Change Strategies and Management 12, no. 2: 201-221.

Agribusiness
Published: 01 January 2020 in Ciência Rural
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Due to the high risk associated with fishing, access to credit becomes very difficult for fishermen. The study was conducted to investigate the determinants of credit constraint on artisanal fishermen with survey data collected from artisanal fishermen in the Western and Central Regions of Ghana. A multi-stage sampling procedure was used to select respondents for the study. Data collected were analyzed with the aid of descriptive and IV-Probit model. Most of the fishermen were in their youthful stage. From the study, while boat ownership and off-fishing activity reduce the probability being credit constrained, complex procedure, and disbursement time lag increase fishermen probability of being credit constrained. The findings of the study also indicated that there is a significant difference between constrained and unconstrained fishermen fishing activity and financial status. Therefore, fishermen in need of additional credit should be catered for to increase their production, hence, livelihood.

ACS Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Frank Osei Danquah; Abbas Ali Chandio; Bright Korankye Asiamah. Determinants of credit constraint of artisanal fishermen in Ghana. Ciência Rural 2020, 50, 1 .

AMA Style

Martinson Ankrah Twumasi, Yuansheng Jiang, Frank Osei Danquah, Abbas Ali Chandio, Bright Korankye Asiamah. Determinants of credit constraint of artisanal fishermen in Ghana. Ciência Rural. 2020; 50 (3):1.

Chicago/Turabian Style

Martinson Ankrah Twumasi; Yuansheng Jiang; Frank Osei Danquah; Abbas Ali Chandio; Bright Korankye Asiamah. 2020. "Determinants of credit constraint of artisanal fishermen in Ghana." Ciência Rural 50, no. 3: 1.

Journal article
Published: 08 November 2019 in Sustainability
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This study is a maiden empirical attempt to examine the long-run linkage between households’ usage of energy and economic progression in Pakistan from the period of 1972–2017. The Autoregressive Distributive Lag (ARDL) bounds testing method to co-integrate is employed to expose the causality dynamics between the variables such as households’ electricity consumption, households’ gas consumption, population growth, and per capita Gross Domestic Product (GDP) in Pakistan. The study adopted three renowned unit root approaches through the use of the Augmented Dickey-Fuller (ADF), the Phillips-Perron (P-P), and Zivot-Andrews (Z&A) tests to check the stationarity of the variables, while the Johansen cointegration technique is also employed to assess the robustness of the long-run association. The validity of outcomes is also checked with casualty and variance decomposition. The estimated results reveal that, in both the short and long run, households’ electricity and gas usage positively affect economic growth, while population growth in the long-run has a negative impact, but the short-run analysis has a positive impact on economic growth in Pakistan. Additionally, the Granger causality and variance decomposition confirm the robustness of outcomes and suggesting a long run association among the variables, and a unidirectional causal link running from three variables to economic growth of Pakistan in the short run.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Jam Ghulam Murtaza Sahito; Fayyaz Ahmad. Empirical Insights into the Long-Run Linkage between Households Energy Consumption and Economic Growth: Macro-Level Empirical Evidence from Pakistan. Sustainability 2019, 11, 6291 .

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Jam Ghulam Murtaza Sahito, Fayyaz Ahmad. Empirical Insights into the Long-Run Linkage between Households Energy Consumption and Economic Growth: Macro-Level Empirical Evidence from Pakistan. Sustainability. 2019; 11 (22):6291.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Jam Ghulam Murtaza Sahito; Fayyaz Ahmad. 2019. "Empirical Insights into the Long-Run Linkage between Households Energy Consumption and Economic Growth: Macro-Level Empirical Evidence from Pakistan." Sustainability 11, no. 22: 6291.

