scholarly journals Determinants of Fallow Land in Different Districts of Madhya Pradesh

Author(s):  
Rajendra Singh Bareliya ◽  
Satyendra S. Thakur ◽  
H. O. Sharma ◽  
P. R. Pandey ◽  
Vishal Mehta

The research study based on time series secondary data (2001-02 to 2015-16) of 51 district which were related to net area sown, rainfall, total fallow land, area under non agricultural uses and net irrigated area. The whole Madhya Pradesh was subdivided into two head i.e. major (14) and other fallow land (37) districts for the study. The area under fallow land showed decreasing trend by -19.26 percent from 601.90 thousand ha (The base year) to 485.99 thousand ha (The current year) with fluctuation of 9.94 percent (56.80 thousand ha) and magnitude of -8.97 thousand ha per year this also showed a negative compound growth of 0.98 percent per year during the period under study. The 1.00 per cent increase in net area irrigated to net area sown resulting highly significant decrease in share of total fallow land to total net sown area by 0.27 per cent. The aim of study was find out the fallow land in various districts of Madhya Pradesh.

The study was undertaken to analyze the growth in different parameters of land use pattern and factors responsible for fallow land across various agro-climatic zones of Madhya Pradesh. The secondary data were collected for the last 14 years (2000-01 to 2013-14) for the 11 agro-climatic zones which covered all the 51 districts of Madhya Pradesh. It was found that net area sown, gross cropped area and cropping intensity showed increasing and highly significant trend whereas declining and highly significant trend was observed in area under uncultivated land, cultivable wasteland, current fallow of most of the agro-climatic zones as well as state. It was also found that rainfall, gross irrigated area, and cropping intensity were the factors which significantly reduced the area under fallow lands in some of the agro-climatic zones of Madhya Pradesh. Hence, it is important to bring the cultivable waste land and fallow land under cultivation to boost agricultural production.


2020 ◽  
Vol 3 (1) ◽  
pp. 38-49
Author(s):  
Elisabeth Lumban Gaol ◽  
Armen Mara ◽  
Riri Oktari Ulma

This study aims to (1) the progress bokar production, the land area to produce crops, the land area of ​​old plants, the amount of labor, rainfall and number of days of rain in Batanghari regency during the period 2001 to 2015 (2) Determine how much influence hectarage produce, the land area of ​​old plants, the amount of labor, rainfall and number of days of rain to the production bokar in Batanghari regency during the period 2001-2015. The data used in this research is secondary data time series (time series) for 5 years (2001-2015). Test data is stationary using the unit root test Phillip Perron (PP). The analysis model is a linear regression. The test model using normality test, multicollinearity, heteroscedasticity test and autocorrelation test. The results showed that the area of ​​cultivated land, the area of ​​old plantation, the amount of labor, rainfall and amount of rain days together significantly affect the production of bokar in Batanghari regency. Partially, the factors that have a positive and significant effect on bokar production in Batanghari Regency are the area of ​​cultivated land and the amount of labor. Factor area of ​​old crop land have negative and significant effect, while rainfall factor and rainy day partially have no significant effect on bokar production.  


2018 ◽  
Vol 7 (4) ◽  
pp. 200-208
Author(s):  
Angga Hapsila

The research was conducted by the writer on BTM Mentari in sub districts rengat - indragiri upstream. District. The research phase lasting three months. This research study is to find savings, influence financing and capital to profit in the district btm mentari Indragiri upstream. This research used secondary data , writer process data by using multiple linear regression the it using spss ( statistic package for social scince ) 24 version to get output to summarizing the research. The research that is simultaneously a conclusion can be drawn is the significant savings, between financing and capital to profit. This can be seen that the f count greater than the f table ( 29,873 > 2,36 ) When viewed from the table a model summary so r which means a correlation coefficient obtained value of 0,984 which means the amount of savings mobilized , the financing of the and capital had strong ties against spider does not permit the .Was in the middle of the value of the coefficients detrminasi as much as 0,968 paper work showing that the amount of savings mobilized , the financing of the and capital affect of the spider that has been accepted by the BTM the spacecraft mentari as much as 96,80 % the remaining of 3,20 % influenced by the fact that of other variables that do not writer you wherever you may be.