Journal article
Published: 02 September 2019 in International Journal of Energy Sector Management
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Purpose This study aims to empirically examine the relationship between energy consumption and agricultural economic growth in Pakistan over the period from 1984 to 2016. Design/methodology/approach This study used the autoregressive distributed lag (ARDL) bounds testing approach to cointegration to investigate the long-run and short-run determinants of agricultural economic growth in Pakistan. Findings The results of the ARDL bounds testing approach to cointegration revealed that long-run linkage exists among the study variables. The findings of this paper showed that agricultural economic growth is positively affected by gas consumption and electricity consumption both in the long-run and short run. The long-run and short-run coefficients of gas consumption and electricity consumption were estimated to be 0.906, 0.421, 0.595 and 0.276, respectively. The estimated equation remains stable during the period from 1984 to 2016 as analyzed by the stability tests. Originality/value This study considers the relationship between energy consumption and agricultural economic growth in Pakistan by using an ARDL bounds testing approach to cointegration. The study has three contributions to economic literature:this study used different unit root tests to test stationarity of the variables such as ADF unit root test by Dicky and Fuller and P-P unit root test by Philip and Perron; the ARDL bounds testing approach to cointegration is applied to test the existence of long-run analysis between energy consumption and agricultural economic growth; and to check the robustness, the authors used the Johansen cointegration test to examine the long-run relationship between dependent and independent variables.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rehman. Energy consumption and agricultural economic growth in Pakistan: is there a nexus? International Journal of Energy Sector Management 2019, 13, 597 -609.

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Abdul Rehman. Energy consumption and agricultural economic growth in Pakistan: is there a nexus? International Journal of Energy Sector Management. 2019; 13 (3):597-609.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rehman. 2019. "Energy consumption and agricultural economic growth in Pakistan: is there a nexus?" International Journal of Energy Sector Management 13, no. 3: 597-609.

Journal article
Published: 21 August 2019 in Sustainability
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Energy consumption is a crucial factor to promote industrial sector contribution in an economy for its economic progression. Indeed, Pakistan is an emerging country, but recently adjoining with a very severe deficit of electricity sources. Hence, the industry value added growth leading to economic progression is also fronting inevitable challenges to promote the industry growth. The main objective of the study is to investigate the linkages between industrial sector oil, gas and electricity consumption, and renewable energy consumption with economic development in Pakistan. The findings display evidence of cointegration and a long-run relationship between the consumption of industrial energy and economic growth in Pakistan. The results showed that industrial electricity consumption and industrial gas consumption have a positive and statistically significant impact on economic growth both in the long run and the short run in Pakistan. Industrial oil consumption negatively impacts economic growth in the long run, but positively and statistically significantly impacts economic growth in the short run in Pakistan. Moreover, indications through the vector error correction model (VECM) model confirmed bi-directional relationships of industrial sector oil consumption and economic growth in Pakistan. Furthermore, the uni-directional nexus instituted between economic growth to industrial electricity consumption, industrial gas consumption to industrial electricity consumption, and industrial oil consumption to industrial electricity consumption. The findings uncovered solid interconnections among the studied variables and suggested that the Pakistani government should build a robust policy to diminish the oil, gas, and fossil fuels consumption for electricity production, as a replacement to depend on solar, hydro, wind, and biomass energy sources in Pakistan. Consequently, the government should promote more gas concentrated projects, as these will alleviate the contests of gas dearth and provide it to the industry at cheap prices with ease.

ACS Style

Abbas Ali Chandio; Abdul Rauf; Yuansheng Jiang; Ilhan Ozturk; Fayyaz Ahmad. Cointegration and Causality Analysis of Dynamic Linkage between Industrial Energy Consumption and Economic Growth in Pakistan. Sustainability 2019, 11, 4546 .

AMA Style

Abbas Ali Chandio, Abdul Rauf, Yuansheng Jiang, Ilhan Ozturk, Fayyaz Ahmad. Cointegration and Causality Analysis of Dynamic Linkage between Industrial Energy Consumption and Economic Growth in Pakistan. Sustainability. 2019; 11 (17):4546.

Chicago/Turabian Style

Abbas Ali Chandio; Abdul Rauf; Yuansheng Jiang; Ilhan Ozturk; Fayyaz Ahmad. 2019. "Cointegration and Causality Analysis of Dynamic Linkage between Industrial Energy Consumption and Economic Growth in Pakistan." Sustainability 11, no. 17: 4546.

Journal article
Published: 07 June 2019 in Journal of Asian Business and Economic Studies
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Purpose The purpose of this paper is to examine the effect of support price on wheat production in Pakistan during the period 1971–2016. Design/methodology/approach To capture the effect of support price on wheat production, the authors estimated the long-run linkage by using the ARDL bounds testing approach to cointegration. Findings This study confirmed the presence of a positive and long-term effect of area under cultivation, support price and fertilizer consumption on wheat production through ARDL bounds test. The results showed that both in the long run and short run, support price plays an important role in the enhancement of wheat production. The authors also found that the coefficients of the area under cultivation and fertilizer consumption variables were statistically significant and positive both in the long run and short run. Originality/value The use of the ARDL approach that examines the long-run and short-run effects of support price on wheat production in Pakistan makes the current study unique. An emerging economic literature suggests that only limited research has been conducted in this area.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rehman. Using the ARDL-ECM approach to investigate the nexus between support price and wheat production. Journal of Asian Business and Economic Studies 2019, 26, 139 -152.

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Abdul Rehman. Using the ARDL-ECM approach to investigate the nexus between support price and wheat production. Journal of Asian Business and Economic Studies. 2019; 26 (1):139-152.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rehman. 2019. "Using the ARDL-ECM approach to investigate the nexus between support price and wheat production." Journal of Asian Business and Economic Studies 26, no. 1: 139-152.

Journal article
Published: 16 May 2019 in Energies
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The main objective of this paper is to examine the long-term effects of financial development, economic growth, energy consumption (electricity consumption in the agriculture sector), foreign direct investment (FDI), and population on the environmental quality in Pakistan during the period of 1980 to 2016. We use CO2 emissions from the agriculture sector as a proxy indicator for environmental quality. We employ various unit root tests (e.g., ADF, PP, ERS, KPSS) and structural break unit root tests (Z&A, CMR) to check the stationarity and structural break in the data series. Cointegration tests, i.e., Johansen, Engle-Granger, and ARDL cointegration approaches are used to ensure their robustness. Results showed that significant long-term cointegration exists among the variables. Findings also indicated that an increase in financial development and foreign direct investment (FDI) improves environmental quality, whereas the increase in economic growth and electricity consumption in the agriculture sector degrades environmental quality in Pakistan. Based on the findings, we suggest policymakers should provide a conducive environment for foreign investment. Moreover, it is also suggested that a reliance on fossil fuels be reduced and a transition to renewable energy sources be encouraged to decrease the environmental pollution in the country.

ACS Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rauf; Amir Ali Mirani; Rashid Usman Shar; Fayyaz Ahmad; Khurram Shehzad. Does Energy-Growth and Environment Quality Matter for Agriculture Sector in Pakistan or not? An Application of Cointegration Approach. Energies 2019, 12, 1879 .

AMA Style

Abbas Ali Chandio, Yuansheng Jiang, Abdul Rauf, Amir Ali Mirani, Rashid Usman Shar, Fayyaz Ahmad, Khurram Shehzad. Does Energy-Growth and Environment Quality Matter for Agriculture Sector in Pakistan or not? An Application of Cointegration Approach. Energies. 2019; 12 (10):1879.

Chicago/Turabian Style

Abbas Ali Chandio; Yuansheng Jiang; Abdul Rauf; Amir Ali Mirani; Rashid Usman Shar; Fayyaz Ahmad; Khurram Shehzad. 2019. "Does Energy-Growth and Environment Quality Matter for Agriculture Sector in Pakistan or not? An Application of Cointegration Approach." Energies 12, no. 10: 1879.

Journal article
Published: 31 March 2019 in Journal of Agricultural Extension and Rural Development
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ACS Style

Ankrah Twumasi Martinson; Jiang Yuansheng; Owusu Acheampong Monica. Determinants of agriculture participation among tertiary institution youths in Ghana. Journal of Agricultural Extension and Rural Development 2019, 11, 56 -66.

AMA Style

Ankrah Twumasi Martinson, Jiang Yuansheng, Owusu Acheampong Monica. Determinants of agriculture participation among tertiary institution youths in Ghana. Journal of Agricultural Extension and Rural Development. 2019; 11 (3):56-66.

Chicago/Turabian Style

Ankrah Twumasi Martinson; Jiang Yuansheng; Owusu Acheampong Monica. 2019. "Determinants of agriculture participation among tertiary institution youths in Ghana." Journal of Agricultural Extension and Rural Development 11, no. 3: 56-66.