Author(s):  
Richard McCleary ◽  
David McDowall ◽  
Bradley J. Bartos

Chapter 8 focuses on threats to construct validity arising from the left-hand side time series and the right-hand side intervention model. Construct validity is limited to questions of whether an observed effect can be generalized to alternative cause and effect measures. The “talking out” self-injurious behavior time series, shown in Chapter 5, are examples of primary data. Researchers often have no choice but to use secondary data that were collected by third parties for purposes unrelated to any hypothesis test. Even in those less-than-ideal instances, however, an optimal time series can be constructed by limiting the time frame and otherwise paying attention to regime changes. Threats to construct validity that arise from the right-hand side intervention model, such as fuzzy or unclear onset and responses, are controlled by paying close attention to the underlying theory. Even a minimal theory should specify the onset and duration of an impact.


2021 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Rohim Rohim ◽  
Mike Triani

The purpose of this research is to determine (1) the effect of income on gas consumption in Indonesia (2) the effect of population on gas consumption in Indonesia (3) the effect of industrial growth on gas consumption in Indonesia. This type of research is descriptive and associative. The data used in this research is secondary data from Indonesia in the form of time series data from 1970 to 2019 and this data was obtained from official institutions of the World Bank and BP Statistic World. The data were processed using multiple linear regression. The results showed that the income had a negative and significant effect on gas consumption with a probability value of 0.0005 <0.05, the population had a positive and significant effect on gas consumption with a value of prob t-count of 0.0010 <0.05 and industrial growth had a positive and significant effect on gas consumption.  The significant to gas consumption in Indonesia with a value of prob t-count value of 0.5219 <0.05 and suggestions for further researchers to be able to analyze other factors that affecting gas consumption in Indonesia.  Because from the gas sectors, there are still many factors that affected gas consumption until the research results will be better


2021 ◽  
Vol 3 (2) ◽  
pp. 11
Author(s):  
Rafi Hidayat ◽  
Sri Ulfa Sentosa

This study aims to systematize and explain the effect of land area, fertilizer use and labor on agriculture output of food crops in Indonesia. This type of research is quantitative research, the data used is secondary data which is analyzed using panel regression analysis. The estimation result show that land area has a negative and insignificant effect on agricultural output of food crops in Indonesia, the amount of fertilizer use has a positive and significant effect on agricultural output of food crops in Indonesia and labor has a negative and insignificant effect on agricultural output of food crops in Indonesia. Therefore this study proposes the government to be able to run a program that can increase land production power and labor production power in order to increase agricultural output of food crops.


Author(s):  
Esat Ali Durguti

The main purpose of this study is to investigate if determinants that we selected in our analysis have any effects on inflation rate in Western Balkans Countries[1] by using panel data for the period of 2001-2017, in yearly basis in total of 102 observation. The study used quantitative analysis approach and secondary data by applying the multivariate time series, respectively vector error correction model [VECM]. Multivariate time series was applied to investigate whether the budget deficit and other explanatory variable have any significant impact on inflation rate. The results from our analysis shows that three of four determinates that we used are significant on inflation rate. The model summaries statistics for inflation rate which shows that inflation rate has a moderate correlation with explanatory variables that we used in our model, that explanatory variables explain 45.5 percent of dependent variable and we can conclude that a model is a proper and fit. The results suggest that one percent point increase in budget deficit to GDP ratio is associated with about a 9.34 percent point increase in inflation rate.  The overall inference is that the ratios that we selected has a significant influence on the inflation rate in Western Balkans Countries.      [1] Western Balkans Countries: Albania, Bosnia & Hercegovina, Kosovo, Montenegro, North Macedonia and Serbia.


Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 553
Author(s):  
Putri Maya ◽  
Yulhendri Yulhendri

Abstract:  One indicator used to measure economic development is employment. The huge population growth each year will certainly have an impact on increasing the number of the workforce and will certainly give meaning that the number of people looking for work will increase, along with that the workforce will also increase. This study aims to analyze the effect of wages, investment and economic growth on labor demand in West Sumatra. This study uses secondary data in the form of time series with an observation period of 2013-2017. Data obtained from the Central Statistics Agency (BPS), data analysis using the panel regression method with the program eviews. The results of this study include wages that negatively and significantly affect labor demand in West Sumatra. While investment and economic growth have a positive and significant effect on labor demand in West Sumatra. And the most dominant factor influencing labor demand in West Sumatra is the Economic Growth factor where the factor has the greatest regression coefficient among other factorsKeywords: labor, wages, investment, economic growth


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 557
Author(s):  
Putri Yeni ◽  
Syamsul Amar ◽  
Alpon Satrianto

This study aims to analyze the influence of interest rates, Loan to Deposit Ratio (LDR) and credit growth to inflation in Indonesia. This type of research is descriptive research and uses secondary data in the form of time-series from 2007 to 2016 using the method of multiple linear regression analysis. The results of this study indicate that interest rates have a significant and positive effect on inflation in Indonesia. The Loan to Deposit Ratio (LDR) has a significant and positive effect on inflation in Indonesia. Credit growth has a significant and positive effect on inflation in Indonesia. Based on the results of this study it can be concluded that there is a significant influence between interest rates, Loan to Deposit Ratio (LDR) and credit growth to inflation in Indonesia. Keyword: Inflation, Interest Rate, Loan to Deposit Ratio (LDR), Credit Growth


2018 ◽  
Vol 3 (4) ◽  
pp. 525-533
Author(s):  
Raudhatul Husna ◽  
Azhar Azhar ◽  
Edy Marsudi

Abstrak. Alih fungsi lahan atau lazimnya disebut sebagai konversi lahan adalah  perubahan fungsi sebagian atau seluruh kawasan lahan dari fungsinya semula (seperti yang direncanakan) menjadi fungsi lain yang membawa dampak negatif terhadap lingkungan dan potensi lahan itu sendiri. Penelitian ini bertujuan untuk mengetahui apakah harga lahan, kepadatan penduduk, produktivitas padi dan jumlah PDRB dapat mempengaruhi alih fungsi lahan sawah di Kabupaten Aceh Besar. Data yang digunakan dalam penelitian ini adalah data sekunder. Data yang dikumpulkan adalah data time series dengan range tahun 2002 sampai 2016. Penelitian ini menggunakan metode analisis  regresi linier berganda. hasil penelitian dan pembahasan serta pengujian SPSS menunjukkan bahwa harga lahan, kepadatan penduduk, dan produktivitas padi berpengaruh nyata terhadap alih fungsi lahan sawah di Kabupaten Aceh Besar. sedangkan jumlah PDRB tidak berpengaruh terhadap alih fungsi lahan sawah. Hal ini ditunjukkan oleh koefisien regresi untuk variabel jumlah PDRB sebesar 0,00015. Hasil pengujian statistik menunjukkan nilai t hitung untuk jumlah PDRB sebesar 1,315 dengan nilai signifikan sebesar 0,218. Sedangkan nilai t tabel sebesar 1,782 yang berarti nilai t hitung t tabel (1,315 1,782).  Factors Affecting The Conversion Of Paddy Fields In Kabupaten Aceh Besar Abstract. Land use change or commonly referred to as land conversion is a change in the function of part or all of the land area from its original function (as planned) into other functions that bring negative impacts to the environment and the potential of the land itself. This study aims to find out whether the price of land, population density, rice productivity and the amount of GRDP can affect the conversion of rice field functions in Aceh Besar District. The data used in this research is secondary data. The data collected is time series data with range of year 2002 until 2016. This research use multiple linier regression analysis method. the results of research and discussion and testing of SPSS showed that land price, population density, and rice productivity significantly affected the conversion of wetland in Aceh Besar district. while the number of GDP does not affect the conversion of wetland. This is indicated by the regression coefficient for the GRDP variable of 0.00015. The results of statistical tests show the value of t arithmetic for the amount of GRDP by 1.315 with a significant value of 0.218. While the value of t table of 1.782 which means the value of t arithmetic t table (1,315 1.782).


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